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Determining skill mix and optimal multidisciplinary team composition: A scoping review
Donna Meadows1,2, Joanne Maclaren2, Alec Morton1
1University of Strathclyde, Glasgow, Scotland, United Kingdom.
This review identifies 9 frameworks for optimizing Multidisciplinary Team (MDT) composition and skill mix based on population needs. It highlights key enablers for health system redesign and equitable workforce distribution.
Area of Science:
- Health Services Research
- Healthcare Management
- Workforce Planning
Background:
- Healthcare leaders require updated models to determine optimal skill mix and Multidisciplinary Team (MDT) composition.
- Existing mindsets can hinder effective workforce planning aligned with population care needs.
Purpose of the Study:
- To conduct a scoping review identifying frameworks and models for skill mix and MDT composition.
- To inform health leaders and policymakers on evidence-based decision-making for workforce redesign.
Main Methods:
- Scoping review utilizing a PRISMA flowchart and a defined research question.
- Inclusion of frameworks/models published between January 2000 and September 2023.
- Analysis of common methodological elements and system enablers.
Main Results:
- Identified 9 relevant frameworks/models.
- Common elements include population needs-based approach, systematic processes, and multi-professional engagement.
- Key enablers: sponsorship, data access, learning systems, and supportive policies.
Conclusions:
- Health leaders can utilize identified frameworks to inform skill mix and MDT composition.
- System enablers are crucial for successful health system redesign and equitable workforce distribution.
- This review provides actionable insights for evidence-informed workforce planning.
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