A probabilistic sampling method (PSM) for estimating geographic distance to health services when only the region of residence is known |
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| Authors: | Kirsten MM Beyer Audrey F Saftlas Anne B Wallis Corinne Peek-Asa Gerard Rushton |
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| Affiliation: | (1) Institute for Health and Society, Medical College of Wisconsin, 8701 Watertown Plank Road, 53226 Milwaukee, WI, USA;(2) Department of Epidemiology, University of Iowa, C-21M General Hospital, 52242 Iowa City, IA, USA;(3) Department of Occupational and Environmental Health, College of Public Health, University of Iowa, 100 Oakdale Campus #114 IREH, 52242 Iowa City, IA, USA;(4) Department of Geography, University of Iowa, 316 Jessup Hall, 52242 Iowa City, IA, USA |
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| Abstract: | Background The need to estimate the distance from an individual to a service provider is common in public health research. However, estimated distances are often imprecise and, we suspect, biased due to a lack of specific residential location data. In many cases, to protect subject confidentiality, data sets contain only a ZIP Code or a county. |
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