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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.

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Summary

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.

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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.