Which Apps Help Depressive Patients? A Discussion of User-centric Features and Preferences

An increasing number of depressive people is not just now leading to the healthcare system being overburdened. Therapy places are limited and waiting times to start a therapy are long. So-called depression apps have been developed that to bridge the gap or supplement a therapy. A depression app can have various features. Design Science Research (DSR) oriented, we determine 15 specific features of a depression app based on results, findings, and knowledge from a literature review and 46 expert interviews (Family doctors/Psychotherapists/Psychiatrists, Developers, Patients). Our features are then classified with a survey with 624 patients into basic features, very important features, important features and less important features. User-specific features priorities are identified based on various characteristics. Finally, we discuss and evaluate our findings and present a further research agenda. App developers and healthcare providers can use our features and focus areas to provide user-centered depression apps.

Publication Details

Journal
Journal of the Association for Information Systems
Published
2024-12-15
Primary Topic
Digital Mental Health Interventions
Type
article
Field-Weighted Citation Impact
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article

Which Apps Help Depressive Patients? A Discussion of User-centric Features and Preferences

Journal of the Association for Information Systems
Digital Mental Health Interventions
article

Which Apps Help Depressive Patients? A Discussion of User-centric Features and Preferences

article en

Abstract

An increasing number of depressive people is not just now leading to the healthcare system being overburdened. Therapy places are limited and waiting times to start a therapy are long. So-called depression apps have been developed that to bridge the gap or supplement a therapy. A depression app can have various features. Design Science Research (DSR) oriented, we determine 15 specific features of a depression app based on results, findings, and knowledge from a literature review and 46 expert interviews (Family doctors/Psychotherapists/Psychiatrists, Developers, Patients). Our features are then classified with a survey with 624 patients into basic features, very important features, important features and less important features. User-specific features priorities are identified based on various characteristics. Finally, we discuss and evaluate our findings and present a further research agenda. App developers and healthcare providers can use our features and focus areas to provide user-centered depression apps.

Journal of the Association for Information Systems
Openalex Percentile: Top 45%
Digital Mental Health Interventions
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Which Apps Help Depressive Patients? A Discussion of User-centric Features and Preferences · Journal of the Association for Information Systems (2024) | TGRS Research Map | TGRS