examples of quantitative research questions in nursing

120+ Best Quantitative Research Topics for Nursing Students (2024 Edition)

• Post author By admin
• October 7, 2023

Explore a comprehensive list of quantitative research topics for nursing students, covering various aspects of healthcare.

Welcome to the exciting world of nursing research! For nursing students, quantitative research is like a treasure map, guiding you through the uncharted waters of healthcare with data as your compass.

It’s not just about numbers; it’s about unlocking the secrets of patient care, unraveling the mysteries of healthcare policies, and making a real impact in the field.

In this article, we’re your partners in this thrilling quest as we unveil a treasure trove of quantitative research topics tailor-made for nursing students.

These topics aren’t just lines on a page; they’re sparks of inspiration that can ignite your curiosity and fuel your passion for nursing.

So, whether you’re just beginning your research journey or you’re a seasoned explorer, grab your mental hiking boots, and let’s venture into the captivating world of quantitative research topics that will take your nursing studies to extraordinary places.

Table of Contents

The Significance of Quantitative Research in Nursing

Welcome to the dynamic world of nursing, where patient well-being is paramount. Beyond the bustling corridors and comforting smiles of nurses, there’s a vital aspect that often goes unseen but holds tremendous significance: quantitative research.

Quantitative research is like a secret ingredient that elevates nursing from being a caring profession to a dynamic force of positive change in healthcare. It’s the art of collecting, crunching, and deciphering numbers to uncover profound insights. In nursing, quantitative research shines for a multitude of reasons:

1. Identifying Trends in Patient Health

Think of it as a detective’s magnifying glass, revealing hidden patterns in patient data. Nurses can track changes over time, deciphering trends that could be game-changers in patient care.

2. Evaluating the Effectiveness of Interventions

When nurses administer treatments or implement new protocols, they want to know if it’s making a difference. Quantitative research steps in to provide concrete answers, ensuring that patient care isn’t just a guessing game.

3. Informing Policy Decisions

Policies shouldn’t be written in the dark. Quantitative research sheds light on what works and what doesn’t in healthcare, shaping policies that are backed by hard data.

4. Enhancing Evidence-Based Practice

It’s the golden standard in healthcare. Nurses are expected to base their decisions on research findings. Quantitative research equips nurses with a powerful tool to make informed choices, ultimately benefiting patients.

So, quantitative research isn’t just about numbers and statistics. It’s the compass that guides nurses in their quest to provide top-notch care, the fuel that propels innovation in healthcare, and the cornerstone of evidence-based practice.

For nursing students setting out on their educational odyssey and seasoned nurses striving for excellence, embracing quantitative research isn’t just a choice; it’s the heartbeat of progress.

It’s a journey of discovery that leads to better patient outcomes, more effective care, and a brighter future for healthcare.

Quantitative Research Topics For Nursing Students

Check out the best quatitive research topics for nursing students:-

Patient Care and Outcomes

• Analyzing the Relationship Between Nurse-Patient Ratios and Incidence of Medication Errors.
• Investigating the Impact of Early Ambulation Protocols on Postoperative Complications in Orthopedic Patients.
• Conducting a Longitudinal Study on Medication Adherence Among Diabetes Patients.
• Identifying Risk Factors Associated with Patient Falls in Geriatric Care Settings.
• Assessing the Effectiveness of Nurse Communication Training on Patient Satisfaction Scores.
• Examining the Impact of Hourly Rounding on Patient Call Light Usage in Medical-Surgical Units.
• Analyzing the Correlation Between Nurse Experience Levels and Pressure Ulcer Rates.
• Investigating the Use of Telehealth Monitoring on Readmission Rates Among Heart Failure Patients.
• Evaluating the Effectiveness of Pain Assessment Tools in Pediatric Pain Management.
• Measuring the Impact of Nurse-Driven Protocols on Reducing Hospital-Acquired Infections.

Healthcare Quality and Management

• Implementing Lean Management Principles in an Outpatient Clinic to Improve Efficiency.
• Assessing the Impact of Electronic Health Record System Upgrades on Clinical Workflow.
• Conducting a Patient Satisfaction Survey to Identify Areas for Quality Improvement in an Emergency Department.
• Analyzing the Implementation of Evidence-Based Practice Guidelines in a Surgical Unit.
• Evaluating the Impact of Hospital Policies on Reducing Medication Errors.
• Investigating the Effect of Nurse-to-Nurse Handoff Communication on Patient Safety.
• Measuring the Efficiency of Discharge Planning in Reducing Readmission Rates.
• Analyzing the Use of Six Sigma Methodology in Improving Radiology Department Operations.
• Assessing the Impact of Nurse-Led Interdisciplinary Rounds on Care Coordination.
• Examining the Role of Healthcare Administrators in Promoting Patient-Centered Care.

Mental Health and Well-Being

• Evaluating the Efficacy of Mindfulness-Based Stress Reduction Programs for Nursing Students.
• Investigating the Impact of Nursing Workload on Nurse Burnout and Patient Outcomes in Psychiatric Units.
• Assessing the Effectiveness of School-Based Mental Health Education Programs on Student Well-Being.
• Analyzing the Relationship Between Sleep Quality and Mental Health in College Students.
• Conducting a Comparative Study of Teletherapy versus In-Person Therapy for Treating Depression.
• Investigating the Influence of Peer Support Groups on Coping with Anxiety Disorders.
• Evaluating the Effect of Art Therapy on Reducing Stress and Anxiety in Hospitalized Patients.
• Assessing the Impact of Nurse-Led Mental Health Screenings in Primary Care Settings.
• Measuring the Efficacy of Cognitive Behavioral Therapy in Treating Post-Traumatic Stress Disorder.
• Analyzing the Role of Psychiatric Nurse Practitioners in Improving Mental Health Access in Underserved Areas.

Pediatrics and Child Health

• Conducting a Longitudinal Study on Childhood Obesity Trends and Contributing Factors.
• Investigating Parental Attitudes and Knowledge Regarding Childhood Vaccinations.
• Assessing the Impact of Parental Involvement in Pediatric Asthma Management on Disease Control.
• Implementing an Early Intervention Program for Speech Delay in Toddlers and Measuring Outcomes.
• Analyzing the Effectiveness of Pediatric Pain Management Protocols in Emergency Departments.
• Evaluating the Use of Pediatric Simulation Training for Nursing Students.
• Investigating Parental Perceptions of Childhood Immunizations and Vaccine Hesitancy.
• Assessing the Influence of Childhood Nutrition Education on Dietary Choices and Health Outcomes.
• Conducting a Comparative Study of Pediatric Nursing Care in Hospital vs. Home Settings.
• Analyzing the Impact of Child Life Specialists on Pediatric Patient Anxiety in Hospitals.

Community Health and Health Disparities

• Conducting a Cross-Cultural Study on Healthcare Access Disparities Among Diverse Ethnic Groups.
• Evaluating the Impact of Community Health Worker Interventions on Reducing Health Inequities.
• Assessing the Effectiveness of School-Based Health Promotion Programs in Underserved Areas.
• Investigating Barriers to Accessing Mental Health Services in Rural Communities.
• Analyzing the Influence of Public Health Campaigns on Smoking Cessation in Low-Income Neighborhoods.
• Conducting a Longitudinal Study on the Relationship Between Neighborhood Environments and Health Outcomes.
• Evaluating the Effectiveness of Nutrition Education Programs in Reducing Childhood Obesity Disparities.
• Investigating the Impact of Medicaid Expansion on Healthcare Access and Health Disparities.
• Assessing the Role of Cultural Competency Training in Reducing Healthcare Disparities.
• Analyzing the Utilization of Telehealth Services in Addressing Rural Healthcare Disparities.

Nursing Education and Training

• Evaluating the Integration of Simulation-Based Learning into Nursing Curricula and Its Impact on Clinical Competency.
• Assessing the Effectiveness of Nursing Preceptorship Programs in Improving New Graduate Nurse Transitions.
• Investigating Factors Influencing Nursing Students’ Choice of Specialization and Career Paths.
• Analyzing the Use of Technology-Enhanced Learning Tools in Nursing Education.
• Evaluating the Long-Term Outcomes and Career Advancement of Certified Nursing Professionals.
• Assessing the Impact of Multisensory Teaching Approaches on Nursing Students’ Knowledge Retention.
• Investigating the Effect of Educational Interventions on Nursing Students’ Critical Thinking Skills.
• Analyzing the Role of Faculty Mentorship in Nursing Student Success.
• Evaluating the Efficacy of Interprofessional Education in Nursing and Healthcare.
• Assessing the Impact of Clinical Simulation on Nursing Students’ Confidence and Clinical Decision-Making.

Elderly Care and Aging Population

• Investigating the Relationship Between Polypharmacy and Adverse Drug Reactions in Elderly Patients.
• Analyzing the Role of Geriatric Nurses in Detecting and Preventing Elder Abuse in Nursing Homes.
• Evaluating the Effectiveness of Person-Centered Care Approaches in Long-Term Care Facilities.
• Assessing the Impact of Falls Prevention Programs on Reducing Fall-Related Injuries in the Elderly.
• Investigating the Influence of Social Isolation on Cognitive Decline in Older Adults.
• Analyzing the Use of Telehealth Services in Providing Geriatric Care and Monitoring.
• Evaluating the Effect of Nutrition Programs on the Nutritional Status and Health Outcomes of Elderly Individuals.
• Assessing the Role of Gerontological Nurse Practitioners in Managing Chronic Illnesses in Older Adults.
• Investigating the Impact of Aging-Friendly Home Modifications on Elderly Independence.
• Analyzing the Effectiveness of Memory Enhancement Interventions in Delaying Cognitive Impairment in Seniors.

These project ideas offer a wide range of opportunities for nursing students to engage in meaningful quantitative research, contribute to the field of nursing, and address critical healthcare issues across various domains.

What are the quantitative research topics for nursing?

In the world of nursing, data isn’t just numbers; it’s the key to unlocking insights that can transform patient care.

Quantitative research, with its focus on collecting and analyzing numerical data, is the superpower that empowers nurses and nursing students to answer critical questions. It’s the compass that guides us through a multitude of fascinating topics in healthcare.

Here’s a glimpse of the diverse world that quantitative research in nursing opens up:

Prevalence and Risk Factors for Diseases and Conditions

This type of research helps us understand not only the most common diseases and conditions but also the factors that increase the likelihood of someone developing them. It’s like shining a spotlight on health risks.

Effectiveness of Treatments and Interventions

Whether it’s a new drug or an innovative therapy, quantitative research allows us to rigorously test their effectiveness. It’s the litmus test for healthcare solutions.

Quality Assessment of Healthcare Services

Want to know how different healthcare facilities stack up in terms of quality? Quantitative research is the yardstick for evaluating services in hospitals, clinics, and nursing homes.

Impact of Nursing Care on Patient Outcomes

The care nurses provide isn’t just about empathy; it’s about measurable outcomes like hospital stays, readmission rates, and even mortality. Quantitative research connects the dots.

Now, let’s dive into some specific and intriguing quantitative research topics in nursing:

The Relationship Between Nurse Staffing Levels and Patient Outcomes

Ever wondered how the number of nurses on duty affects the experiences and health outcomes of patients? It’s an essential question for improving patient care.

The Effectiveness of Various Pain Management Interventions for Cancer Patients

For those battling cancer, effective pain management can be a game-changer. Quantitative research helps us identify what works best.

Prevalence and Risk Factors for Pressure Ulcers in Hospitalized Patients

Pressure ulcers are a significant concern in healthcare. Quantitative research unveils their prevalence and contributing factors.

Impact of Educational Programs on Nurses’ Knowledge and Skills

The learning and training of nurses are pivotal. Quantitative research assesses how educational programs enhance nurses’ knowledge and abilities.

The Relationship Between Nurses’ Job Satisfaction and Patient Satisfaction

Happy nurses, happy patients – that’s the mantra. Quantitative research explores the connection between nurses’ job satisfaction and the contentment of those they care for.

Quantitative research isn’t just about data; it’s about making healthcare better, more effective, and patient-focused. It’s the bridge between questions and answers, between problems and solutions.

What is an example of quantitative research for nursing students?

For nursing students, quantitative research is like a treasure map, guiding them to uncover valuable healthcare insights. It’s not about complex data but practical answers to vital questions.

Here are two exciting examples of quantitative research topics made simple:

Do More Nurses Mean Better Care?

Imagine a busy hospital. Does having more nurses around mean better care for patients? This is a question nursing students can investigate.

They can study a hospital, noting the number of nurses for each patient and patient outcomes like how long they stay, how often they’re readmitted, and even survival rates.

By connecting the dots in this data, students can find out if more nurses lead to better patient outcomes.

Soothing Pain for Cancer Patients

Cancer patients often deal with pain, and easing it is crucial. Quantitative research can help answer which pain management methods work best. Nursing students can set up a trial, testing different pain relief approaches.

They might compare various medicines and alternative options like massage or acupuncture. Once the trial is done and data collected, students can tell us which pain relief method works best for cancer patients.

Quantitative research isn’t just about numbers; it’s about nursing students making healthcare better. By exploring these topics, students not only learn but also become healthcare problem-solvers.

It’s a journey of discovery that promises to improve patient care and the quality of healthcare services, one research question at a time.

What are some good research topics for nursing?

In the world of nursing, research is a powerful tool for improving patient care and making healthcare more effective.

Here are some simple and engaging research topics that nursing students and professionals can delve into:

Better Communication, Better Care

How can nurses’ communication skills influence patient satisfaction and health outcomes? Investigate how clear and compassionate communication can make a difference.

Tackling Nurse Burnout

Nursing can be challenging. Explore ways to prevent burnout among nurses and ensure they stay healthy and motivated in their demanding roles.

Mental Health Matters

Delve into the stigma surrounding mental health among nurses. Does it affect their willingness to seek help and their ability to provide quality care?

Making Care Safer

Patient safety is crucial. Study strategies to reduce medical errors and improve patient safety in hospitals and healthcare facilities.

Technology and Nursing

How is technology changing nursing practice? Analyze the impact of electronic health records , telemedicine, and other innovations on patient care.

Cultural Competence Counts

Why is cultural competency vital in nursing care? Explore the benefits of nurses understanding and respecting diverse cultural backgrounds.

Nurse-Patient Ratios

Do nurse staffing levels affect patient outcomes? Investigate how the number of nurses on duty relates to patient mortality, readmissions, and infections.

Palliative Care Excellence

Assess the effectiveness of palliative care programs in enhancing the quality of life for patients with terminal illnesses.

Education for Competence

How can nursing education prepare students for real-world practice? Look into innovative educational methods like simulation-based learning.

Pain Relief for Kids

Pediatric patients need specialized care, especially when it comes to pain management. Explore methods to improve pain management for young patients.

Closing Health Gaps

Investigate the factors contributing to health disparities among different populations, with a focus on maternal and child health.

Nursing Leadership’s Impact

Examine how different leadership styles among nurses influence the work environment, job satisfaction, and patient care quality.

Ethical Decisions in Nursing

Explore the ethical dilemmas that nurses face in their daily practice and develop guidelines for making ethical decisions.

Managing Chronic Conditions

Study nursing-led interventions in managing chronic diseases like diabetes or hypertension to improve patient outcomes.

Aging and Long-Term Care

With an aging population, explore the unique challenges and opportunities in providing care for elderly individuals.

These research topics are not just about numbers; they’re about improving nursing practice and patient care, one study at a time. They offer a chance for nurses and nursing students to make a real impact in the healthcare world.

What are topics suitable for quantitative research?

Quantitative research is like a magnifying glass for understanding the world through numbers. Here are some simple and engaging topics that can be explored:

How Teaching Methods Affect Grades

Dive into how different teaching techniques impact students’ grades. Do interactive lessons lead to better results?

Measuring Patient Happiness

Ever wondered what makes patients happy? Quantify their satisfaction with healthcare services and discover what matters most.

Happy Workers, Productive Workers

Explore whether happy employees are more productive. Does job satisfaction lead to better job performance?

Lifestyle Choices and Health

Connect the dots between lifestyle habits like diet, exercise, and health outcomes. Does a healthy lifestyle reduce the risk of diseases?

Ads and Buying Habits

Find out how advertising influences what we buy. Do those catchy commercials really make a difference?

Tourism’s Impact on Communities

Measure how tourism affects local economies. Does it bring in money and jobs?

Fighting Crime with Community Policing

Quantify crime rates in an area and see if community policing strategies make neighborhoods safer.

Parental Help and School Success

Investigate how parents’ involvement in their child’s education influences their academic achievements.

Pollution and Health

Study the link between exposure to pollution and health problems. Can cleaner environments lead to healthier lives?

Social Media and Mental Health

Examine how our use of social media affects our mental well-being. Does scrolling through feeds impact our happiness?

Training and Skills

Measure the effectiveness of employee training programs. Do they really boost skills on the job?

Online Shopping Satisfaction

Gauge customer satisfaction with online shopping platforms. What makes for a great online shopping experience?

Politics and Public Opinion

Take the pulse of public opinion on political issues. How do people’s views affect their voting choices?

Employee Engagement and Job Retention

Quantify how engaged employees are in their work and see if it affects whether they stay or leave.

Vaccines and Disease Preventio

Investigate how effective vaccination campaigns are in preventing diseases.

These topics aren’t just about numbers; they’re about understanding the world in a clearer, more meaningful way. They’re like puzzles waiting to be solved, and they have the power to make our lives better and more informed.

Quantitative research topics for nursing students are more than just ideas; they’re pathways to understanding and improving healthcare.

These topics beckon students to embark on a journey of exploration, discovery, and impact. They offer the chance to seek answers, enhance patient care, and contribute to the evolution of nursing practice.

As nursing students delve into research, they become storytellers of data and advocates for evidence-based care. It’s a journey where questions lead to insights, where data transforms into knowledge, and where research isn’t a task but a mission.

From unraveling the mysteries of nurse staffing and its effects on patients to exploring innovative pain management techniques, each research topic opens doors to better practices and better outcomes. These topics are bridges between theory and real-world solutions.

In the world of quantitative research, nursing students are the architects of change, designing a future where healthcare is more effective, compassionate, and patient-centered.

Their work doesn’t end with research papers; it extends to the bedside, touching the lives of those they care for.

So, as nursing students embark on their research journeys, let them remember that their efforts matter. Every question they ask, every dataset they analyze, and every conclusion they draw has the potential to improve lives. They are the drivers of progress, making healthcare better, one research topic at a time.

Frequently Asked Questions

Can i change my research topic after i’ve started my study.

Yes, it’s possible to adjust your research topic if you find that your initial choice isn’t yielding the expected results or if you develop a stronger interest in another area. However, consult with your advisor or faculty for guidance on making this decision.

How can I narrow down a broad research topic?

To narrow down a broad research topic, consider focusing on a specific aspect or population within that topic. Conduct a literature review to identify gaps in existing research, which can help you refine your research question.

Are quantitative research topics more challenging than qualitative ones?

The difficulty of a research topic depends on your familiarity with the subject matter and research methods. Quantitative research often involves statistical analysis, which can be challenging for some students, but it can also provide clear and objective results.

Can I collaborate with other students on a research project?

Collaboration can be beneficial in research projects. Working with peers allows you to share ideas, distribute workload, and gain diverse perspectives. However, ensure that each member contributes substantially to the project.

How do I ensure the ethical conduct of my research?

Ethical considerations are vital in research. Seek guidance from your institution’s ethics committee, obtain informed consent from participants, and follow ethical guidelines in data collection, analysis, and reporting.

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200+ Quantitative Research Topics for Nursing Students [Updated 2023]

Quantitative research plays an important role in the field of nursing education. It empowers nursing students to develop critical thinking skills, fosters evidence-based practice, and paves the way for career growth in the nursing profession. However, the journey of a nursing student in selecting the right quantitative research topic can be daunting. In this blog, we’ll delve into the world of quantitative research topics for nursing students. 

We’ll discuss why these topics matter, offer tips on choosing them, and provide a comprehensive list of intriguing research ideas across various nursing subfields.

Benefits of Quantitative Research for Nursing Students

Table of Contents

Before we dive into the world of quantitative research topics for nursing students, let’s understand why quantitative research is so crucial for nursing students:

• Enhancing Critical Thinking Skills: Nursing students often find themselves in situations where they must assess, analyze, and make decisions that directly impact patient care. Engaging in quantitative research hone these critical thinking skills, enabling students to approach complex problems methodically.
• Contributing to Evidence-Based Nursing Practice: Evidence-based practice is the cornerstone of modern healthcare. Quantitative research empowers nursing students to explore and apply the latest evidence in their clinical practice, ensuring the best possible care for patients.
• Career Advancement: As nursing professionals progress in their careers, research experience becomes increasingly valuable. Nurses who can conduct and interpret quantitative research are more likely to secure leadership roles, contribute to policy development, and influence positive change in healthcare systems.

How to Choose Quantitative Research Topics

Selecting suitable quantitative research topics for nursing students is the first and often the most critical step in the research process. Here are some tips for nursing students on how to choose the right quantitative research topic:

Opt for a topic that aligns with your interests and career goals. Research is a long journey, and enthusiasm for your topic will sustain your motivation.

Feasibility

Consider the resources available to you. Assess the feasibility of data collection, analysis, and the overall research process. A well-planned study within your means is more likely to succeed.

Literature Review

Conduct a thorough literature review to identify gaps in existing research. Your topic should address an unanswered question or provide a fresh perspective on an existing issue.

Consult with Advisors

Seek guidance from your professors or mentors. They can help you refine your research question and provide valuable insights based on their experience.

200+ Quantitative Research Topics for Nursing Students

Now, let’s explore a range of quantitative research topics that nursing students can consider across different subfields:

Nursing Workforce and Patient Outcomes

• The Impact of Nurse-Patient Ratios on Patient Outcomes in Critical Care Units.
• Assessing the Relationship Between Nurse Staffing Levels and Falls Among Hospitalized Patients.
• The Effect of Nursing Workload on Medication Errors in Acute Care Settings.
• Investigating the Influence of Nurse Experience on Surgical Site Infections.
• Nurse Burnout and Its Consequences on Patient Safety and Satisfaction.
• Examining the Link Between Nurse-to-Patient Ratios and Pressure Ulcer Development.
• The Role of Nurse Education and Certification in Reducing Hospital Readmissions.
• Assessing the Impact of Nursing Leadership Styles on Patient Outcomes.
• Investigating the Association Between Nurse Retention Rates and Patient Mortality.
• The Effect of Multidisciplinary Team Collaboration on Patient Care in Oncology Units.
• Nurse-Patient Communication and Its Effect on Pain Management in Postoperative Patients.
• The Influence of Nurse Staffing on the Length of Hospital Stay for Surgical Patients.
• Examining the Relationship Between Nurse-Patient Ratios and Delirium in Elderly Patients.
• The Impact of Shift Length and Overtime on Nurse Performance and Patient Safety.
• Assessing the Effectiveness of Nurse-Managed Early Warning Systems in Identifying Deteriorating Patients.
• Investigating the Link Between Nurse Workforce Diversity and Cultural Competence in Patient Care.
• Nurse-to-Patient Ratios and the Incidence of Healthcare-Associated Infections in Long-Term Care Facilities.
• The Role of Nursing Workforce Development Programs in Enhancing Patient-Centered Care.
• Exploring the Effect of Nurse Staffing Levels on Patient Satisfaction and Hospital Ratings.
• Nurse Burnout and Its Influence on Discharge Planning and Patient Education.

Telehealth and Remote Monitoring

• The Effectiveness of Telehealth in Improving Access to Mental Health Services in Rural Areas.
• Assessing the Impact of Remote Monitoring on Medication Adherence Among Chronic Disease Patients.
• Telehealth for Pediatric Care: Examining Parental Satisfaction and Child Outcomes.
• Investigating the Use of Telehealth in Post-Operative Care and Its Effect on Recovery Rates.
• Telehealth and Diabetes Management: A Comparative Analysis of Telemedicine vs. Traditional Care.
• The Role of Telehealth in Preventive Care: Evaluating its Effectiveness in Promoting Healthier Lifestyles.
• Telehealth for Stroke Rehabilitation: A Study on Functional Outcomes and Cost Savings.
• Telemedicine in Mental Health Crisis Intervention: Assessing Crisis Resolution and Patient Satisfaction.
• Exploring the Use of Wearable Devices and Remote Monitoring in Monitoring Elderly Patients’ Health.
• Telehealth and Chronic Pain Management: A Comparative Study of Virtual vs. In-Person Consultations.
• The Impact of Telehealth on Reducing Hospital Readmissions Among Heart Failure Patients.
• Telehealth and Maternal Care: Investigating its Role in Prenatal Monitoring and Postpartum Support.
• Telemedicine in Emergency Medical Services: Evaluating its Effectiveness in Triage and Decision-Making.
• Telehealth and Home-Based Palliative Care: A Study on Patient Comfort and Quality of Life.
• Remote Monitoring of COVID-19 Patients: Assessing its Role in Early Detection of Complications.
• Telehealth for Geriatric Care: Analyzing its Impact on Aging-in-Place and Independence.
• Investigating the Cost-Effectiveness of Telehealth Interventions in Managing Obesity and Weight Loss.
• Telemedicine in Speech Therapy for Children with Speech Disorders: Evaluating Speech Outcomes.
• Telehealth for Dermatology Consultations: A Comparative Analysis of Diagnostic Accuracy.
• The Use of Telehealth in Mental Health Crisis Intervention for Veterans: Assessing PTSD Symptom Reduction.

Mental Health Nursing

• The Efficacy of Telehealth Interventions in Providing Mental Health Support to Remote or Underserved Populations.
• Assessing the Impact of Peer Support Programs on the Recovery of Individuals with Severe Mental Illness.
• Exploring the Relationship Between Childhood Trauma and the Development of Mental Health Disorders in Adulthood.
• The Role of Mindfulness-Based Interventions in Reducing Anxiety and Depression Among College Students.
• Investigating the Effectiveness of Art Therapy in Improving Emotional Regulation in Adolescents with Behavioral Disorders.
• Assessing the Impact of Music Therapy on Agitation Levels in Dementia Patients in Long-Term Care Facilities.
• The Influence of Nurse-Administered Cognitive Behavioral Therapy on Depression Remission Rates.
• Exploring the Use of Digital Mental Health Apps in Improving Treatment Adherence Among Individuals with Bipolar Disorder.
• Investigating the Association Between Sleep Patterns and Mental Health Outcomes in Adolescents.
• The Effect of Family Involvement in Therapy on the Outcomes of Schizophrenia Patients.
• Evaluating the Role of Mental Health Nurses in Suicide Prevention and Postvention Strategies.
• Assessing the Effectiveness of School-Based Mental Health Programs in Reducing Bullying and Its Impact on Mental Health.
• Exploring the Use of Animal-Assisted Therapy in Reducing Anxiety and Depression in Psychiatric Patients.
• Investigating the Relationship Between Social Media Use and Mental Health in Young Adults.
• The Impact of Cultural Competence Training on Mental Health Care Delivery for Diverse Populations.
• Assessing the Effect of Physical Activity and Exercise Programs on the Mental Health of Individuals with Schizophrenia.
• Exploring the Role of Gender Identity and Sexual Orientation in Mental Health Disparities and Access to Care.
• Investigating the Influence of Stigma on Help-Seeking Behavior Among Individuals with Mental Health Disorders.
• The Effectiveness of Psychoeducation Programs in Reducing Relapse Rates in Individuals with Bipolar Disorder.
• Assessing the Impact of Trauma-Informed Care in Mental Health Settings on Patient Outcomes and Staff Well-being.

Pediatric Nursing

• The Impact of Parental Involvement in Pediatric Pain Management.
• The Effectiveness of Child Life Specialists in Reducing Pediatric Anxiety During Medical Procedures.
• Assessing the Role of Pediatric Nurse Practitioners in Early Childhood Development Screening.
• Investigating the Relationship Between Pediatric Obesity and Long-Term Health Outcomes.
• Exploring the Use of Play Therapy in Pediatric Pain Management.
• The Impact of Pediatric Palliative Care on Quality of Life for Seriously Ill Children and Their Families.
• The Role of School Nurses in Promoting Mental Health Awareness Among School-Aged Children.
• Investigating the Efficacy of Pediatric Vaccination Education Programs in Increasing Immunization Rates.
• The Effect of Parenting Styles on Pediatric Asthma Management and Control.
• Assessing the Impact of Pediatric Sickle Cell Disease Management Programs on Disease Outcomes.
• Exploring the Influence of Family-Centered Care on Pediatric Hospitalization Experiences.
• The Relationship Between Childhood Trauma and Mental Health Outcomes in Adolescents.
• Investigating the Effectiveness of Pediatric Telehealth Services for Rural and Underserved Populations.
• The Impact of Pediatric Nursing Interventions on Neonatal Abstinence Syndrome in Infants Born to Substance-Using Mothers.
• Assessing the Efficacy of Pediatric Nutrition Education Programs in Reducing Childhood Obesity Rates.
• Exploring the Use of Technology and Apps for Pediatric Diabetes Management.
• The Role of Pediatric Nurses in Early Detection and Intervention for Developmental Delays.
• Investigating the Relationship Between Childhood Vaccination Rates and School Immunization Policies.
• The Effect of Child Abuse Prevention Programs on Reducing Child Maltreatment Incidents.
• Assessing the Impact of Pediatric Pain Assessment Tools on Pain Management Practices in Pediatric Settings.

Gerontological Nursing

• The Impact of Comprehensive Geriatric Assessment on Hospital Readmission Rates in Elderly Patients with Multiple Comorbidities.
• Evaluating the Effectiveness of Fall Prevention Interventions in Nursing Homes for Older Adults with Dementia.
• The Role of Family Caregivers in Managing Chronic Illnesses and Maintaining Quality of Life for Elderly Patients.
• Investigating the Relationship Between Social Isolation and Cognitive Decline in the Aging Population.
• Assessing the Effectiveness of Palliative Care Services in Improving End-of-Life Quality for Elderly Patients.
• The Influence of Nutrition and Diet on Functional Independence in Older Adults.
• Examining the Impact of Gerontological Nursing Education on the Competence and Confidence of Nursing Students in Caring for Older Adults.
• Exploring the Role of Exercise and Physical Activity in Preventing Falls and Fractures in Elderly Individuals.
• The Effect of Medication Management Programs on Medication Adherence and Health Outcomes in Older Adults.
• Investigating the Prevalence and Risk Factors of Elder Abuse in Long-Term Care Facilities.
• Assessing the Impact of Cognitive Training Programs on Delaying the Onset of Alzheimer’s Disease in Older Adults.
• Exploring the Relationship Between Sleep Quality and Cognitive Function in the Aging Population.
• The Role of Gerontological Nurses in Promoting Advance Care Planning and End-of-Life Decision-Making in Older Adults.
• Evaluating the Effectiveness of Home-Based Telehealth Services in Managing Chronic Conditions for Elderly Patients Living Alone.
• Investigating the Influence of Multimorbidity on Healthcare Utilization and Quality of Life in Older Adults.
• The Impact of Music Therapy on Emotional Well-Being and Quality of Life in Nursing Home Residents with Dementia.
• Assessing the Effectiveness of Interventions to Reduce Polypharmacy in Older Adults.
• Exploring the Role of Gerontological Nurses in Addressing Loneliness and Social Isolation in Older Adults.
• The Relationship Between Oral Health and Overall Health in the Aging Population: Implications for Nursing Care.
• Investigating the Use of Robotics and Assistive Technologies in Promoting Independence and Quality of Life for Older Adults.

Women’s Health Nursing

• The Impact of Midwife-Led Care on Maternal and Neonatal Outcomes.
• Assessing the Effectiveness of Prenatal Education Programs in Reducing Maternal Anxiety and Stress.
• Investigating the Relationship Between Maternal Nutrition and Birth Weight in Low-Income Communities.
• The Role of Postpartum Support in Preventing Postpartum Depression.
• Exploring the Barriers to Accessing Reproductive Health Services Among Underserved Women.
• Evaluating the Effectiveness of Intimate Partner Violence Screening and Intervention in Obstetric Care.
• The Association Between Breastfeeding Duration and Postpartum Weight Loss in Mothers.
• Assessing the Impact of Menopause Education Programs on Women’s Quality of Life.
• Investigating the Role of Nurse Practitioners in Providing Comprehensive Menopausal Care.
• The Effect of Body Image and Self-Esteem on Women’s Health Behaviors.
• Exploring Factors Influencing Women’s Decision-Making Regarding Contraceptive Methods.
• Evaluating the Efficacy of Sex Education Programs in Preventing Teenage Pregnancy.
• The Relationship Between Fertility Awareness-Based Methods and Contraceptive Efficacy.
• Assessing the Effect of Pelvic Floor Muscle Training in Managing Urinary Incontinence in Women.
• Investigating the Impact of Hormone Replacement Therapy on Cardiovascular Health in Postmenopausal Women.
• The Role of Preconception Health Promotion in Reducing Adverse Pregnancy Outcomes.
• Exploring the Use of Telehealth for Gynecological Consultations and Follow-Up.
• The Association Between Body Mass Index (BMI) and Infertility in Women.
• Assessing the Effectiveness of Nurse-Led Support Groups for Women with Polycystic Ovary Syndrome (PCOS).
• Investigating the Influence of Cultural and Socioeconomic Factors on Maternal Health Disparities in Minority Populations.

Community Health Nursing

• The Impact of Community Health Education Programs on Smoking Cessation Rates in High-Risk Populations.
• Evaluating the Effectiveness of School-Based Nutrition Interventions in Reducing Childhood Obesity.
• Assessing the Role of Community Health Nurses in Promoting Vaccination Compliance and Preventing Infectious Disease Outbreaks.
• Investigating the Relationship Between Access to Green Spaces and Mental Health in Urban Communities.
• The Effect of Community-Based Diabetes Management Programs on Glycemic Control and Health Outcomes.
• Exploring the Challenges and Strategies in Providing Culturally Competent Care in Diverse Community Settings.
• The Influence of Social Determinants of Health on Health Disparities in Underserved Communities.
• Assessing the Impact of Mobile Health (mHealth) Apps in Promoting Healthy Lifestyles in Rural Areas.
• Investigating the Role of Community Health Nurses in Disaster Preparedness and Response.
• The Effectiveness of Community Health Worker (CHW) Programs in Reducing Healthcare Costs and Hospital Readmissions.
• Exploring the Relationship Between Community Health Nursing Interventions and Reductions in Substance Abuse Rates.
• Evaluating the Impact of Maternal and Child Health Programs on Infant Mortality Rates in Low-Income Communities.
• Assessing the Effectiveness of Community-Based Mental Health Support Services in Preventing Hospitalizations.
• Investigating the Influence of Community Health Promotion Campaigns on Immunization Rates.
• The Role of Community Health Nurses in Addressing the Opioid Epidemic Through Harm Reduction Strategies.
• Exploring the Impact of Community Health Initiatives on Improving Access to Healthcare Services in Rural Areas.
• Assessing the Effect of Home Visiting Programs on Maternal and Child Health Outcomes.
• Investigating the Relationship Between Food Insecurity and Chronic Disease Management in Urban Communities.
• The Effectiveness of Telehealth Services in Providing Mental Health Support to Underserved Populations.
• Exploring the Implementation of Community-Based Palliative Care Programs and Their Impact on Quality of Life for Terminally Ill Patients.

Nursing Education and Training

• The Impact of Simulation-Based Training on Nursing Student Competency.
• Evaluating the Effectiveness of Blended Learning Models in Nursing Education.
• Assessing the Integration of Cultural Competence Training in Nursing Curricula.
• Investigating the Role of Interprofessional Education in Preparing Nursing Students for Collaborative Practice.
• The Influence of Emotional Intelligence Training on Nursing Students’ Interpersonal Skills.
• Exploring the Use of Virtual Reality (VR) and Augmented Reality (AR) in Nursing Education.
• The Effect of Peer Mentoring Programs on Retention and Success Rates of Nursing Students.
• Analyzing the Efficacy of Team-Based Learning in Nursing Curriculum.
• Investigating the Impact of Preceptorship Programs on Transition to Practice for New Graduates.
• Assessing the Role of Reflective Practice in Developing Clinical Decision-Making Skills in Nursing Students.
• The Influence of Evidence-Based Practice (EBP) Training on Nursing Student’s EBP Implementation.
• Exploring the Integration of Mindfulness and Resilience Training in Nursing Education.
• Investigating the Use of Social Media and Technology in Enhancing Nursing Education.
• Assessing the Role of Nursing Simulation Centers in Improving Clinical Competence.
• The Effect of Cultural Immersion Experiences on Cultural Competency Development in Nursing Students.
• Analyzing the Impact of High-Fidelity Patient Simulators on Critical Thinking Skills in Nursing Education.
• Investigating the Use of Competency-Based Education in Nursing Programs.
• Assessing the Role of Clinical Reasoning Development in Nursing Education.
• The Influence of Team-Based Care Training on Nursing Students’ Understanding of Collaborative Healthcare Models.
• Exploring Strategies to Enhance Clinical Placement Experiences for Nursing Students.

Healthcare Quality and Patient Safety

• The Impact of Electronic Health Records (EHRs) on Patient Safety and Data Accuracy.
• Strategies to Reduce Medication Errors in Hospital Settings.
• The Role of Nurse Staffing Levels in Preventing Adverse Patient Outcomes.
• Assessing the Effectiveness of Rapid Response Teams in Hospitals.
• Investigating the Relationship Between Hospital Accreditation and Patient Safety.
• The Use of Human Factors Engineering to Enhance Healthcare Quality and Patient Safety.
• Evaluating the Implementation of Surgical Safety Checklists and Their Impact on Surgical Complications.
• Analyzing the Link Between Hand Hygiene Compliance and Hospital-Acquired Infections.
• The Role of Patient and Family Engagement in Promoting Healthcare Quality and Safety.
• Investigating the Effect of Healthcare Provider Burnout on Patient Safety.
• Assessing the Impact of Telemedicine on Patient Safety and Care Quality.
• Strategies for Reducing Diagnostic Errors in Healthcare.
• The Role of Artificial Intelligence (AI) and Machine Learning in Predicting and Preventing Patient Safety Incidents.
• Examining the Influence of Organizational Culture on Patient Safety Practices.
• The Effectiveness of Team-Based Training in Enhancing Communication and Reducing Errors in Healthcare.
• Investigating the Relationship Between Nurse Leadership Styles and Patient Safety Culture.
• Assessing the Impact of Patient Safety Initiatives on Healthcare Costs.
• Strategies for Improving Patient Handoff Communication to Enhance Continuity of Care.
• Analyzing the Effect of Healthcare Policy Changes on Patient Safety Outcomes.
• The Role of Interdisciplinary Collaboration in Enhancing Healthcare Quality and Patient Safety.

Cultural Competence in Nursing

• The Impact of Cultural Competence Training on Nurses’ Knowledge, Attitudes, and Practices in Diverse Healthcare Settings.
• Exploring the Role of Cultural Competence in Reducing Health Disparities Among Minority Populations.
• Assessing the Influence of Cultural Competence on Patient-Centered Care and Patient Satisfaction.
• The Relationship Between Language Proficiency and Effective Communication in Cross-Cultural Nursing Care.
• Investigating the Effect of Cultural Competence on Nursing Student Preparedness for Providing Culturally Sensitive Care.
• The Influence of Cultural Competence on Nurse-Patient Trust and Rapport Building in Multicultural Healthcare Settings.
• Evaluating the Impact of Cultural Competence Education on Nursing Curricula and Program Outcomes.
• Exploring the Challenges and Barriers Faced by Nurses in Providing Culturally Competent Care.
• The Effect of Cultural Competence on Medication Adherence and Health Outcomes Among Diverse Patient Groups.
• Assessing the Cultural Competence of Healthcare Organizations and Its Relationship to Quality of Care.
• Investigating the Influence of Cultural Competence on Ethical Decision-Making in Nursing Practice.
• The Role of Cultural Competence in Reducing Healthcare Misdiagnoses and Medical Errors.
• Exploring the Effectiveness of Cultural Competence Models and Frameworks in Nursing Education.
• Assessing the Cultural Competence of Nursing Leadership and Its Impact on Staff Morale and Retention.
• Investigating the Influence of Cultural Competence on End-of-Life Care Preferences and Decision-Making in Diverse Populations.
• The Relationship Between Cultural Competence and the Delivery of Culturally Tailored Health Promotion Programs.
• Evaluating the Role of Cultural Competence in Shaping Nursing Practice Guidelines and Protocols.
• Exploring the Impact of Cultural Competence on the Management of Chronic Diseases in Culturally Diverse Patient Populations.
• Assessing the Effectiveness of Culturally Competent Care in Reducing Hospital Readmission Rates.
• Investigating the Link Between Cultural Competence and Health Equity Initiatives in Healthcare Systems.

Tips for Conducting Quantitative Nursing Research

Now that you have a glimpse of potential research topics, it’s essential to understand the key steps involved in conducting quantitative nursing research:

• Research Design and Methodology: Choose the most appropriate research design (e.g., cross-sectional, longitudinal, experimental) and methodology (e.g., surveys, experiments) for your research question.
• Data Collection Methods: Determine how you’ll collect data. Will it involve surveys, observations, or analysis of existing datasets? Ensure your data collection methods align with your research design.
• Data Analysis Techniques: Familiarize yourself with statistical analysis tools and techniques (e.g., regression analysis , t-tests) to analyze your data accurately.
• Data Management: Develop a robust data management plan to organize, store, and protect your research data. Adherence to ethical data handling is crucial.
• Ethical Considerations: Always prioritize ethical principles in your research. Obtain informed consent from participants, maintain confidentiality, and seek ethical approval if required.

Resources for Nursing Students

To support your journey in quantitative research topics for nursing students, here are some recommended resources:

• “Nursing Research: Generating and Assessing Evidence” by Denise F. Polit and Cheryl Tatano Beck.
• “Quantitative Research in Nursing and Healthcare” by Immy Holloway and Stephanie Wheeler.
• “Journal of Nursing Scholarship”
• “Research in Nursing & Health”

Online Resources

• The National Institute of Nursing Research (NINR) offers valuable research resources and funding opportunities.
• Online courses and webinars on research methods and statistical analysis (e.g., Coursera, edX).

Quantitative research is an indispensable tool for nursing students looking to make a meaningful impact in their field. By choosing the right quantitative research topics for nursing students and following ethical research practices, nursing students can contribute to the body of nursing knowledge, improve patient care, and advance their careers. 

So, don’t hesitate to embark on your quantitative research journey, and let your curiosity and passion drive you toward excellence in nursing practice.

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• Forming Questions

Nursing: Forming Questions

• Getting Started
• Background Info
• 6S/Foreground Info
• Further Research
• Clinical Practice
• Nursing Theory

A Good Question...

• Focuses your information needs
• Identifies key seach concepts
• Points you in the direction of potential resources

Background Questions

These questions are general in nature and provide foundational information on a single concept.  Background questions cover:

• Terminology
• General Pathology
• Patient Education Resources
• General Drug Information
• Examination/Assessment Procedures

What is the pathology of asthma ?

What drugs are used to treat hypertension ?

How do I perform a psychological assessment ?

What education resources exist for patients with gestational diabetes ?

How is hepatitis b diagnosed?

What does a normal heartbeat sound like?

These questions are best answered using the resources found in the Background Info page of this guide.

Foreground Questions

These questions bring together multiple concepts related to a specific clinical situation or research topic.  They may be divided into two  broad categories:

• Qualitative Questions  aim to discover meaning or gain an understanding of a phenomena or experience.  They ask about an individual's or population's experience of certain situations or circumstances
• Quantitative Questions  aim to discover cause and effect relationships, often through comparison. Comparison may occur between two or more individuals or groups based on outcomes associated with differences in exposures or interventions. Comparison may also be made to 'no intervention', standard care or standard practice, 'no exposure'.

These questions are best answered using the resources found in the 6S/Foreground Info page of this guide.

Forming Foreground Questions

Building an effective foreground question can be challenging.  The following models will help:

Qualitative Questions: The PS Model

P - Patient/Population

S - Situation

How do/does ___ [P] ____ experience _____ [S] _____?

What is the experience of ____ [P] ___ [S] ____?

Ex. How do  caregiver- spouses of Alzheimer patients  experience  placing their spouse in a nursing home ?

___________________________________________________________________________

Quantitative Questions: The PICO(T) Model

A quantitative approach can answer many different types of questions, but all can be formatted by following the  PICO(T) Model  outlined below:     

PICO(T) Templates

In ___ [ P ]___,  do/does ___[ I ]___ result in ___[ O ]____ when compared with ___[ C ]___ over ___[ T ]____?

E.g.) In nursing home residents with osteoporosis , do hip protectors result in fewer injuries from slips, trips, and falls when compared with standard osteoporosis drug therapy over the course of their stay ?

Are ___[ P ]___  with  ___[ I ]___  over ____[ T ]____ more likely to ___[ O ]____ when compared with ___[ C ]___ ?

E.g.) Are   female non-smokers   with  daily exposure to second-hand smoke  over  a period of ten years or greater  more likely to  develop breast cancer  when compared with  female non-smokers without daily exposure to second-hand smoke ?

Is/are ___[ I ]___ performed on ___[ P ]___   more effective than ___[ C ]___  over ___[ T ]____in ___[ O ]____?

E.g.) Are   self-reporting interviews and parent reports  performed on   children aged 5-10   more effective than  parent reports alone  over a  four-week consultation process  in  diagnosing depression ?

In ___[ P ]___,  do/does ___[ I ]___ result in ___[ O ]____ when compared with ___[ C ]___ over ___[ T ]____?

E.g.) In  emergency room visitors , do   hand sanitizing stations  result in   fewer in-hospital infections  when compared  with no hand sanitizing stations  over  a year-long pilot period ?

Do/does ___[ I ]___ performed on ___[ P ]___   lead to  ___[ O ]___  over ___[ T ]____compared with ___[ C ]____?

E.g.) Do  regular text message reminders  performed on  patients recently diagnosed with diabetes  lead to  a lower occurrence of forgotten insulin doses  over  the first six months of treatment  compared with  no reminders ?

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Henry Ford Hospital Nursing Research Toolkit

• Step 1: Getting Started
• Step 2: Project Assistance
• Step 3: Research Question
• Step 4: Review Literature
• Step 5: Use Theory
• Step 6: Apply with IRB
• Quantitative Research Steps
• Additional Reading
• About This Guide

Quantitative Method - Identifying and Refining the Research Question

• Identify the problem and decide on a research question
• Initiate a literature search and review the literature
• Identify a theoretical framework to guide the study
• Formulate a hypothesis (a predicted statement of researcher's expectations or predictions about relationships among variables). Non-intervention studies don't have a hypothesis  because introducing a testable intervention/treatment is not part of the research)

Design and Planning

• Where will data be collected?
• How often will data be collected?
• What outcomes will be measured?
• What strategies will be used to minimize bias?
• Decide exactly what the treatment or intervention will involve
• Who will administer it?
• How frequently?
• Over what time frame?
• Identify what the alternative (control group) condition is
• Identify the population to be studied
• Design the sampling plan. The sample is a representative subset of the population: how will the sample be selected, recruited, and how many participants will there be?
• Specify methods to measure research variables: Will data be collected using self-reports, observations or biophysiological measures?
• It's always, always better to use a data collection instrument that's reliable and valid instead of creating your own instrument. Valid, reliable tools are precise instruments that have been tested for reliability (results are consistent) and validity (concept is accurately measured).
• Safeguarding subjects: protecting the rights of participants begins with submitting an Internal Review Board (IRB) application to ensure that human rights are protected.
• Finalizing the research plan. Ask other researchers to review the study protocol. It's also helpful to pretest measuring instruments with a small pilot group to identify problems that may occur. 

Data Collection / Preparing for Analysis

• Who will collect the data?
• When and where will data be collected?
• How will the study be described to participants?
• How will the information be recorded? 
• Preparing the data for analysis: who will code/prepare and enter data for analysis?
• Analyzing the data

Consult with a statistician: If you have decided on a research question and are planning a research study, the next step is to meet with a Biostatistician.  A Biostatistician can assist with turning your research question into a statistical question that is focused on outcomes that can be tested and measured. They will also determine the appropriate sample size for your study. Check with your unit manager to make sure the Biostats meeting can be billed to your unit cost center. 

Henry Ford Health Public Health Sciences (PHS) can assist with this step. 

Interpretation of Results

• Cathy Draus:  [email protected]  at the Center for Nursing Research and Evidence-Based Practice (H101 Main campus) can assist with interpretation of statistical results. 

Dissemination

• Prepare manuscript for journal submission or apply to present a poster or podium presentation at a conference
• https://ebn.bmj.com/content/5/2/38
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• Plan for the use of the evidence in the practice setting and make recommendations in your article or presentation as to how the evidence can be translated into practice. It's also important to indicate the implications your study has for nursing practice
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Before You Start Searching

Clinical and epidemiological question frameworks.

• Basic Literature Searching
• Advanced Literature Searching
• Searching for Evidence with ABCDE
• Citation Management
• Citing Sources: APA and Other Styles

Step One: Start to formulate a research question or topic.

Aiming for clarity at the beginning of the project can help you get started right. It can be helpful to use one of the question frameworks detailed below.

Step Two: Do some background searching on the topic.

Taking a look in relevant resources to see what's already been written about your topic will help you understand how you can best contribute to the body of literature. It will also help you grasp the terminology around the topic, so that you'll be more prepared to do an effective literature search.

Step Three: Narrow down the question or topic if needed.

You may find that your original topic is too broad. After you have taken the time to evaluate what's already been written about your topic, you'll have a better understanding of what you're interested in.

Step Four: Meet with your librarian.

Step five: create a search for your topic in an appropriate database..

Try one of these tried and true clinical or quantitative research question frameworks. Not sure where to start? PICO is the most common clinical question framework. and PEO works well for public health and epidemiology.

• Condition, Context, Population
• Aromataris, E., & Munn, Z. (2017). Joanna Briggs Institute reviewer's manual. The Joanna Briggs Institute. Available from JBI Manual for Evidence Synthesis .
• Population, Exposure of Interest, Outcome or Response
• Population or Problem, Intervention or Exposure, Comparison or Control, Outcome
• Heneghan, C., & Badenoch, D. (2002). Evidence-based medicine toolkit. London: BMJ Books. https://www.worldcat.org/title/evidence-based-medicine-toolkit/oclc/62307845
• Population or Problem, Intervention or Exposure, Comparison or Control, Outcome, Study Type
• Methley, A. M., Campbell, S., Chew-Graham, C., McNally, R., & Cheraghi-Sohi, S. (2014). PICO, PICOS and SPIDER: a comparison study of specificity and sensitivity in three search tools for qualitative systematic reviews. BMC health services research, 14, 579. https://doi.org/10.1186/s12913-014-0579-0 .
• Population or Problem, Intervention or Exposure, Comparison or Control, Outcome, Time
• Richardson, W. S., Wilson, M. C., Nishikawa, J., & Hayward, R. S. (1995). The well-built clinical question: A key to evidence-based decisions. ACP Journal Club, 123(3), A12-A12. https://pubmed.ncbi.nlm.nih.gov/7582737/
• Population, Index Test, Reference Test, Diagnosis of Interest
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Nursing Research (NURS 3321/4325/5366)

• Introduction
• Understand What Quantitative Research Is
• Understand What Qualitative Research Is
• Sage Methods Map
• Step 1: Accessing CINAHL
• Step 2: Create a Keyword Search
• Step 3: Create a Subject Heading Search
• Step 4: Repeat Steps 1-3 for Second Concept
• Step 5: Repeat Steps 1-3 for Quantitative Terms
• Step 6: Combining All Searches
• Step 7: Adding Limiters
• Step 8: Save Your Search!
• What Kind of Article is This?
• PICO Keyword Search Strategy
• PICO Keyword Search
• PICO Subject Heading Search
• Combining Keyword and Subject Heading Searches
• Adding Filters/Limiters
• Finding Health Statistics
• Find Clinical Guidelines This link opens in a new window
• APA Format & Citations This link opens in a new window

What is Quantitative Research?

Quantitative methodology is the dominant research framework in the social sciences. it refers to a set of strategies, techniques and assumptions used to study psychological, social and economic processes through the exploration of numeric patterns . quantitative research gathers a range of numeric data. some of the numeric data is intrinsically quantitative (e.g. personal income), while in other cases the numeric structure is  imposed (e.g. ‘on a scale from 1 to 10, how depressed did you feel last week’). the collection of quantitative information allows researchers to conduct simple to extremely sophisticated statistical analyses that aggregate the data (e.g. averages, percentages), show relationships among the data (e.g. ‘students with lower grade point averages tend to score lower on a depression scale’) or compare across aggregated data (e.g. the usa has a higher gross domestic product than spain). quantitative research includes methodologies such as questionnaires, structured observations or experiments and stands in contrast to qualitative research. qualitative research involves the collection and analysis of narratives and/or open-ended observations through methodologies such as interviews, focus groups or ethnographies..

Coghlan, D., Brydon-Miller, M. (2014).  The SAGE encyclopedia of action research  (Vols. 1-2). London, : SAGE Publications Ltd doi: 10.4135/9781446294406

What is the purpose of quantitative research?

The purpose of quantitative research is to generate knowledge and create understanding about the social world. Quantitative research is used by social scientists, including communication researchers, to observe phenomena or occurrences affecting individuals. Social scientists are concerned with the study of people. Quantitative research is a way to learn about a particular group of people, known as a sample population. Using scientific inquiry, quantitative research relies on data that are observed or measured to examine questions about the sample population.

Allen, M. (2017).  The SAGE encyclopedia of communication research methods  (Vols. 1-4). Thousand Oaks, CA: SAGE Publications, Inc doi: 10.4135/9781483381411

How do I know if the study is a quantitative design?  What type of quantitative study is it?

Quantitative Research Designs: Descriptive non-experimental, Quasi-experimental or Experimental?

Studies do not always explicitly state what kind of research design is being used.  You will need to know how to decipher which design type is used.  The following video will help you determine the quantitative design type.

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• Correction: How to appraise quantitative research - April 01, 2019

• Xabi Cathala 1 ,
• Calvin Moorley 2
• 1 Institute of Vocational Learning , School of Health and Social Care, London South Bank University , London , UK
• 2 Nursing Research and Diversity in Care , School of Health and Social Care, London South Bank University , London , UK
• Correspondence to Mr Xabi Cathala, Institute of Vocational Learning, School of Health and Social Care, London South Bank University London UK ; cathalax{at}lsbu.ac.uk and Dr Calvin Moorley, Nursing Research and Diversity in Care, School of Health and Social Care, London South Bank University, London SE1 0AA, UK; Moorleyc{at}lsbu.ac.uk

https://doi.org/10.1136/eb-2018-102996

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Introduction

Some nurses feel that they lack the necessary skills to read a research paper and to then decide if they should implement the findings into their practice. This is particularly the case when considering the results of quantitative research, which often contains the results of statistical testing. However, nurses have a professional responsibility to critique research to improve their practice, care and patient safety. 1  This article provides a step by step guide on how to critically appraise a quantitative paper.

Title, keywords and the authors

The authors’ names may not mean much, but knowing the following will be helpful:

Their position, for example, academic, researcher or healthcare practitioner.

Their qualification, both professional, for example, a nurse or physiotherapist and academic (eg, degree, masters, doctorate).

This can indicate how the research has been conducted and the authors’ competence on the subject. Basically, do you want to read a paper on quantum physics written by a plumber?

The abstract is a resume of the article and should contain:

Introduction.

Research question/hypothesis.

Methods including sample design, tests used and the statistical analysis (of course! Remember we love numbers).

Main findings.

Conclusion.

The subheadings in the abstract will vary depending on the journal. An abstract should not usually be more than 300 words but this varies depending on specific journal requirements. If the above information is contained in the abstract, it can give you an idea about whether the study is relevant to your area of practice. However, before deciding if the results of a research paper are relevant to your practice, it is important to review the overall quality of the article. This can only be done by reading and critically appraising the entire article.

The introduction

Example: the effect of paracetamol on levels of pain.

My hypothesis is that A has an effect on B, for example, paracetamol has an effect on levels of pain.

My null hypothesis is that A has no effect on B, for example, paracetamol has no effect on pain.

My study will test the null hypothesis and if the null hypothesis is validated then the hypothesis is false (A has no effect on B). This means paracetamol has no effect on the level of pain. If the null hypothesis is rejected then the hypothesis is true (A has an effect on B). This means that paracetamol has an effect on the level of pain.

Background/literature review

The literature review should include reference to recent and relevant research in the area. It should summarise what is already known about the topic and why the research study is needed and state what the study will contribute to new knowledge. 5 The literature review should be up to date, usually 5–8 years, but it will depend on the topic and sometimes it is acceptable to include older (seminal) studies.

Methodology

In quantitative studies, the data analysis varies between studies depending on the type of design used. For example, descriptive, correlative or experimental studies all vary. A descriptive study will describe the pattern of a topic related to one or more variable. 6 A correlational study examines the link (correlation) between two variables 7  and focuses on how a variable will react to a change of another variable. In experimental studies, the researchers manipulate variables looking at outcomes 8  and the sample is commonly assigned into different groups (known as randomisation) to determine the effect (causal) of a condition (independent variable) on a certain outcome. This is a common method used in clinical trials.

There should be sufficient detail provided in the methods section for you to replicate the study (should you want to). To enable you to do this, the following sections are normally included:

Overview and rationale for the methodology.

Participants or sample.

Data collection tools.

Methods of data analysis.

Ethical issues.

Data collection should be clearly explained and the article should discuss how this process was undertaken. Data collection should be systematic, objective, precise, repeatable, valid and reliable. Any tool (eg, a questionnaire) used for data collection should have been piloted (or pretested and/or adjusted) to ensure the quality, validity and reliability of the tool. 9 The participants (the sample) and any randomisation technique used should be identified. The sample size is central in quantitative research, as the findings should be able to be generalised for the wider population. 10 The data analysis can be done manually or more complex analyses performed using computer software sometimes with advice of a statistician. From this analysis, results like mode, mean, median, p value, CI and so on are always presented in a numerical format.

The author(s) should present the results clearly. These may be presented in graphs, charts or tables alongside some text. You should perform your own critique of the data analysis process; just because a paper has been published, it does not mean it is perfect. Your findings may be different from the author’s. Through critical analysis the reader may find an error in the study process that authors have not seen or highlighted. These errors can change the study result or change a study you thought was strong to weak. To help you critique a quantitative research paper, some guidance on understanding statistical terminology is provided in  table 1 .

• View inline

Some basic guidance for understanding statistics

Quantitative studies examine the relationship between variables, and the p value illustrates this objectively.  11  If the p value is less than 0.05, the null hypothesis is rejected and the hypothesis is accepted and the study will say there is a significant difference. If the p value is more than 0.05, the null hypothesis is accepted then the hypothesis is rejected. The study will say there is no significant difference. As a general rule, a p value of less than 0.05 means, the hypothesis is accepted and if it is more than 0.05 the hypothesis is rejected.

The CI is a number between 0 and 1 or is written as a per cent, demonstrating the level of confidence the reader can have in the result. 12  The CI is calculated by subtracting the p value to 1 (1–p). If there is a p value of 0.05, the CI will be 1–0.05=0.95=95%. A CI over 95% means, we can be confident the result is statistically significant. A CI below 95% means, the result is not statistically significant. The p values and CI highlight the confidence and robustness of a result.

Discussion, recommendations and conclusion

The final section of the paper is where the authors discuss their results and link them to other literature in the area (some of which may have been included in the literature review at the start of the paper). This reminds the reader of what is already known, what the study has found and what new information it adds. The discussion should demonstrate how the authors interpreted their results and how they contribute to new knowledge in the area. Implications for practice and future research should also be highlighted in this section of the paper.

A few other areas you may find helpful are:

Limitations of the study.

Conflicts of interest.

Table 2 provides a useful tool to help you apply the learning in this paper to the critiquing of quantitative research papers.

Quantitative paper appraisal checklist

• 1. ↵ Nursing and Midwifery Council , 2015 . The code: standard of conduct, performance and ethics for nurses and midwives https://www.nmc.org.uk/globalassets/sitedocuments/nmc-publications/nmc-code.pdf ( accessed 21.8.18 ).
• Gerrish K ,
• Moorley C ,
• Tunariu A , et al
• Shorten A ,

Competing interests None declared.

Patient consent Not required.

Provenance and peer review Commissioned; internally peer reviewed.

Correction notice This article has been updated since its original publication to update p values from 0.5 to 0.05 throughout.

Linked Articles

• Miscellaneous Correction: How to appraise quantitative research BMJ Publishing Group Ltd and RCN Publishing Company Ltd Evidence-Based Nursing 2019; 22 62-62 Published Online First: 31 Jan 2019. doi: 10.1136/eb-2018-102996corr1

Read the full text or download the PDF:

Forming Research Questions

• 1. Identify a topic
• 2. Conduct background research
• 3. Narrow topic into a question
• Types of Clinical Questions
• 5Ws for any question
• PICOT for quantitative
• PICo for qualitative
• PS for qualitative
• Other Research Question Frameworks

PICOT for Quantitative Questions

PICO(T)  can be used for asking health related research questions that are clear, focused and searchable. It is often used form a clinical research question. Frameworks like PICO(T) help identify the main concepts of a question.

• P - Patient, population or problem
• I   - Aspect of health care that is of interest in investigating. Can also be E xposure or prognostic factor
• C  - What you are comparing the Intervention to. Elements of comparison or Control (no action).
• O  - What you expect to see by using the intervention (There can be multiple outcomes to one question).
• T  - Time frame focuses on the period of time over which the question occurs  

Clinical Scenario

You are a nurse working in a hospital. You often work with patients undergoing major surgery. You notice that your patients experience a lot of anxiety before surgery. You have tried strategies to help ease your patient's anxiety. You recently read a study about how music can help alleviate anxiety. You wonder if this strategy might also help your pre-surgical patients. 

PICOT 

• P  – preoperative patient
• I  – music
• C  – (no C)
• O  – reduction in anxiety
• T  - (no T)

PICOT Question:  For preoperative patients (P) , does listening to  music (I)  have an effect on reported  anxiety (O) ? 

Additions to PICO frameworks

• P E CO - where E stands for Exposure or Event
• PICO T - where T stands from Time
• PICOS- where S stands for Study design

Stillwell et al., Asking the clinical question: A key step in EBP.  2010; Cullum et al., 2008.

Walker, J. C., & McNaughton, A. (2018). Does listening to music preoperatively reduce anxiety? An evidence-based practice process for novice researchers.  British Journal of Nursing ,  27 (21), 1250–1254.  https://doi-org.ezproxy.lib.ucalgary.ca/10.12968/bjon.2018.27.21.1250

• PICOT Templates and Examples

PICOT Activity

Instructions - Identify the PICOT Concepts for each question. Check your answers using "PICOT Activity Answers."

• In emergency room visitors, do hand sanitizing stations result in fewer in-hospital infections when compared with no hand sanitizing stations?
• “In adult females over 60 with osteoporosis, how do Vitamin D supplements compare with natural sunlight in affect on calcium absorption?”  
• “In adults ages 65 and older, how does the use of an influenza vaccine compared to not receiving the vaccine influence their risk of developing pneumonia during the flu season?” (Stillwell et al., 2010).
• In school-age children what is the effect of a school-based physical activity program on a reduction in the incidence of childhood obesity compared with no intervention?
• What are the experiences of obese women with regards to stigma in healthcare?
• PICOT Activity Answers

PICOT Resources

• How to write a PICOT question (5 minutes )  
• How to use the PICO method (3 minutes)  
• Using PICO to structure your literature review (3 minutes)  
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• Last Updated: Jun 19, 2022 10:42 AM
• URL: https://lc.ucalgary.edu.qa/researchquestions

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Examples of Research Questions

Phd in nursing science program, examples of broad clinical research questions include:.

• Does the administration of pain medication at time of surgical incision reduce the need for pain medication twenty-four hours after surgery?
• What maternal factors are associated with obesity in toddlers?
• What elements of a peer support intervention prevent suicide in high school females?
• What is the most accurate and comprehensive way to determine men’s experience of physical assault?
• Is yoga as effective as traditional physical therapy in reducing lymphedema in patients who have had head and neck cancer treatment?
• In the third stage of labor, what is the effect of cord cutting within the first three minutes on placenta separation?
• Do teenagers with Type 1 diabetes who receive phone tweet reminders maintain lower blood sugars than those who do not?
• Do the elderly diagnosed with dementia experience pain?
•  How can siblings’ risk of depression be predicted after the death of a child?
•  How can cachexia be prevented in cancer patients receiving aggressive protocols involving radiation and chemotherapy?

Examples of some general health services research questions are:

• Does the organization of renal transplant nurse coordinators’ responsibilities influence live donor rates?
• What activities of nurse managers are associated with nurse turnover?  30 day readmission rates?
• What effect does the Nurse Faculty Loan program have on the nurse researcher workforce?  What effect would a 20% decrease in funds have?
• How do psychiatric hospital unit designs influence the incidence of patients’ aggression?
• What are Native American patient preferences regarding the timing, location and costs for weight management counseling and how will meeting these preferences influence participation?
•  What predicts registered nurse retention in the US Army?
• How, if at all, are the timing and location of suicide prevention appointments linked to veterans‘ suicide rates?
• What predicts the sustainability of quality improvement programs in operating rooms?
• Do integrated computerized nursing records across points of care improve patient outcomes?
• How many nurse practitioners will the US need in 2020?

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Evidence Based Nursing Practice

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PICO Templates

For an intervention/therapy:

In _______(P), what is the effect of _______(I) on ______(O) compared with _______(C) within ________ (T)?

For etiology:

Are ____ (P) who have _______ (I) at ___ (increased/decreased) risk for/of_______ (O) compared with ______ (P) with/without ______ (C) over _____ (T)?

Diagnosis or diagnostic test:

Are (is) _________ (I) more accurate in diagnosing ________ (P) compared with ______ (C) for _______ (O)?

Prevention:

For ________ (P) does the use of ______ (I) reduce the future risk of ________ (O) compared with _________ (C)?

Prognosis/Predictions

Does __________ (I) influence ________ (O) in patients who have _______ (P) over ______ (T)?

How do ________ (P) diagnosed with _______ (I) perceive ______ (O) during _____ (T)?

Based on Melnyk B., & Fineout-Overholt E. (2010). Evidence-based practice in nursing & healthcare. New York: Lippincott Williams & Wilkins .

Using PICO to Formulate Clinical Questions

PICO  (alternately known as PICOT ) is a mnemonic used to describe the four elements of a good clinical question. It stands for:

P --Patient/Problem I --Intervention C --Comparison O --Outcome

Many people find that it helps them clarify their question, which in turn makes it easier to find an answer. 

Use PICO to generate terms - these you'll use in your literature search for the current best evidence.   Once you have your PICO terms, you can then use them to re-write your question.  (Note, you can do this in reverse order if that works for you.)

Often we start with a vague question such as, "How effective is CPR, really?"  But, what do we mean by CPR?  And how do we define effective?  PICO is a technique to help us - or force us - to answer these questions.   Note that you may not end up with a description for each element of PICO. 

P -  our question above doesn't address a specific problem other than the assumption of a person who is not breathing. So, ask yourself questions such as, am I interested in a specific age cohort? (Adults, children, aged); a specific population (hospitalized, community dwelling); health cohort (healthy, diabetic, etc.)   

I - our question above doesn't have a stated intervention, but we might have one in mind such as 'hands-only'

C - Is there another method of CPR that we want to compare the hands-only to?  Many research studies do not go head to head with a comparison.  In this example we might want to compare to the standard, hands plus breathing

O - Again, we need to ask, what do we mean by 'effective'?  Mortality is one option with the benefit that it's easily measured. 

Our PICO statement would look like:

From our PICO, we can write up a clearer and more specific question, such as:

 In community dwelling adults, how effective is hands-only CPR versus hands plus breathing CPR at preventing mortality?

More information on formulating PICO questions

Now that we've clarified what we want to know, it will be much easier to find an answer.

Breaking Down Your PICO into a Search Strategy

We can use our PICO statement to list terms to search on.  Under each letter, we'll list all the possible terms we might use in our search. 

P - Community Dwelling:  It is much easier to search on 'hospitalized' than non-hospitalized subjects.  So I would leave these terms for last. It might turn out that I don't need to use them as my other terms from the I, C, or O of PICO might be enough.

community dwelling  OR out-of-hospital

P - adults: I would use the limits in MEDLINE or CINAHL for All Adults.  Could also consider the following depending upon the population you need:

adult OR adults OR aged OR elderly OR young adult

CPR  -  cardiopulmonary resuscitation

I - Hands-only

 hands-only OR compression-only OR chest compression OR compression OR Heart Massage

C - Hands plus breathing Breathing is a tougher term to match.

breathing OR mouth to mouth OR conventional OR traditional

O - Mortality:  If your outcomes terms are general, they may not as useful in the literature search.  They will still be useful in your evaluation of the studies.

mortality OR death OR Survival

Putting it together - a search statement from the above might look like this:

cardiopulmonary resuscitation AND (hands-only OR compression-only OR chest compression OR compression OR Heart Massage) AND (breathing OR mouth to mouth OR conventional OR traditional)

Note that the above strategy is only using terms from the I and the C of PICO.  Depending upon the results, you may need to narrow your search by adding in terms from the P or the O.  

An easy way to keep track of your search strategy is to use a table. This keeps the different parts of your PICO question and their various keywords and subject terms together. This document shows you how to use the tables and provides a few options to organize your table. Use whichever works best for you!  Search Strategy Tables to Break your PICO into Concepts .

PICO and Qualitative Questions

A qualitative PICO question focuses on in-depth perspectives and experiences.  It does not try to solve a problem by analyzing numbers, but rather to enrich understanding through words.  Therefore, the emphasis in qualitative PICO questions is on fully representing the information gathered, rather than primarily emphasizing ways the information can be broken down and expressed through measurable units (though measurability can also play an important role). 

A strength of a qualitative PICO question is that it can investigate what patient satisfaction looks like, for example, instead of only reporting that 25% of patients who took a survey reported that they are satisfied. 

When working with qualitative questions, an alternative to using PICO in searching for sources is the SPIDER search tool.  SPIDER is an acronym that breaks down like this:

P=Phenomena of Interest

E=Evaluation

R=Research Type

Cooke, A., Smith, D., & Booth, A. (2012). Beyond PICO: The SPIDER tool for qualitative evidence synthesis . Qualitative Health Research, 22 (10), 1435-1443. doi:10.1177/1049732312452938

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Mixed Methods in Nursing Research : An Overview and Practical Examples

Ardith z. doorenbos.

School of Nursing, University of Washington, USA, Box 357266, Seattle, WA 98177

Mixed methods research methodologies are increasingly applied in nursing research to strengthen the depth and breadth of understanding of nursing phenomena. This article describes the background and benefits of using mixed methods research methodologies, and provides two examples of nursing research that used mixed methods. Mixed methods research produces several benefits. The examples provided demonstrate specific benefits in the creation of a culturally congruent picture of chronic pain management for American Indians, and the determination of a way to assess cost for providing chronic pain care.

Introduction

Mixed methods is one of the three major research paradigms: quantitative research, qualitative research, and mixed methods research. Mixed methods research combines elements of qualitative and quantitative research approaches for the broad purpose of increasing the breadth and depth of understanding. The definition of mixed methods, from the first issue of the Journal of Mixed Methods Research, is “research in which the investigator collects and analyzes data, integrates the findings, and draws inferences using both qualitative and quantitative approaches or methods in a single study or program of inquiry” ( Tashakkori & Creswell, 2007 , p.4).

Mixed methods research began among anthropologists and sociologists in the early 1960s. In the late 1970s, the term “triangulation” began to enter methodology conversations. Triangulation was identified as a combination of methodologies in the study of the same phenomenon to decrease the bias inherent in using one particular method ( Morse, 1991 ). Two types of sequencing for mixed methods design have been proposed: simultaneous and sequential. Type of sequencing is one of the key decisions in mixed methods study design. Simultaneous sequencing is postulated to be simultaneous use of qualitative and quantitative methods, where there is limited interaction between the two sources of data during data collection, but the data obtained is used in the data interpretation stage to support each method's findings and to reach a final understanding. Sequential sequencing is postulated to be the use of one method before the other, as when the results of one method are necessary for planning the next method.

Since the 1960s, the use of mixed methods has continued to grow in popularity ( O'Cathain, 2009 ). Currently, although there are numerous designs to consider for mixed methods research, the four major types of mixed methods designs are triangulation design, embedded design, explanatory design, and exploratory design ( Creswell & Plano Clark, 2007 ). The most common and well-known approach to mixed methods research continues to be triangulation design.

There are many benefits to using mixed methods. Quantitative data can support qualitative research components by identifying representative patients or outlying cases, while qualitative data can shed light on quantitative components by helping with development of the conceptual model or instrument. During data collection, quantitative data can provide baseline information to help researchers select patients to interview, while qualitative data can help researchers understand the barriers and facilitators to patient recruitment and retention. During data analysis, qualitative data can assist with interpreting, clarifying, describing, and validating quantitative results.

Four broad types of research situations have been reported as benefiting particularly from mixed methods research. The first situation is when concepts are new and not well understood. Thus, there is a need for qualitative exploration before quantitative methods can be used. The second situation is when findings from one approach can be better understood with a second source of data. The third situation is when neither a qualitative nor a quantitative approach, by itself, is adequate to understanding the concept being studied. Lastly, the fourth situation is when the quantitative results are difficult to interpret, and qualitative data can assist with understanding the results ( Creswell & Plano Clark, 2007 ).

The purpose of this article is to illustrate mixed methods methodology by using examples of research into the chronic pain management experience among American Indians. These examples demonstrate the methodology used to provide (a) a detailed multilevel understanding of the chronic pain care experience for American Indians using triangulation design (multilevel model), and (b) a comparison of cost for two different chronic pain care delivery models, also using triangulation design (data transformation model).

An Example : Understanding the Pain Management Experience Among American Indians

Chronic pain poses unique challenges to the American health care system, including ever-escalating costs, unintentional poisonings and deaths from overdoses of painkillers, and incalculable suffering for patients as well as their families. Approximately 100 million adults in the United States are affected by chronic pain, with treatment costs and losses in productivity totaling $635 billion annually ( Institute of Medicine, 2011 ). Symptoms of pain are the leading reason patients visit health care providers ( Hing, Cherry, & Woodwell, 2006 ).

At the level of the community-based primary care provider, especially in tribal areas of the United States, there is often not enough capacity to manage complex chronic pain cases, and this is often due to lack of access to specialty pain care ( Momper, Delva, Tauiliili, Mueller-Williams, & Goral, 2013 ). The American Indian population in particular is underserved by health care and the most vulnerable to the impact of chronic pain, with high rates of drug poisoning due to opioid analgesics ( Warner, Chen, Makuc, Anderson, & Minino, 2011 ). There are 2.9 million people who report exclusive and an additional 1.6 million who report partial American Indian ancestry in the United States. They are a diverse group, residing in 35 states and organized into 564 federally recognized tribes ( U.S. Census Bureau, 2010 ). However, there is a scarcity of published literature exploring the experience, epidemiology, and management of pain among American Indians ( Haozous, Knobf, & Brant, 2010 ; Haozous & Knobf, 2013 ; Jimenez, Garroutte, Kundu, Morales, & Buchwald, 2011 ).

Using Mixed Methods to Overcome Barriers to Research

Barriers to effective research into chronic pain management among American Indians include the relatively small number of American Indian patients in any circumscribed area or tribe, the limitations of individual databases, and widespread racial misclassification. A mixed methods research approach is needed to understand the complex experience, epidemiology, and management of chronic pain among American Indians and to address the strengths and weaknesses of quantitative methodologies (large sample size, trends, generalizable) with those of qualitative methodologies (small sample size, details, in-depth).

This first example is from an ongoing study that uses triangulation design to provide a better understanding of the phenomenon of chronic pain management among American Indians. The study uses a multilevel model in which quantitative data collected at the national and state levels will be analyzed in parallel with the collection and analysis of the qualitative data at the patient level (see Figure 1 ). This allows the weakness of one approach to be offset by the strengths of the other. The results of the separate level analyses will be compared, contrasted, and blended leading to an overall interpretation of results.

Role of quantitative data

Previous examination of U.S. national databases has reported a higher prevalence of lower back pain in American Indians than in the general population (35% compared to 26% ; Deyo, Mirza, & Martin, 2002 ). Thus, at level 1, quantitative administrative data sets representing health care received by American Indians, both across the United States and in broad regions, will be used to evaluate macro-level trends in utilization of health care and in basic outcomes, such as opioid-related deaths.

At level 2, more detailed quantitative Washington state tribal clinic data will be used to identify American Indian populations, evaluate breakdowns in the delivery of care, and identify processes that lead to unsuccessful outcomes. For example, in a study conducted with community health practitioners in Alaska, participants reported low levels of knowledge and comfort around discussing cancer pain ( Cueva, Lanier, Dignan, Kuhnley, & Jenkins, 2005 ).

Role of qualitative data

At level 3, qualitative research through focus groups and key informant interviews will provide even more refined information about perceptions of recommended and received care. These interviews will provide insight into selected immediate and proximal factors. These factors include patients' choice and use of services; attitudes, motivations, and perceptions that influence their decisions; interpersonal factors, such as social support; and perceived discrimination. This qualitative data will shed light on potential barriers to care that are not easily recognized in administrative or clinical records, and thereby will provide greater detail about patient views of chronic pain care.

Role of (qualitative) indigenous methodologies

Since the focus of this study is on the chronic pain experience among American Indian patients, it is important that the qualitative work in level 3 be guided by indigenous methodologies, in both data collection and analysis. The phrase “indigenous methodologies” refers to an evolving framework for creating research that places the epistemologies of indigenous participants and communities at the center of the work, while building an equitable and respectful setting for bidirectional learning ( Evans, Hole, Berg, Hutchinson, & Sookraj, 2009 ; Louis, 2007 .; Smith, 2004 ). Although the tenets of indigenous methodologies vary according to the source, there is agreement among sources that research with indigenous populations should be wellness-oriented, holistic, community-oriented, and focused on indigenous knowledge, and should incorporate bidirectional learning ( Louis, 2007 ; Smith, 2004 ).

The ongoing project aligns with these guidelines by building knowledge about the chronic pain experience from the perspective of American Indian patients. The data is being interpreted with the goal of designing a usable and relevant model that will resonate at the American Indian community level. The researchers have conducted focus groups with the needs and priorities of the participants placed at the forefront, to best achieve the goals of learning and building knowledge that reflects the participants' experiences. Specifically, the focus groups were scheduled within three tribes, ensuring high familiarity and social support among group members. These focus groups met either at a tribal community center or in a nearby tribally owned casino in the evening. Each focus group started with a dinner, followed by discussion.

The focus group facilitator was well-known to the community, and although not American Indian, had been an active participant in community events and had provided expert knowledge and consultation to the tribes. Additionally, each focus group was co-facilitated by a tribal elder. The high familiarity among the participants and the research team was an important component of the bidirectional learning: it helped reduce much of the mistrust that has historically prevented medical researchers from obtaining high-quality data in similarly vulnerable populations ( Guadagnolo, Cina, & Helbig, 2009 ).

Benefits of Triangulation Design: Multilevel Model

In summary, only a mixed methods study that included quantitative and qualitative methods could provide the data required for a comprehensive multilevel assessment of the chronic pain experience among American Indians. Although this study is ongoing, the plan is for a nationwide analysis of variations in chronic pain outcomes among American Indians to examine the structure of service delivery and organization. Analysis of the state tribal clinic data will address intermediate factors and will examine community-level variation in pain management and local access to pain specialists. Preliminary analysis of the focus group data has already demonstrated that there is insufficient pain management among American Indians, due in part to lack of knowledge about pain management among providers and lack of access to pain specialists.

An Example; Comparing the Costs of Two Models for Providing Chronic Pain Care to American Indians

Telehealth is one innovative approach to providing access to high-quality interdisciplinary pain care for American Indians. A telehealth model with a unique approach based on provider-to-provider videoconference consultations allows community-based providers to present complex chronic pain cases to a panel of pain specialists through a videoconferencing infrastructure that also incorporates longitudinal outcomes tracking to monitor patient progress. Telehealth is an innovative model of health care delivery, and its use among American Indians has been expanding over the past several years ( Doorenbos et al., 2010 ; Doorenbos et al., 2011a ; 2011b ). Although the use of telehealth for providing chronic pain consultation is still in early stages, the long-term effectiveness of this approach and its impact on increasing capacity for pain management among community providers is being investigated ( Haozous et al., 2012 ; Tauben, Towle, Gordon, Theodore, & Doorenbos, 2013 ). The mixed methods approach for this transaction cost analysis used a unique triangulation design with a data transformation model to build a body of evidence for telehealth pain management.

With ever increasing mandates to reduce the cost and increase the quality of pain management, health care institutions are faced with the challenge of demonstrating that new technologies provide value while maintaining or even improving the quality of care ( Harries & Yellowlees, 2013 ). Transaction cost analysis can provide this evidence by using mixed methods research methodologies to provide comparative evaluation of the costs and consequences of using alternative technologies and the accompanying organizational arrangements for delivering care ( Williamson, 2000 ).

The theory of transaction cost developed from the observation that our structures for governing transactions—the ways in which we organize, manage, support, and carry out exchange — have economic consequences ( Williamson, 1991 ). Though prices matter, this theory recognizes that prices can and do deviate from the cost of production and do not include the cost of transacting ( Coase, 1960 ). Setting aside neoclassical economic conceptions of price, output, demand, and supply, the transaction becomes the unit of analysis ( Williamson, 1985 ).

In transactions, there are typically two parties engaging in the exchange of goods or services, and both exert effort to carry out the transaction, incurring costs in the hope or with the expectation of realizing benefits. Some ways of structuring or supporting a given transaction, such as consultation or treatment for a patient from a health care provider, may be more efficient than others. The analysis examines the actual costs incurred and the related consequences experienced by the parties over time, with the hypothesis that efficiency results from the discriminating alignment of transactions with alternative, more efficient structures of governance ( Williamson, 2002 ).

Specialty health care services participating in the study described here included the University of Washington (UW) Center for Pain Relief and the UW TelePain program. The UW Center for Pain Relief is an outpatient multispecialty consultation and treatment clinic that uses the assembled expertise and skills of physicians and other medical team providers to assist in diagnosis and care for chronic pain, for example for people with painful disorders that have persisted beyond expected duration, or for people who have persistent uncontrolled pain despite appropriate treatment for the underlying medical condition. The clinic also offers pain consultation and treatment for a variety of new-onset or acute problems that may benefit from selective anesthetic procedures, such as nerve blocks or spinal nerve root compression.

The UW TelePain program serves tribal providers in the Washington, Wyoming, Alaska, Montana, and Idaho (WWAMI) region. These tribal providers include primary care physicians, physician assistants, and nurse practitioners. The tribal providers have access to weekly videoconferences both with other community providers and with university-based pain and symptom management experts. During videoconferences, providers manage cases, engage in evidence-based practice activities, and receive peer support. Throughout the process, these community providers are responsible for direct patient care, and they act on recommendations of the consulting pain specialists.

The two care delivery models discussed above — traditional in-clinic consultation at the Center for Pain Relief and telehealth case consultation through TelePain — provided this mixed methods study using triangulation design and a data transformation model with two comparative arrangements for delivering the same transaction: delivery of pain care to patients (see Figure 2 ).

Qualitative and Quantitative Data Collection Procedures

Participant observation and structured interviews were used to identify and describe two comparable completed transactions for patients with chronic pain. Members of the clinical care teams selected one transaction from each service for which the care could be said to represent the routines and norms of their health care organization. The chosen transactions were carried out with patients of the same gender, similar age, and similar health characteristics. For the study, clinical care teams from each service provided two qualitative on-site interviews documenting clinical work flow and processes (i.e., the steps in the transaction). For the in-clinic transaction, members of the clinical care team interviewed included a nurse care coordinator, pain specialist, medical assistant, patient outcomes assessment coordinator, nurse triage manager, patient support services supervisor, and financial authorization specialist. For the Tele-Pain transaction, team members interviewed included the TelePain nurse care coordinator, two pain specialists, an information technology specialist, and the clinic provider.

The following details the process of the mixed methods analysis. First, individual steps, or discrete tasks, within each transaction (in-clinic versus TelePain) were identified using qualitative interviews and itemized in detail. Details from the qualitative data included a description of each task, the person (s) engaged, the duration of engagement of each person in minutes, the information accrued to the patient's medical record, the technologies employed, and the locations where tasks were conducted and information was transmitted or stored.

The quantitative data collected included date and time, and therefore duration in business days, that accumulated with each step in the transaction. Finally, the costs of each step collected from the qualitative data were identified and transformed into quantitatively estimated data for each transaction. Analysis focused on the primary costs in health care: the value of people's time. These values were limited to labor costs for the in-clinic and telehealth personnel; proxies for the value of time were used with estimates of time for the patient. Costs were estimated as a function of time spent per task and per patient, and the actual wage, including benefits, of personnel engaged in the transaction.

Qualitative and Quantitative Data Analysis

Personal identifiable information was redacted from each patient's medical record, and the records were reviewed for comparability as well as for norms and routines of care for the in-clinic and telehealth organizations. The characteristics of the two patients were similar. Both were first-time patients to their respective organizations, and were referred by their primary care providers for specialized care. The reasons for seeking care and report of conditions potentially related to chronic pain were similar. Both transactions resulted in a consultation recommending referral for additional specialized care or treatment.

Two work flows, one in-clinic and one telehealth, were developed by documenting actual tasks undertaken during the transactions. In follow-up interviews, these work flows were presented to participants for review and comment. These interviews resulted in a complete itemized list of dates, personnel, and time spent per person on discrete steps or tasks. Tables and graphs expressing the steps, with cost accrual over time and in sum, were developed and compared for each transaction, to each other, and with respect to participants' rationales for the tasks in each transaction.

The equation expressing the cost per transaction is as follows, where the total cost of the transaction ( C T ) is the sum of the costs of each discrete task ( k i ) in the transaction, measured per participant ( x, y, z …) on the task, as the product of time ( t ) and wage rate ( w ), or in the case of the patient ( x, y, z …), a proxy for the value of time ( w ) and estimated time ( t ).

In total, 46 discrete steps were taken for the typical in-clinic transaction at the UW Center for Pain Relief (one patient case, reviewed by two pain specialists) versus 27 steps for the typical TelePain transaction (three patient cases, reviewed by six pain specialists). The greater number and types of administrative steps taken to schedule, execute, and follow up the in-clinic consultation resulted in greater duration of time between receipt of initial referral request and completion of the initial consultation with the pain specialists. A total of 153 business days (213 calendar days) elapsed between referral and the completion of the entire in-clinic transaction, versus 4 business days (4 calendar, days) for the TelePain transaction. Importantly, for the transaction at the UW Center for Pain Relief, 72 business days transpired before consultation concluded with a referral for the patient's record; the same conclusion was reached in 4 days in the TelePain transaction. These methods used to determine transaction costs provide an excellent example of mixed methods research, where both qualitative and quantitative data and analysis are needed to provide the transaction cost results.

Mixed methods are increasingly being used in nursing research. We have detailed two studies in which mixed methods research with triangulation design brought a richness to the examination of the phenomenon that a single methodology would not In the two examples described, a major advantage of the triangulation design is its efficiency, because both types of data are collected simultaneously. Each type of data can be collected and analyzed separately and independently, using the techniques traditionally associated with each data type. Both simultaneous and sequential data collection lend themselves to team research, in which the team includes researchers with both quantitative and qualitative expertise.

Challenges include the effort and expertise required due to the simultaneous data collection, and the fact that equal weight is usually given to each data type. Thus this research requires a team, or extensive training in both quantitative and qualitative methodologies, and careful adherence to the methodological rigor required for both methodologies. Nursing researchers may face the possibility of inconsistency in research findings arising from the objectivity of quantitative methods and the subjectivity of qualitative methods. In these cases, additional data collection may be required.

The first example, regarding the pain management experience among American Indians, used triangulation design in a multilevel model format. The multilevel model was useful in designing this study as different methods were needed at different levels to fully understand the complex health care system. In this example, quantitative data is being collected and analyzed at the national and state levels, and qualitative data is being collected at the patient level. Both qualitative and quantitative data are being collected simultaneously. The findings from each level will then be blended into one overall interpretation.

The second example, a transaction cost analysis, also used triangulation design, but the model used was that of data transformation. As in the multilevel model used in the first example, the data transformation model involved the separate but concurrent collection of qualitative and quantitative data. A novel step in this model involves transforming the qualitative data into quantitative data, and then comparing and interrelating the data sets. This required the development of procedures for transforming the qualitative data, related to, time spent on a step and salary of the provider, into quantitative cost data.

The two studies presented as examples demonstrate mixed methods research resulting in the creation of (a) a rich description of the American Indian chronic pain experience, and (b) a way to assess cost for providing chronic pain care via tribal clinics. In both examples, the quantitative data and their subsequent analysis provide a general understanding of the research problem. The qualitative data and their analysis refine and explain the results by exploring participants' views in more depth. Research using a single methodology would not have been able to achieve the same results.

Acknowledgments

Research reported in this paper was supported by the National Institute of Nursing Research of the National Institutes of Health under award number #R01NR012450 and the National Cancer Institute of the National Institutes of Health under award number #R42 CA141875. The content is solely the responsibility of the authors and does not necessarily represent the official views of the National Institutes of Health.

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Nursing Resources : Qualitative vs Quantitative

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Differences between Qualitative & Quantitative Research

" Quantitative research ," also called " empirical research ," refers to any research based on something that can be accurately and precisely measured.  For example, it is possible to discover exactly how many times per second a hummingbird's wings beat and measure the corresponding effects on its physiology (heart rate, temperature, etc.).

" Qualitative research " refers to any research based on something that is impossible to accurately and precisely measure.  For example, although you certainly can conduct a survey on job satisfaction and afterwards say that such-and-such percent of your respondents were very satisfied with their jobs, it is not possible to come up with an accurate, standard numerical scale to measure the level of job satisfaction precisely.

It is so easy to confuse the words "quantitative" and "qualitative," it's best to use "empirical" and "qualitative" instead.

Hint: An excellent clue that a scholarly journal article contains empirical research is the presence of some sort of statistical analysis

See "Examples of Qualitative and Quantitative" page under "Nursing Research" for more information.

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Examples of Qualitative vs Quantitiative

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Develop your research question

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STEP 1: Understand your research objective

Before you start developing your research question, think about your research objectives:

• What are you trying to do? (compare, analyse)
• What do you need to know about the topic?
• What type of research are you doing?
• What types of information/studies do you need? (e.g. randomised controlled trial, case study, guideline, protocol?)
• Does the information need to be current?

Watch the following video (6:26) to get you started:

Key points from the video

• All good academic research starts with a research question.
• A research question is an actual question you want to answer about a particular topic.
• Developing a question helps you focus on an aspect of your topic, which will streamline your research and writing.
• Pick a topic you are interested in.
• Narrow the topic to a particular aspect.
• Brainstorm some questions around your topic aspect.
• Select a question to work with.
• Focus the question by making it more specific. Make sure your question clearly states who, what, when, where, and why.
• A good research question focuses on one issue only and requires analysis.
• Your search for information should be directed by your research question.
• Your thesis or hypothesis should be a direct answer to your research question, summarised into one sentence.

STEP 2: Search before you research

The benefits of doing a background search :

• You can gather more background knowledge on a subject
• explore different aspects of your topic
• identify additional keywords and terminology

STEP 3: Choose a topic

The resources linked below are a good place to start: 

• UpToDate It covers thousands of clinical topics grouped into specialties with links to articles, drugs and drug interaction databases, medical calculators and guidelines.
• An@tomedia This online anatomy resource features images, videos, and slides together with interactive, educational text and quiz questions.
• Anatomy.tv Find 3D anatomical images; functional anatomy animations and videos, and MRI, anatomy, and clinical slides. Test your knowledge through interactive activities and quizzes.

STEP 4: Brainstorm your questions

Now you have explored different aspects of your topic, you may construct more focused questions (you can create a few questions and pick one later).

Learn more: 

• Clear and present questions: formulating questions for evidence based practice (Booth 2006) This article provides an overview of thinking in relation to the theory and practice of formulating answerable research questions.

STEP 5: Pick a question and focus

Once you have a few questions to choose from, pick one and refine it even further.

Are you required to use "PICO"?

• PICO worksheet
• Other frameworks

The PICO framework (or other variations) can be useful for developing an answerable clinical question. 

The example question used in this guide is a PICO question:   How does speech therapy compare to cognitive behavioural therapy in improving speech fluency in adolescents?

Use the interactive PICO worksheet to get started with your question, or you can download the worksheet document.

• Building your question with PICO

Here are some different frameworks you may want to use:

There are a number of PICO variations which can be used for different types of questions, such as qualitative, and background and foreground questions. Visit the Evidence-Based Practice (EBP) Guide to learn more:

• Evidence Based Practice guide
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Forming a Research Question

Finer to create a research question, pico (t) format for building research questions, peo framework for building a research question, spider tool : building a qualitative research question.

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Creating a research question is an exciting and challenging exercise.  A research question gives you the opportunity to dig into a topic in which you are interested, and, to then share this information with others.

A good research question should be specific and focused. The answer should be discovered through data collection and analysis (i.e. research). The answer to a research question is NOT  a simple "yes" or "no."

Follow these steps:

• Identify a broad topic in which you are interested.  There is little point in spending time and energy researching a topic that holds no interest for you.
• Start some preliminary research on the topic.  Search the library databases, Google, Google Scholar. 
• Brainstorm.
• Is there a gap in the knowledge?  Do you want to extend the knowledge in a certain area?
• Recognize that your initial research question may change as you gather more information about your topic.
• Use FINER or PICOT or PEO or SPIDER to construct your research question (see below).

Check out this handy Guide:   North Island College Research Question Guide

Tips and Examples of Research Questions

Creating Quantitative and Qualitative Research Questions (Research.com)

Nursing:  Forming Questions   (McMaster University)

Examples of Good and Bad Research Questons   (Research.com)

Use the acronym FINER to help develop your research question:

• F easible - is the scope reasonable?  is there enough time for the research?
• I nteresting - if the topic is not interesting, there will be little motivation to do the research or read the research.
• N ovel - does the question encourage a novel approach to an existing question, or, a new question all together?
• E thical - the question must do no harm and must protect privacy and confidentiality of participants.
• R elevant -  does it fill a gap in current knowledge?  does it analyze, compare, monitor or test assumptions of a topic?

For more details on FINER:   https://research.com/research/how-to-write-a-research-question

To formulate questions in Evidence Based Practice, use the PICOT format.

PICOT stands for:

• Population/ Patient Problem : Who is your patient? (Disease or Health status, age, race, sex)
• Intervention : What do you plan to do for the patient? (Specific tests, therapies, medications)
• Comparison : What is the alternative to your plan? (ie. No treatment, different type of treatment, etc.)
• Outcome : What outcome do you seek? (Less symptoms, no symptoms, full health, etc.)
• Time: What is the time frame? (This element is not always included.)

PICOT questions will typically fall under one of these types:

• Therapy/Prevention: Is this intervention more effective than another
• Diagnosis/Diagnostic test: How accurate is this diagnostic test
• Etiology/Harm: What are the causes of this condition or state of affairs
• Prognosis: What is a patients likely course over time

Type of Study for Question ***

Therapy: RCT (randomized controlled trial)

Diagnostic Test: independent, blind comparison to a gold standard

Harm/Etiology: RCT>cohort study.case control

Quality of Life: Qualitative Study

Cost-Effectiveness: Economic analysis

*****In each case, a systematic review  of all the available studies is better than an individual study. A systematic review will compare several RCt"s that have studied the same treatment and aggregate results.

PICO Resources

• Help Choosing Kinds of Research and Databases This document will tell you the kinds of evidence available in which databases, that would help answer your research question.
• 7 Steps to the Perfect PICO Search in CINAHL (EBSCO) This 45 minutes video direct from EBSCO will walk and talk you through how to do a PICO search.
• PICO template questions

Like the PICOT framework, the PEO framework is commonly used in clinical studies as well. However, this framework is more useful for qualitative research questions. This framework includes these elements:

• P - population being studied
• E - exposure to preexisting conditions
• O - outcome of interest

https://research.com/research/how-to-write-a-research-question

• Phenomenon of Interest
• Research Type
• Final Search Terms

Sample is similar to Patient/Population of PICO. This is the group of people you are interesting in studying qualitatively.

For example, in the qualitative research question, " What are the barriers felt by nurses that lead to the  reluctance to use EBP in practice?"

SPIDER Table from the Gonzaga University Evidence-Based Practice LibGuide

The Phenomenon of Interest can be similar to Intervention of PICO. This can be viewed as the topic of the research,

PI = Use of EBP

Design can be viewed as the techniques used by the qualitative researchers to gather their data. Typically these are:

• Focus Groups
• Observations

The design choice depends on what your qualitative research design plan will be. For example, in the qualitative research question, " What are the barriers felt by nurses that lead to the  reluctance to use EBP in practice?"

D = Interviews or Focus Groups

Evaluation is similar to Outcomes of PICO. 

E = Barriers to use of EBP

Research type can be viewed as the type of qualitative research that could have been used. The types are:

• Phenomenology
• Ethnography
• Grounded theory

R = Phenomenology

Now that you have your qualitative research questions broken into SPiDER, you can now think about your search strategy.

S = Nurses (and other possible terms)

Pi = EBP (and other possible terms)

E = Barriers (and other possible terms)

Search Strategy:

Nurse AND EBP AND (Focus Groups OR Interviews) AND Barriers AND Phenomenology

Also consider possible controlled vocabulary with the understanding that literature research databases will vary with that they may have for qualitative research terms.

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PICOT Question Examples for Nursing Research

Are you looking for examples of nursing PICOT questions to inspire your creativity as you research for a perfect nursing topic for your paper? You came to the right place.

We have a comprehensive guide on how to write a good PICO Question for your case study, research paper, white paper, term paper, project, or capstone paper. Therefore, we will not go into the details in this post. A good PICOT question possesses the following qualities:

• A clinical-based question addresses the nursing research areas or topics.
• It is specific, concise, and clear.
• Patient, problem, or population.
• Intervention.
• Comparison.
• Includes medical, clinical, and nursing terms where necessary.
• It is not ambiguous.

For more information, read our comprehensive PICOT Question guide . You can use these questions to inspire your PICOT choice for your evidence-based papers , reports, or nursing research papers.

If you are stuck with assignments and want some help, we offer the best nursing research assignment help online. We have expert nursing writers who can formulate an excellent clinical, research, and PICOT question for you. They can also write dissertations, white papers, theses, reports, and capstones. Do not hesitate to place an order.

List of 180 Plus Best PICOT Questions to Get Inspiration From

Here is a list of nursing PICO questions to inspire you when developing yours. Some PICOT questions might be suitable for BSN and MSN but not DNP. If you are writing a change project for your DNP, try to focus on PICOT questions that align to process changes. 

• Among healthy newborn infants in low- and middle-income countries (P), does early skin-to-skin contact of the baby with the mother in the first hour of life (I) compared with drying and wrapping (C) have an impact on neonatal mortality, hypothermia or initiation/exclusivity/ duration of breastfeeding (O)?
• Is it necessary to test blood glucose levels 4 times daily for a patient suffering from Type 1 diabetes?
• Does raising the head of the bed of a mechanically ventilated patient reduce the chances of pneumonia?
• Does music therapy is an effective mode of PACU pain management for patients who are slowly coming out from their anesthesia?
• For all neonates (P), should vitamin K prophylaxis (I) be given for the prevention of vitamin K deficiency bleeding (O)?
• For young infants (0-2 months) with suspected sepsis managed in health facilities (P), should third generation cephalosporin monotherapy (I) replace currently recommended ampicillin-gentamicin combination (C) as first line empiric treatment for preventing death and sequelae (O)?
• In low-birth-weight/pre-term neonates in health facilities (P), is skin-to-skin contact immediately after birth (I) more effective than conventional care (C) in preventing hypothermia (O)?
• In children aged 259 months (P), what is the most effective antibiotic therapy (I, C) for severe pneumonia (O)?
• Is skin-to-skin contact of the infant with the mother a more assured way of ensuring neonatal mortality compared to drying and wrapping?
• Are oral contraceptives effective in stopping pregnancy for women above 30 years?
• Is spironolactone a better drug for reducing the blood pressure of teenagers when compared to clonidine?
• What is the usefulness of an LP/spinal tap after the beginning of antivirals for a pediatric population suffering from fever?
• In children aged 259 months in developing countries (P), which parenteral antibiotic or combination of antibiotics (I), at what dose and duration, is effective for the treatment of suspected bacterial meningitis in hospital in reducing mortality and sequelae (O)?
• Does the habit of washing hands third-generation workers decrease the events of infections in hospitals?
• Is the intake of zinc pills more effective than Vitamin C for preventing cold during winter for middle-aged women?
• In children with acute severe malnutrition (P), are antibiotics (I) effective in preventing death and sequelae (O)?
• Among, children with lower respiratory tract infection (P), what are the best cut off oxygen saturation levels (D), at different altitudes that will determine hypoxaemia requiring oxygen therapy (O)?
• In infants and children in low-resource settings (P), what is the most appropriate method (D) of detecting hypoxaemia in hospitals (O)?
• In children with shock (P), what is the most appropriate choice of intravenous fluid therapy (I) to prevent death and sequelae (O)?
• In fully conscious children with hypoglycaemia (P) what is the effectiveness of administering sublingual sugar (I)?
• Is using toys as distractions during giving needle vaccinations to toddlers an effective pain response management?
• What is the result of a higher amount of potassium intake among children with low blood pressure?
• Is cup feeding an infant better than feeding through tubes in a NICU setup?
• Does the intervention of flushing the heroin via lines a more effective way of treating patients with CVLs/PICCs?
• Is the use of intravenous fluid intervention a better remedy for infants under fatal conditions?
• Do bedside shift reports help in the overall patient care for nurses?
• Is home visitation a better way of dealing with teen pregnancy when compared to regular school visits in rural areas?
• Is fentanyl more effective than morphine in dealing with the pain of adults over the age of 50 years?
• What are the health outcomes of having a high amount of potassium for adults over the age of 21 years?
• Does the use of continuous feed during emesis a more effective way of intervention when compared to the process of stopping the feed for a short period?
• Does controlling the amount of sublingual sugar help completely conscious children suffering from hypoglycemia?
• Is the lithotomy position an ideal position for giving birth to women in labor?
• Does group therapy help patients with schizophrenia to help their conversational skills?
• What are the probable after-effects, in the form of bruises and other injuries, of heparin injection therapy for COPD patients?
• Would standardized discharge medication education improve home medication adherence in adults age 65 and older compared to-standardized discharge medication education?
• In patients with psychiatric disorders is medication non-compliance a greater risk compared with adults experiencing chronic illness?
• Is the use of beta-blockers for lowering blood pressure for adult men over the age of 70 years effective?
• Nasal swab or nasal aspirate? Which one is more effective for children suffering from seasonal flu?
• What are the effects of adding beta-blockers for lowering blood pressure for adult men over the age of 70 years?
• Does the process of stopping lipids for 4 hours an effective measure of obtaining the desired TG level for patients who are about to receive TPN?
• Is medical intervention a proper way of dealing with childhood obesity among school-going children?
• Can nurse-led presentations of mental health associated with bullying help in combating such tendencies in public schools?
• What are the impacts of managing Prevacid before a pH probe study for pediatric patients with GERD?
• What are the measurable effects of extending ICU stays and antibiotic consumption amongst children with sepsis?
• Does the use of infrared skin thermometers justified when compared to the tympanic thermometers for a pediatric population?
• What are the roles of a pre-surgery cardiac nurse in order to prevent depression among patients awaiting cardiac operation?
• Does the increase in the habit of smoking marijuana among Dutch students increase the chances of depression?
• What is the direct connection between VAP and NGT?
• Is psychological intervention for people suffering from dementia a more effective measure than giving them a placebo?
• Are alarm sensors effective in preventing accidents in hospitals for patients over the age of 65 years?
• Is the sudden change of temperature harmful for patients who are neurologically devastated?
• Is it necessary to test blood glucose levels, 4 times a day, for a patient suffering from Type 1 diabetes?
• Is the use of MDI derive better results, when compared to regular nebulizers, for pediatric patients suffering from asthma?
• What are the effects of IVF bolus in controlling the amount of Magnesium Sulfate for patients who are suffering from asthma?
• Is the process of stopping lipids for 4 hours an effective measure of obtaining the desired TG level for patients who are about to receive TPN?
• What are the standards of vital signs for a pediatric population?
• Is daily blood pressure monitoring help in addressing the triggers of hypertension among males over 65 years?
• Does receiving phone tweets lower blood sugar levels for people suffering from Type 1 diabetes?
• Are males over the age of 30 years who have smoked for more than 1 year exposed to a greater risk of esophageal cancer when compared to the same age group of men who have no history of smoking?
• Does the increase in the use of mosquito nets in Uganda help in the reduction of malaria among the infants?
• Does the increase in the intake of oral contraceptives increase the chances of breast cancer among 20-30 years old women in the UK?
• In postpartum women with postnatal depression (P), does group therapy (I) compared to individual therapy (C) improve maternal-infant bonding (O) after eight weeks (T)?
• In patients with chronic pain (P), does mindfulness-based cognitive therapy (I) compared to pharmacotherapy (C) improve quality of life (O) after 12 weeks (T)?
• In patients with type 2 diabetes (P), does continuous glucose monitoring (I) compared to self-monitoring of blood glucose (C) improve glycemic control (O) over a period of three months (T)?
• In patients with chronic kidney disease (P), does a vegetarian diet (I) compared to a regular diet (C) slow the decline in renal function (O) after one year (T)?
• In pediatric patients with acute otitis media (P), does delayed antibiotic prescribing (I) compared to immediate antibiotic prescribing (C) reduce antibiotic use (O) within one week (T)?
• In older adults with dementia (P), does pet therapy (I) compared to no pet therapy (C) decrease agitation (O) after three months (T)?
• In patients with chronic heart failure (P), does telemonitoring of vital signs (I) compared to standard care (C) reduce hospital readmissions (O) within six months (T)?
• In patients with anxiety disorders (P), does exposure therapy (I) compared to cognitive therapy (C) reduce anxiety symptoms (O) after 12 weeks (T)?
• In postpartum women with breastfeeding difficulties (P), does lactation consultation (I) compared to standard care (C) increase breastfeeding rates (O) after four weeks (T)?
• In patients with chronic obstructive pulmonary disease (P), does long-acting bronchodilator therapy (I) compared to short-acting bronchodilator therapy (C) improve lung function (O) after three months (T)?
• In patients with major depressive disorder (P), does bright light therapy (I) compared to placebo (C) reduce depressive symptoms (O) after six weeks (T)?
• In patients with diabetes (P), does telemedicine-based diabetes management (I) compared to standard care (C) improve glycemic control (O) over a period of six months (T)?
• In patients with chronic kidney disease (P), does a low-phosphorus diet (I) compared to a regular diet (C) decrease serum phosphate levels (O) after one year (T)?
• In pediatric patients with acute gastroenteritis (P), does probiotic supplementation (I) compared to placebo (C) reduce the duration of diarrhea (O) within 48 hours (T)?
• In patients with chronic pain (P), does acupuncture (I) compared to sham acupuncture (C) reduce pain intensity (O) after eight weeks (T)?
• In older adults at risk of falls (P), does a home modification program (I) compared to no intervention (C) reduce the incidence of falls (O) over a period of six months (T)?
• In patients with schizophrenia (P), does cognitive remediation therapy (I) compared to standard therapy (C) improve cognitive function (O) after one year (T)?
• In patients with chronic kidney disease (P), does angiotensin-converting enzyme inhibitors (I) compared to angiotensin receptor blockers (C) slow the progression of renal disease (O) over a period of two years (T)?
• In postoperative patients (P), does chlorhexidine bathing (I) compared to regular bathing (C) reduce the risk of surgical site infections (O) within 30 days (T)?
• In patients with type 2 diabetes (P), does a low-carbohydrate, high-fat diet (I) compared to a low-fat diet (C) improve glycemic control (O) over a period of six months (T)?
• In patients with chronic obstructive pulmonary disease (P), does pulmonary rehabilitation combined with telemonitoring (I) compared to standard pulmonary rehabilitation (C) improve exercise capacity (O) after three months (T)?
• In patients with heart failure (P), does a nurse-led heart failure clinic (I) compared to usual care (C) improve self-care behaviors (O) after six months (T)?
• In postpartum women with postnatal depression (P), does telephone-based counseling (I) compared to face-to-face counseling (C) reduce depressive symptoms (O) after eight weeks (T)?
• In patients with chronic migraine (P), does prophylactic treatment with topiramate (I) compared to amitriptyline (C) reduce the frequency of migraines (O) after three months (T)?
• In pediatric patients with acute otitis media (P), does watchful waiting (I) compared to immediate antibiotic treatment (C) reduce the duration of symptoms (O) within seven days (T)?
• In older adults with dementia (P), does reminiscence therapy (I) compared to usual care (C) improve cognitive function (O) after three months (T)?
• In patients with chronic heart failure (P), does telemonitoring combined with a medication reminder system (I) compared to telemonitoring alone (C) reduce hospital readmissions (O) within six months (T)?
• In patients with asthma (P), does self-management education (I) compared to standard care (C) reduce asthma exacerbations (O) over a period of one year (T)?
• In postoperative patients (P), does the use of wound dressings with antimicrobial properties (I) compared to standard dressings (C) reduce the incidence of surgical site infections (O) within 30 days (T)?
• In patients with chronic kidney disease (P), does mindfulness-based stress reduction (I) compared to usual care (C) improve psychological well-being (O) over a period of three months (T)?
• In adult patients with chronic pain (P), does biofeedback therapy (I) compared to relaxation techniques (C) reduce pain intensity (O) after eight weeks (T)?
• In patients with type 2 diabetes (P), does a low-glycemic index diet (I) compared to a high-glycemic-index diet (C) improve glycemic control (O) over a period of six months (T)?
• In patients with chronic obstructive pulmonary disease (P), does regular physical activity (I) compared to no physical activity (C) improve health-related quality of life (O) after three months (T)?
• In patients with major depressive disorder (P), does mindfulness-based cognitive therapy (I) compared to antidepressant medication (C) reduce depressive symptoms (O) after eight weeks (T)?
• In postpartum women (P), does perineal warm compresses (I) compared to standard perineal care (C) reduce perineal pain (O) after vaginal delivery (T)?
• In patients with chronic kidney disease (P), does a low-protein, low-phosphorus diet (I) compared to a low-protein diet alone (C) slow the progression of renal disease(O) after two years (T)?
• In pediatric patients with attention-deficit/hyperactivity disorder (P), does mindfulness-based interventions (I) compared to medication alone (C) improve attention and behavior (O) after six months (T)?
• In patients with chronic pain (P), does cognitive-behavioral therapy (I) compared to physical therapy (C) reduce pain interference (O) after 12 weeks (T)?
• In elderly patients with osteoarthritis (P), does aquatic exercise (I) compared to land-based exercise (C) improve joint flexibility and reduce pain (O) after eight weeks (T)?
• In patients with multiple sclerosis (P), does high-intensity interval training (I) compared to moderate-intensity continuous training (C) improve physical function (O) after three months (T)?
• In postoperative patients (P), does preoperative carbohydrate loading (I) compared to fasting (C) reduce postoperative insulin resistance (O) within 24 hours (T)?
• In patients with chronic obstructive pulmonary disease (P), does home-based tele-rehabilitation (I) compared to center-based rehabilitation (C) improve exercise capacity (O) after six months (T)?
• In patients with rheumatoid arthritis (P), does tai chi (I) compared to pharmacological treatment (C) reduce joint pain and improve physical function (O) after six months (T)?
• In postpartum women with postpartum hemorrhage (P), does early administration of tranexamic acid (I) compared to standard administration (C) reduce blood loss (O) within two hours (T)?
• In patients with hypertension (P), does mindfulness meditation (I) compared to relaxation techniques (C) reduce blood pressure (O) after eight weeks (T)?
• In elderly patients with hip fractures (P), does multidisciplinary geriatric care (I) compared to standard care (C) improve functional outcomes (O) after three months (T)?
• In patients with chronic kidney disease (P), does aerobic exercise (I) compared to resistance exercise (C) improve renal function (O) after six months (T)?
• In patients with major depressive disorder (P), does add-on treatment with omega-3 fatty acids (I) compared to placebo (C) reduce depressive symptoms (O) after 12 weeks (T)?
• In postoperative patients (P), does preoperative education using multimedia materials (I) compared to standard education (C) improve patient satisfaction (O) after surgery (T)?
• In patients with type 2 diabetes (P), does a plant-based diet (I) compared to a standard diet (C) improve glycemic control (O) after three months (T)?
• In patients with chronic obstructive pulmonary disease (P), does high-flow oxygen therapy (I) compared to standard oxygen therapy (C) improve exercise tolerance (O) after three months (T)?
• In patients with heart failure (P), does nurse-led telephone follow-up (I) compared to standard care (C) reduce hospital readmissions (O) within six months (T)?
• In postpartum women with postnatal depression (P), does online cognitive-behavioral therapy (I) compared to face-to-face therapy (C) reduce depressive symptoms (O) after eight weeks (T)?
• In patients with chronic migraine (P), does mindfulness-based stress reduction (I) compared to medication alone (C) reduce the frequency and severity of migraines (O) after three months (T)?
• In older adults with delirium (P), does structured music intervention (I) compared to standard care (C) reduce the duration of delirium episodes (O) during hospitalization (T)?
• In patients with chronic low back pain (P), does yoga (I) compared to physical therapy (C) reduce pain intensity (O) after six weeks (T)?
• In pediatric patients with acute otitis media (P), does watchful waiting with pain management (I) compared to immediate antibiotic treatment (C) reduce the need for antibiotics (O) within one week (T)?
• In patients with schizophrenia (P), does family psychoeducation (I) compared to standard treatment (C) improve medication adherence (O) over a period of six months (T)?
• In patients with chronic kidney disease (P), does a low-phosphorus diet (I) compared to a regular diet (C) slow the progression of renal disease (O) after one year (T)?
• In postoperative patients (P), does wound irrigation with saline solution (I) compared to povidone-iodine solution (C) reduce the incidence of surgical site infections (O) within 30 days (T)?
• In patients with type 1 diabetes (P), does continuous subcutaneous insulin infusion (I) compared to multiple daily injections (C) improve glycemic control (O) over a period of six months (T)?
• In postoperative patients (P), does the use of prophylactic antibiotics (I) compared to no antibiotics (C) reduce the incidence of surgical site infections (O) within 30 days (T)?
• In patients with chronic obstructive pulmonary disease (P), does smoking cessation counseling (I) compared to no counseling (C) decrease the frequency of exacerbations (O) over a period of six months (T)?
• In patients with diabetes (P), does a multidisciplinary team approach (I) compared to standard care (C) improve self-management behaviors (O) over a period of one year (T)?
• In pregnant women with gestational hypertension (P), does bed rest (I) compared to regular activity (C) reduce the risk of developing preeclampsia (O) before delivery (T)?
• In patients with chronic kidney disease (P), does angiotensin-converting enzyme inhibitors (I) compared to placebo (C) slow the progression of renal disease (O) over a period of two years (T)?
• In older adults with hip fractures (P), does early surgical intervention (I) compared to delayed surgery (C) improve functional outcomes (O) after six months (T)?
• In patients with major depressive disorder (P), does exercise (I) compared to antidepressant medication (C) reduce depressive symptoms (O) after eight weeks (T)?
• In children with autism spectrum disorder (P), does applied behavior analysis (I) compared to standard therapy (C) improve social communication skills (O) over a period of one year (T)?
• In postoperative patients (P), does the use of incentive spirometry (I) compared to no spirometry (C) decrease the incidence of postoperative pulmonary complications (O) within seven days (T)?
• In patients with hypertension (P), does a combination of diet modification and exercise (I) compared to medication alone (C) lower blood pressure (O) after six months (T)?
• In patients with chronic obstructive pulmonary disease (P), does home oxygen therapy (I) compared to no oxygen therapy (C) improve exercise capacity (O) after threemonths (T)?
• In patients with heart failure (P), does a multidisciplinary heart failure management program (I) compared to standard care (C) reduce hospital readmissions (O) within six months (T)?
• In postpartum women with postnatal depression (P), does mindfulness meditation (I) compared to relaxation techniques (C) reduce depressive symptoms (O) after eight weeks (T)?
• In patients with chronic kidney disease (P), does a low-sodium diet (I) compared to a regular diet (C) lower blood pressure (O) after six months (T)?
• In pediatric patients with attention-deficit/hyperactivity disorder (P), does neurofeedback training (I) compared to medication (C) improve attention and behavior (O) after six months (T)?
• In patients with chronic pain (P), does transcranial direct current stimulation (I) compared to sham stimulation (C) reduce pain intensity (O) after eight weeks (T)?
• In older adults with osteoporosis (P), does a structured exercise program (I) compared to no exercise (C) improve bone mineral density (O) after six months (T)?
• In patients with type 2 diabetes (P), does a low-carbohydrate, high-protein diet (I) compared to a standard diet (C) improve glycemic control (O) over a period of six months (T)?
• In patients with chronic obstructive pulmonary disease (P), does mindfulness-based stress reduction (I) compared to usual care (C) improve dyspnea symptoms (O) after three months (T)?
• In postpartum women with postnatal depression (P), does online peer support (I) compared to individual therapy (C) reduce depressive symptoms (O) after eight weeks (T)?
• In patients with chronic kidney disease (P), does resistance training (I) compared to aerobic training (C) improve muscle strength (O) after six months (T)?
• In pediatric patients with asthma (P), does a written asthma action plan (I) compared to verbal instructions (C) reduce emergency department visits (O) within six months (T)?
• In patients with chronic pain (P), does yoga (I) compared to pharmacological treatment (C) reduce pain interference (O) after eight weeks (T)?
• In older adults at risk of falls (P), does a multifactorial falls prevention program (I) compared to no intervention (C) reduce the rate of falls (O) over a period of six months (T)?
• In patients with schizophrenia (P), does cognitive-behavioral therapy (I) compared to medication alone (C) reduce positive symptom severity (O) after six months (T)?
• In postpartum women with breastfeeding difficulties (P), does breast massage (I) compared to no massage (C) improve milk flow (O) after four weeks (T)?
• In patients with chronic obstructive pulmonary disease (P), does long-term oxygen therapy (I) compared to short-term oxygen therapy (C) improve survival rates (O) after one year (T)?
• In patients with major depressive disorder (P), does repetitive transcranial magnetic stimulation (I) compared to sham treatment (C) reduce depressive symptoms (O) after six weeks (T)?
• In patients with diabetes (P), does a digital health app (I) compared to standard care (C) improve medication adherence (O) over a period of six months (T)?
• In patients with chronic kidney disease (P), does a low-potassium diet (I) compared to a regular diet (C) lower serum potassium levels (O) after one year (T)?
• In pediatric patients with acute gastroenteritis (P), does oral rehydration solution (I) compared to intravenous fluid therapy (C) reduce hospital admissions (O) within 48 hours (T)?
• In patients with chronic pain (P), does hypnotherapy (I) compared to no hypnotherapy (C) reduce pain intensity (O) after eight weeks (T)?
• In older adults at risk of falls (P), does a tai chi program (I) compared to no exercise program (C) improve balance and stability (O) after six months (T)?
• In patients with chronic heart failure (P), does a home-based self-care intervention (I) compared to standard care (C) reduce hospital readmissions (O) within six months (T)?
• In patients with anxiety disorders (P), does acceptance and commitment therapy (I) compared to cognitive-behavioral therapy (C) reduce anxiety symptoms (O) after 12 weeks (T)?
• In postpartum women with breastfeeding difficulties (P), does the use of nipple shields (I) compared to no nipple shields (C) improve breastfeeding success (O) after four weeks (T)?
• In patients with chronic obstructive pulmonary disease (P), does a comprehensive self-management program (I) compared to usual care (C) improve health-related quality of life (O) after three months (T)?
• In patients with major depressive disorder (P), does internet-based cognitive-behavioral therapy (I) compared to face-to-face therapy (C) reduce depressive symptoms (O) after eight weeks (T)?
• Does the increase in the habit of smoking marijuana among Dutch students increase the likelihood of depression?
• Does the use of pain relief medication during surgery provide more effective pain reduction compared to the same medication given post-surgery?
• Does the increase in the intake of oral contraceptives increase the risk of breast cancer among women aged 20-30 in the UK?
• Does the habit of washing hands among healthcare workers decrease the rate of infections in hospitals?
• Does the use of modern syringes help in reducing needle injuries among healthcare workers in America?
• Does encouraging male work colleagues to talk about sexual harassment decrease the rate of depression in the workplace?
• Does bullying in boarding schools in Scotland increase the likelihood of domestic violence within a 20-year timeframe?
• Does breastfeeding among toddlers in urban United States decrease their chances of obesity as pre-schoolers?
• Does the increase in the intake of antidepressants among urban women aged 30 years and older affect their maternal health?
• Does forming work groups to discuss domestic violence among the rural population of the United States reduce stress and depression among women?
• Does the increased use of mosquito nets in Uganda help in reducing malaria cases among infants?
• Can colon cancer be more effectively detected when colonoscopy is supported by an occult blood test compared to colonoscopy alone?
• Does regular usage of low-dose aspirin effectively reduce the risk of heart attacks and stroke for women above the age of 80 years?
• Is yoga an effective medical therapy for reducing lymphedema in patients recovering from neck cancer?
• Does daily blood pressure monitoring help in addressing the triggers of hypertension among males over 65 years?
• Does a regular 30-minute exercise regimen effectively reduce the risk of heart disease in adults over 65 years?
• Does prolonged exposure to chemotherapy increase the risk of cardiovascular diseases among teenagers suffering from cancer?
• Does breastfeeding among toddlers in the urban United States decrease their chances of obesity as pre-schoolers?
• Are first-time mothers giving birth to premature babies more prone to postpartum depression compared to second or third-time mothers in the same condition?
• For women under the age of 50 years, is a yearly mammogram more effective in preventing breast cancer compared to a mammogram done every 3 years?
• After being diagnosed with blood sugar levels, is a four-times-a-day blood glucose monitoring process more effective in controlling the onset of Type 1 diabetes?

Related: How to write an abstract poster presentation.

You can never go wrong with getting expertly written examples as a source for your inspiration. They factor in all the qualities of a good PICO question, which sets you miles ahead in your research process.

If you need a personalized approach to choosing a good PICOT question and writing a problem and purpose statement, our nursing paper acers can help you.

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Understanding Qualitative and Quantitative Research in Nursing: Quantiative Research Information

• Qualitative Research Information
• Quantiative Research Information

About Quantiative Research

Quantitative research consists of information expressed in numbers, variables, and percentages. It seeks to confirm that all problems, dilemmas, or hypotheses have clear, concrete, and objective solutions that can be expressed in a numerical format. This type of research focuses on specific, narrow questions in a double-blind study, usually with a large random group and variables. The data collected can be analyzed with the help of statistics in an unbiased manner with the objective to explain, describe, or predict.

Helpful Website Links on Quantitative Research in Nursing

• A nurses’ guide to Quantitative Research
• Understanding Quantiative Research (Article)
• Quantitative research ... This practice profile
• Quantitative vs qualitative research methods... 'What direction for mental
• Implications for quantitative and qualitative reviews.

Quantitative research consist of following elements

• a hypothesis
•  a random or specific study group with a common similarity
•  variables (any element or behavior that can affect or change the outcomes of a study, such as a medication, treatment, or nursing intervention)
•  outcomes.

Quantitative research is usually conducted in a controlled environment, such as a lab or healthcare unit. It can be categorized as follows.

3 Types of Quantitative Research

Correlational research is the methodical investigation of relationships or interactions between two or more variables without determining the cause-and-effect relationship the variables may have on each other. An example is studying two chemotherapy medications for compatibility without studying how the medications can have adverse interactions with food or other common medications.

Quasi-experimental research explores a cause-and-effect relationship among variables. It also evaluates the underlying cause of a problem and studies the effects of variables (such as a nursing intervention) to evaluate their effect on the problem.

Descriptive research offers an accurate representation of the characteristics of a particular individual, situation, or group. Descriptive research is a way of discovering new meaning, describing numerically something that currently exists, determining the frequency with which something occurs, and categorizing information.

To find articles in ERIC   click on the  advanced search  tab. Use the phrase "quantitative research"  as one of your search terms.

Related terms that may be searched:  

Bayesian statistics

Correlation

Effect size

Error of measurement

Factor analysis

Goodness of fit

Hypothesis testing

Item analysis

Least squares

Monte Carlo Methods

Maximum likelihood

Multivariate analysis

Regression (statistics)

Robustness (statistics)

Statistical analysis

Statistical inference

Statistical significance

Markov processes

Also the following may be use, but not restricted to Subject Terms

Experimental design, design of experiments, statistical design, or research design

Quantitative Research eBooks

• << Previous: Qualitative Research Information
• Last Updated: Oct 12, 2023 11:22 AM
• URL: https://subr.libguides.com/c.php?g=821764

Quantitative Research: Examples of Research Questions and Solutions

Are you ready to embark on a journey into the world of quantitative research? Whether you’re a seasoned researcher or just beginning your academic journey, understanding how to formulate effective research questions is essential for conducting meaningful studies. In this blog post, we’ll explore examples of quantitative research questions across various disciplines and discuss how StatsCamp.org courses can provide the tools and support you need to overcome any challenges you may encounter along the way.

Understanding Quantitative Research Questions

Quantitative research involves collecting and analyzing numerical data to answer research questions and test hypotheses. These questions typically seek to understand the relationships between variables, predict outcomes, or compare groups. Let’s explore some examples of quantitative research questions across different fields:

• What is the relationship between class size and student academic performance?
• Does the use of technology in the classroom improve learning outcomes?
• How does parental involvement affect student achievement?
• What is the effect of a new drug treatment on reducing blood pressure?
• Is there a correlation between physical activity levels and the risk of cardiovascular disease?
• How does socioeconomic status influence access to healthcare services?
• What factors influence consumer purchasing behavior?
• Is there a relationship between advertising expenditure and sales revenue?
• How do demographic variables affect brand loyalty?

Stats Camp: Your Solution to Mastering Quantitative Research Methodologies

At StatsCamp.org, we understand that navigating the complexities of quantitative research can be daunting. That’s why we offer a range of courses designed to equip you with the knowledge and skills you need to excel in your research endeavors. Whether you’re interested in learning about regression analysis, experimental design, or structural equation modeling, our experienced instructors are here to guide you every step of the way.

Bringing Your Own Data

One of the unique features of StatsCamp.org is the opportunity to bring your own data to the learning process. Our instructors provide personalized guidance and support to help you analyze your data effectively and overcome any roadblocks you may encounter. Whether you’re struggling with data cleaning, model specification, or interpretation of results, our team is here to help you succeed.

Courses Offered at StatsCamp.org

• Latent Profile Analysis Course : Learn how to identify subgroups, or profiles, within a heterogeneous population based on patterns of responses to multiple observed variables.
• Bayesian Statistics Course : A comprehensive introduction to Bayesian data analysis, a powerful statistical approach for inference and decision-making. Through a series of engaging lectures and hands-on exercises, participants will learn how to apply Bayesian methods to a wide range of research questions and data types.
• Structural Equation Modeling (SEM) Course : Dive into advanced statistical techniques for modeling complex relationships among variables.
• Multilevel Modeling Course : A in-depth exploration of this advanced statistical technique, designed to analyze data with nested structures or hierarchies. Whether you’re studying individuals within groups, schools within districts, or any other nested data structure, multilevel modeling provides the tools to account for the dependencies inherent in such data.

As you embark on your journey into quantitative research, remember that StatsCamp.org is here to support you every step of the way. Whether you’re formulating research questions, analyzing data, or interpreting results, our courses provide the knowledge and expertise you need to succeed. Join us today and unlock the power of quantitative research!

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