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A comprehensive guidebook to the current methodologies and practices used in health surveys A unique and self-contained resource, Handbook of Health Survey Methods presents techniques necessary for confronting challenges that are specific to health survey research. The handbook guides readers through the development of sample designs, data collection procedures, and analytic methods for studies aimed at gathering health information on general and targeted populations. The book is organized into five well-defined sections: Design and Sampling Issues, Measurement Issues, Field Issues, Health Surveys of Special Populations, and Data Management and Analysis. Maintaining an easy-to-follow format, each chapter begins with an introduction, followed by an overview of the main concepts, theories, and applications associated with each topic. Finally, each chapter provides connections to relevant online resources for additional study and reference. The Handbook of Health Survey Methods features: * 29 methodological chapters written by highly qualified experts in academia, research, and industry * A treatment of the best statistical practices and specific methodologies for collecting data from special populations such as sexual minorities, persons with disabilities, patients, and practitioners * Discussions on issues specific to health research including developing physical health and mental health measures, collecting information on sensitive topics, sampling for clinical trials, collecting biospecimens, working with proxy respondents, and linking health data to administrative and other external data sources * Numerous real-world examples from the latest research in the fields of public health, biomedicine, and health psychology Handbook of Health Survey Methods is an ideal reference for academics, researchers, and practitioners who apply survey methods and analyze data in the fields of biomedicine, public health, epidemiology, and biostatistics. The handbook is also a useful supplement for upper-undergraduate and graduate-level courses on survey methodology.
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Seitenzahl: 1697
Veröffentlichungsjahr: 2014
Cover
Series
Title Page
Copyright
List of Contributors
Preface
Acknowledgments
Chapter One: Origins and Development of Health Survey Methods
1.1 Introduction
1.2 Precursors of Modern Health Surveys
1.3 The First Modern Health Surveys
1.4 The Emergence of National Health Surveys
1.5 Post-WWII Advances
1.6 Current Developments
References
Online Resources
Part One: Design and Sampling Issues
Chapter Two: Sampling For Community Health Surveys
2.1 Introduction
2.2 Background
2.3 Theory and Applications
2.4 Subpopulation Surveys
2.5 Sample Size Considerations
2.6 Summary
References
Online Resources
Chapter Three: Developing a Survey Sample Design for Population-Based Case–Control Studies
3.1 Introduction
3.2 A “Classic” Sample Design for a Population-Based Case–Control Study
3.3 Sample Design Concepts and Issues Related to Case–Control Studies
3.4 Basic Sample Design Considerations
3.5 Sample Selection of Cases
3.6 Sample Selection of Controls
3.7 Sample Weighting for Population-Based Case–Control Studies
3.8 The Need to Account for Analytic Plans When Developing a Sample Design: An Example
3.9 Sample Designs for Population-Based Case–Control Studies: When Unweighted Analyses Are Planned
3.10 Mimicking the Classic Design Using RDD-Based Sampling of Population-Based Controls
3.11 Examples of the Development of Complex Sample Designs for Population-Based Case–Control Studies Using Weighted Analyses Where Cases Serve as the Reference Population and Variance Estimates Reflect the Sample Design
3.12 Summary
References
Online Resources
Chapter Four: Sampling Rare Populations
4.1 Introduction
4.2 Traditional Probability Sampling Approaches
4.3 Nontraditional and Nonprobability Sampling Approaches
4.4 Conclusion
References
Online Resources
Part Two: Design and Measurement Issues
Chapter Five: Assessing Physical Health
5.1 Introduction
5.2 Assessing Health: Response Formation and Accuracy
5.3 Conceptual Framework for Developing and Assessing Health
5.4 Measurement Theory
5.5 Error and Methodology
5.6 Conclusion
References
Online Resources
Chapter Six: Developing and Selecting Mental Health Measures
6.1 Introduction
6.2 Historical Background
6.3 Fully Structured Diagnostic Interviews
6.4 Dimensional Measures of Symptom Severity
6.5 Emerging Issues in Survey Assessments of Mental Disorders
6.6 Conclusion
References
Online Resources
Chapter Seven: Developing Measures of Health Behavior and Health Service Utilization
7.1 Introduction
7.2 The Conceptual Phase of Questionnaire Development
7.3 Development of Particular Questions
7.4 Overall Questionnaire Construction
7.5 Questionnaire Testing and Evaluation
7.6 Using Questions from Previously Administered Questionnaires
7.7 Conclusion
References
Online Resources
Chapter Eight: Self-Rated Health in Health Surveys
8.1 Introduction
8.2 Utility of Self-Rated Health
8.3 Theoretical Evidence: Cognitive Processes Pertinent to Responding to SRH in Surveys
8.4 Measurement Issues for Self-Rated Health
8.5 Conclusion
References
Online Resources
Chapter Nine: Pretesting of Health Survey Questionnaires: Cognitive Interviewing, Usability Testing, and Behavior Coding
9.1 Introduction
9.2 Historical Background and Theory of Pretesting
9.3 Cognitive Interviewing
9.4 Usability Testing
9.5 Behavior Coding
9.6 Summary
References
Online Resources
Chapter Ten: Cross-Cultural Considerations in Health Surveys
10.1 Introduction
10.2 Theory and Practice
10.3 Conclusion
References
Online Resources
Chapter Eleven: Survey Methods for Social Network Research
11.1 Introduction
11.2 Respondents as Social Network Informants
11.3 Whole, Egocentric, and Mixed Designs
11.4 Name Generators
11.5 Free Versus Fixed Choice
11.6 Name Interpreters
11.7 Social Network Measures
11.8 Other Approaches to Collecting Network-Like Data
11.9 Modes of Data Collection and Survey Logistics
11.10 Avoiding Endogeneity in Survey-Based Network Data
11.11 Selection Issues
11.12 New Directions: Measuring Social Network Dynamics
11.13 Further Reading
Acknowledgments
References
Online Resources
Chapter Twelve: New Technologies for Health Survey Research
12.1 Introduction
12.2 Background
12.3 Theory and Applications
12.4 Summary
References
Online Resources
Part Three: Field Issues
Chapter Thirteen: Using Survey Data to Improve Health: Community Outreach and Collaboration
13.1 Introduction
13.2 Our Motivation
13.3 Our Process
13.4 A Few Findings
13.5 Case Studies of Community Engagement
13.6 Some Lessons Learned
Acknowledgments
References
Online Resources
Chapter fourteen: Proxy Reporting in Health Surveys
14.1 Introduction
14.2 Background
14.3 Proxy Interviews for Children
14.4 Proxy Interviews for the Elderly
14.5 Proxy Interviews for the Disabled
14.6 Summary
References
Online Resources
Chapter fifteen: The Collection of Biospecimens in Health Surveys
15.1 Introduction
15.2 Background
15.3 Biomeasure Selection
15.4 Methodological and Operational Considerations
15.5 Quality Control
15.6 Ethical and Legal Considerations
15.7 Methods of Data Dissemination
15.8 Summary
Acknowledgments
References
Online Resources
Chapter Sixteen: Collecting Contextual Health Survey Data Using Systematic Observation
16.1 Introduction
16.2 Background
16.3 Data Collection
16.4 Reliability and Validity Assessment
16.5 Data Analysis
16.6 Theory and Applications
16.7 BTG-COMP: Evaluating the Impact of the Built Environment on Adolescent Obesity
16.8 Evaluating the Impact of a Policy Change on the Retail Fruit and Vegetable Supply
16.9 Summary
Acknowledgments
References
Online Resources
Chapter Seventeen: Collecting Survey Data on Sensitive Topics: Substance Use
17.1 Introduction
17.2 Background
17.3 Theory and Applications
17.4 Validation
17.5 Alternative Estimation Methods
17.6 Summary
References
Online Resources
Chapter Eighteen: Collecting Survey Data on Sensitive Topics: Sexual Behavior
18.1 Introduction
18.2 Sampling
18.3 Nonobservation
18.4 Observation/Measurement Error
18.5 Summary
References
Online Resources
Chapter Nineteen: Ethical Considerations in Collecting Health Survey Data
19.1 Introduction
19.2 Background: Ethical Principles and Federal Regulations for Research
19.3 Defining, Evaluating, and Minimizing Risk
19.4 Ethical Review of Health Survey Research
19.5 Informed Consent for Survey Participation
19.6 Considerations for Data Collection
19.7 Summary
References
Online Resources
Part Four: Health Surveys of Special Populations
Chapter Twenty: Surveys of Physicians
20.1 Introduction
20.2 Why Physicians do not Respond
20.3 Theory and Applications: Improving Physician Participation
20.4 Sampling
20.5 Design-Based Interventions to Improve Response
20.6 Incentive-Based Interventions
20.7 Supporting Evidence from Other Health Professions
20.8 Conclusion
References
Online Resources
Chapter Twenty One: Surveys of Health Care Organizations
21.1 Introduction
21.2 Examples of Health Care Organizations Surveys
21.3 Surveys of Health Care Organizations as Establishment Surveys
21.4 Conclusions
References
Online Resources
Chapter Twenty Two: Surveys of Patient Populations
22.1 Introduction
22.2 Patients and Care Settings
22.3 Overview of Common Patient Survey Methodologies
22.4 Key Issues in Patient Survey Design and Administration
22.5 Strategies for Developing Effective Patient Surveys
22.6 Conclusion
References
Online Resources
Chapter Twenty Three: Surveying Sexual and Gender Minorities
23.1 Introduction
23.2 Prevalence Estimates of Sexual and Gender Minorities
23.3 Sampling and Recruitment
23.4 Data Collection
23.5 Conclusions
References
Online Resources
Chapter Twenty Four: Surveying People with Disabilities: Moving Toward Better Practices and Policies
24.1 Introduction
24.2 Setting a Foundation: The Importance of Inclusion for Web-Based Surveys
24.3 Promoting Participation with Web Accessibility
24.4 Testing the Accessibility of Some Web-Based Survey Tools
24.5 Ensuring Web Accessibility at Various Levels of Disability
24.6 Problems Posed By Inaccessible Web-Based Surveys for People with Disabilities
24.7 Applications: How to Ensure that Web-Based Surveys are Accessible
24.8 Summary and Conclusions
References
Online Resources
Part Five: Data Management and Analysis
Chapter Twenty Five: Assessing the Quality of Health Survey Data Through Modern Test Theory
25.1 Introduction
25.2 Internal Validity and Dimensionality
25.3 Dimensionality and Bifactor Model Example
25.4 Dimensionality Discussion
25.5 Measurement Bias
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