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http://dx.doi.org/10.15207/JKCS.2021.12.7.273

Efficiency evaluation of nursing homes in China's eastern areas Based on DEA-Malmquist Model  

Chu, Ting (The School of Nursing, Zhejiang Chinese Medical University)
Sim, Jae-yeon (Dept. of Business Management, Sehan University)
Publication Information
Journal of the Korea Convergence Society / v.12, no.7, 2021 , pp. 273-282 More about this Journal
Abstract
Nursing home plays a role in providing elderly care in the context of China's rapid population aging, but little understanding of the efficiency of the nursing homes. In this paper, we investigated the efficiency in nursing homes using Data Envelopment Analysis (DEA) and Malmquist index (MPI) for the modeling of the number of nursing home beds, fixed assets, and medical personnel as input variables, and the number of elderly people of self-care, the number of elderly people of partial self-care, the number of bed-ridden elderly people and the income of nursing homes as output variables. Stratification analysis showed that the top two provinces in the DEA-CCR yield were Beijing and Shanghai in the five-year survey period. Four provinces (Beijing, Jiangsu, Shandong, and Shanghai) scored 1.00 in terms of DEA-BCC yield. The MPI analysis showed that Hainan ranked the highest five-year average in the included provinces. In terms of resource utilization, internal management, operation scale, and other aspects, the nursing homes in the provinces with high-efficiency evaluation results show high efficiency and technological progress, whereas the areas with low-efficiency evaluation showed a feature of the improving technical efficiency.
Keywords
Efficiency; Data envelopment analysis; Malmquist index; Nursing homes; China's eastern areas;
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  • Reference
1 G. Mu. (2000). The transformation and prospects of traditional Chinese old-age care methods. Journal of the Renmin University of China, 5, 39-44.
2 United Nations. (2015). World Population Outlook. http://esa.un.org/unpd/wpp/
3 X. Yang. (2018). An Empirical Analysis of the Efficiency of China's Elderly Service Industry and Its Influencing Factors. Zhejiang : Zhejiang Gongshang University.
4 Ministry of Civil Affairs of the People's Republic of China. (2020). 2019 China Civil Affairs Statistical Yearbook. http://www.mca.gov.cn/article/sj/
5 R. Bhat, B. B. Verma & E. Reuben. (2001). Data Envelopment Analysis (DEA). Journal of Health Management, 3(2), 309-328. https://doi.org/10.1177/097206340100300207   DOI
6 B. Hollingsworth, P. J. Dawson & N. Maniadakis. (1999). Efficiency measurement of health care: a review of nonparametric methods and applications. Health care management science, 2(3), 161-172. https://doi.org/10.1023/a:1019087828488   DOI
7 N. J. Zhang, L. Unruh & T. T. Wan. (2008). Has the Medicare prospective payment system led to increased nursing home efficiency?. Health services research, 43(3), 1043-1061. https://doi.org/10.1111/j.1475-6773.2007.00798.x   DOI
8 Y. Tian, S. Cui & S. Yang. (2018). Research on the implementation effect of support policies for elderly care institutions-Based on the survey and analysis of 45 elderly care institutions in Shandong Province. Journal of Shandong University (Philosophy and Social Sciences Edition), 3, 79-89. DOI:10.3969/j.issn.1001-9839.2018.03.009.   DOI
9 J. Fizel & T. Nunnikhoven. (1992). Technical Efficiency of For-Profit and Non-Profit Nursing Homes. Managerial and Decision Economics, 13(5), 429-439. Retrieved March 28, 2021. http://www.jstor.org/stable/2487777   DOI
10 G. Garavaglia, E. Lettieri, T. Agasisti & S. Lopez. (2011). Efficiency and quality of care in nursing homes: an Italian case study. Health care management science, 14(1), 22-35. https://doi.org/10.1007/s10729-010-9139-2   DOI
11 Y. Zhou & Z. Chai. (2015). Research on the Efficiency Evaluation of Ningbo Elderly Care Institutions. Journal of Ningbo University (Humanities Edition), 3, 79-84.
12 Ministry of Civil Affairs of the People's Republic of China. (2015-19). 2014-18 China Civil Affairs Statistical Yearbook. (in Chinese) http://www.mca.gov.cn/article/sj/
13 Ministry of Civil Affairs of the People's Republic of China. (2020). 2019 Statistical Bulletin of Civil Affairs Development. (in Chinese) http://www.mca.gov.cn/article/sj/tjgb/
14 Q. Wang. (2017). DEA method and resource allocation problem research. Beijing: China Social Sciences Press, p. 3-7.
15 J. Ren. (2016). A Study on the Efficiency of Institutional Elderly Care Service-Taking Xiamen City as an Example. Population and Economy, 2, 58-68.
16 T. Huang. (2017). Analysis on the Operational Efficiency of Ningbo Elderly Care Institutions. Zhejiang : Ningbo University.
17 Y. Zeng, L. Zhang, J. Yan & Y. Fang. (2019). Research on the Service Efficiency and Influencing Factors of Elderly Care Institutions in Xiamen City Based on DEA. Chinese Journal of Health Statistics, 36(1), 13-17. (in Chinese)
18 M. L. Lenard & D. G. Shimshak. (2009). Benchmarking nursing home performance at the state level. Health services management research, 22(2), 51-61. https://doi.org/10.1258/hsmr.2008.008006   DOI
19 N. G. Castle & J. C. Ferguson. (2010). What is nursing home quality and how is it measured?. The Gerontologist, 50(4), 426-442. https://doi.org/10.1093/geront/gnq052   DOI
20 National Development and Reform Commission of China. (2014). Notice on accelerating the construction of health and elderly services project. (in Chinese) https://www.ndrc.gov.cn/xxgk/zcfb/tz/201410/t20141010_964249.html
21 J. A. Nyman, D. L. Bricker & D. Link. (1990). Technical efficiency in nursing homes. Medical care, 28(6), 541-551. https://doi.org/10.1097/00005650-199006000-00006   DOI
22 A. Tran, K. H. Nguyen, L. Gray & T. Comans. (2019). A Systematic Literature Review of Efficiency Measurement in Nursing Homes. International journal of environmental research and public health, 16(12), 2186. https://doi.org/10.3390/ijerph16122186   DOI
23 Y. Zeng. (2010). Discussion on the Characteristics and Countermeasures of the "Two high Three big" of China's Population Aging. Population and Economy, 5, 3-9.
24 A. Min, C. G. Park & L. D. Scott. (2016). Evaluating Technical Efficiency of Nursing Care Using Data Envelopment Analysis and Multilevel Modeling. Western journal of nursing research, 38(11), 1489-1508. https://doi.org/10.1177/0193945916650199   DOI
25 M. D. Rosko, J. A. Chilingerian, J. S. Zinn & W. E. Aaronson. (1995). The effects of ownership, operating environment, and strategic choices on nursing home efficiency. Medical care, 33(10), 1001-1021. https://doi.org/10.1097/00005650-199510000-00003   DOI
26 I. K. Kleinsorge & D. F. Karney. (1992). Management of nursing homes using data envelopment analysis. Socio-economic planning sciences, 26(1), 57-71. https://doi.org/10.1016/0038-0121(92)90026-2   DOI
27 X. Wang. (2015). The status quo and future development models of nursing homes in China. Chinese market, 51, 175,178. DOI:10.13939/j.cnki.zgsc.2015.51.175. (in Chinese)   DOI
28 D. G. Shimshak, M. L. Lenard & R. K. Klimberg. (2009). Incorporating Quality into Data Envelopment Analysis of Nursing Home Performance: A Case Study. Omega, 37(3), 672-685. https://doi.org/10.1016/j.omega.2008.05.004   DOI
29 T. R. Sexton, A. M. Leiken, S. Sleeper & A. F. Coburn. (1989). The impact of prospective reimbursement on nursing home efficiency. Medical care, 27(2), 154-163. https://doi.org/10.1097/00005650-198902000-00006   DOI
30 Y. A. Ozcan, S. E. Wogen & L. W. Mau. (1998). Efficiency Evaluation of Skilled Nursing Facilities. Journal of Medical Systems, 22(4), 211-224.   DOI
31 P. Kooreman. (1994). Nursing home care in The Netherlands: a nonparametric efficiency analysis. Journal of health economics, 13(3), 301-346. https://doi.org/10.1016/0167-6296(94)90029-9   DOI
32 M. D. Masri & E. Z. Asbu. (2018). Productivity change of national health systems in the WHO Eastern Mediterranean region: application of DEA-based Malmquist productivity index. Global health research and policy, 3, 22. https://doi.org/10.1186/s41256-018-0077-8   DOI
33 R. Weech-Maldonado et al. (2019). High Medicaid nursing homes: Organizational and market factors associated with financial performance. INQUIRY: The Journal of Health Care Organization, Provision, and Financing, 56, 0046958018825061. https://doi.org/10.1177/0046958018825061   DOI
34 R. Dulal. (2018). Technical efficiency of nursing homes: do five-star quality ratings matter?. Health care management science, 21(3), 393-400. https://doi.org/10.1007/s10729-017-9392-8   DOI
35 M. A. Bjorkgren, U. Hakkinen & M. Linna. (2001). Measuring efficiency of long-term care units in Finland. Health care management science, 4(3), 193-200. https://doi.org/10.1023/a:1011444815466   DOI