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Building a Group-Based Opioid Treatment (GBOT) blueprint: a qualitative study delineating GBOT implementation
BACKGROUND: Group-Based Opioid Treatment (GBOT) has recently emerged as a mechanism for treating patients with opioid use disorder (OUD) in the outpatient setting. However, the more practical “how to” components of successfully delivering GBOT has received little attention in the medical literature,...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6935085/ https://www.ncbi.nlm.nih.gov/pubmed/31882001 http://dx.doi.org/10.1186/s13722-019-0176-y |
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author | Sokol, Randi Albanese, Mark Chew, Aaronson Early, Jessica Grossman, Ellie Roll, David Sawin, Greg Wu, Dominic J. Schuman-Olivier, Zev |
author_facet | Sokol, Randi Albanese, Mark Chew, Aaronson Early, Jessica Grossman, Ellie Roll, David Sawin, Greg Wu, Dominic J. Schuman-Olivier, Zev |
author_sort | Sokol, Randi |
collection | PubMed |
description | BACKGROUND: Group-Based Opioid Treatment (GBOT) has recently emerged as a mechanism for treating patients with opioid use disorder (OUD) in the outpatient setting. However, the more practical “how to” components of successfully delivering GBOT has received little attention in the medical literature, potentially limiting its widespread implementation and utilization. Building on a previous case series, this paper delineates the key components to implementing GBOT by asking: (a) What are the core components to GBOT implementation, and how are they defined? (b) What are the malleable components to GBOT implementation, and what conceptual framework should providers use in determining how to apply these components for effective delivery in their unique clinical environment? METHODS: To create a blueprint delineating GBOT implementation, we integrated findings from a previously conducted and separately published systematic review of existing GBOT studies, conducted additional literature review, reviewed best practice recommendations and policies related to GBOT and organizational frameworks for implementing health systems change. We triangulated this data with a qualitative thematic analysis from 5 individual interviews and 2 focus groups representing leaders from 5 different GBOT programs across our institution to identify the key components to GBOT implementation, distinguish “core” and “malleable” components, and provide a conceptual framework for considering various options for implementing the malleable components. RESULTS: We identified 6 core components to GBOT implementation that optimize clinical outcomes, comply with mandatory policies and regulations, ensure patient and staff safety, and promote sustainability in delivery. These included consistent group expectations, team-based approach to care, safe and confidential space, billing compliance, regular monitoring, and regular patient participation. We identified 14 malleable components and developed a novel conceptual framework that providers can apply when deciding how to employ each malleable component that considers empirical, theoretical and practical dimensions. CONCLUSION: While further research on the effectiveness of GBOT and its individual implementation components is needed, the blueprint outlined here provides an initial framework to help office-based opioid treatment sites implement a successful GBOT approach and hence potentially serve as future study sites to establish efficacy of the model. This blueprint can also be used to continuously monitor how components of GBOT influence treatment outcomes, providing an empirical framework for the ongoing process of refining implementation strategies. |
format | Online Article Text |
id | pubmed-6935085 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-69350852019-12-30 Building a Group-Based Opioid Treatment (GBOT) blueprint: a qualitative study delineating GBOT implementation Sokol, Randi Albanese, Mark Chew, Aaronson Early, Jessica Grossman, Ellie Roll, David Sawin, Greg Wu, Dominic J. Schuman-Olivier, Zev Addict Sci Clin Pract Research BACKGROUND: Group-Based Opioid Treatment (GBOT) has recently emerged as a mechanism for treating patients with opioid use disorder (OUD) in the outpatient setting. However, the more practical “how to” components of successfully delivering GBOT has received little attention in the medical literature, potentially limiting its widespread implementation and utilization. Building on a previous case series, this paper delineates the key components to implementing GBOT by asking: (a) What are the core components to GBOT implementation, and how are they defined? (b) What are the malleable components to GBOT implementation, and what conceptual framework should providers use in determining how to apply these components for effective delivery in their unique clinical environment? METHODS: To create a blueprint delineating GBOT implementation, we integrated findings from a previously conducted and separately published systematic review of existing GBOT studies, conducted additional literature review, reviewed best practice recommendations and policies related to GBOT and organizational frameworks for implementing health systems change. We triangulated this data with a qualitative thematic analysis from 5 individual interviews and 2 focus groups representing leaders from 5 different GBOT programs across our institution to identify the key components to GBOT implementation, distinguish “core” and “malleable” components, and provide a conceptual framework for considering various options for implementing the malleable components. RESULTS: We identified 6 core components to GBOT implementation that optimize clinical outcomes, comply with mandatory policies and regulations, ensure patient and staff safety, and promote sustainability in delivery. These included consistent group expectations, team-based approach to care, safe and confidential space, billing compliance, regular monitoring, and regular patient participation. We identified 14 malleable components and developed a novel conceptual framework that providers can apply when deciding how to employ each malleable component that considers empirical, theoretical and practical dimensions. CONCLUSION: While further research on the effectiveness of GBOT and its individual implementation components is needed, the blueprint outlined here provides an initial framework to help office-based opioid treatment sites implement a successful GBOT approach and hence potentially serve as future study sites to establish efficacy of the model. This blueprint can also be used to continuously monitor how components of GBOT influence treatment outcomes, providing an empirical framework for the ongoing process of refining implementation strategies. BioMed Central 2019-12-27 2019 /pmc/articles/PMC6935085/ /pubmed/31882001 http://dx.doi.org/10.1186/s13722-019-0176-y Text en © The Author(s) 2019 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/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Sokol, Randi Albanese, Mark Chew, Aaronson Early, Jessica Grossman, Ellie Roll, David Sawin, Greg Wu, Dominic J. Schuman-Olivier, Zev Building a Group-Based Opioid Treatment (GBOT) blueprint: a qualitative study delineating GBOT implementation |
title | Building a Group-Based Opioid Treatment (GBOT) blueprint: a qualitative study delineating GBOT implementation |
title_full | Building a Group-Based Opioid Treatment (GBOT) blueprint: a qualitative study delineating GBOT implementation |
title_fullStr | Building a Group-Based Opioid Treatment (GBOT) blueprint: a qualitative study delineating GBOT implementation |
title_full_unstemmed | Building a Group-Based Opioid Treatment (GBOT) blueprint: a qualitative study delineating GBOT implementation |
title_short | Building a Group-Based Opioid Treatment (GBOT) blueprint: a qualitative study delineating GBOT implementation |
title_sort | building a group-based opioid treatment (gbot) blueprint: a qualitative study delineating gbot implementation |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6935085/ https://www.ncbi.nlm.nih.gov/pubmed/31882001 http://dx.doi.org/10.1186/s13722-019-0176-y |
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