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Working Towards the Development and Implementation of Precision Mental Healthcare: An Example

Leonard Bickman’s (2020) Festschrift paper in the special issue “The Future of Children’s Mental Health Services” on improving mental health services is an impressive reflection of his career, highlighting his major insights and the development of mental health services research as a whole. Five maj...

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Autores principales: Lutz, Wolfgang, Schwartz, Brian, Martín Gómez Penedo, Juan, Boyle, Kaitlyn, Deisenhofer, Anne-Katharina
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer US 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8316220/
https://www.ncbi.nlm.nih.gov/pubmed/32715429
http://dx.doi.org/10.1007/s10488-020-01053-y
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author Lutz, Wolfgang
Schwartz, Brian
Martín Gómez Penedo, Juan
Boyle, Kaitlyn
Deisenhofer, Anne-Katharina
author_facet Lutz, Wolfgang
Schwartz, Brian
Martín Gómez Penedo, Juan
Boyle, Kaitlyn
Deisenhofer, Anne-Katharina
author_sort Lutz, Wolfgang
collection PubMed
description Leonard Bickman’s (2020) Festschrift paper in the special issue “The Future of Children’s Mental Health Services” on improving mental health services is an impressive reflection of his career, highlighting his major insights and the development of mental health services research as a whole. Five major difficulties in this field’s current research and practice are attentively delineated: poor diagnostics, measurement problems, disadvantages of randomized controlled trials (RCTs), lack of feedback and personalized treatments. Dr. Bickman recommends possible solutions based on his extensive experience and empirical findings. We agree with his thoughts and illustrate how we, challenged with the same problems, have attempted to develop clinically informed research and evidence-based clinical practice. A comprehensive feedback system that deals with the aforementioned problems is briefly described. It includes pre-treatment recommendations for treatment strategies and an empirically informed dropout prediction based on a variety of data sources. In addition to treatment recommendations, continuous feedback as well as individualized treatment adaptation tools are provided during ongoing therapy. New projects are being implemented to further improve the system by including new data assessment strategies and sources, e.g., ecological momentary assessment (EMA) and automated video analysis.
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spelling pubmed-83162202021-08-13 Working Towards the Development and Implementation of Precision Mental Healthcare: An Example Lutz, Wolfgang Schwartz, Brian Martín Gómez Penedo, Juan Boyle, Kaitlyn Deisenhofer, Anne-Katharina Adm Policy Ment Health Commentary Leonard Bickman’s (2020) Festschrift paper in the special issue “The Future of Children’s Mental Health Services” on improving mental health services is an impressive reflection of his career, highlighting his major insights and the development of mental health services research as a whole. Five major difficulties in this field’s current research and practice are attentively delineated: poor diagnostics, measurement problems, disadvantages of randomized controlled trials (RCTs), lack of feedback and personalized treatments. Dr. Bickman recommends possible solutions based on his extensive experience and empirical findings. We agree with his thoughts and illustrate how we, challenged with the same problems, have attempted to develop clinically informed research and evidence-based clinical practice. A comprehensive feedback system that deals with the aforementioned problems is briefly described. It includes pre-treatment recommendations for treatment strategies and an empirically informed dropout prediction based on a variety of data sources. In addition to treatment recommendations, continuous feedback as well as individualized treatment adaptation tools are provided during ongoing therapy. New projects are being implemented to further improve the system by including new data assessment strategies and sources, e.g., ecological momentary assessment (EMA) and automated video analysis. Springer US 2020-07-26 2020 /pmc/articles/PMC8316220/ /pubmed/32715429 http://dx.doi.org/10.1007/s10488-020-01053-y Text en © The Author(s) 2020, corrected publication 2021 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Commentary
Lutz, Wolfgang
Schwartz, Brian
Martín Gómez Penedo, Juan
Boyle, Kaitlyn
Deisenhofer, Anne-Katharina
Working Towards the Development and Implementation of Precision Mental Healthcare: An Example
title Working Towards the Development and Implementation of Precision Mental Healthcare: An Example
title_full Working Towards the Development and Implementation of Precision Mental Healthcare: An Example
title_fullStr Working Towards the Development and Implementation of Precision Mental Healthcare: An Example
title_full_unstemmed Working Towards the Development and Implementation of Precision Mental Healthcare: An Example
title_short Working Towards the Development and Implementation of Precision Mental Healthcare: An Example
title_sort working towards the development and implementation of precision mental healthcare: an example
topic Commentary
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8316220/
https://www.ncbi.nlm.nih.gov/pubmed/32715429
http://dx.doi.org/10.1007/s10488-020-01053-y
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