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A Framework for Measurement Feedback to Improve Decision-Making in Mental Health

The authors present a multi-level framework for conceptualizing and designing measurement systems to improve decision-making in the treatment and prevention of child and adolescent mental health problems as well as the promotion of well-being. Also included is a description of the recommended driver...

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Detalles Bibliográficos
Autores principales: Seidman, Edward, Chorpita, Bruce F., Reay, William E., Stelk, Wayne, Garland, Ann F., Kutash, Krista, Mullican, Charlotte, Ringeisen, Heather
Formato: Texto
Lenguaje:English
Publicado: Springer US 2009
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2874030/
https://www.ncbi.nlm.nih.gov/pubmed/20041342
http://dx.doi.org/10.1007/s10488-009-0260-9
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author Seidman, Edward
Chorpita, Bruce F.
Reay, William E.
Stelk, Wayne
Garland, Ann F.
Kutash, Krista
Mullican, Charlotte
Ringeisen, Heather
author_facet Seidman, Edward
Chorpita, Bruce F.
Reay, William E.
Stelk, Wayne
Garland, Ann F.
Kutash, Krista
Mullican, Charlotte
Ringeisen, Heather
author_sort Seidman, Edward
collection PubMed
description The authors present a multi-level framework for conceptualizing and designing measurement systems to improve decision-making in the treatment and prevention of child and adolescent mental health problems as well as the promotion of well-being. Also included is a description of the recommended drivers of the development and refinement of these measurement systems and the importance of the architecture upon which these measurement systems are built. The authors conclude with a set of recommendations for the next steps for the field.
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spelling pubmed-28740302010-06-04 A Framework for Measurement Feedback to Improve Decision-Making in Mental Health Seidman, Edward Chorpita, Bruce F. Reay, William E. Stelk, Wayne Garland, Ann F. Kutash, Krista Mullican, Charlotte Ringeisen, Heather Adm Policy Ment Health Original Paper The authors present a multi-level framework for conceptualizing and designing measurement systems to improve decision-making in the treatment and prevention of child and adolescent mental health problems as well as the promotion of well-being. Also included is a description of the recommended drivers of the development and refinement of these measurement systems and the importance of the architecture upon which these measurement systems are built. The authors conclude with a set of recommendations for the next steps for the field. Springer US 2009-12-30 2010 /pmc/articles/PMC2874030/ /pubmed/20041342 http://dx.doi.org/10.1007/s10488-009-0260-9 Text en © The Author(s) 2009 https://creativecommons.org/licenses/by-nc/4.0/ This article is distributed under the terms of the Creative Commons Attribution Noncommercial License which permits any noncommercial use, distribution, and reproduction in any medium, provided the original author(s) and source are credited.
spellingShingle Original Paper
Seidman, Edward
Chorpita, Bruce F.
Reay, William E.
Stelk, Wayne
Garland, Ann F.
Kutash, Krista
Mullican, Charlotte
Ringeisen, Heather
A Framework for Measurement Feedback to Improve Decision-Making in Mental Health
title A Framework for Measurement Feedback to Improve Decision-Making in Mental Health
title_full A Framework for Measurement Feedback to Improve Decision-Making in Mental Health
title_fullStr A Framework for Measurement Feedback to Improve Decision-Making in Mental Health
title_full_unstemmed A Framework for Measurement Feedback to Improve Decision-Making in Mental Health
title_short A Framework for Measurement Feedback to Improve Decision-Making in Mental Health
title_sort framework for measurement feedback to improve decision-making in mental health
topic Original Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2874030/
https://www.ncbi.nlm.nih.gov/pubmed/20041342
http://dx.doi.org/10.1007/s10488-009-0260-9
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