University of Twente Student Theses
Insight into an online mental health improving intervention for employees - a Mixed Methods Study of Gezondeboel
Kommers, E.S.E. (2019) Insight into an online mental health improving intervention for employees - a Mixed Methods Study of Gezondeboel.
|
PDF
1MB |
| Abstract: | Absenteeism due to work stress has become very common recent years and has serious consequences for the individual employee, organisations and society. Most mental health improving interventions have not been tested on their effects, cannot be considered evidence-based, or lack an emphasis on positive psychology. Furthermore, the implementation of eMental Health reveals several challenges. The current study evaluates the eMental Health platform Gezondeboel. A mixed-methods-study has been conducted. A quantitative study with a pre-test-post-test-design was used including four questionnaires to examine the effectiveness of the programs of Gezondeboel on employees. After the pre-test was conducted, employees were given four months to use eight programs. In the qualitative study, semi-structured interviews were conducted, to gather in-depth insight into employees’ usage, appreciation, self-perceived effects, and implementation at work. The study suggests that employees are enthusiastic about the programs and experience multiple positive effects. However, only a small group of employees started with the programs, and the time that was spent on the programs weakened over time. As a result, almost none of the programs was fully completed. There are careful indications that the eMental Health programs improve the mental well-being of employees. All these conclusions should be used with caution, since this study included a very small research group. |
| Item Type: | Essay (Master) |
| Faculty: | BMS: Behavioural, Management and Social Sciences |
| Subject: | 77 psychology |
| Programme: | Psychology MSc (66604) |
| Link to this item: | https://purl.utwente.nl/essays/79381 |
| Export this item as: | BibTeX EndNote HTML Citation Reference Manager |
Show download statistics for this publication
Show download statistics for this publicationRepository Staff Only: item control page