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3
Validation of the care providers version of the Rainbow Model of Integrated Care-measurement tool in Chinese primary care systems.中文基层医疗系统中“彩虹整合照护模式”照护提供者版测量工具的验证。
BMC Health Serv Res. 2020 Aug 8;20(1):727. doi: 10.1186/s12913-020-05562-2.
4
Analysis of the Influencing Factors on the Preferences of the Elderly for the Combination of Medical Care and Pension in Long-Term Care Facilities Based on the Andersen Model.基于安德森模型的长期护理机构中老年人对医养结合偏好的影响因素分析。
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Building a People-Centred Integrated Care Model in Urban China: A Qualitative Study of the Health Reform in Luohu.在中国城市构建以人民为中心的整合照护模式:对罗湖医疗改革的定性研究
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协同治理对医护服务融合的影响:基于德尔菲法和熵权法的评价

Effect of Collaborative Governance on Medical and Nursing Service Combination: An Evaluation Based on Delphi and Entropy Method.

作者信息

Chang Beiquan, Yang Yansui, Buitrago Leon Guillermo Andres, Lu Yuzhong

机构信息

School of Public Policy and Management, Tsinghua University, Beijing 100084, China.

Shenxiang School of Business, Sanda University, Shanghai 201209, China.

出版信息

Healthcare (Basel). 2021 Oct 27;9(11):1456. doi: 10.3390/healthcare9111456.

DOI:10.3390/healthcare9111456
PMID:34828502
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8622114/
Abstract

[Background]: Improvement of synergies in medical and nursing services can help governments to optimize the allocation of medical resources; however, an appropriate evaluation method is critical for a suitable decision process in this regard. [Method]: To assess the medical and nursing service combination (MNSC) at a regional level, this study applied a five-dimension evaluation index composed of 28 basic response areas related to the MNSC development status in China, determining its respective weight through the Delphi and entropy methods. [Result]: This empirical exercise analyzed the MNSC supply system by interviewing nine heads of medical and nursing institutions and eleven healthcare-related government personnel during August of 2020 in Xinxiang City, Henan province, P.R China. Results showed: (1) public satisfaction with the fees charged by Medical and Nursing service Institutions (MNSI); (2) Medicare and supply services' policy publicity; (3) the external financing situation of MNSI; (4) the medical staff's professional quality; (5) the medical facilities and supply of MNSI; and (6) that the recognition level of the development plan of MNSI scored the highest effect on the synergy of MNSC supply among the assessed factors. [Conclusion]: These results showed that an evaluation based on the Delphi and entropy methods can effectively integrate the opinions of experts and related institutions to evaluate synergies on the medical and nursing service supply.

摘要

[背景]:改善医疗和护理服务协同效应有助于政府优化医疗资源配置;然而,合适的评估方法对于这方面的合理决策过程至关重要。[方法]:为评估区域层面的医疗护理服务组合(MNSC),本研究应用了一个由28个与中国MNSC发展状况相关的基本响应领域组成的五维评估指标,通过德尔菲法和熵权法确定其各自权重。[结果]:本实证研究于2020年8月在中国河南省新乡市,通过访谈9名医疗护理机构负责人和11名医疗相关政府人员,对MNSC供应系统进行了分析。结果显示:(1)公众对医疗护理服务机构(MNSI)收费的满意度;(2)医保及供应服务政策宣传情况;(3)MNSI的外部融资状况;(4)医务人员的专业素质;(5)MNSI的医疗设施及供应情况;(6)在评估因素中,MNSI发展规划的认可程度对MNSC供应协同效应的影响得分最高。[结论]:这些结果表明,基于德尔菲法和熵权法的评估能够有效整合专家及相关机构的意见,以评估医疗护理服务供应的协同效应。