ArticleBMJ open2020
Retrospective analysis of medical malpractice claims in tertiary hospitals of China: the view from patient safety.
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.
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.
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.
Who cites it
21 citing papers in PubMed.
- Development and Validation of Machine Learning Models for Postjudgment Estimation of High Compensation Ratios After Lower Limb Fracture Surgery: Retrospective Study.JMIR medical informatics · 2026Article
- Causes, Characteristics, and Risk Factors of Medical Damage Liability Disputes: A 13-Year Retrospective Analysis of 1761 Litigation Cases in Chongqing, China.Healthcare (Basel, Switzerland) · 2026Article
- Risk Factors and Liability Distribution in Medical Disputes Related to Spinal Diseases: A Six-Year Retrospective Study in Beijing.Journal of multidisciplinary healthcare · 2026Article
- The impact of national comprehensive medical reform on healthcare quality: evidence from China.Frontiers in public health · 2026Article
- Occurrence and associated factors of self-reported medical errors among Chinese physicians and nurses: a cross-sectional survey.Annals of medicine · 2025Article
- Analysis of the causes of improper medical decision-making in medical damage liability disputes in China: a text mining approach.BMC health services research · 2025Article
- Characteristics and risk factors for medical malpractice among obstetric and gynecologic physicians in China.BMC health services research · 2025Observational
- Factors Influencing Litigation Compensation in Plastic Surgery: A Retrospective Analysis in China.Plastic and reconstructive surgery. Global open · 2025Article
- Reducing Nurses' Barriers to Reporting Adverse Events Using a WeChat-Based Cognitive Load Training Platform: An Open-Label, Randomized Controlled Trial.Risk management and healthcare policy · 2025Article
- Developing quality indicators for cancer hospitals in China: a national modified Delphi process.BMJ open · 2024Review
- Medico-legal management of healthcare-associated infections: a cost-effectiveness analysis in an Italian tertiary hospital.Frontiers in medicine · 2024Article
- A machine learning-based predictive model of causality in orthopaedic medical malpractice cases in China.PloS one · 2024Article
- Article
- Association between acculturation and physician trust for internal migrants: A cross-sectional study in China.PloS one · 2023Article
- Observational
- The Application of Graph Theoretical Analysis to Complex Networks in Medical Malpractice in China: Qualitative Study.JMIR medical informatics · 2022Article
- Nurses' Intentions, Awareness and Barriers in Reporting Adverse Events: A Cross-Sectional Survey in Tertiary Hospitals in China.Risk management and healthcare policy · 2022Article
- Association Between Perceived Medical Errors and Suicidal Ideation Among Chinese Medical Staff: The Mediating Effect of Depressive Symptoms.Frontiers in medicine · 2022Article
- Rule-based expert system for the diagnosis of maternal complications during pregnancy: For low resource settings.Digital healthArticle
- Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
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
Identifiers
What OpenQuestion holds
Registered trials
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.