Preventing Chronic Disease (Sep 2005)

Community-based Participatory Research in the California Health Interview Survey

  • E. Richard Brown, PhD,
  • Sue Holtby, MPH,
  • Elaine Zahnd, PhD,
  • George B. Abbott, MD, MPH

Journal volume & issue
Vol. 2, no. 4

Abstract

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Introduction The California Health Interview Survey, the largest state health survey in the United States, uses community-based participatory research principles to develop each cycle. Other large-scale health surveys rarely include participatory research approaches. Every 2 years, the California Health Interview Survey generates state and local population-based data on health insurance coverage, access to health care, chronic disease prevalence and management, health behaviors and disease prevention, and other health issues in California. The survey is used for policy and program development, advocacy, and research. Methods The development of the California Health Interview Survey involves more than 145 people from more than 60 state and local policymaking bodies, public health agencies, advocacy groups, research organizations, and health care organizations. They participate as volunteers in an advisory board, on technical advisory committees, and in work groups that interact with California Health Interview Survey research staff in an accountable advisory process that shapes survey topics, measures, and sample design and determines languages selected for translation. Survey results and data are provided to the communities involved in the survey. Results California Health Interview Survey data have been widely used by local, state, and national public health leaders, policymakers, advocates, and researchers to improve access to health insurance and health care services and to develop and target prevention programs for obesity and chronic illnesses. Conclusion The California Health Interview Survey participatory research model has been an effective approach to planning and implementing a health survey and should be considered by developers of other large health surveys.

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