Introduction to Health Research Methods: A Practical Guide

Höfundur: Kathryn H. Jacobsen (Útgáfa: 3)
Introduction to Health Research Methods:  A Practical Guide

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Designed to empower new investigators to conduct their own original research projects, the third edition of Introduction to Health Research Methods: A Practical Guide leads the reader step-by-step in performing quantitative and qualitative research in medicine, public health, and other clinical and population health fields. This comprehensive text covers the entire research process from formulating a study question and selecting a study approach to collecting and analyzing data and then disseminating the findings.

Chapters about methods for primary studies (collecting new data), secondary analyses (analyzing existing data), and tertiary studies (conducting literature reviews and meta-analyses) provide complete coverage of the scope of health research. By breaking the research process down into a series of achievable steps, this practical guide shows readers how they can contribute to improving the health of individuals and communities through research.

Nánar um bókina

Útgefandi
Jones & Bartlett Learning
ISBN
9781284211061
Print ISBN
9781284197563
Format
ePub
Útgáfa
3
Höfundar
Kathryn H. Jacobsen
Tungumál
English
Útgefið
2020-02-06
Prent takmörkun á líftíma
100
Prent takmörkun
30
Afritunar takmörkun
10

Kaflar

  • Cover Page
  • Title Page
  • Copyright Page
  • Brief Contents
  • Contents
  • 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
  • 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
  • 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
  • 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 Meta-analyses
  • 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
  • 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
  • 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