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Implementing Measurement-Based Care for Depression: Practical Solutions for Psychiatrists and Primary Care Physicians

Measurement-based care (MBC) can be defined as the clinical practice in which care providers collect patient data through validated outcome scales and use the results to guide their decision-making processes. Despite growing evidence supporting the effectiveness of MBC for depression and other menta...

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Autores principales: Hong, Ran Ha, Murphy, Jill K, Michalak, Erin E, Chakrabarty, Trisha, Wang, Zuowei, Parikh, Sagar V, Culpepper, Larry, Yatham, Lakshmi N, Lam, Raymond W, Chen, Jun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Dove 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7813452/
https://www.ncbi.nlm.nih.gov/pubmed/33469295
http://dx.doi.org/10.2147/NDT.S283731
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author Hong, Ran Ha
Murphy, Jill K
Michalak, Erin E
Chakrabarty, Trisha
Wang, Zuowei
Parikh, Sagar V
Culpepper, Larry
Yatham, Lakshmi N
Lam, Raymond W
Chen, Jun
author_facet Hong, Ran Ha
Murphy, Jill K
Michalak, Erin E
Chakrabarty, Trisha
Wang, Zuowei
Parikh, Sagar V
Culpepper, Larry
Yatham, Lakshmi N
Lam, Raymond W
Chen, Jun
author_sort Hong, Ran Ha
collection PubMed
description Measurement-based care (MBC) can be defined as the clinical practice in which care providers collect patient data through validated outcome scales and use the results to guide their decision-making processes. Despite growing evidence supporting the effectiveness of MBC for depression and other mental health conditions, many physicians and mental health clinicians have yet to adopt MBC practice. In part, this is due to individual and organizational barriers to implementing MBC in busy clinical settings. In this paper, we briefly review the evidence for the efficacy of MBC focusing on pharmacological management of depression and provide example clinical scenarios to illustrate its potential clinical utility in psychiatric settings. We discuss the barriers and challenges for MBC adoption and then address these by suggesting simple solutions to implement MBC for depression care, including recommended outcome scales, monitoring tools, and technology solutions such as cloud-based MBC services and mobile health apps for mood tracking. The availability of MBC tools, ranging from paper-pencil questionnaires to mobile health technology, can allow psychiatrists and clinicians in all types of practice settings to easily incorporate MBC into their practices and improve outcomes for their patients with depression.
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spelling pubmed-78134522021-01-18 Implementing Measurement-Based Care for Depression: Practical Solutions for Psychiatrists and Primary Care Physicians Hong, Ran Ha Murphy, Jill K Michalak, Erin E Chakrabarty, Trisha Wang, Zuowei Parikh, Sagar V Culpepper, Larry Yatham, Lakshmi N Lam, Raymond W Chen, Jun Neuropsychiatr Dis Treat Review Measurement-based care (MBC) can be defined as the clinical practice in which care providers collect patient data through validated outcome scales and use the results to guide their decision-making processes. Despite growing evidence supporting the effectiveness of MBC for depression and other mental health conditions, many physicians and mental health clinicians have yet to adopt MBC practice. In part, this is due to individual and organizational barriers to implementing MBC in busy clinical settings. In this paper, we briefly review the evidence for the efficacy of MBC focusing on pharmacological management of depression and provide example clinical scenarios to illustrate its potential clinical utility in psychiatric settings. We discuss the barriers and challenges for MBC adoption and then address these by suggesting simple solutions to implement MBC for depression care, including recommended outcome scales, monitoring tools, and technology solutions such as cloud-based MBC services and mobile health apps for mood tracking. The availability of MBC tools, ranging from paper-pencil questionnaires to mobile health technology, can allow psychiatrists and clinicians in all types of practice settings to easily incorporate MBC into their practices and improve outcomes for their patients with depression. Dove 2021-01-14 /pmc/articles/PMC7813452/ /pubmed/33469295 http://dx.doi.org/10.2147/NDT.S283731 Text en © 2021 Hong et al. http://creativecommons.org/licenses/by-nc/3.0/ This work is published and licensed by Dove Medical Press Limited. The full terms of this license are available at https://www.dovepress.com/terms.php and incorporate the Creative Commons Attribution – Non Commercial (unported, v3.0) License (http://creativecommons.org/licenses/by-nc/3.0/). By accessing the work you hereby accept the Terms. Non-commercial uses of the work are permitted without any further permission from Dove Medical Press Limited, provided the work is properly attributed. For permission for commercial use of this work, please see paragraphs 4.2 and 5 of our Terms (https://www.dovepress.com/terms.php).
spellingShingle Review
Hong, Ran Ha
Murphy, Jill K
Michalak, Erin E
Chakrabarty, Trisha
Wang, Zuowei
Parikh, Sagar V
Culpepper, Larry
Yatham, Lakshmi N
Lam, Raymond W
Chen, Jun
Implementing Measurement-Based Care for Depression: Practical Solutions for Psychiatrists and Primary Care Physicians
title Implementing Measurement-Based Care for Depression: Practical Solutions for Psychiatrists and Primary Care Physicians
title_full Implementing Measurement-Based Care for Depression: Practical Solutions for Psychiatrists and Primary Care Physicians
title_fullStr Implementing Measurement-Based Care for Depression: Practical Solutions for Psychiatrists and Primary Care Physicians
title_full_unstemmed Implementing Measurement-Based Care for Depression: Practical Solutions for Psychiatrists and Primary Care Physicians
title_short Implementing Measurement-Based Care for Depression: Practical Solutions for Psychiatrists and Primary Care Physicians
title_sort implementing measurement-based care for depression: practical solutions for psychiatrists and primary care physicians
topic Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7813452/
https://www.ncbi.nlm.nih.gov/pubmed/33469295
http://dx.doi.org/10.2147/NDT.S283731
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