Evidence map›Paper›PMID 40836339›Full record

ArticleBMC health services research2025

Analysis of the causes of improper medical decision-making in medical damage liability disputes in China: a text mining approach.

Qian Xu, Yuwen Lyu, Xinzhu Zhang, Junrong Liu

Abstract read
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Article in BMC health services research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

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4citing papers in PubMed
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1 · What the graph read from it

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3 · Its place in the literature

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4 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Qian XuSchool of Medical Humanities, China Medical University, Shenyang, 110122, China.
Yuwen LyuSchool of Marxism, Guangzhou Medical University, Guangzhou, 511436, China.
Xinzhu ZhangSchool of Health Management, Guangzhou Medical University, Guangzhou, 511436, China.
Junrong LiuSchool of Medical Humanities, China Medical University, Shenyang, 110122, China. 1926801965@qq.com.

Funding

Guangzhou Key Research Base of Medical Ethics Guangzhou Social Science Planning Leading Group Office [2024] No.9
6 · The paper itself

Abstract

backgroundImproper medical decision-making is a key issue in healthcare disputes worldwide. In China, medical malpractice lawsuits related to improper decision-making are on the rise, but research on the patterns and underlying factors of such litigation is limited. This study aims to analyze the characteristics and patterns of medical decision-making malpractice cases in China, with the goal of providing reference points for judicial processes and offering policy recommendations to prevent and mitigate doctor-patient conflicts.

methodsThis study selected medical damage liability dispute cases from the China Judgments Online platform between 2018 and 2024. Python was used for data cleaning, Chinese word segmentation, and stop-word filtering. A total of 439 cases involving improper medical decision-making were included for analysis. A Latent Dirichlet Allocation (LDA) topic model was applied to identify major themes, and differential analysis was conducted to explore the relationships among hospital level, identification method, damage outcomes, and degree of responsibility.

resultsIn medical decision-making lawsuit cases, judicial identification requests were predominant, and patient death was more likely to trigger litigation. The medical parties often bore secondary responsibility. Statistically significant differences were found between hospital level and degree of responsibility (P = 0.034 < 0.05) and between hospital level and damage outcomes (P = 0.008 < 0.01). The LDA topic model revealed six main themes in the cases: medical behavior, evidence analysis, damage compensation, treatment effectiveness, patient rights, and legal applicability. Cluster analysis identified the main causes of improper decision-making, including insufficient informed consent, improper treatment plans, inadequate examinations, poor monitoring of conditions, insufficient consultations, incorrect diagnoses, improper medication, insufficient assessment, and lack of thorough patient history inquiry.

conclusionsImproper medical decision-making is closely related to the responsibility awareness and communication skills of healthcare providers. Insufficient informed consent and improper treatment plans are the primary causes of improper medical decision-making. Effective communication between doctors and patients is a common problem across hospitals at all levels. To reduce improper medical decision-making, the following measures are recommended: emphasizing informed consent to reduce decision-making risk, strengthening team collaboration to improve decision-making ability, conducting thorough examinations to reduce uncertainty, developing individualized treatment plans, and promoting clinical decision support systems to avoid information omission.

Indexed as

Clinical Decision-MakingData MiningDissent and DisputesLiability, LegalMalpracticeChinaHumansPhysician-Patient RelationsDoctor-patient communicationImproper medical decision-makingLawsuit casesMedical damage liability disputesText mining

Identifiers

PMID40836339
PMCPMC12366084

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LicenceCC BY-NC-ND
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Registered trials

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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.