Healthcare quality evaluation of tertiary public hospitals in ethnic border regions under China's performance assessment system-based on the entropy weight TOPSIS method and RSR fuzzy set.

IF 3.4 3区 医学 Q2 PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH
Frontiers in Public Health Pub Date : 2025-10-01 eCollection Date: 2025-01-01 DOI:10.3389/fpubh.2025.1668065
Junjie Huang, Yanlong Wu, HuiPing Pan, Haitao Yuan, Xinwen Liu, Huiyu Wang, Pingping Zeng, Zhong Tang, Pinghua Zhu
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引用次数: 0

Abstract

Objective: Performance evaluation is critical for improving healthcare quality and service delivery. This study analyzes the healthcare quality of tertiary hospitals across various cities in Guangxi under China's public hospital performance assessment policy to identify influencing factors and propose targeted improvement strategies for the national evaluation system.

Methods: The healthcare quality of general hospitals in Guangxi from 2019 to 2022 was evaluated using a fuzzy set entropy-weighted TOPSIS and RSR method, followed by a comprehensive city-level ranking.

Results: Entropy-weighted TOPSIS revealed the top three weighted indicators: (1) number of referred-out patients, (2) low-risk group mortality rate, and (3) proportion of reviewed prescriptions. The quality of H7 and H11 improved significantly, while H9 consistently ranked in the top 4. The RSR stratification classified H1, H2, H8, and H9 as high-performing, H6 and H12 as low-performing, and H4, H5, H6, H12, and H13 as persistently below average for four consecutive years. Using the fuzzy set method, H1, H9, H11, and H1 were ranked as the highest-performing cities from 2019 to 2022, respectively.

Conclusion: There are minor discrepancies among the three methodologies, but the trends remain largely consistent. The fuzzy-combined approach provides more robust evaluations, which offers actionable insights for healthcare quality enhancement and management standardization. Consequently, hospitals should improve the quality of services and sustain the core competitiveness of public hospitals by implementing tiered healthcare systems and standardized prescription review protocols.

基于熵权TOPSIS法和RSR模糊集的中国绩效评价体系下民族边境地区三级公立医院医疗质量评价
目的:绩效评估对提高医疗质量和服务提供至关重要。本研究对中国公立医院绩效考核政策下广西各城市三级医院的医疗质量进行分析,找出影响因素,并为国家评价体系提出有针对性的改进策略。方法:采用模糊集熵加权TOPSIS法和RSR法对2019 - 2022年广西综合医院医疗质量进行评价,并进行市级综合排名。结果:熵权TOPSIS显示了前3个加权指标:(1)转诊患者数,(2)低危组死亡率,(3)审评处方比例。H7和H11的质量显著提高,H9保持在前4位。RSR分层将H1、H2、H8、H9划分为高性能,H6、H12划分为低性能,H4、H5、H6、H12、H13连续4年持续低于平均水平。利用模糊集法,将H1、H9、H11和H1分别评为2019 - 2022年表现最好的城市。结论:三种方法之间存在较小差异,但趋势基本一致。模糊组合方法提供了更可靠的评估,为提高医疗保健质量和管理标准化提供了可操作的见解。因此,医院应通过实施分级医疗制度和规范的处方审查方案,提高服务质量,保持公立医院的核心竞争力。
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来源期刊
Frontiers in Public Health
Frontiers in Public Health Medicine-Public Health, Environmental and Occupational Health
CiteScore
4.80
自引率
7.70%
发文量
4469
审稿时长
14 weeks
期刊介绍: Frontiers in Public Health is a multidisciplinary open-access journal which publishes rigorously peer-reviewed research and is at the forefront of disseminating and communicating scientific knowledge and impactful discoveries to researchers, academics, clinicians, policy makers and the public worldwide. The journal aims at overcoming current fragmentation in research and publication, promoting consistency in pursuing relevant scientific themes, and supporting finding dissemination and translation into practice. Frontiers in Public Health is organized into Specialty Sections that cover different areas of research in the field. Please refer to the author guidelines for details on article types and the submission process.
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