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Equity and efficiency of health care resource allocation in Jiangsu Province, China
BACKGROUND: Jiangsu was one of the first four pilot provinces to engage in comprehensive health care reform in China, which has been on-going for the past 5 years. This study aims to evaluate the equity, efficiency and productivity of health care resource allocation in Jiangsu Province using the mos...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7694921/ https://www.ncbi.nlm.nih.gov/pubmed/33246458 http://dx.doi.org/10.1186/s12939-020-01320-2 |
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author | Li, Qian Wei, Jianjun Jiang, Fengchang Zhou, Guixiang Jiang, Rilei Chen, Meijuan Zhang, Xu Hu, Wanjin |
author_facet | Li, Qian Wei, Jianjun Jiang, Fengchang Zhou, Guixiang Jiang, Rilei Chen, Meijuan Zhang, Xu Hu, Wanjin |
author_sort | Li, Qian |
collection | PubMed |
description | BACKGROUND: Jiangsu was one of the first four pilot provinces to engage in comprehensive health care reform in China, which has been on-going for the past 5 years. This study aims to evaluate the equity, efficiency and productivity of health care resource allocation in Jiangsu Province using the most recent data, analyse the causes of deficiencies, and discuss measures to solve these problems. METHODS: Data were extracted from the Jiangsu Health/Family Planning Statistical Yearbook (2015–2019) and Jiangsu Statistical Yearbook (2015–2019). The Gini coefficient (G), Theil index (T) and health resource density index (HRDI) were chosen to study the fairness of health resource allocation in Jiangsu Province. Data envelopment analysis (DEA) and the Malmquist productivity index (MPI) were used to analyse the efficiency and productivity of this allocation. RESULTS: From 2014 to 2018, the total amount of health resources in Jiangsu Province increased. The G of primary resource allocation by population remained below 0.15, and that by geographical area was between 0.14 and 0.28; additionally, the G of health financial resources was below 0.26, and that by geographical area was above 0.39. T was consistent with the results for G and Lorenz curves. The HRDI shows that the allocated amounts of health care resources were the highest in southern Jiangsu, except for the number of health institutions. The average value of TE was above 0.93, and the DEA results were invalid for only two cities. From 2014 to 2018, the mean TFPC in Jiangsu was less than 1, and the values exceeded 1 for only five cities. CONCLUSION: The equity of basic medical resources was better than that of financial resources, and the equity of geographical allocation was better than that of population allocation. The overall efficiency of health care resource allocation was high; however, the total factor productivity of the whole province has declined due to technological regression. Jiangsu Province needs to further optimize the allocation and increase the utilization efficiency of health care resources. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12939-020-01320-2. |
format | Online Article Text |
id | pubmed-7694921 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-76949212020-11-30 Equity and efficiency of health care resource allocation in Jiangsu Province, China Li, Qian Wei, Jianjun Jiang, Fengchang Zhou, Guixiang Jiang, Rilei Chen, Meijuan Zhang, Xu Hu, Wanjin Int J Equity Health Research BACKGROUND: Jiangsu was one of the first four pilot provinces to engage in comprehensive health care reform in China, which has been on-going for the past 5 years. This study aims to evaluate the equity, efficiency and productivity of health care resource allocation in Jiangsu Province using the most recent data, analyse the causes of deficiencies, and discuss measures to solve these problems. METHODS: Data were extracted from the Jiangsu Health/Family Planning Statistical Yearbook (2015–2019) and Jiangsu Statistical Yearbook (2015–2019). The Gini coefficient (G), Theil index (T) and health resource density index (HRDI) were chosen to study the fairness of health resource allocation in Jiangsu Province. Data envelopment analysis (DEA) and the Malmquist productivity index (MPI) were used to analyse the efficiency and productivity of this allocation. RESULTS: From 2014 to 2018, the total amount of health resources in Jiangsu Province increased. The G of primary resource allocation by population remained below 0.15, and that by geographical area was between 0.14 and 0.28; additionally, the G of health financial resources was below 0.26, and that by geographical area was above 0.39. T was consistent with the results for G and Lorenz curves. The HRDI shows that the allocated amounts of health care resources were the highest in southern Jiangsu, except for the number of health institutions. The average value of TE was above 0.93, and the DEA results were invalid for only two cities. From 2014 to 2018, the mean TFPC in Jiangsu was less than 1, and the values exceeded 1 for only five cities. CONCLUSION: The equity of basic medical resources was better than that of financial resources, and the equity of geographical allocation was better than that of population allocation. The overall efficiency of health care resource allocation was high; however, the total factor productivity of the whole province has declined due to technological regression. Jiangsu Province needs to further optimize the allocation and increase the utilization efficiency of health care resources. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12939-020-01320-2. BioMed Central 2020-11-27 /pmc/articles/PMC7694921/ /pubmed/33246458 http://dx.doi.org/10.1186/s12939-020-01320-2 Text en © The Author(s) 2020 Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Li, Qian Wei, Jianjun Jiang, Fengchang Zhou, Guixiang Jiang, Rilei Chen, Meijuan Zhang, Xu Hu, Wanjin Equity and efficiency of health care resource allocation in Jiangsu Province, China |
title | Equity and efficiency of health care resource allocation in Jiangsu Province, China |
title_full | Equity and efficiency of health care resource allocation in Jiangsu Province, China |
title_fullStr | Equity and efficiency of health care resource allocation in Jiangsu Province, China |
title_full_unstemmed | Equity and efficiency of health care resource allocation in Jiangsu Province, China |
title_short | Equity and efficiency of health care resource allocation in Jiangsu Province, China |
title_sort | equity and efficiency of health care resource allocation in jiangsu province, china |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7694921/ https://www.ncbi.nlm.nih.gov/pubmed/33246458 http://dx.doi.org/10.1186/s12939-020-01320-2 |
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