Ontology highlight
ABSTRACT: Objective
To develop a measure of social deprivation that is associated with health care access and health outcomes at a novel geographic level, primary care service area.Data sources/study setting
Secondary analysis of data from the Dartmouth Atlas, AMA Masterfile, National Provider Identifier data, Small Area Health Insurance Estimates, American Community Survey, Area Resource File, and Behavioural Risk Factor Surveillance System. Data were aggregated to primary care service areas (PCSAs).Study design
Social deprivation variables were selected from literature review and international examples. Factor analysis was used. Correlation and multivariate analyses were conducted between index, health outcomes, and measures of health care access. The derived index was compared with poverty as a predictor of health outcomes.Data collection/extraction methods
Variables not available at the PCSA level were estimated at block level, then aggregated to PCSA level.Principal findings
Our social deprivation index is positively associated with poor access and poor health outcomes. This pattern holds in multivariate analyses controlling for other measures of access. A multidimensional measure of deprivation is more strongly associated with health outcomes than a measure of poverty alone.Conclusions
This geographic index has utility for identifying areas in need of assistance and is timely for revision of 35-year-old provider shortage and geographic underservice designation criteria used to allocate federal resources.
SUBMITTER: Butler DC
PROVIDER: S-EPMC3626349 | biostudies-literature | 2013 Apr
REPOSITORIES: biostudies-literature
Butler Danielle C DC Petterson Stephen S Phillips Robert L RL Bazemore Andrew W AW
Health services research 20120720 2 Pt 1
<h4>Objective</h4>To develop a measure of social deprivation that is associated with health care access and health outcomes at a novel geographic level, primary care service area.<h4>Data sources/study setting</h4>Secondary analysis of data from the Dartmouth Atlas, AMA Masterfile, National Provider Identifier data, Small Area Health Insurance Estimates, American Community Survey, Area Resource File, and Behavioural Risk Factor Surveillance System. Data were aggregated to primary care service ar ...[more]