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

Dennis Becker

doi:10.1007/978-3-030-03402-3_8

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

Dennis Becker^*

^*Korrespondierende/r Autor/-in für diese Arbeit

Publikation: Beiträge in Sammelwerken › Aufsätze in Konferenzbänden › Forschung › Begutachtung

5 Zitate (Scopus)

Abstract

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.

Originalsprache	Englisch
Titel	Advances in Information and Communication Networks : Proceedings of the 2018 Future of Information and Communication Conference FICC, Vol. 1
Redakteure/-innen	Kohei Arai, Supriya Kapoor, Rahul Bhatia
Seitenumfang	22
Herausgeber (Verlag)	Springer Verlag
Erscheinungsdatum	01.01.2019
Seiten	91-112
ISBN (Print)	978-3-030-03401-6
ISBN (elektronisch)	978-3-030-03402-3
DOIs	https://doi.org/10.1007/978-3-030-03402-3_8
Publikationsstatus	Erschienen - 01.01.2019
Veranstaltung	Future of Information and Communication Conference - Singapore, Singapur Dauer: 05.04.2018 → 06.04.2018 https://saiconference.com/Conferences/FICC2018

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Becker, D. (2019). Possibilities to improve online mental health treatment: Recommendations for future research and developments. in K. Arai, S. Kapoor, & R. Bhatia (Hrsg.), Advances in Information and Communication Networks: Proceedings of the 2018 Future of Information and Communication Conference FICC, Vol. 1 (S. 91-112). (Advances in Intelligent Systems and Computing; Band 886). Springer Verlag. https://doi.org/10.1007/978-3-030-03402-3_8

Becker, Dennis. / Possibilities to improve online mental health treatment : Recommendations for future research and developments. Advances in Information and Communication Networks: Proceedings of the 2018 Future of Information and Communication Conference FICC, Vol. 1. Hrsg. / Kohei Arai ; Supriya Kapoor ; Rahul Bhatia. Springer Verlag, 2019. S. 91-112 (Advances in Intelligent Systems and Computing).

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abstract = "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{\textquoteright} adherence. Personalization of treatment and client improvement tracking appears to provide the most potential to improve clients{\textquoteright} 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.",

keywords = "Business informatics, e-mental-health, Online treatment, Outcome prediction",

author = "Dennis Becker",

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booktitle = "Advances in Information and Communication Networks",

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Becker, D 2019, Possibilities to improve online mental health treatment: Recommendations for future research and developments. in K Arai, S Kapoor & R Bhatia (Hrsg.), Advances in Information and Communication Networks: Proceedings of the 2018 Future of Information and Communication Conference FICC, Vol. 1. Advances in Intelligent Systems and Computing, Bd. 886, Springer Verlag, S. 91-112, Future of Information and Communication Conference, Singapore, Singapur, 05.04.18. https://doi.org/10.1007/978-3-030-03402-3_8

Possibilities to improve online mental health treatment: Recommendations for future research and developments. / Becker, Dennis.
Advances in Information and Communication Networks: Proceedings of the 2018 Future of Information and Communication Conference FICC, Vol. 1. Hrsg. / Kohei Arai; Supriya Kapoor; Rahul Bhatia. Springer Verlag, 2019. S. 91-112 (Advances in Intelligent Systems and Computing; Band 886).

Publikation: Beiträge in Sammelwerken › Aufsätze in Konferenzbänden › Forschung › Begutachtung

TY - CHAP

T1 - Possibilities to improve online mental health treatment

T2 - Future of Information and Communication Conference - FICC 2018

AU - Becker, Dennis

PY - 2019/1/1

Y1 - 2019/1/1

N2 - 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.

AB - 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.

KW - Business informatics

KW - e-mental-health

KW - Online treatment

KW - Outcome prediction

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DO - 10.1007/978-3-030-03402-3_8

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AN - SCOPUS:85058538452

SN - 978-3-030-03401-6

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BT - Advances in Information and Communication Networks

A2 - Arai, Kohei

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PB - Springer Verlag

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Becker D. Possibilities to improve online mental health treatment: Recommendations for future research and developments. in Arai K, Kapoor S, Bhatia R, Hrsg., Advances in Information and Communication Networks: Proceedings of the 2018 Future of Information and Communication Conference FICC, Vol. 1. Springer Verlag. 2019. S. 91-112. (Advances in Intelligent Systems and Computing). doi: 10.1007/978-3-030-03402-3_8

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

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