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Enactive Phenomenological Approach to the Trier Social Stress Test: A Mixed Methods Point of View
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A Proposed Taxonomy to Holistically Classify Employee Mental Health Programs: Qualitative Taxonomy Development Study.

Benedict Sevov1,2, Robin Huettemann1,2, Maximillian Zinner1

  • 1Faculty of Health, School of Medicine, Witten/Herdecke University, Alfred-Herrhausen-Strasse 50, Witten, 58455, Germany, 49 202 8963708.

Interactive Journal of Medical Research
|December 29, 2025
PubMed
Summary

A new taxonomy standardizes employee mental health programs (EMHPs) for better classification and transparency. This tool aids researchers and employers in understanding and selecting effective mental health solutions.

Keywords:
classificationdigital mental healthdigital mental health interventionsdigital mental health technologiesemployee assistance programsemployee mental health programsemployee well-beingmental healthtaxonomyworkplace mental health

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Area of Science:

  • Workplace Mental Health
  • Health Services Research
  • Organizational Psychology

Background:

  • Employee mental health programs (EMHPs) have rapidly expanded, creating a complex and non-transparent landscape.
  • Existing classifications lack comprehensiveness for detailed EMHP categorization.
  • A standardized taxonomy is needed to improve research and practice in employee mental health.

Purpose of the Study:

  • To develop and evaluate a comprehensive taxonomy for holistic classification of EMHPs.
  • To provide a standardized tool for categorizing, developing, and selecting EMHPs.

Main Methods:

  • A 4-iteration taxonomy development process combining conceptual-empirical and empirical-conceptual approaches.
  • Scoping reviews and semistructured qualitative interviews with employees and 17 international experts.
  • Evaluation through application to 3 real-world EMHPs with 5 experts and interrater reliability analysis (proportion of observed agreement and Fleiss κ).

Main Results:

  • A taxonomy with 2 metadimensions, 21 dimensions, and 69 characteristics was developed.
  • Experts achieved 85% agreement (κ=0.66) when classifying EMHPs using the taxonomy.
  • High interrater reliability across dimensions (agreement 64%-100%, κ 0.20-1.00).

Conclusions:

  • The developed taxonomy establishes a common standard for holistic EMHP classification, enhancing transparency.
  • It serves as a structured tool for researchers and practitioners, guiding EMHP analysis, development, and selection.
  • The taxonomy supports future research, market gap identification, employer decision-making, and policy development.