Evidence map›Paper›PMID 34903184›Full record

ArticleBMC public health2021

Ten years of China's new healthcare reform: a longitudinal study on changes in health resources.

Jiang Chen, Zhuochen Lin, Li-An Li, Jing Li, Yuyao Wang, Yu Pan, Jie Yang, Chuncong Xu, Xiaojing Zeng, Xiaoxu Xie and 1 more

Abstract read
In one paragraph

Article in BMC public health, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 66 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
66citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

66 citing papers in PubMed, 1 synthesis or guideline pooled it.

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6 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors.

Jiang Chen *Department of Medical Affairs, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China.
Zhuochen Lin *Department of Medical Affairs, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China.
Li-An LiDepartment of Medical Affairs, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China.
Jing LiDepartment of Medical Affairs, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China.
Yuyao WangDepartment of Medical Affairs, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China.
Yu PanDepartment of Medical Affairs, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China.
Jie YangDepartment of Medical Affairs, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China.
Chuncong XuDepartment of Medical Affairs, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China.
Xiaojing ZengDepartment of Medical Affairs, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China.
Xiaoxu Xie *School of Public Health, Fujian Medical University, Fuzhou, China. xiexiaoxu@aliyun.com.
Liangcheng Xiao *Department of Medical Affairs, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China. xiaolch@mail.sysu.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundChina launched a new round of healthcare-system reform in 2009 and proposed the goal of equal and guaranteed essential medical and health services for all by 2020. We aimed to investigate the changes in China's health resources over the past ten years after the healthcare reform.

methodsData were collected from the China Statistical Yearbook and China Health Statistics Yearbook from 2009 to 2018. Four categories and ten indicators of health resources were analyzed. A descriptive analysis was used to present the overall condition. The Health Resource Density Index was applied to showcase health-resource distribution in demographic and geographic dimensions. The global and local Moran's I were used to assess the spatial autocorrelation of health resources. Concentration Index (CI) was used to quantify the equity of health-resource distribution. A Geo-Detector model and Geographic Weighted Regression (GWR) were applied to assess the association between gross domestic product (GDP) per capita and health resources.

resultsHealth resources have increased over the past ten years. The global and local Moran's I suggested spatial aggregation in the distribution of health resources. Hospital beds were concentrated in wealthier areas, but this inequity decreased yearly (from CI=0.0587 in 2009 to CI=0.0021 in 2018). Primary medical and health institutions (PMHI) and their beds were concentrated in poorer areas (CI remained negative). Healthcare employees were concentrated in wealthier areas (CI remained positive). In 2017, the q-statistics indicated that the explanatory power of GDP per capita to beds, health personnel, and health expenditure was 40.7%, 50.3%, and 42.5%, respectively. The coefficients of GWR remained positive with statistical significance, indicating the positive association between GDP per capita and health resources.

conclusionsFrom 2009 to 2018, the total amount of health resources in China has increased substantially. Spatial aggregation existed in the health-resources distribution. Health resources tended to be concentrated in wealthier areas. When allocating health resources, the governments should take economic factors into account.

Indexed as

Health Care ReformHealth ResourcesChinaHealth ServicesHumansLongitudinal StudiesConcentration indexGeo-Detector modelGeographic weighted regressionHealthcare reformHealth resourcesMoran’s I

Identifiers

PMID34903184
PMCPMC8670033

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.