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Application of an Opioid Use Disorder Cascade of Care in a Large Public Health System

BACKGROUND: Over the past decade, hospitals and health systems have increasingly adopted interventions to address the needs of patients with substance use disorders. The Opioid Use Disorder (OUD) Cascade of Care provides a framework for organizing and tracking patient health milestones over time, an...

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Autores principales: Carter, Emily, Schatz, Daniel, Isaacs, Noah, Garcia, Juan, Henry, Brandy, Krawczyk, Noa, Williams, Arthur Robin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Cold Spring Harbor Laboratory 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10614983/
https://www.ncbi.nlm.nih.gov/pubmed/37905052
http://dx.doi.org/10.1101/2023.10.19.23297271
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author Carter, Emily
Schatz, Daniel
Isaacs, Noah
Garcia, Juan
Henry, Brandy
Krawczyk, Noa
Williams, Arthur Robin
author_facet Carter, Emily
Schatz, Daniel
Isaacs, Noah
Garcia, Juan
Henry, Brandy
Krawczyk, Noa
Williams, Arthur Robin
author_sort Carter, Emily
collection PubMed
description BACKGROUND: Over the past decade, hospitals and health systems have increasingly adopted interventions to address the needs of patients with substance use disorders. The Opioid Use Disorder (OUD) Cascade of Care provides a framework for organizing and tracking patient health milestones over time, and can assist health systems in identifying areas of intervention to prevent overdose and maximize the impact of evidence-based services for patients with OUD. However, detailed protocols are needed to guide health systems in how to operationalize the OUD Cascade and track outcomes using their systems’ electronic medical records (EMR). OBJECTIVE: In this paper, we describe the process of operationalizing and implementing the OUD Cascade in one large, urban, public hospital system. METHODS: Through this case example, we describe the technical processes around data mining, as well as the decision-making processes, challenges encountered, and lessons learned from compiling patient data and defining stages and outcome measures for the OUD Cascade of Care. The current established framework and process will set the stage for subsequent research studies that quantify and evaluate patient progression through each stage of OUD treatment across the health system and identify target areas for quality improvement initiatives to better engage patients in care and improve health outcomes. RESULTS: The current paper can therefore serve as a primer for other health systems seeking to implement a data-informed approach to guide more efficient care and improved substance use-related outcomes. CONCLUSION: An OUD Cascade of Care must be tailored to local systems based on inherent data limitations and services design.
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spelling pubmed-106149832023-10-31 Application of an Opioid Use Disorder Cascade of Care in a Large Public Health System Carter, Emily Schatz, Daniel Isaacs, Noah Garcia, Juan Henry, Brandy Krawczyk, Noa Williams, Arthur Robin medRxiv Article BACKGROUND: Over the past decade, hospitals and health systems have increasingly adopted interventions to address the needs of patients with substance use disorders. The Opioid Use Disorder (OUD) Cascade of Care provides a framework for organizing and tracking patient health milestones over time, and can assist health systems in identifying areas of intervention to prevent overdose and maximize the impact of evidence-based services for patients with OUD. However, detailed protocols are needed to guide health systems in how to operationalize the OUD Cascade and track outcomes using their systems’ electronic medical records (EMR). OBJECTIVE: In this paper, we describe the process of operationalizing and implementing the OUD Cascade in one large, urban, public hospital system. METHODS: Through this case example, we describe the technical processes around data mining, as well as the decision-making processes, challenges encountered, and lessons learned from compiling patient data and defining stages and outcome measures for the OUD Cascade of Care. The current established framework and process will set the stage for subsequent research studies that quantify and evaluate patient progression through each stage of OUD treatment across the health system and identify target areas for quality improvement initiatives to better engage patients in care and improve health outcomes. RESULTS: The current paper can therefore serve as a primer for other health systems seeking to implement a data-informed approach to guide more efficient care and improved substance use-related outcomes. CONCLUSION: An OUD Cascade of Care must be tailored to local systems based on inherent data limitations and services design. Cold Spring Harbor Laboratory 2023-10-19 /pmc/articles/PMC10614983/ /pubmed/37905052 http://dx.doi.org/10.1101/2023.10.19.23297271 Text en https://creativecommons.org/licenses/by-nc-nd/4.0/This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License (https://creativecommons.org/licenses/by-nc-nd/4.0/) , which allows reusers to copy and distribute the material in any medium or format in unadapted form only, for noncommercial purposes only, and only so long as attribution is given to the creator.
spellingShingle Article
Carter, Emily
Schatz, Daniel
Isaacs, Noah
Garcia, Juan
Henry, Brandy
Krawczyk, Noa
Williams, Arthur Robin
Application of an Opioid Use Disorder Cascade of Care in a Large Public Health System
title Application of an Opioid Use Disorder Cascade of Care in a Large Public Health System
title_full Application of an Opioid Use Disorder Cascade of Care in a Large Public Health System
title_fullStr Application of an Opioid Use Disorder Cascade of Care in a Large Public Health System
title_full_unstemmed Application of an Opioid Use Disorder Cascade of Care in a Large Public Health System
title_short Application of an Opioid Use Disorder Cascade of Care in a Large Public Health System
title_sort application of an opioid use disorder cascade of care in a large public health system
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10614983/
https://www.ncbi.nlm.nih.gov/pubmed/37905052
http://dx.doi.org/10.1101/2023.10.19.23297271
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