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Paper Number
3201
Paper Type
Complete
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.
Recommended Citation
Schulte, Fenja; Borchers, Finn; Warnemünde-Jagau, Paula; Jankowski, Irene; Kahl, Kai G.; and Breitner, Michael H., "Which Apps Help Depressive Patients? A Discussion of User-centric Features and Preferences" (2024). ICIS 2024 Proceedings. 10.
https://aisel.aisnet.org/icis2024/ishealthcare/ishealthcare/10
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.
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