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Appraisal of Nursing Home Performance across the United States

Sunday, 26 July 2015: 1:35 PM

Huey-Shys Chen, PhD, RN, MCHES, FAAN
Department of Health Promotion, Outcomes, Systems, and Policy, College of Nursing, University of Toledo, Toledo, OH
Yue Zhang, PhD
Department of Information Operations & Technology Management, College of Business and Innovation, University of Toledo, Toledo, OH

Purpose:

 The purposes of this study are to evaluate the overall performance of nursing homes in the United State and to identify characteristics of nursing homes that have significant impacts on the performance.

Methods:

 This is a cross-sectional, secondary data analysis study design. Nursing Home Compare (NHC) of Medicare data set was used for this study. Data was collected during 2012-2013. It contains results for over 16,000 nursing homes in the U.S. After initial data cleaning and screening, a total of 9,622 nursing homes with completed data was selected for this study. Data Envelopment Analysis (DEA) and logistic regression techniques were used for data analysis.

Results:

Research results showed that only 30 institutions with efficiency score of 1 were rated efficient among 9,622 nursing homes. Results from regression analysis indicated that the number of certified beds in the facility, participating in both Medicare and Medicaid, for-profit nursing home, and belonging to a chain have significant impacts on nursing home performance.

Conclusion: The large majority of nursing homes in the United State are considered inefficient; however, study results developed empirical indicators of efficiency, which provided guidance for advancing the quality of care delivery in nursing home. Also, research results could provide policy makers valuable information to improve nursing home performance.

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