Evidence map›Paper›PMID 36958786›Full record

ArticleBMJ open2023

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.

Qiaohui Wu, Linjian Wu, Xueqing Liang, Jun Xu, Weixuan Wu, Yunlian Xue

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Article in BMJ open, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

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11citing papers in PubMed
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1 · What the graph read from it

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3 · Its place in the literature

Who cites it

11 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Qiaohui WuNanfang Hospital, Southern Medical University, Guangzhou, China 13544492060@126.com 1565348147@qq.com.ORCID 0000-0003-3947-9453
Linjian WuGuangdong University of Petrochemical Technology, Maoming, China.
Xueqing LiangGuangzhou Institute of Respiratory Disease, Guangzhou, China.
Jun XuNanfang Hospital, Southern Medical University, Guangzhou, China 13544492060@126.com 1565348147@qq.com.
Weixuan WuNanfang Hospital, Southern Medical University, Guangzhou, China.ORCID 0000-0002-9987-5004
Yunlian XueGuangdong Provincial People's Hospital, Guangzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesTo 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.

designA longitudinal survey using 2017-2020 data, which were collected for analysis.

settingThe 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.

resultsThe 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.

conclusionsGuangdong 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.

Indexed as

COVID-19ChinaHealth ResourcesHumansLongitudinal StudiesResource AllocationRetrospective StudiesSocioeconomic FactorsCOVID-19health economicshealth policyhuman resource managementorganisation of health servicespublic health

Identifiers

PMID36958786
PMCPMC10039974

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