How Well We Know Wellness: Closing the Gap on Wellness Program Research in the Workplace Through Mixed-methods Topic Modelling

This research brings together a systematic literature review, topic modeling, and qualitative analysis in a novel, mixed method approach to synthesize research on workplace wellness interventions and offer directions for future research. First, we conducted a systematic literature review to create a corpus of 5,674 research publications on wellness intervention research. Next, topic modeling, a quantitative machine learning technique that identifies key topics, was deployed to extract trends within the corpus. Finally, abstracts were qualitatively coded according to a framework that examined: 1) journal outlets and disciplines publishing workplace wellness intervention research; 2) different types of wellness interventions that are studied in workplaces; 3) dependent variables measured as outcomes of wellness interventions, and any reported mechanisms or theories of change linking the intervention to the outcomes; 4) methodologies utilized by researchers and their corresponding rigor; and 5) context the research takes place within. Interestingly, despite growing recognition that wellness is multi-dimensional, ‘wellness’ is increasingly operationalized using primarily psychological outcomes. Other trends depicted a lack of consistency in research design, program theory, and results making it difficult to specify how or why a program is beneficial for a specific population and setting, and the extent to which results were reliable.