Evidence map›Paper›PMID 36309554›Full record

ArticleScientific reports2022

A taxonomy of Chinese hospitals and application to medical dispute resolutions.

Mengxiao Wang, Hanqing Zhao, Chengxiang Tang, Yu Sun, Gordon G Liu

Abstract read
In one paragraph

Article in Scientific reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. 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

5 authors.

Mengxiao WangSchool of Public Administration, Southwestern University of Finance and Economics, 555 Liutai Street, Chengdu, 611130, China. mxwang@swufe.edu.cn.
Hanqing ZhaoInstitute of Health Policy and Hospital Management, Sichuan Academy of Medical Sciences & Sichuan Provincial People's Hospital, Chengdu, China.
Chengxiang TangCentre for the Health Economy, Business School & Australian Institute of Health Innovation, Macquarie University, Sydney, Australia.
Yu SunChina Center for Health Economic Research, National School of Development, Peking University, 5 Yiheyuan Road, Beijing, 100871, China.
Gordon G LiuChina Center for Health Economic Research, National School of Development, Peking University, 5 Yiheyuan Road, Beijing, 100871, China. gordonliu@nsd.pku.edu.cn.

Funding

Department of Science and Technology of Sichuan Province 2018JZ0053Fundamental Research Funds for the Central Universities JBK21YJ09Sichuan Provincial Health Information Center 2021ZXKY06008
6 · The paper itself

Abstract

Medical disputes can be viewed as a negative indicator of health care quality and patient satisfaction. However, dispute prevention from the perspective of systematic supervision is unexplored. This study examines hospital clustering based on diagnosis-related group (DRG) indicators and explores the association between hospital clusters and medical disputes. Health administrative data from Sichuan Province in 2017 were used. A twostep cluster analysis was performed to cluster hospitals based on DRG indicators. A multiple regression analysis was conducted to evaluate the relationship between clusters and the incidence/number of medical disputes. The 1660 hospitals were grouped into three DRG clusters: basic (62.5%, n = 1038), diverse (31.0%, n = 515), and lengthy (6.4%, n = 107). After adjusting for covariates, the diverse hospitals were associated with an increased probability of having medical disputes (OR 5.24, 95% CI 2.97-9.26), while the diverse and lengthy hospitals were associated with a greater number of medical disputes (IRR 10.67, 95% CI 6.58-17.32; IRR 4.06, 95% CI 1.22-13.54). Our findings highlighted that the cluster-level performance of hospitals can be monitored. Future studies could examine this relationship using a longitudinal design and explore ways to reduce medical disputes in hospitals.

Indexed as

Dissent and DisputesHospitalsChinaHumansPatient SatisfactionQuality of Health Care

Identifiers

PMID36309554
PMCPMC9617920

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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.