Combining National Health Interview Survey (NHIS) and Census Data to Estimate Healthcare Access Deprivation Index for Small Neighborhood Areas in US: A Multilevel Approach
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Andrew Bazemore, The Robert Graham Center: Policy Studies in Family Medicine and Primary Care
Martey Dodoo, The Robert Graham Center: Policy Studies in Family Medicine and Primary Care
Stephen Petterson, The Robert Graham Center: Policy Studies in Family Medicine and Primary Care
Robert Phillips, The Robert Graham Center: Policy Studies in Family Medicine and Primary Care
*Xingyou Zhang, The Robert Graham Center: Policy Studies in Family Medicine and Primary Care
Keywords: NHIS, Multilevel Analysis, Small Area Estimation, GIS
Small area estimates of health risk factors and outcomes are essential in public health surveillance and policy research. National health surveys are often designed and used to estimate health outcomes for specific populations or for large geographic areas. However, they often have limited geographic coverage and lack adequate sample size. The US census has full geographic coverage and substantive data for small areas. This study combines data from the 2001-2005 National Health Interview Surveys (NHIS) and the 2000 Census to derive a health care access deprivation index for local neighborhoods. Using a multilevel binomial logistic model and incorporating both weighted individual and census data we estimate a census tract-level access deprivation index which is mapped. The maps include overlays of available primary care providers (physicians and community health centers).
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