Literature DB >> 18454780

Has the Medicare prospective payment system led to increased nursing home efficiency?

Ning Jackie Zhang1, Lynn Unruh, Thomas T H Wan.   

Abstract

RESEARCH
OBJECTIVE: To assess the impact of recent Medicare prospective payment system (PPS) changes on efficiency in skilled nursing homes. DATA SOURCE/STUDY
SETTING: Medicare Cost Reports (MCR), On-line Survey Certification and Reporting System (OSCAR), Area Resource Files (ARF), a Centers for Medicare and Medicaid Services (CMS) hospital wage index website, a Consumer Price Index (CPI) database, and a survey of state Medicaid reimbursement rates. The sample was 8,361 nursing homes in the Medicare Cost Report databases from the years 1997 to 2003. STUDY
DESIGN: Data-envelopment analyses (DEA) calculated efficiency scores for three separate DEA models: unadjusted, acuity-adjusted, and acuity-and-quality-adjusted efficiency. The efficiency scores from these models were regressed on the Medicare PPS changes (the Balanced Budget Act [BBA], the Balanced Budget Refinement Act [BBRA] and the Benefits Improvement and Protection Act) and other organizational and market explanatory variables using a panel-data truncated regression. PRINCIPAL
FINDINGS: Mean values for all efficiency measures decreased over time, the acuity-quality-adjusted efficiency measures decreasing the most. All policy variables were significantly negatively related to all efficiency measures. Higher nurse staffing was negatively related to efficiency in all but the acuity-quality-adjusted model. Other explanatory variables varied in their relationships to the efficiency variables.
CONCLUSIONS: The results suggest that the reimbursement policy changes had a significantly negative impact on efficiency. Higher nurse staffing contributed to lower efficiency only when efficiency was not adjusted for quality. Various organizational and market factors also played significant roles in all efficiency models.

Entities:  

Mesh:

Year:  2008        PMID: 18454780      PMCID: PMC2442238          DOI: 10.1111/j.1475-6773.2007.00798.x

Source DB:  PubMed          Journal:  Health Serv Res        ISSN: 0017-9124            Impact factor:   3.402


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