Evidence map›Paper›PMID 40804246›Full record

ArticleScientific reports2025

Identifying key factors for organizational resilience among medical alliance using the analytic hierarchy process method.

Chi Zhou, Weiming Cao, Qunfang Huang, Xiaoling Lin, Jingchun Chen, Yuxin Zheng, Wanjing Li, Zejun Wang, Minmin Jiang

Abstract read
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

9 authors.

Chi Zhou *School of Public Administration, Hangzhou Normal University, Hangzhou, China.
Weiming Cao *Health Commission of Yunnan Province, Kunming City, Yunnan, China.
Qunfang HuangSchool of Public Administration, Hangzhou Normal University, Hangzhou, China.
Xiaoling LinSchool of Public Administration, Hangzhou Normal University, Hangzhou, China.
Jingchun ChenSchool of Health Medicine, Guangzhou Huashang College, Guangzhou, China.
Yuxin ZhengSchool of Public Administration, Hangzhou Normal University, Hangzhou, China.
Wanjing LiSchool of Public Administration, Hangzhou Normal University, Hangzhou, China.
Zejun WangDepartment of Gastroenterology, Hangzhou Linping Hospital of Integrated Traditional Chinese and Western Medicine, No. 60, Health Care Road, Linping Street, Linping District, Hangzhou, China. yhwangzj@163.com.
Minmin JiangShulan International Medical College, Zhejiang Shuren University, No.8, Shuren Rd., Hangzhou, 310015, China. 601457@zjsru.edu.cn.

Funding

National Natural Science Foundation of China 72274050Shanghai Municipal TCM and Integrated Medicine Society Research Fund for Community Medicine and Health Management 2024-13
6 · The paper itself

Abstract

This study aims to assess organizational resilience within medical alliances using the analytic hierarchy process (AHP) method, identify key factors, and improve their performance. It developed a model of organizational resilience factors for medical alliances, including 5 first-level sub-criteria, 15 second-level sub-criteria, and 43 third-level sub-criteria based on literature reviews and expert assessments. Nineteen experts from universities, health commissions, centers for disease control and preventions, and hospitals, including both management and technical specialists, were invited. AHP was utilized to calculate and prioritize the weights for each criterion of organizational resilience. A4 Integrated and A2 Self-regulating were identified as the key first-level sub-criteria for organizational resilience among medical alliances. In the third-level sub-criteria, the top three most important factors were C10 Leadership at the Decision-Making Level of the Medical Alliance (0.050), C29 Funds of the Medical Alliance Jointly Negotiated and Allocated by the Township Hospital and Each Branch Hospital (0.048), and C33 Integration of Medical and Preventive Services in the Medical Alliance (0.041). Sensitivity analysis was also conducted to check the stability of our results. In conclusion, this study offers a comprehensive evaluation tool for assessing the organizational resilience of medical alliances. It suggests that enhancing integration and self-regulation can improve both the operational effectiveness and service quality of medical alliances.

Indexed as

Health Planning OrganizationsLeadershipAnalytic hierarchy process method (AHP)Key factorsMedical allianceOrganizational resilience

Identifiers

PMID40804246
PMCPMC12350848

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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.