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This study developed a validated maturity model for multidisciplinary teams (MDTs) to self-assess cancer care performance. The model shows promise for monitoring MDT improvement over time.

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Area of Science:

  • Oncology
  • Healthcare Management
  • Quality Improvement

Background:

  • Multidisciplinary teams (MDTs) are crucial for cancer care but their performance varies.
  • Existing tools for MDT evaluation are resource-intensive and provide static assessments.
  • There is a need for a dynamic, self-assessment tool for MDTs.

Purpose of the Study:

  • To develop and validate a maturity model for MDTs.
  • To create a self-assessment instrument for evaluating MDT performance.
  • To enable MDTs to monitor their improvement over time.

Main Methods:

  • A three-phase methodology involving a modified Delphi technique and expert iterations.
  • Development of 17 indicators across six components within the maturity model.
  • Validation of the model using Principal Component Analysis, Cronbach's alpha, and correlation analysis on 101 responses from 11 MDTs.

Main Results:

  • Principal Component Analysis extracted five factors, with 16 of 17 indicators meeting the loading threshold.
  • The model demonstrated good internal consistency (α > 0.8) and convergent validity (r > 0.6).
  • Ease of use (3.6/5) and usefulness (3.4/5) ratings were acceptable, though discriminant validity requires further investigation.

Conclusions:

  • The developed maturity model is a potentially valuable tool for MDTs to self-assess and track performance.
  • Further research is needed to establish discriminant validity and refine model components.
  • The validated model aims to be a simple instrument for continuous MDT improvement in cancer care.