Measuring Health Care Work-Related Contextual Factors: Development of the McGill Context Tool

J Contin Educ Health Prof. 2024;44(1):18-27. doi: 10.1097/CEH.0000000000000514. Epub 2023 Jun 8.

Abstract

Introduction: Contextual factors can influence healthcare professionals' (HCPs) competencies, yet there is a scarcity of research on how to optimally measure these factors. The aim of this study was to develop and validate a comprehensive tool for HCPs to document the contextual factors likely to influence the maintenance, development, and deployment of professional competencies.

Methods: We used DeVellis' 8-step process for scale development and Messick's unified theory of validity to inform the development and validation of the context tool. Building on results from a scoping review, we generated an item pool of contextual factors articulated around five themes: Leadership and Agency, Values, Policies, Supports, and Demands. A first version of the tool was pilot tested with 127 HCPs and analyzed using the classical test theory. A second version was tested on a larger sample (n = 581) and analyzed using the Rasch rating scale model.

Results: First version of the tool: we piloted 117 items that were grouped as per the themes related to contextual factors and rated on a 5-point Likert scale. Cronbach alpha for the set of 12 retained items per scale ranged from 0.75 to 0.94. Second version of the tool included 60 items: Rasch analysis showed that four of the five scales (ie, Leadership and Agency, Values, Policies, Supports) can be used as unidimensional scales, whereas the fifth scale (Demands) had to be split into two unidimensional scales (Demands and Overdemands).

Discussion: Validity evidence documented for content and internal structure is encouraging and supports the use of the McGill context tool. Future research will provide additional validity evidence and cross-cultural translation.

Publication types

  • Review

MeSH terms

  • Health Personnel*
  • Humans
  • Leadership*
  • Policy
  • Professional Competence
  • Psychometrics
  • Reproducibility of Results