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ABSTRACT: Objective
To explore predictors of gaps between observed and best possible Hospital Compare scores in U.S. hospitals.Data sources
American Hospital Association Annual Survey; Area Resource Files; Centers for Medicare and Medicaid Services Medicare Provider and Analysis Review; and Hospital Compare data.Study design
Using Stochastic Frontier Analysis and secondary cross-sectional data, gaps between the best possible and actual scores of Hospital Compare quality measures were estimated. Poisson regressions were used to ascertain financial, organizational, and market predictors of those gaps.Data extraction
Data were cleaned and matched based on hospital Medicare IDs. All U.S. hospitals that matched on analysis variables in 2007 were in the study (1,823-2,747,
SUBMITTER: Unruh L
PROVIDER: S-EPMC5134134 | biostudies-literature | 2016 Dec
REPOSITORIES: biostudies-literature