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Exploring the Link between Symptom Severity and the Moment of Dropout in Online Interventions : an Exploratory Analysis
Tulk, Fabian (2025) Exploring the Link between Symptom Severity and the Moment of Dropout in Online Interventions : an Exploratory Analysis.
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| Abstract: | Digital Mental Health Interventions are an effective tool for treating many mental health problems and have numerous advantages over traditional face to face therapy. However, they suffer from high dropout rates. While dropout has been investigated, a gap in the literature is present in the relationship between the severity of anxiety, depression, sleep quality and the moment of dropout. Thus, this study aimed to explore the relationship between these variables by analyzing the data from three independent Digital Mental Health Interventions. The final sample comprised 110 participants. To analyze the relationship between the severity of anxiety, depression, sleep quality and the moment of dropout, survival analysis was used. Kaplan-Meier estimates were computed, and log-rank tests were conducted, comparing groups of differing severities of the independent variables. The log-rank tests did not show significant results. This study adds to the literature by highlighting the need for tailoring or support especially in the first modules of a Digital Mental Health Intervention. It also highlights that tailoring should not be conducted based on the severity of anxiety, depression or quality of sleep in interventions not aimed at treating these variables specifically. |
| Item Type: | Essay (Master) |
| Faculty: | BMS: Behavioural, Management and Social Sciences |
| Programme: | Psychology MSc (66604) |
| Link to this item: | https://purl.utwente.nl/essays/107004 |
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