User Acceptance of Computerized Cognitive Behavioral Therapy for Depression: Systematic Review.

BACKGROUND: Computerized cognitive behavioral therapy (cCBT) has been proven to be effective in depression care. Moreover, cCBT packages are becoming increasingly popular. A central aspect concerning the take-up and success of any treatment is its user acceptance. OBJECTIVE: The aim of this study was to update and expand on earlier work on user acceptance of cCBT for depression. METHODS: This paper systematically reviewed quantitative and qualitative studies regarding the user acceptance of cCBT for depression. The initial search was conducted in January 2016 and involved the following databases: Web of Science, PubMed, the Cochrane Library, and PsycINFO. Studies were retained if they described the explicit examination of the user acceptance, experiences, or satisfaction related to a cCBT intervention, if they reported depression as a primary outcome, and if they were published in German or English from July 2007 onward. RESULTS: A total of 1736 studies were identified, of which 29 studies were eligible for review. User acceptance was operationalized and analyzed very heterogeneously. Eight studies reported a very high level of acceptance, 17 indicated a high level of acceptance, and one study showed a moderate level of acceptance. Two qualitative studies considered the positive and negative aspects concerning the user acceptance of cCBT. However, a substantial proportion of reviewed studies revealed several methodical shortcomings. CONCLUSIONS: In general, people experience cCBT for depression as predominantly positive, which supports the potential role of these innovative treatments. However, methodological challenges do exist in terms of defining user acceptance, clear operationalization of concepts, and measurement.

[Innovative E-Health Approaches for Comorbid Depression in Patients with Obesity: Patient and Expert Perspectives on User Acceptance]. / Innovative E-Health-Ansätze für komorbide Depressionen bei Patienten mit Adipositas: Nutzungsakzeptanz aus Patienten- und Expertenperspektive.

Objective Patients with chronic somatic diseases such as obesity often suffer from comorbid depressive disorders and present a great challenge for the medical health care system. The study aims to investigate the user acceptance of an internet-based self-management program regarding depression (using the example of MoodGYM) from two different perspectives: (A) the perspective of patients as well as (B) the perspective of experts based on Rogers' 5 stages model of the innovation-decision process (2003). Methods This study is following a qualitative design including qualitative patient interviews (N = 7) and a focus group with medical experts (N = 12). Results Internet-based self-management programs represent a complementary treatment approach for patients and experts. Both groups see the need for combining the topics overweight, activity, depression and social interchange. Conclusion Patient and expert judgement showed a high degree of user acceptance for internet-based self-management programs regarding depression. The implementation of such programs within the medical care system of patients with obesity should take physical and social aspects of the illness into account.