Handbook of Health Survey Methods

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. Timothy P. Johnson, PhD , is Director of the Survey Research Laboratory and Professor of Public Administration at the University of Illinois at Chicago (UIC), where he is also Research Professor of Epidemiology and Deputy Director for Evaluation and Tracking of the UIC Center for Clinical and Translational Research. The author of numerous journal articles, Dr. Johnson is Coeditor of Survey Methods in Multicultural, Multinational, and Multiregional Contexts , also published by Wiley.

Preface Acknowledgements 1. Origins and Development of Health Survey Methods Timothy P. Johnson, University of Illinois at Chicago Design & Sampling Issues 2. Sampling for community health surveys Mikael Battaglia, Battaglia Consulting Group, LLC 3. Developing a survey sample design for population–based case–control studies Ralph DiGaetano, Westat 4. Sampling rare populations James Wagner & Sunghee Lee, University of Michigan Design & Measurement Issues 5. Assessing physical health Todd Rockwood, University of Minnesota 6. Developing and selecting mental health measures Ronald Kessler, Harvard & Beth–Ellen Pennell, University of Michigan 7. Developing measures of health behavior & health service utilization Paul Beatty, National Center for Health Statistics 8. Self–rated health in health surveys Sunghee Lee, University of Michigan 9. Pretesting of health survey questionnaires: Cognitive interviewing, usability testing, and behavior coding Gordon Willis, National Cancer Institute 10. Cross–cultural considerations in health surveys Brad Edwards, Westat 11. Survey methods for social network research Ben Cornwell and Emily Hoagland, Cornell University 12. New technologies for health survey research Joe Murphy, Elizabeth Dean, Craig A. Hill & Ashley Richards, RTI International Field Issues 13. Community outreach and collaboration Steven Whitman, Sinai Urban Health Institute, Ami Shah, UCLA, Mauren Benjamins and Joseph West, Sinai Urban Health Institute 14. Proxy reporting in health surveys Joe Sakshaug, Institute for Employment Research, Nuremberg, Germany 15. The collection of biospecimens in health surveys Joesph Sakshaug, Institute for Employment Research, Nuremberg, Germany, Mary Beth Ofstedal, Heidi Guyer, University of Michigan & Timothy Beebe, Mayo Clinic 16. Collecting contextual health survey data using systematic observation Shannon Zenk, Sandy Slater & Safa Rashid, University of Illinois at Chicago 17. Collecting survey data on sensitive topics: substance use Joe Gforerer and Joel Kennet, Substance Abuse and Mental Health Services Administration 18. Collecting survey data on sensitive topics: sexual behavior Tom W. Smith, NORC at the University of Chicago 19. Ethical considerations in collecting health survey data Emily E. Anderson, Loyola University Health Surveys of Special Populations 20. Surveys of physicians Jonathan B. VanGeest, Kent State University, Timothy Beebe, Mayo Clinic, & Timothy P. Johnson, University of Illinois at Chicago 21. Surveys of health care organizations John D. Loft, Joe Murphy & Craig A. Hill, RTI International 22. Surveys of patient populations Francis Fullam, Rush University Medical Center & Jonathan B. VanGeest, Kent State University 23. Surveying sexual and gender minorities Melissa A. Clark, Brown University, Samantha Rosenthal, Brown University, and Ulrike Boehmer, Boston University 24. Surveying people with disabilities: Moving towards better practices and policies Rooshey Hasnain, University of Illinois at Chicago, Mike Scott, Illinois Dept. of Human Services, Carmit–Noa Shpigelman, University of Haifa, Israel, Jon R. Gunderson, Hadi Bargi Rangin, University of Illinois at Urbana/Champaign, Ashmeet Oberoi, University of Illinois at Chicago, and Liam McKeever, University of Illinois at Urbana/Champaign Data Management & Analysis 25. Assessing the quality of health survey data through modern test theory Adam C. Carle, University of Cincinnati 26. Sample weighting for health surveys Ken Copeland, and Nadarajasundaram Ganesh, NORC at University of Chicago 27. Merging survey data with administrative data for health research Michael Davern, NORC at the University of Chicago, Marc Roemer, US Census Bureau, and Wendy Thomas, University of Minnesota 28. Merging survey data with aggregate data from other sources: Opportunities and challenges Jarvis T. Chen, Harvard University 29. Analysis of complex health survey data Stas Kolenikov, Abt SRBI and Jeff Pitblado, Stata

  Timothy P. Johnson, PhD , is Director of the Survey Research Laboratory and Professor of Public Administration at the University of Illinois at Chicago (UIC), where he is also Research Professor of Epidemiology and Deputy Director for Evaluation and Tracking of the UIC Center for Clinical and Translational Research. The author of numerous journal articles, Dr. Johnson is Coeditor of Survey Methods in Multicultural, Multinational, and Multiregional Contexts , also published by Wiley.