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Managed care and organizational influences on hospitalist program adoption
Abstract:
Hospitalists help improve healthcare efficiency, but less is known about the factors that influence hospitals to utilize hospitalists. The purpose of this research was to investigate the influence of managed care and hospital case mix on hospitalist program adoption in general hospitals. Maximum likelihood estimation was used to estimate a nonlinear binary response model to predict hospitalist program adoption. Hospital case mix was positively and significantly associated with the adoption of a hospitalist program while health maintenance organization market share was negatively related to hospitalist program adoption. Managers may want to consider these factors when planning to adopt a hospitalist program.
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