Influencing factors of health resource allocation and utilisation before and after COVID-19 based on RIF-I-OLS decomposition method: a longitudinal retrospective study in Guangdong Province, China
Objectives To explore factors that influenced the health resource allocation and utilisation before and after COVID-19, and subsequently offer sensible recommendations for advancing the scientific distribution of health resources.Design A longitudinal survey using 2017–2020 data, which were collecte...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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BMJ Publishing Group
2023-03-01
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| Series: | BMJ Open |
| Online Access: | https://bmjopen.bmj.com/content/13/3/e065204.full |
| _version_ | 1827866701358694400 |
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| author | Jun Xu Yunlian Xue Weixuan Wu Qiaohui Wu Linjian Wu Xueqing Liang |
| author_facet | Jun Xu Yunlian Xue Weixuan Wu Qiaohui Wu Linjian Wu Xueqing Liang |
| author_sort | Jun Xu |
| collection | DOAJ |
| description | Objectives To explore factors that influenced the health resource allocation and utilisation before and after COVID-19, and subsequently offer sensible recommendations for advancing the scientific distribution of health resources.Design A longitudinal survey using 2017–2020 data, which were collected for analysis.Setting The study was conducted based on data collected from the Health Commission of Guangdong Province’s website.Outcome measures Eight health resource indicators and four health resource utilisation indicators were included in the factor analysis. Four indices were calculated to measure the inequality in health resource allocation and utilisation. We analysed factors for the inequality indices using the recentred influence function index ordinary least squares decomposition method.Results The health resource inequality indices peaked in 2020 (Gini coefficient (Gini): 0.578, Absolute Gini coefficient (AGini): 1.136, Concentration Index (CI): 0.417, Absolute CI (ACI): 0.821), whereas the health resource utilisation inequality indices declined year by year, thus reaching their lowest point in that same year. The majority of inequality indices in the annual change of health resource allocation were at their lowest in 2020 (Gini: −1.672, AGini: 0.046, CI: −0.189, ACI: 0.005), while the use of health resources declined dramatically, showing a negative growth trend. The inequality indices of health resource allocation and utilisation in 2020 were affected by a number of variables, including the COVID-19 level, (p<0.05), while the proportion of expenditure on public health was the most significant one.Conclusions Guangdong Province’s health resource allocation and utilisation were still concentrated in economically developed regions from 2017 to 2020. The health resource allocation inequality indices increased, especially under COVID-19, but the health resource utilisation inequality indices decreased. Measures should be taken to adjust the health resource allocation scientifically, which will fulfil the changing needs and the use of resources more efficiently. One effective measure is reasonably increasing the proportion of expenditure on public health. |
| first_indexed | 2024-03-12T15:08:11Z |
| format | Article |
| id | doaj.art-5a8e29da98104c398a82ab1767dbd251 |
| institution | Directory Open Access Journal |
| issn | 2044-6055 |
| language | English |
| last_indexed | 2024-03-12T15:08:11Z |
| publishDate | 2023-03-01 |
| publisher | BMJ Publishing Group |
| record_format | Article |
| series | BMJ Open |
| spelling | doaj.art-5a8e29da98104c398a82ab1767dbd2512023-08-12T03:35:08ZengBMJ Publishing GroupBMJ Open2044-60552023-03-0113310.1136/bmjopen-2022-065204Influencing factors of health resource allocation and utilisation before and after COVID-19 based on RIF-I-OLS decomposition method: a longitudinal retrospective study in Guangdong Province, ChinaJun Xu0Yunlian Xue1Weixuan Wu2Qiaohui Wu3Linjian Wu4Xueqing Liang5Nanfang Hospital, Southern Medical University, Guangzhou, ChinaGuangdong Provincial People’s Hospital, Guangzhou, ChinaNanfang Hospital, Southern Medical University, Guangzhou, ChinaNanfang Hospital, Southern Medical University, Guangzhou, ChinaGuangdong University of Petrochemical Technology, Maoming, ChinaGuangzhou Institute of Respiratory Disease, Guangzhou, ChinaObjectives To explore factors that influenced the health resource allocation and utilisation before and after COVID-19, and subsequently offer sensible recommendations for advancing the scientific distribution of health resources.Design A longitudinal survey using 2017–2020 data, which were collected for analysis.Setting The study was conducted based on data collected from the Health Commission of Guangdong Province’s website.Outcome measures Eight health resource indicators and four health resource utilisation indicators were included in the factor analysis. Four indices were calculated to measure the inequality in health resource allocation and utilisation. We analysed factors for the inequality indices using the recentred influence function index ordinary least squares decomposition method.Results The health resource inequality indices peaked in 2020 (Gini coefficient (Gini): 0.578, Absolute Gini coefficient (AGini): 1.136, Concentration Index (CI): 0.417, Absolute CI (ACI): 0.821), whereas the health resource utilisation inequality indices declined year by year, thus reaching their lowest point in that same year. The majority of inequality indices in the annual change of health resource allocation were at their lowest in 2020 (Gini: −1.672, AGini: 0.046, CI: −0.189, ACI: 0.005), while the use of health resources declined dramatically, showing a negative growth trend. The inequality indices of health resource allocation and utilisation in 2020 were affected by a number of variables, including the COVID-19 level, (p<0.05), while the proportion of expenditure on public health was the most significant one.Conclusions Guangdong Province’s health resource allocation and utilisation were still concentrated in economically developed regions from 2017 to 2020. The health resource allocation inequality indices increased, especially under COVID-19, but the health resource utilisation inequality indices decreased. Measures should be taken to adjust the health resource allocation scientifically, which will fulfil the changing needs and the use of resources more efficiently. One effective measure is reasonably increasing the proportion of expenditure on public health.https://bmjopen.bmj.com/content/13/3/e065204.full |
| spellingShingle | Jun Xu Yunlian Xue Weixuan Wu Qiaohui Wu Linjian Wu Xueqing Liang Influencing factors of health resource allocation and utilisation before and after COVID-19 based on RIF-I-OLS decomposition method: a longitudinal retrospective study in Guangdong Province, China BMJ Open |
| title | Influencing factors of health resource allocation and utilisation before and after COVID-19 based on RIF-I-OLS decomposition method: a longitudinal retrospective study in Guangdong Province, China |
| title_full | Influencing factors of health resource allocation and utilisation before and after COVID-19 based on RIF-I-OLS decomposition method: a longitudinal retrospective study in Guangdong Province, China |
| title_fullStr | Influencing factors of health resource allocation and utilisation before and after COVID-19 based on RIF-I-OLS decomposition method: a longitudinal retrospective study in Guangdong Province, China |
| title_full_unstemmed | Influencing factors of health resource allocation and utilisation before and after COVID-19 based on RIF-I-OLS decomposition method: a longitudinal retrospective study in Guangdong Province, China |
| title_short | Influencing factors of health resource allocation and utilisation before and after COVID-19 based on RIF-I-OLS decomposition method: a longitudinal retrospective study in Guangdong Province, China |
| title_sort | influencing factors of health resource allocation and utilisation before and after covid 19 based on rif i ols decomposition method a longitudinal retrospective study in guangdong province china |
| url | https://bmjopen.bmj.com/content/13/3/e065204.full |
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