Introduction to Health Research Methods A Practical Guide 3rd Edition pdf

Page 1


CONTENT

Preface

About the Author

New to This Edition

CHAPTER 1 The Health Research Process

1.1 Clinical and Population Health Research1

1.2 The Research Process

1.3 Text Overview

STEP 1 Identifying a Study Question

CHAPTER 2 Selecting a Research Question

2.1 Practical Research

2.2 Brainstorming and Concept Mapping

2.3 Keywords

2.4 Exposures, Diseases, and Populations (EDPs)

2.5 PICOT

2.6 From Inquiry to Research

2.7 Testable Questions

2.8 Framing for Generalizability

CHAPTER 3 Reviewing the Literature

3.1 Informal Sources

3.2 Statistical Reports

3.3 Abstract Databases

3.4 Full-Text Articles

3.5 Critical Reading

3.6 Annotated Bibliographies

3.7 What Makes Research Original?

CHAPTER 4 Defining Specific Aims

4.1 Refining the Study Question

4.2 One Study Goal

4.3 Several Specific Aims

4.4 Conceptual and Theoretical Frameworks

4.5 Feasibility

CHAPTER 5 Professional Development

5.1 Research Teams

5.2 Finding Research Mentors

5.3 The Mentor–Mentee Relationship

5.4 Professional Development

5.5 Social Media and Impact Metrics

5.6 Responsible Conduct of Research

CHAPTER 6 Coauthoring

6.1 Coauthorship

6.2 Authorship Criteria

6.3 Authorship Order

6.4 Decisions About Authorship

STEP 2 Selecting a Study Approach

CHAPTER 7 Overview of Study Designs

7.1 Types of Study Approaches

7.2 Primary, Secondary, and Tertiary Studies

7.3 Observational and Experimental Studies

7.4 Exposure, Disease, or Population?

7.5 Study Duration

CHAPTER 8 Case Series

8.1 Overview

8.2 Case Definitions

8.3 Data Collection

8.4 Ethical Considerations

8.5 Analysis

CHAPTER 9 Cross-Sectional Studies

9.1 Overview

9.2 Representative Populations

9.3 KAP Surveys

9.4 Repeated Cross-Sectional Surveys

9.5 Prevalence

CHAPTER 10 Case–Control Studies

10.1 Overview

10.2 Finding Cases and Controls

10.3 Matching

10.4 Minimizing Bias

10.5 Odds Ratios

10.6 Matched Case–Control Studies

CHAPTER 11 Cohort Studies

11.1 Overview

11.2 Prospective Cohort Studies

11.3 Retrospective Cohort Studies

11.4 Longitudinal Cohort Studies

11.5 Data Collection

11.6 Ratios, Rates, and Risk

11.7 Incidence Rates

11.8 Incidence Rate Ratios

11.9 Attributable Risk

11.10 Person–Time Analysis

CHAPTER 12 Experimental Studies

12.1 Overview

12.2 Describing the Intervention

12.3 Defining Outcomes

12.4 Selecting Controls

12.5 Blinding

12.6 Randomization

12.7 Ethical Considerations

12.8 Efficacy

12.9 Screening and Diagnostic Tests

CHAPTER 13 Qualitative Studies

13.1 Overview

13.2 Ontology, Epistemology, and Axiology

13.3 Theoretical Paradigms

13.4 Qualitative Methodologies

13.5 Mixed Methods Research

CHAPTER 14 Correlational Studies

14.1 Overview

14.2 Aggregate Data

14.3 Avoiding the Ecological Fallacy

14.4 Correlation

14.5 Age Standardization

CHAPTER 15 Synthesis Research

15.1 Overview

15.2 Selecting a Topic

15.3 Library Access

15.4 Narrative Reviews

15.5 Systematic Reviews

15.6 Meta-analysis

15.7 Meta-synthesis

STEP 3 Designing the Study and Collecting Data

CHAPTER 16 Research Protocols

16.1 Overview of Research Plans by Study

Approach

16.2 Writing a Research Protocol

16.3 Rigor and Reproducibility

16.4 Research Timelines

16.5 Roles and Responsibilities

16.6 Preparing for Data Collection

CHAPTER 17 Ethical Considerations

17.1 Foundations of Research Ethics

17.2 Respect, Beneficence, and Justice

17.3 Incentives and Coercion

17.4 Informed Consent Statements

17.5 Informed Consent Process

17.6 Informed Consent Documentation

17.7 Confidentiality and Privacy

17.8 Sensitive Issues

17.9 Cultural Considerations

17.10 Vulnerable Populations

17.11 Ethics Training and Certification

CHAPTER 18 Ethical Review and Approval

18.1 Ethics Committee Responsibilities

18.2 Ethics Committee Composition

18.3 Application Materials

18.4 Exemption from Review

18.5 Review Process

18.6 Review by Multiple Committees

18.7 Ongoing Review

18.8 Conflicts of Interest

18.9 Is Ethics Review Required?

CHAPTER 19 Population Sampling

19.1 Types of Research Populations

19.2 Target and Source Populations

19.3 Sample Populations

19.4 Study Populations

19.5 Populations for Cross-Sectional Studies

19.6 Populations for Case–Control Studies

19.7 Populations for Cohort Studies

19.8 Populations for Experimental Studies

19.9 Sampling for Qualitative Studies

19.10 Vulnerable Populations

19.11 Community Involvement

CHAPTER 20 Sample Size and Power

20.1 Importance of Sample Size

20.2 Sample Size and Certainty Levels

20.3 Sample Size Estimation

20.4 Type 1 and Type 2 Errors

20.5 Power Estimation

20.6 Refining the Study Approach

CHAPTER 21 Questionnaire Development

21.1 Questionnaire Design Overview

21.2 Questionnaire Content

21.3 Types of Questions

21.4 Types of Responses

21.5 Anonymity

21.6 Wording of Questions

21.7 Order of Questions

21.8 Layout and Formatting

21.9 Reliability and Validity

21.10 Commercial Research Tools

21.11 Translation

21.12 Pilot Testing

CHAPTER 22 Collecting Quantitative Data

22.1 Interviews Versus Self-Administered Surveys

22.2 Recruiting Methods

22.3 Encouraging Participation

22.4 Data Recording Methods

22.5 Training Interviewers

CHAPTER 23 Collecting Qualitative Data

23.1 Overview

23.2 In-Depth Interviews

23.3 Focus Group Discussions

23.4 Observational Methods

23.5 Other Qualitative Research Techniques

23.6 Community-Based Participatory Research

23.7 Consensus Methods

CHAPTER 24 Additional Assessments

24.1 Supplementing Self-Reported Data

24.2 Anthropometric Measures

24.3 Vital Signs

24.4 Clinical Examination

24.5 Tests of Physiological Function

24.6 Laboratory Analysis of Biological Specimens

24.7 Medical Imaging

24.8 Tests of Physical Fitness

24.9 Environmental Assessment

24.10 Geographic Information Systems

24.11 Monitoring and Evaluation

CHAPTER 25 Secondary Analyses

25.1 Overview of Secondary Analysis

25.2 Accessing Secondary Data

25.3 Publicly Available Data Sets

25.4 Private Data Sets

25.5 Challenges of Secondary Research

25.6 Clinical Records

25.7 Health Informatics, Big Data, and Data Mining

25.8 Ethics Committee Review

CHAPTER 26 Systematic Reviews and Metaanalyses

26.1 Overview of Tertiary Analysis

26.2 Search Strings

26.3 Search Limiters

26.4 Supplemental Searches

26.5 Eligibility Criteria

26.6 Quality Assessment

26.7 Data Extraction

26.8 Systematic Review Results

26.9 Pooled Analysis

26.10 Forest Plots and Funnel Plots

CHAPTER 27 Writing Grant Proposals

27.1 Preparing to Write a Proposal

27.2 Identifying Grant Opportunities

27.3 Requests for Proposals

27.4 Research Proposal Components

27.5 Writing a Research Narrative

27.6 Funding Criteria

27.7 Budgeting

27.8 Financial Accounting

27.9 Grant Management

27.10 Unfunded Research

STEP 4 Analyzing Data

CHAPTER 28 Data Management

28.1 Data Management

28.2 Codebooks

28.3 Data Entry

28.4 Data Cleaning

28.5 Data Recoding

28.6 Statistical Software Programs

28.7 Data Security

CHAPTER 29 Descriptive Statistics

29.1 Analytic Plan by Study Approach

29.2 Types of Variables

29.3 Measures of Central Tendency

29.4 Range and Quartiles

29.5 Displaying Distributions

29.6 Normal Curves, Variance, and Standard Deviation

29.7 Reporting Descriptive Statistics

29.8 Confidence Intervals

29.9 Statistical Honesty

29.10 Statistical Consultants

CHAPTER 30 Comparative Statistics

30.1 Comparative Analysis by Study Approach

30.2 Hypotheses for Statistical Tests

30.3 Rejecting the Null Hypothesis

30.4 Interpreting p Values

30.5 Measures of Association

30.6 Interpreting Confidence Intervals

30.7 Selecting an Appropriate Test

30.8 Parametric and Nonparametric Tests

30.9 Comparing a Population Statistic to a Set Value

30.10 Comparing Independent Populations

30.11 Multivariable Comparisons of Means

30.12 Correlation Analysis

30.13 Comparing Paired Data

CHAPTER 31 Regression Analysis

31.1 Regression Modeling

31.2 Simple Linear Regression

31.3 Simple Logistic Regression

31.4 Dummy Variables

31.5 Confounding and Effect Modification

31.6 Multiple Regression

31.7 Causal Analysis

31.8 Survival Analysis

31.9 Cautions

CHAPTER 32 Qualitative Analysis

32.1 Overview

32.2 Analytic and Interpretive Frameworks

32.3 Codes, Categories, and Themes

32.4 Manual and Electronic Coding

32.5 Quality Assurance

CHAPTER 33 Additional Analysis Tools

33.1 Spatial Analysis

33.2 Bayesian Statistics

33.3 Mathematical Modeling

33.4 Agent-Based Modeling

33.5 Machine Learning

33.6 Cost-Effectiveness Analysis

33.7 Burden of Disease Metrics

STEP 5 Reporting Findings

CHAPTER 34 Posters and Presentations

34.1 Purpose of Conferences

34.2 Structure of Conferences

34.3 Writing an Abstract

34.4 Submitting an Abstract

34.5 Preparing a Poster

34.6 Using Images

34.7 Presenting a Poster

34.8 Preparing for an Oral Presentation

34.9 Giving an Oral Presentation

CHAPTER 35 Article Structure

35.1 Outlining a Manuscript

35.2 Abstract

35.3 Introduction

35.4 Methods

35.5 Results

35.6 Discussion

35.7 Writing Checklists

35.8 End Matter

35.9 Tables and Figures

CHAPTER 36 Citing

36.1 Referring to the Scientific Literature

36.2 Formal and Informal Sources

36.3 Writing in One’s Own Words

36.4 Common Knowledge and Specific Knowledge

36.5 Avoiding Plagiarism

36.6 Citation Styles

CHAPTER 37 Critically Revising

37.1 Clarifying the Storyline

37.2 One Paper, One Story

37.3 Structure and Content

37.4 Style, Clarity, and Consistency

CHAPTER 38 Writing Success Strategies

38.1 The Writing Process

38.2 Getting Started

38.3 Staying Motivated

38.4 Conquering Writer’s Block

38.5 Finishing a Manuscript

CHAPTER 39 Reasons to Publish

39.1 Scientific Dialogue

39.2 Critical Feedback

39.3 Respect for Participants and

Collaborators

39.4 Personal Benefits

CHAPTER 40 Selecting Target Journals

40.1 Choosing a Target Journal

40.2 Aim, Scope, and Audience

40.3 Impact Factors

40.4 Other Journal Characteristics

40.5 Open Access and Copyright

40.6 Publication Fees

40.7 Predatory Journals

CHAPTER 41 Manuscript Submission

41.1 Submission Timing

41.2 Journal Selection

41.3 Manuscript Formatting

41.4 Cover Letter

41.5 Online Submission

CHAPTER 42 Peer Review and Publication

42.1 Initial Review

42.2 External Review Results

42.3 Rejection

42.4 Revision and Resubmission

42.5 After Acceptance

Glossary Index

CHAPTER

1

The Health Research Process

Health research is the process of systematically investigating a single, welldefined aspect of physical, mental, or social well-being.

1.1 Clinical and Population Health Research

Health is defined by the World Health Organization as “a state of complete physical, mental, and social well-being, and not merely the absence of disease or infirmity.” Determinants of health are the biological, behavioral, social, environmental, political, and other factors that influence the health status of individuals and populations. Health research is the investigation of health and disease or any of the factors that contribute to the presence or absence of physical, mental, and social health among individuals, families, communities, nations, or the

world population as a whole. Health research encompasses both clinical research and population health research.

Medicine is the practice of preventing, diagnosing, and treating health problems in individuals and families. A clinician is a medical professional who provides direct care to patients or clients. Clinicians include physicians, surgeons, nurses, psychiatrists, physician assistants, midwives, registered dietitians, and other skilled professionals who work in medical settings as well as practitioners in dentistry, clinical psychology, podiatry, physical therapy, occupational therapy, pharmacy, optometry, kinesiology, rehabilitation, and other health-related fields. Clinical practice is contrasted with laboratory work and research that do not involve direct interaction with patients or clients.

Clinical research evaluates the best ways to prevent, diagnose, and treat adverse health issues that adversely affect individuals and families. For example, clinical research projects may examine the progression of a disease over time, compare the effectiveness of various therapeutic regimens, or test the safety and utility of new diagnostic tests, medications, or medical devices.

Clinical research generally uses humans as the unit of investigation, whereas basic medical research (also called basic science) studies molecules, genes, cells, and other smaller biological components related to human function and health.

Translational research bridges basic research and clinical research by applying scientific discoveries to the improvement of clinical outcomes. The aim of translational medicine is to move research from the bench (the laboratory) to the bedside (clinical care settings).

Population health focuses on the health outcomes and the determinants of health in groups of humans. Population health is a function of many factors, including human behaviors, the social and economic environment, the physical environment, access to healthcare services, and many other exposures. Public health consists of the actions taken to promote health and prevent illnesses, injuries, and early deaths at the population level. Public health practitioners monitor health status in communities, mitigate environmental hazards, provide health education, support community health partnerships, develop public health policies, enforce safety regulations, and ensure access to essential health services.

Population health research examines health outcomes at the community, regional, national, and worldwide levels. For example, public health researchers assess population needs and capacities; design, implement, and test population-based health interventions; and evaluate population-based health programs, projects, and policies. Both clinical and population health research studies apply the tools from a diversity of academic disciplines. Clinical research often draws on the tools of the laboratory sciences, such as molecular biology, microbiology, immunology, nutrition, and genetics. Population health research often uses tools from demography, the study of the size and composition of populations and of population dynamics, such as birth and death rates. Many clinical and population health research studies use the methods of social science fields such as psychology, sociology, anthropology, and economics.

1.2 The Research Process

Research is the process of systematically and carefully investigating a topic in order to discover new insights about the world. No matter what the

goals of a research project are or what methods are used to achieve those goals, the five steps of the research process are the same (Figure 1-1). The first two steps are identifying a study question and selecting a general study approach. These two steps are often completed concurrently, because the approach selected may require the refinement of the study question. After the objectives and the approach are set, the last three steps are designing the study and collecting data, analyzing the data, and reporting the findings. These steps apply to nearly every research project. A research project is not finished until all five steps have been completed.

FIGURE 1-1 The Research Process

1.3 Text Overview

This text is a handbook for clinical and population health researchers. The chapters are organized according to the five steps of the research process. The first section provides suggestions for selecting an appropriately focused research question and establishing good relationships with collaborators and mentors early in a project. The second section presents an overview of each of the main study designs used in the clinical and population health

sciences. The third section describes research ethics and the data collection process. The fourth section summarizes common strategies for quantitative and qualitative data analysis. The fifth section presents tips for writing success and a step-by-step guide for preparing a manuscript for review and publication. If the goal is to publish the findings of a study, it may be helpful to write throughout the research process. Thus, some readers may find it helpful to read some of the chapters from the fifth section of the text prior to finalizing their research plans. The best way to learn about health research is to do actual research and to learn firsthand how the research process works. This guidebook provides a comprehensive overview of the entire research process and details about the most common methods used in clinical and population health research. It is not intended to be a compendium of everything that health researchers know about study design, data collection, and statistical analysis. As a research project unfolds, most researchers will benefit from consulting specialized references. Many excellent books, journal articles, technical reports, and online and library resources contain the advanced information required for complex study

designs and analytic techniques. It is also essential for the consulted resources to include human experts professors, supervisors, colleagues, librarians, statistical consultants, and others—who can provide insights gained from personal research experience and can direct new investigators to the background readings and other information that will be most helpful as they explore their selected research questions.

Anyone who completes a novel, valid research project can contribute to advancing clinical and population health. Health research does not require a license. It does not require a doctorate or a master’s degree. It does not even require coursework in research methods, although that is certainly helpful. What research demands is perseverance and patience, honesty and integrity, carefulness and attention to detail, the willingness to learn new knowledge and develop new skills, openness to expert advice and feedback, and the ability to criticize and revise one’s own work and writing. These are personal character traits that everyone can cultivate and develop along with the technical skills required for research excellence. STEP 1

Identifying a Study Question

The first step in the research process is selecting the focus of the study. This section describes how to select a research question, review the literature, refine the scope of the project, and work with mentors and collaborators.

Selecting a research question

Reviewing the literature

Defining specific aims

Professional development

Coauthoring

CHAPTER 2

Selecting a Research Question

Selecting one focused study topic is the first step toward completing a successful research project.

2.1 Practical Research

Many research questions in the health sciences arise from observations made during applied practice.

Consider the types of questions that different health practitioners might raise about trampoline injuries:

An emergency room physician: “The trampoline injuries we’ve been seeing include a mix of limb fractures and head/neck trauma. Are the kids who present with trampoline-related arm fractures being screened for concussions? Are they being adequately treated for multiple injuries?”

A physical therapist: “It seems like a lot more of the patients coming in for therapy this year are recovering from trampoline-related injuries. Has the rate of injuries really increased, or am I just noticing them more? Should I be telling my patients not to use home trampolines?”

A health educator: “I’m working at a fitness center that offers trampoline workouts. Is this an effective way to improve cardiovascular fitness? What can we do to ensure the safety of our clients?”

Any of these questions might be worth exploring in a new research project, assuming that a review of the literature shows that there is not yet consensus about the answers to these questions. A good first step toward selecting a research topic is to think about the various questions about

health that have arisen from personal experiences, coursework, clinical or public health practice, and informal reading about subjects of interest (Figure 21). Practical questions about who, where, when, what, why, and how often point toward unmet demand for descriptive studies, needs assessments, program evaluations, clinical effectiveness studies, and other types of health-related research.

FIGURE 2-1 Brainstorming Questions

Area Questions

Interests What are my interests? What health-related conditions have significantly affected me, my family, my friends, my patients or clients, my community, and/or other populations that I care about?

Aptitudes What knowledge and skills do I already have? What topics am I prepared to study in depth? What methods am I prepared to apply? What methods am I eager to learn?

Applications What studies would help improve health-related practices or policies? What are the gaps in the literature

that I can fill?

Mentors What are the areas of expertise of my supervisors, professors, and/or other mentors? What source populations and/or data sources might be available to me through professors, supervisors, colleagues, and other personal and professional contacts?

2.2 Brainstorming and Concept Mapping

After thinking about the types of questions that have arisen from personal and professional experiences, the researcher can use a brainstorming session to convert those areas of interest into potential research themes. In this context, brainstorming is the process of generating long lists of spontaneous ideas about possible research questions. This is not the stage for eliminating ideas because they do not appear feasible. The ideas do not yet need to be well formed. The goal of brainstorming is to generate a lengthy list of possible topics. In addition to compiling one’s own ideas, it can be valuable to check with colleagues, practitioners, and friends about their thoughts. Internet searches, journals, and books

might reveal gaps in knowledge that are worth exploring. For example, many research articles end with a call for further research on a particular topic.

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