Evidence map›Paper›PMID 37624103›Full record

ArticleInternational health2024

The heterogeneous impacts of government on health system efficiency in China's new health reform, 2010-2019.

Jianghua Zhang, Baojie Guo, Xuemei Fu, Xing Lin Feng

Abstract read
In one paragraph

Article in International health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–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

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
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

4 authors.

Jianghua ZhangSchool of Management, Shandong University, Jinan 250100, China.
Baojie GuoSchool of Management, Shandong University, Jinan 250100, China.
Xuemei FuSchool of Management, Shandong University, Jinan 250100, China.
Xing Lin FengDepartment of Health Policy and Management, School of Public Health, Peking University, Beijing 100191, China.ORCID 0000-0003-3588-1859

Funding

National Key Research and Development Program of China 2022YFC3600904National Natural Science Foundation of China 72293580
6 · The paper itself

Abstract

backgroundContextualizing in China's recent health reform, we empirically explore the heterogeneous effects of two distinct government roles, accommodating private hospitals vs investing in public hospitals, on health system efficiency.

methodsWe use panel data covering 31 provinces during 2010-2019 to assess health system efficiency. We incorporate health service volumes and population health outcomes to ascertain health system outputs, employing the non-radial directional distance function to estimate efficiency. We employ Bayesian Tobit quantile regression to explore the heterogeneous effects of the share of private hospitals and government subsidy to public providers on efficiency.

resultsChina's health system inefficiency scores range from 0 to 0.45. The association between the share of private hospitals and inefficiency score are only significant in higher-inefficiency quantiles (coefficients -0.0258, -0.0315 and -0.0327 for quantiles 0.7, 0.8 and 0.9), meaning a heterogeneously positive impact for low-efficiency provinces. The association between government subsidy and inefficiency score are positive for all quantiles (from 0.0339 to 0.0567), meaning persistent negative impacts on efficiency.

conclusionsThe heterogeneous impacts of the share of private hospitals suggest that the government should accommodate more private hospitals in provinces with low efficiency. The persistent negative impacts of government subsidy suggest that the government investment seems not be subjected to economic objectives.

Indexed as

Efficiency, OrganizationalFinancing, GovernmentHealth Care ReformHospitals, PrivateHospitals, PublicBayes TheoremChinaDelivery of Health CareGovernmentHumansgovernment subsidyhealth reformhealth system efficiencypublic hospitalsshare of private hospitals

Identifiers

PMID37624103
PMCPMC11062197

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

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.