Possibilities to improve online mental health treatment: Recommendations for future research and developments

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Online mental health treatment has the potential to meet the increasing demand for mental health treatment. But low adherence to the treatment remains a problem that endangers treatment outcomes and their cost-effectiveness. This literature review compares predictors of adherence and outcome for clinical and online treatment of mental disorders to identify ways to improve the efficacy of online treatment and increase clients’ adherence. Personalization of treatment and client improvement tracking appears to provide the most potential to improve clients’ outcome and increase the cost-effectiveness of online treatment. Overall, it was noticed that decision support tools to improve online treatment are commonly not utilized and that their influence on treatment is unknown. However, integration of statistical methods into online treatment and research of their influence on the client has begun. Decision support systems derived from predictors of adherence might be required for personalization of online treatments and to improve outcome and cost-effectiveness to ease the burden of mental disorders.

TitelAdvances in Information and Communication Networks : Proceedings of the 2018 Future of Information and Communication Conference FICC, Vol. 1
Redakteure/-innenKohei Arai, Supriya Kapoor, Rahul Bhatia
Anzahl der Seiten22
ISBN (Print)978-3-030-03401-6
ISBN (elektronisch)978-3-030-03402-3
PublikationsstatusErschienen - 01.01.2019
VeranstaltungFuture of Information and Communication Conference - FICC 2018 - Singapore, Singapur
Dauer: 05.04.201806.04.2018