ArticleBMC health services research2024
Comprehensive evaluation of the implementation of close-type county medical alliance in Shandong Province using entropy weight TOPSIS method and non-integer rank sum ratio method.
Article in BMC health services research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed.
- Mobile signaling big data, healthcare-seeking flows, and multidimensional healthcare access in Shanghai: implications for healthcare supply-demand matching and medical security governance.Frontiers in public health · 2026Article
- A study on performance evaluation of surgical departments in tertiary public hospitals based on the fuzzy combination-DEA method.Frontiers in public health · 2026Article
- Quantifying neonatal transport deficiencies: an integrated framework for weighting core KPIs and ranking challenges in resource-limited settings.European journal of pediatrics · 2025Article
- Article
- Sanming Model of Medical Service Integration: Impact on Medical Expenditures, Service Provision, and Resource Allocation in China.Risk management and healthcare policy · 2025Article
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Authors and funding
5 authors.
Funding
Abstract
backgroundTo improve the capacity of county medical and health services, China encourages all localities to pilot the close-type county medical alliance. In Shandong Province, medical alliances have been piloted in 47 counties, ranking first in the country. The objective of this study is to comprehensively evaluate the implementation of close-type county medical alliance in Shandong Province, identify the differences between different county regions, and analyze the reasons, so as to provide a reference for the construction of a new county medical and health service system with clear goals, powers and responsibilities, and division of labor.
methodsThe implementation of the close-type county medical alliance was comprehensively evaluated in 47 national pilot counties in Shandong Province using entropy weight TOPSIS method and non-integer rank sum ratio method. Variance analysis was used for comparison of the comprehensive evaluation results.
resultsThe weight coefficient of evaluation indicators was highest for information interconnection, at 18.06%, and lowest for orderly referral of patients, at 3.64%. There was no difference in results of the comprehensive evaluation of entropy weight TOPSIS method and non-integer rank sum ratio method. Comprehensively order the implementation status of each pilot county according to the relative paste progress, 13 counties Y
conclusionsOur findings indicated that the implementation of the close-type county medical alliance is significantly different between pilot counties, with a marked differentiation within the same urban area. Therefore, effective measures are recommended to reduce this gap, including promoting informatization empowerment of the county medical community, strengthening government responsibility and improving policy effectiveness.
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