主管:中华人民共和国司法部
主办:司法鉴定科学研究院
ISSN 1671-2072  CN 31-1863/N

中国司法鉴定 ›› 0, Vol. ›› Issue (): 46-50.DOI: 10.3969/j.issn.1671-2072.2022.02.007

• 鉴定科学 • 上一篇    下一篇

基于Logistic回归分析探讨医疗损害因素对原因力判定的影响

曾文博,周惠黠,邓   

  1. 昆明医科大学 法医学院,云南 昆明 650500

  • 收稿日期:2020-08-26 出版日期:2022-03-15 发布日期:2022-04-25
  • 通讯作者: 邓虹(1966—),女,副教授,主要从事医事法学、司法鉴定学研究。E-mail:dhong23@163.com
  • 作者简介:曾文博(1994—),女,硕士研究生,主要从事医疗损害司法鉴定研究。E-mail:1121407408@qq.com
  • 基金资助:

    云南省哲学社会科学规划项目(QN202119)。

Based on Logistic Regression Analysis to Explore the Influence of Medical Injury Factors on the Determination of Causality

ZENG Wenbo, ZHOU Huixia, DENG Hong   

  1. College of Forensic MedicineKunming Medical University, Kunming 650500, China

  • Received:2020-08-26 Online:2022-03-15 Published:2022-04-25

摘要:

目的 旨在对急性心肌梗死医疗损害原因力判定的影响因素进行分析,探讨不同影响因素在原因力大小中的作用。方法 共收集274例急性心肌梗死判决案例,根据实践经验及专家咨询梳理原因力大小的影响因素,运用SPSS 23.0进行有序多分类Logistic回归分析。结果 治疗措施不当、病情变化处理不当、医疗产品使用不当、沟通告知不当、病历书写不当、疾病严重对原因力的判定有显著影响。其中,治疗措施不当、病情变化处理不当、医疗产品使用不当会增加判定为更大原因力的可能。沟通告知不当、病历书写不当、疾病严重则可能降低原因力的大小。结论 治疗措施类、观察护理类以及检查诊断类因素,可以与损害发生密切相关。沟通告知类在损害发生过程中的作用力,需根据诊疗行为是否存在过失及是否影响患者的选择作出判断。病历书写与病历管理类与损害的发生一般没有关系,但往往增加了按法律规定推定过错的情形。

关键词:

医疗损害, 原因力, 影响因素, Logistic回归分析

Abstract:

Objective To analyze the factors that affect the causality determination of Acute Myocardial InfarctionAMI, and to explore the role of different influencing factors in the causality determination. Methods A total of 274 cases of AMI were collected, and the causal factors were found based on practical experience and expert consultation, and SPSS 23.0 was used for orderly multi-class Logistic regression analysis. Results Improper treatment measures, improper treatment of changes in the condition, improper use of medical products, improper communication, improper medical record writing, and serious illness (P0.05) have a significant impact on the determination of causative potency.Among them, improper treatment measures, improper treatment of disease changes, and improper use of medical products (OR1) will increase the possibility of higher-level causal identification.Improper communication, improper medical record writing, and serious illness (OR1) will reduce the possibility of higher-level causal identification. Conclusion Factors such as treatment measures, observation and care, and inspection and diagnosis can be closely related to the occurrence of damage. The force of communication and notification in the process of damage should be judged according to whether there is fault in the diagnosis and treatment behavior and whether it affects the patients choice. Medical record writing and medical record management have nothing to do with the occurrence of damage, but there is a presumption of fault in the law.

Key words:

medical damage, causative potency, influencing factor, Logistic regression analysis

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