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Preferences for an Experience Sampling Method-Based Tool as an Adjunct to Usual Treatment in Patients With Problem
Adam Kurilla1, Natália Čavojská1, Theresa Ikegwuonu2
1Department of Psychology, Faculty of Arts, Comenius University Bratislava, Bratislava, Slovakia.
JMIR Formative Research
|January 15, 2026
Summary
Patient preferences for digital mental health tools are crucial for effective substance use disorder treatment. Understanding user needs in features like notifications and data sharing can improve mobile health interventions.
Area of Science:
- Digital Health
- Mental Health Technology
- Substance Use Disorder Treatment
Background:
- Mobile health (mHealth) tools utilizing the Experience Sampling Method (ESM) show promise for substance use disorder (SUD) treatment.
- Patient involvement in developing these tools is often lacking, with limited research on preferences of individuals undergoing SUD treatment.
Purpose of the Study:
- To understand the feature preferences of mental health service users with problem substance use for Digital Mobile Mental Health (DMMH) tools.
Main Methods:
- A qualitative study involving semistructured interviews with service users in 4 European countries.
- Interviews included the presentation of a DMMH prototype.
- Data analysis employed directed qualitative content analysis.
Main Results:
- 12 participants with problem substance use (aged 18-50) from 4 European countries shared preferences across 7 categories.
- Users accepted intensive notifications if questionnaires were brief, preferring open-text responses and Ecological Momentary Interventions.
- Customization, data visualization for clinician communication, and controlled data sharing were key preferences.
Conclusions:
- Patient preferences for content, functionality, and appearance must guide the development of ESM-based mHealth tools for problem substance use.
- Incorporating user-centered design ensures tools align with patient treatment needs and enhance SUD care.
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