User Experience and Acceptance of Patients and Healthy Adults testing a personalized self-management app against depression: A non-randomized Mixed-Methods Feasibility Study (Preprint)
BACKGROUND The development of e-mental health applications for patients with depression has shown technological advances to a certain extent. Many feasibility studies reveal the acceptance of patients and evidence for positive treatment outcomes. However, few studies ask for the user experience regarding the personalized help of specific treatment components in self-management apps. OBJECTIVE The aim of the present study is to ask for the user experience and acceptance of patients with depression and healthy adults, who tested the app SELFPASS. The results serve as a source for evidence-based recommendations for developers and clinicians regarding the graphical and conceptual design of a self-management app for patients with depression with and without anxiety symptoms. METHODS The sample consisted of N=110 participants, of which 41 (37.3%) were adult patients and 69 (62.7%) healthy adults. They tested the app SELFPASS over a period of 5 days and filled out a self-developed evaluation questionnaire. Quantitative measures asked with 5-point Likert scaled items (range: -2 to +2) for the perceived quality of the program and its components, its practicality (both referred to as user experience), and its acceptance. Student t tests and Pearson correlations were calculated for comparisons of groups and associations between the measures. Open text fields were analyzed by applying a qualitative structuring content analysis regarding suggestions for usability, therapeutic content and personalization. RESULTS The perceived quality of the total program (PQTP) was rated with M=0.96 (SD=0.82), the practicality (P) was M=0.84 (SD=0.08), and the acceptance (A) was M=0.25 (SD=1.04). Patients rated PQTP and A higher than healthy adults, while there was no difference in P. Acceptance was associated with increased depression scores (r=.33, P=.01), higher scores of PQTP (r=0.48, P<.001) and of P (r=0.45, P<.001). Feedback of both groups regarding the usability, the therapeutic content and personalization revealed a strong wish for guidance and insights into mood progress, opportunities for choice of interventions and features of customization for an individualized treatment. CONCLUSIONS Patients with depression accepted the app SELFPASS more than healthy adults and gave higher ratings in quality. User experience of all users reveals a strong need for features of guidance, choice and personalization, that clinicians and developers of future apps should pay special attention to. CLINICALTRIAL Trial Registration: DRKS (DRKS00015614).