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Patient and Therapist Expectations for a Blended Cognitive Behavioral Therapy Program for Depression: Qualitative
Ece Atik1, Magnus Schückes2, Jennifer Apolinário-Hagen3
1Ruhr University Bochum, Bochum, Germany.
JMIR Mental Health
|December 30, 2022
Summary
Patients and therapists desire digital tools for blended cognitive behavioral therapy (bCBT) to track mood, complete homework, and manage tasks. Customization and data security are key considerations for improving bCBT apps.
Area of Science:
- Psychiatry and Mental Health
- Digital Health
- Human-Computer Interaction
Background:
- Blended cognitive behavioral therapy (bCBT) combines digital tools with face-to-face therapy.
- Evidence suggests bCBT improves treatment outcomes but has limitations.
- Knowledge gaps exist in optimizing bCBT digital applications.
Purpose of the Study:
- To identify patient and therapist expectations for bCBT digital tools.
- To explore desired functions and qualities of bCBT apps from user perspectives.
Main Methods:
- Qualitative exploratory study design.
- Focus groups and semistructured interviews with patients and therapists.
- Inductive thematic analysis of transcribed interview data.
Main Results:
- Patients and therapists expect apps for mood tracking, homework, interventions, and administrative tasks.
- Customization of bCBT protocols is highly desired.
- Differences noted in patient preferences for content and therapists' views on documentation and data security.
Conclusions:
- Patients and therapists show positive attitudes towards integrated bCBT.
- Study provides novel insights into user expectations for bCBT digital tools.
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