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Efficiency comparison of nursing homes: An application of Data Envelopment Analysis

Posted on:1991-07-02Degree:Ph.DType:Dissertation
University:The University of Alabama at BirminghamCandidate:Tseng, Mei-LingFull Text:PDF
GTID:1479390017450769Subject:Health Sciences
Abstract/Summary:
It has been observed that the demand for nursing home services is increasing as the population ages. Concomitantly, limited public funding for nursing home care has created a problem of access to quality nursing home care for those most in need of such services. Despite problems caused by a scarcity of nursing home care resources, little is known about the operational efficiency of the nursing home industry. Preeminent national long term care issues deserving research effort should therefore concern nursing home cost control, quality, access, operational efficiency, and a fair reimbursement scheme.; This study was designed to determine whether efficiency differences existed among nursing homes differentiated on the basis of ownership and regional variations. The data used in this study consisted of 167 nursing homes sampled from the 1985 National Nursing Home Survey (NHHS). Efficiency was defined as technical efficiency, or the total weighted output to total weighted input. A recently developed linear programming methodology called Data Envelopment Analysis (DEA) was used to describe the multiple-output-multiple-input characteristics of nursing home production. After controlling for the cost determinants of quality and patient severity, DEA technique was employed to produce estimates of the technical efficiency for each nursing home, and to pinpoint sources of inefficiency. Hypothesized determinants of nursing home efficiency were evaluated using regression analyses.; The findings of this study are consistent with the prediction of the nursing home behavioral model posited by Scanlon (1980), i.e., not-for-profit (NFP) nursing homes produced a greater number of patient days for a given level of input, than did proprietary nursing homes. When a separate production technology was assumed for NFP and proprietary nursing homes, and also for nursing homes located in each of four geographical regions, the results showed that NFP nursing homes and Western region nursing homes were technically more efficient than other nursing homes. Also observed was that NFP homes and the Central, Southern, and Western region homes had unique production frontiers which deviated from the national frontier. Occupancy rate was found to be the most important determinant of nursing home efficiency.
Keywords/Search Tags:Nursing home, Efficiency, Data envelopment analysis, Health sciences
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