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Construction of a debt risk early-warning model for public hospitals based on factor analysis: evidence from Sichuan
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Hong-mei LIU, Ling ZHANG, Sha LI, Xuan-ping ZHOU, Han-jian ZHANG
Modern Preventive Medicine | 2026, 53(10) : 1855 - 1860
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Modern Preventive Medicine | 2026, 53(10): 1855-1860
• Health Policy and Management •
Construction of a debt risk early-warning model for public hospitals based on factor analysis: evidence from Sichuan
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Hong-mei LIU, Ling ZHANG, Sha LI, Xuan-ping ZHOU, Han-jian ZHANG
Affiliations
  • West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, Sichuan 610041, China
Published: 2026-05-25 doi: 10.20043/j.cnki.MPM.202512372
Outline
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Objective

In response to the continuously expanding debt scale and increasingly prominent debt risks of public hospitals in China, this study aims to construct a debt risk evaluation model suitable for public hospitals. This study empirically evaluates debt risk patterns across public hospitals by administrative level, type, and grade, aiming to support targeted risk mitigation policies.

Methods

Using the relevant data from the 2023 financial annual reports of 408 public hospitals under the Health Commission of Sichuan Province as the sample, this study selected 11 indicators highly correlated with debt risk and established a risk early-warning model through factor analysis.

Results

Factor analysis identified four common factors, with a cumulative variance contribution rate of 87.026%, which collectively constitute the core determinants of debt risk. Debt risk distribution exhibited significant variations across hospitals grouped by different dimensions. At the administrative level, prefecture-level hospitals had the highest proportion of high-risk cases, standing at 28.38%. By hospital type, traditional Chinese medicine hospitals recorded the highest share of high-risk instances, reaching 31.16%. By hospital grade, secondary hospitals accounted for the largest proportion of high-risk cases, at 27.38%.

Conclusion

The debt risk model constructed using factor analysis demonstrates good applicability and effectiveness, enabling a scientific assessment of public hospitals’ debt risk levels. Based on the evaluation findings, we recommend a coordinated approach across multiple areas: strengthening planning constraints and government investment, deepening health insurance price reforms and enhancing internal management, establishing a monitoring and early-warning system. This comprehensive strategy aims to resolve existing debt in a tiered and categorized manner and prevent systemic risks.

Public hospital  /  Debt risk  /  Factor analysis  /  Sichuan Province
刘洪梅, 张玲, 李莎, 周玄平, 张晗剑. 基于因子分析的公立医院债务风险预警模型构建——以四川省为例. 现代预防医学, 2026 , 53 (10) : 1855 -1860 . DOI: 10.20043/j.cnki.MPM.202512372
Hong-mei LIU, Ling ZHANG, Sha LI, Xuan-ping ZHOU, Han-jian ZHANG. Construction of a debt risk early-warning model for public hospitals based on factor analysis: evidence from Sichuan[J]. Modern Preventive Medicine, 2026 , 53 (10) : 1855 -1860 . DOI: 10.20043/j.cnki.MPM.202512372
Year 2026 volume 53 Issue 10
21
12
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Article Info
doi: 10.20043/j.cnki.MPM.202512372
  • Receive Date:2025-12-22
  • Online Date:2026-11-02
  • Published:2026-05-25
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  • Received:2025-12-22
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    West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, Sichuan 610041, China
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表12种不同金属材料的力学参数
科
Family
属数
Number of
genus
种数
Number of
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Percentage of
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Genus
种数
Number of
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Percentage of total
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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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