Evidence map›Paper›PMID 32973050›Full record

ArticleBMJ open2020

Retrospective analysis of medical malpractice claims in tertiary hospitals of China: the view from patient safety.

Heng Li, Shengjie Dong, Ziyi Liao, Yao Yao, Suwei Yuan, Yujie Cui, Guohong Li

Abstract read
In one paragraph

Article in BMJ open, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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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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

21 citing papers in PubMed.

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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

7 authors.

Heng Li *School of Public Health, Shanghai Jiao Tong University School of Medicine, Shanghai, China.ORCID 0000-0003-4854-8537
Shengjie Dong *School of Public Health, Shanghai Jiao Tong University School of Medicine, Shanghai, China.ORCID 0000-0002-4573-8792
Ziyi LiaoSchool of Public Health, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Yao YaoChina Hospital Development Institute, Shanghai Jiao Tong University, Shanghai, China.ORCID 0000-0002-1191-9843
Suwei YuanChina Hospital Development Institute, Shanghai Jiao Tong University, Shanghai, China.
Yujie CuiChina Hospital Development Institute, Shanghai Jiao Tong University, Shanghai, China.
Guohong LiSchool of Public Health, Shanghai Jiao Tong University School of Medicine, Shanghai, China guohongli@sjtu.edu.cn.ORCID 0000-0003-0445-5363

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesThe study analysed medical malpractice claims to assess patient safety in hospitals. The information derived from malpractice claims reflects potential risks and could help lead to reducing medical errors and improving patient safety. DESIGN,

settingWe analysed 4380 medical malpractice claims from 351 grade-A tertiary hospitals in China for 2008-2017. We examined the characteristics of medical errors and patient safety, including the types of medical errors, proportionate liabilities and payments for medical malpractice in different clinical specialties.

main outcome measuresWe assessed claim characteristics, payment amounts and liability.

resultsOur data analysis demonstrated that 72.5% of the claims involved medical errors, with average payments of US$31 430. The hospital's errors in medical malpractice resulted in 41.4% average liability in patient injury payments. Most medical malpractice cases occurred in Shanghai (817 claims, 18.7%) and Beijing (468 claims, 10.7%). The highest risks for medical error and malpractice claims were related to orthopaedics (11.3% of all claims, 72.8% with medical errors) and obstetrics and gynaecology (10.0% of all claims, 76.0% with medical errors). The highest rates related to proportionate liabilities were observed in otolaryngology (51.9%) and endocrinology (47.7%). Respiratory medicine had the highest proportion of claims in death rates (77.3%). Medical technology errors accounted for 91.8% of the claims and medical ethics errors for 5.8%. The highest average payment was found in cardiovascular surgery (US$41 733) and the lowest in stomatology (US$8822).

conclusionsA previous study found that grade-A tertiary hospitals in China have similar medical error rates to general Chinese hospitals.

Indexed as

MalpracticePatient SafetyBeijingChinaFemaleHumansMedical ErrorsPregnancyRetrospective StudiesTertiary Care Centershealth & safetylaw (see medical law)medical lawrisk management

Identifiers

PMID32973050
PMCPMC7517568

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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.