Abstract

BackgroundEvidence-based public health requires the existence of reliable information systems for priority setting and evaluation of interventions. Existing data systems in the United States are either too crude (e.g., vital statistics), rely on administrative data (e.g., Medicare) or, because of their national scope (e.g., NHANES), lack the discriminatory power to assess specific needs and to evaluate community health activities at the state and local level. This manuscript describes the rationale and methods of the Survey of the Health of Wisconsin (SHOW), a novel infrastructure for population health research.Methods/DesignThe program consists of a series of independent annual surveys gathering health-related data on representative samples of state residents and communities. Two-stage cluster sampling is used to select households and recruit approximately 800-1,000 adult participants (21-74 years old) each year. Recruitment and initial interviews are done at the household; additional interviews and physical exams are conducted at permanent or mobile examination centers. Individual survey data include physical, mental, and oral health history, health literacy, demographics, behavioral, lifestyle, occupational, and household characteristics as well as health care access and utilization. The physical exam includes blood pressure, anthropometry, bioimpedance, spirometry, urine collection and blood draws. Serum, plasma, and buffy coats (for DNA extraction) are stored in a biorepository for future studies. Every household is geocoded for linkage with existing contextual data including community level measures of the social and physical environment; local neighborhood characteristics are also recorded using an audit tool. Participants are re-contacted bi-annually by phone for health history updates.DiscussionSHOW generates data to assess health disparities across state communities as well as trends on prevalence of health outcomes and determinants. SHOW also serves as a platform for ancillary epidemiologic studies and for studies to evaluate the effect of community-specific interventions. It addresses key gaps in our current data resources and increases capacity for etiologic, applied and translational population health research. It is hoped that this program will serve as a model to better support evidence-based public health, facilitate intervention evaluation research, and ultimately help improve health throughout the state and nation.

Highlights

  • Evidence-based public health requires the existence of reliable information systems for priority setting and evaluation of interventions

  • Survey of the Health of Wisconsin (SHOW) serves as a platform for ancillary epidemiologic studies and for studies to evaluate the effect of community-specific interventions

  • This paper describes the design of and rationale for the Survey of the Health of Wisconsin (SHOW), a novel statewide infrastructure for population health data collection that was established in Wisconsin in 2008

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Summary

Discussion

SHOW’s research infrastructure is grounded in a broad population health framework that focuses both on upstream macro- and micro-level health determinants and health outcomes [1,2]. SHOW is population-based (not based on clinical populations) and provides a mechanism to collect both subjective (e.g., self-reported history, psychosocial stress, behaviors) and objective individual data (e.g., biological markers, body mass index, blood pressure) This breadth of data collection coupled with contextual communitylevel data allows for high quality and innovative investigations prospectively exploring interactions between determinants at multiple levels. The before and after intervention comparison, coupled with the ongoing annual surveys elsewhere in other communities in the state (control communities), will allow an efficient and robust assessment of the effects of the intervention and advance the evidence-based public health agenda Another important component of SHOW is dissemination of data and findings in academic settings and at the community level.

Background
Methods/Design
Findings
Kish L: Survey Sampling New York
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