Three Flavorings for a Soup to Cure what Ails Mental Health Services

C. Hendricks Brown

doi:10.1007/s10488-020-01060-z

Three Flavorings for a Soup to Cure what Ails Mental Health Services

C. Hendricks Brown^*

^*Corresponding author for this work

Psychiatry and Behavioral Sciences

Research output: Contribution to journal › Comment/debate › peer-review

6 Scopus citations

Abstract

With new tools from artificial intelligence and new perspectives on personalizing interventions, we could revolutionize the way mental health services are delivered and achieve major gains in improving the public’s mental health. We examine Dr. Bickman’s vision around these technological and paradigm changes that would usher in major scientific, workforce training, and societal cultural changes. We argue that additional efforts in research evaluations in implementation have the potential to scale up and adapt existing interventions and scale them out to diverse populations and service systems. The next stage of this work involves testing the effectiveness of personalized interventions that are preferred by the public and integrating these choices into sustainable service systems. We note cautions on the delivery of these programs as automated algorithmic recommendations are heretofore foreign to humans.

Original language	English (US)
Pages (from-to)	844-851
Number of pages	8
Journal	Administration and Policy in Mental Health and Mental Health Services Research
Volume	47
Issue number	5
DOIs	https://doi.org/10.1007/s10488-020-01060-z
State	Published - Sep 1 2020

Funding

I would like to thank all my colleagues in the Center for Prevention Implementation Methodology (Ce-PIM) for all the many contributions to this commentary and to their willingness to let their disciplines intermingle and coalesce. I also thank the National Institute on Drug Abuse (NIDA) and the NIH Office of Disease Prevention for their support for Ce-PIM (P30DA027828, Brown PI), NIDA for support for sustainment measurement (R34DA037516, Palinkas PI), as well as the National Institute of Mental Health for support on synthesis across trials (R01MH117598, Brown PI). The material in this paper is the responsibility of the author and does not necessarily reflect the opinions of the funders or my colleagues.

Keywords

Artificial intelligence
Implementation trials
Machine learning
Mental health services
N-of-1 designs
Personalized interventions
Scaling down
Scaling out
Scaling up

ASJC Scopus subject areas

Public Health, Environmental and Occupational Health
Psychiatry and Mental health
Health Policy
Phychiatric Mental Health

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10.1007/s10488-020-01060-z

Cite this

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abstract = "With new tools from artificial intelligence and new perspectives on personalizing interventions, we could revolutionize the way mental health services are delivered and achieve major gains in improving the public{\textquoteright}s mental health. We examine Dr. Bickman{\textquoteright}s vision around these technological and paradigm changes that would usher in major scientific, workforce training, and societal cultural changes. We argue that additional efforts in research evaluations in implementation have the potential to scale up and adapt existing interventions and scale them out to diverse populations and service systems. The next stage of this work involves testing the effectiveness of personalized interventions that are preferred by the public and integrating these choices into sustainable service systems. We note cautions on the delivery of these programs as automated algorithmic recommendations are heretofore foreign to humans.",

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Three Flavorings for a Soup to Cure what Ails Mental Health Services

Abstract

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Keywords

ASJC Scopus subject areas

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