Unraveling the Black Box: Exploring Usage Patterns of a Blended Treatment for Depression in a Multicenter Study
Open accessAbstract
Background: Blended treatments, combining digital components with face-to-face (FTF) therapy, are starting to find their way into mental health care. Knowledge on how blended treatments should be set up is, however, still limited. To further explore and optimize blended treatment protocols, it is important to obtain a full picture of what actually happens during treatments when applied in routine mental health care. Objective: The aims of this study were to gain insight into the usage of the different components of a blended cognitive behavioral therapy (bCBT) for depression and reflect on actual engagement as compared with intended application, compare bCBT usage between primary and specialized care, and explore different usage patterns. Methods: Data used were collected from participants of the European Comparative Effectiveness Research on Internet-Based Depression Treatment project, a European multisite randomized controlled trial comparing bCBT with regular care for depression. Patients were recruited in primary and specialized routine mental health care settings between February 2015 and December 2017. Analyses were performed on the group of participants allocated to the bCBT condition who made use of the Moodbuster platform and for whom data from all blended components were available (n=200). Included patients were from Germany, Poland, the Netherlands, and France; 64.5% (129/200) were female and the average age was 42 years (range 18-74 years). Results: Overall, there was a large variability in the usage of the blended treatment. A clear distinction between care settings was observed, with longer treatment duration and more FTF sessions in specialized care and a more active and intensive usage of the Web-based component by the patients in primary care. Of the patients who started the bCBT, 89.5% (179/200) also continued with this treatment format. Treatment preference, educational level, and the number of comorbid disorders were associated with bCBT engagement. Conclusions: Blended treatments can be applied to a group of patients being treated for depression in routine mental health care. Rather than striving for an optimal blend, a more personalized blended care approach seems to be the most suitable. The next step is to gain more insight into the clinical and cost-effectiveness of blended treatments and to further facilitate uptake in routine mental health care.
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Education was associated with user engagement: participants with higher education reported more acceptance of interventions than people with lower education (a high school diploma or lower).
“(2) education, with participants with higher education reporting more acceptance of interventions than people with lower education (a high school diploma or lower) [74-76];”
From Barriers to and facilitators of user engagement with digital mental health interventions: Systematic review (2021) · cites this paper as [76]
The Results (Usage of Blended Cognitive Behavioral Therapy; page not provided) associate higher education with greater compliance with blended treatment: 54.2% of the compliant group had postsecondary education, versus 36.5% of the noncompliant group. The paper does not report that more-educated participants expressed greater acceptance of interventions than those with a high school diploma or lower; it measures compliance and reports treatment preference separately. (LLM, conf=0.86)
Experimental — accuracy not yet measuredBlended psychotherapy is a rather new field of research.
“Blended psychotherapy, i.e., the combination of online intervention elements with standard psychotherapeutic care, is a rather new field of research (19–22).”
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- Authors
- Kemmeren, L. L., van Schaik, A., Smit, J. H., Ruwaard, J., Rocha, A., Henriques, M., Ebert, D. D., Titzler, I., Hazo, J.-B., Dorsey, M., Zukowska, K., & Riper, H.
- Affiliations
- Amsterdam Public Health (NL)
- Institute for Systems Engineering and Computers (PT)
- Friedrich-Alexander-Universität Erlangen-Nürnberg (DE)
- Inserm (FR)
- University of Southern Denmark (DK)
- Corresponding author
- Kemmeren, Lise L
- ORCID
- Venue
- JMIR Mental Health
- Publisher
- JMIR Publications Inc.
- Published
- 2019-07-25
- Volume
- 6
- Issue
- 7
- Pages
- e12707
- ISSN
- 2368-7959 (ISSN-L)
- PMC
- PMC6686640
- OpenAlex
- W2963013780
- Cited by
- 36
- References
- 54
- Citations by year
- 2026: 5 · 2025: 7 · 2024: 4 · 2023: 4 · 2022: 6 · 2021: 7 · 2020: 2 · 2019: 1
- FWCI
- 4.52
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- cc-by
- Locations
- JMIR Mental Health (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- Pure Amsterdam UMC (publishedVersion, cc-by)
- University of Southern Denmark Research Portal (University of Southern Denmark) (submittedVersion, cc-by)
- Portuguese National Funding Agency for Science, Research and Technology (RCAAP Project by FCT) (submittedVersion, other-oa)
- VU Research Portal (submittedVersion, other-oa)
- Data Archiving and Networked Services (DANS) (submittedVersion, other-oa)
- Topics
- Social Sciences › Psychology › Applied Psychology › Digital Mental Health Interventions
- Social Sciences › Psychology › Experimental and Cognitive Psychology › Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes
- Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Telemedicine and Telehealth Implementation
- Keywords
- depression, online therapy, treatment engagement, primary care, specialized mental health care, treatment preferences, comorbidities
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