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Analysis of influencing factors of medical staff’s voluntary reporting of medical adverse events based on logistic regression and decision tree models
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Chang-yang CHEN1, Tai-hao CHEN2, Man-na ZHANG2, Wei LIU2, Yi WAN2, Hai LONG2, Jun-hua WANG1, Jiang-ping ZHANG1, 2
Modern Preventive Medicine | 2025, 52(16) : 2986 - 2993
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Modern Preventive Medicine | 2025, 52(16): 2986-2993
Health Policy and Management
Analysis of influencing factors of medical staff’s voluntary reporting of medical adverse events based on logistic regression and decision tree models
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Chang-yang CHEN1, Tai-hao CHEN2, Man-na ZHANG2, Wei LIU2, Yi WAN2, Hai LONG2, Jun-hua WANG1, Jiang-ping ZHANG1, 2
Affiliations
  • School of Public Health, the key Laboratory of Environmental Pollution Monitoring and Disease Control, Ministry of Education, Guizhou Medical University, Guiyang, Guizhou 561113, China
Published: 2025-08-25 doi: 10.20043/j.cnki.MPM.202501182
Outline
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Objective

To explore the influencing factors of medical staff’s active reporting of adverse medical events by using Logistic regression and decision tree models, and to provide corresponding solutions.

Methods

A total of 811 medical workers in a tertiary hospital were investigated by random sampling. Logistic regression and decision tree model were used to analyze the factors of active reporting of medical adverse events by medical staff, and the area under ROC curve was calculated to compare and judge the analysis effect of the two models.

Results

Only 55.1% of the medical staff in this hospital have voluntarily reported medical adverse events. The results of the two models showed that occupation, working years, knowledge of the reporting process of the hospital, and whether additional work would be added to the cumbersome reporting procedures were the influencing factors for the active reporting of medical staff (P<0.05). The AUC of Logistic regression model was greater than that of decision tree model, and the difference was statistically significant (Z=3.424, P<0.001).

Conclusion

The rate of active reporting of medical adverse events by medical staff in this hospital is relatively low. It is suggested that multiple measures be taken to promote the active reporting by medical staff.

Medical safety adverse events  /  Medical adverse events  /  Influencing factors
Chang-yang CHEN, Tai-hao CHEN, Man-na ZHANG, Wei LIU, Yi WAN, Hai LONG, Jun-hua WANG, Jiang-ping ZHANG. Analysis of influencing factors of medical staff’s voluntary reporting of medical adverse events based on logistic regression and decision tree models[J]. Modern Preventive Medicine, 2025 , 52 (16) : 2986 -2993 . DOI: 10.20043/j.cnki.MPM.202501182
Year 2025 volume 52 Issue 16
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doi: 10.20043/j.cnki.MPM.202501182
  • Receive Date:2025-01-10
  • Online Date:2026-03-18
  • Published:2025-08-25
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  • Received:2025-01-10
Affiliations
    School of Public Health, the key Laboratory of Environmental Pollution Monitoring and Disease Control, Ministry of Education, Guizhou Medical University, Guiyang, Guizhou 561113, China
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表12种不同金属材料的力学参数

Family
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Number of
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Number of
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鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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