Mental health in organizations from a healthcare analytics framework: taxonomic model, trends, and impact of COVID-19

Abstract

Mental disorders negatively affect employee well-being and organizational performance. Organizations face a challenge in terms of how to manage mental health. This paper clarifies three issues (underlying patterns, trends, and impact of COVID-19) regarding the scientific study of mental health in organizations from a healthcare analytics framework. The framework comprises eight stages considering a text-driven approach with scientific corpora assisted by linguistic/computational and statistical resources. This study discovers a new taxonomic model comprising five patterns in the scientific discourse on the topic. Trend analyses reveal imbalances and concerns regarding the interests associated with the patterns, which is reinforced by examining patterns “before” and “during” COVID-19. This paper complements psychological/epidemiological studies on mental health in organizations from a healthcare analytics perspective.

Keywords:

• Healthcare analytics
• healthcare management analytics
• mental health
• scientific discourse
• text analytics
• taxonomy
• COVID-19
• management analytics

Disclosure statement

No potential conflict of interest was reported by the author(s).

Supplementary material

Supplemental data for this article can be accessed at doi:10.1080/23270012.2023.2301709.

Additional information

Funding

This work was supported by the Ministry of Science, Technology and Innovation of Colombia (Minciencias).