Evidence map›Paper›PMID 36765426›Full record

ArticleArchives of public health = Archives belges de sante publique2023

The relationship between hospital ownership, in-hospital mortality, and medical expenses: an analysis of three common conditions in China.

Qingping Xue, Dong Roman Xu, Terence C Cheng, Jay Pan, Winnie Yip

Abstract read
In one paragraph

Article in Archives of public health = Archives belges de sante publique, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
27citing 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

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

  1. Pooled it
  2. Machine-learning methods for epilepsy diagnosis and therapeutic prevention: advances, setbacks, and opportunities.Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology · 2026
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  7. Identification and Characterization of aInfection and drug resistance · 2026
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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

5 authors.

Qingping XueSchool of Public Health, Chengdu Medical College, Chengdu, China.
Dong Roman XuCenter for World Health Organization Studies and Department of Health Management, School of Health Management of Southern Medical University, Guangzhou, China.
Terence C ChengHarvard TH Chan School of Public Health, Boston, USA.
Jay PanHEOA Group, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, China. panjie.jay@scu.edu.cn.
Winnie YipHarvard TH Chan School of Public Health, Boston, USA.

Funding

Chengdu Federation of Social Science Association ZZ05National Natural Science Foundation of China 72074163National Natural Science Foundation of China 72204031National Social Science Fund of China 21ZDA104Sichuan Science and Technology Program 2022YFS0052Sichuan University 2018hhf-27World Health Organization 001
6 · The paper itself

Abstract

backgroundPrivate hospitals expanded rapidly in China since 2009 following its national health reform encouraging private investment in the hospital sector. Despite long-standing debates over the performance of different types of hospitals, empirical evidence under the context of developing countries remains scant. We investigated the disparities in health care quality and medical expenses among public, private not-for-profit, and private for-profit hospitals.

methodsA total of 64,171 inpatients (51,933 for pneumonia (PNA), 9,022 for heart failure (HF) and 3,216 for acute myocardial infarction (AMI)) who were admitted to 528 secondary hospitals in Sichuan province, China, during the fourth quarters of 2016, 2017, and 2018 were selected for this study. Multilevel logistic regressions and multilevel linear regressions were utilized to assess the relationship between hospital ownership types and in-hospital mortality, as well as medical expenses for PNA, HF, and AMI, after adjusting for relevant hospital and patient characteristics, respectively.

resultsThe private not-for-profit (adjusted OR, 1.69; 95% CI, 1.08, 2.64) and for-profit (adjusted OR, 1.67; 95% CI, 1.06, 2.62) hospitals showed higher in-hospital mortality than the public ones for PNA, but not for AMI and HF. No significant differences were found in medical expenses across hospital ownership types for AMI, but the private not-for-profit was associated with 9% higher medical expenses for treating HF, while private not-for-profit and for-profit hospitals were associated with 10% and 11% higher medical expenses for treating PNA than the public hospitals. No differences were found between the private not-for-profit and private for-profit hospitals both in in-hospital mortality and medical expenses across the three conditions.

conclusionThe public hospitals had at least equal or even higher healthcare quality and lower medical expenses than the private ones in China, while private not-for-profit and for-profit hospitals had similar performances in these aspects. Our results added evidences on hospitals' performances among different ownership types under China's context, which has great potential to inform the optimization of healthcare systems implemented among developing countries confronted with similar challenges.

Indexed as

ChinaFor-profit hospitalMedical expensePrivate hospitalQuality of care

Identifiers

PMID36765426
PMCPMC9911958

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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.