Handbook of health survey methods /

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A comprehensive guidebook to the currentmethodologies and practices used in health surveysA 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...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Otros Autores: Johnson, Timothy P. (Editor )
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Hoboken, New Jersey : Wiley, [2014]
Temas:
Health surveys > Methodology.
Health surveys > Statistical methods.
Health Surveys > methods
MEDICAL > Forensic Medicine.
MEDICAL > Preventive Medicine.
MEDICAL > Public Health.
Health surveys > Methodology
Health surveys > Statistical methods
Acceso en línea:Texto completo
Tabla de Contenidos:
  • 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
  • 25.6 Multiple Group Multiple Indicator Multiple Cause Models
  • 25.7 Additional Challenges to Health Survey Data Quality
  • 25.8 Overall Conclusion
  • References.

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