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确定技能组合和最佳多学科团队组成:一项范围综述。

Determining skill mix and optimal multidisciplinary team composition: A scoping review.

作者信息

Meadows Donna, Maclaren Joanne, Morton Alec, Ross Darcy

机构信息

University of Strathclyde, Glasgow, Scotland, United Kingdom.

Island Health, Victoria, British Columbia, Canada.

出版信息

Healthc Manage Forum. 2025 May;38(3):278-285. doi: 10.1177/08404704241293095. Epub 2024 Nov 5.

Abstract

Holistic care models aligned to population care needs are needed to help leaders shed pre-existing mindsets when determining skill mix and Multidisciplinary Team (MDT) composition. Using a PRISMA flowchart, a narrow eligibility criterion, and a research question, this scoping review resulted in 9 frameworks/models published between January 2000 and September 2023. Analysis showed common methodological elements such as a population needs-based approach, a systematic process, engagement, three or more professions reporting task or competency level analysis, change advocacy, and reliance on population and workforce supply data. Key system enablers were sponsorship, access to population needs-based and workforce supply data, a learning management system for MDT development, and health human resource policies and governance to drive health system redesign to distribute an equitable workforce. This scoping review offers health leaders and policy-makers options and next-step considerations to inspire fresh thinking for making evidence-informed decisions about skill mix and MDT composition.

摘要

需要与人群护理需求相匹配的整体护理模式,以帮助领导者在确定技能组合和多学科团队(MDT)组成时摒弃既有的思维定式。通过使用PRISMA流程图、狭义的纳入标准和研究问题,本范围综述得出了2000年1月至2023年9月期间发表的9个框架/模式。分析显示了一些共同的方法学要素,如基于人群需求的方法、系统的流程、参与、三个或更多专业报告任务或能力水平分析、变革倡导以及对人群和劳动力供应数据的依赖。关键的系统促成因素包括赞助、获取基于人群需求和劳动力供应的数据、用于MDT发展的学习管理系统,以及推动卫生系统重新设计以分配公平劳动力的卫生人力资源政策和治理。本范围综述为卫生领导者和政策制定者提供了选择和下一步的考虑因素,以激发新的思维,从而为关于技能组合和MDT组成的循证决策提供参考。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c82f/12009454/e5e37e40858b/10.1177_08404704241293095-fig1.jpg

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