F. Javier Nieto|Paul E. Peppard|Corinne D. Engelman|Jane A. McElroy|Loren W. Galvão|Elliot Friedman|Andrew J. Bersch|Kristen Malecki
The Survey of the Health of Wisconsin (SHOW), a novel infrastructure for population health research: rationale and methods
University of Wisconsin–Madison|University of Wisconsin–Madison|University of Wisconsin–Madison|University of Missouri|University of Wisconsin–Madison|University of Wisconsin–Madison|University of Wisconsin–Madison|University of Wisconsin–Madison
evidencebased public health requires existence reliable information systems priority setting evaluation interventions existing data systems united states either crude eg vital statistics rely administrative data eg medicare national scope eg nhanes lack discriminatory power assess specific needs evaluate community health activities state local level manuscript describes rationale methods survey health wisconsin show novel infrastructure population health researchthe program consists series independent annual surveys gathering healthrelated data representative samples state residents communities twostage cluster sampling used select households recruit approximately 8001000 adult participants 2174 years old year recruitment initial interviews done household additional interviews physical exams conducted permanent mobile examination centers individual survey data include physical mental oral health history health literacy demographics behavioral lifestyle occupational household characteristics well health care access utilization physical exam includes blood pressure anthropometry bioimpedance spirometry urine collection blood draws serum plasma buffy coats dna extraction stored biorepository future studies every household geocoded linkage existing contextual data including community level measures social physical environment local neighborhood characteristics also recorded using audit tool participants recontacted biannually phone health history updatesshow generates data assess health disparities across state communities well trends prevalence health outcomes determinants show also serves platform ancillary epidemiologic studies studies evaluate effect communityspecific interventions addresses key gaps current data resources increases capacity etiologic applied translational population health research hoped program serve model better support evidencebased public health facilitate intervention evaluation research ultimately help improve health throughout state nation