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Projected Estimates of Opioid Mortality After Community-Level Interventions
IMPORTANCE: The United States is experiencing a crisis of opioid overdose. In response, the US Department of Health and Human Services has defined a goal to reduce overdose mortality by 40% by 2022. OBJECTIVE: To identify specific combinations of 3 interventions (initiating more people to medication...
Autores principales: | , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
American Medical Association
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7885041/ https://www.ncbi.nlm.nih.gov/pubmed/33587136 http://dx.doi.org/10.1001/jamanetworkopen.2020.37259 |
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author | Linas, Benjamin P. Savinkina, Alexandra Madushani, R. W. M. A. Wang, Jianing Eftekhari Yazdi, Golnaz Chatterjee, Avik Walley, Alexander Y. Morgan, Jake R. Epstein, Rachel L. Assoumou, Sabrina A. Murphy, Sean M. Schackman, Bruce R. Chrysanthopoulou, Stavroula A. White, Laura F. Barocas, Joshua A. |
author_facet | Linas, Benjamin P. Savinkina, Alexandra Madushani, R. W. M. A. Wang, Jianing Eftekhari Yazdi, Golnaz Chatterjee, Avik Walley, Alexander Y. Morgan, Jake R. Epstein, Rachel L. Assoumou, Sabrina A. Murphy, Sean M. Schackman, Bruce R. Chrysanthopoulou, Stavroula A. White, Laura F. Barocas, Joshua A. |
author_sort | Linas, Benjamin P. |
collection | PubMed |
description | IMPORTANCE: The United States is experiencing a crisis of opioid overdose. In response, the US Department of Health and Human Services has defined a goal to reduce overdose mortality by 40% by 2022. OBJECTIVE: To identify specific combinations of 3 interventions (initiating more people to medications for opioid use disorder [MOUD], increasing 6-month retention with MOUD, and increasing naloxone distribution) associated with at least a 40% reduction in opioid overdose in simulated populations. DESIGN, SETTING, AND PARTICIPANTS: This decision analytical model used a dynamic population-level state-transition model to project outcomes over a 2-year horizon. Each intervention scenario was compared with the counterfactual of no intervention in simulated urban and rural communities in Massachusetts. Simulation modeling was used to determine the associations of community-level interventions with opioid overdose rates. The 3 examined interventions were initiation of more people to MOUD, increasing individuals’ retention with MOUD, and increasing distribution of naloxone. Data were analyzed from July to November 2020. MAIN OUTCOMES AND MEASURES: Reduction in overdose mortality, medication treatment capacity needs, and naloxone needs. RESULTS: No single intervention was associated with a 40% reduction in overdose mortality in the simulated communities. Reaching this goal required use of MOUD and naloxone. Achieving a 40% reduction required that 10% to 15% of the estimated OUD population not already receiving MOUD initiate MOUD every month, with 45% to 60%% retention for at least 6 months, and increased naloxone distribution. In all feasible settings and scenarios, attaining a 40% reduction in overdose mortality required that in every month, at least 10% of the population with OUD who were not currently receiving treatment initiate an MOUD. CONCLUSIONS AND RELEVANCE: In this modeling study, only communities with increased capacity for treating with MOUD and increased MOUD retention experienced a 40% decrease in overdose mortality. These findings could provide a framework for developing community-level interventions to reduce opioid overdose death. |
format | Online Article Text |
id | pubmed-7885041 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | American Medical Association |
record_format | MEDLINE/PubMed |
spelling | pubmed-78850412021-03-03 Projected Estimates of Opioid Mortality After Community-Level Interventions Linas, Benjamin P. Savinkina, Alexandra Madushani, R. W. M. A. Wang, Jianing Eftekhari Yazdi, Golnaz Chatterjee, Avik Walley, Alexander Y. Morgan, Jake R. Epstein, Rachel L. Assoumou, Sabrina A. Murphy, Sean M. Schackman, Bruce R. Chrysanthopoulou, Stavroula A. White, Laura F. Barocas, Joshua A. JAMA Netw Open Original Investigation IMPORTANCE: The United States is experiencing a crisis of opioid overdose. In response, the US Department of Health and Human Services has defined a goal to reduce overdose mortality by 40% by 2022. OBJECTIVE: To identify specific combinations of 3 interventions (initiating more people to medications for opioid use disorder [MOUD], increasing 6-month retention with MOUD, and increasing naloxone distribution) associated with at least a 40% reduction in opioid overdose in simulated populations. DESIGN, SETTING, AND PARTICIPANTS: This decision analytical model used a dynamic population-level state-transition model to project outcomes over a 2-year horizon. Each intervention scenario was compared with the counterfactual of no intervention in simulated urban and rural communities in Massachusetts. Simulation modeling was used to determine the associations of community-level interventions with opioid overdose rates. The 3 examined interventions were initiation of more people to MOUD, increasing individuals’ retention with MOUD, and increasing distribution of naloxone. Data were analyzed from July to November 2020. MAIN OUTCOMES AND MEASURES: Reduction in overdose mortality, medication treatment capacity needs, and naloxone needs. RESULTS: No single intervention was associated with a 40% reduction in overdose mortality in the simulated communities. Reaching this goal required use of MOUD and naloxone. Achieving a 40% reduction required that 10% to 15% of the estimated OUD population not already receiving MOUD initiate MOUD every month, with 45% to 60%% retention for at least 6 months, and increased naloxone distribution. In all feasible settings and scenarios, attaining a 40% reduction in overdose mortality required that in every month, at least 10% of the population with OUD who were not currently receiving treatment initiate an MOUD. CONCLUSIONS AND RELEVANCE: In this modeling study, only communities with increased capacity for treating with MOUD and increased MOUD retention experienced a 40% decrease in overdose mortality. These findings could provide a framework for developing community-level interventions to reduce opioid overdose death. American Medical Association 2021-02-15 /pmc/articles/PMC7885041/ /pubmed/33587136 http://dx.doi.org/10.1001/jamanetworkopen.2020.37259 Text en Copyright 2021 Linas BP et al. JAMA Network Open. http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the CC-BY License. |
spellingShingle | Original Investigation Linas, Benjamin P. Savinkina, Alexandra Madushani, R. W. M. A. Wang, Jianing Eftekhari Yazdi, Golnaz Chatterjee, Avik Walley, Alexander Y. Morgan, Jake R. Epstein, Rachel L. Assoumou, Sabrina A. Murphy, Sean M. Schackman, Bruce R. Chrysanthopoulou, Stavroula A. White, Laura F. Barocas, Joshua A. Projected Estimates of Opioid Mortality After Community-Level Interventions |
title | Projected Estimates of Opioid Mortality After Community-Level Interventions |
title_full | Projected Estimates of Opioid Mortality After Community-Level Interventions |
title_fullStr | Projected Estimates of Opioid Mortality After Community-Level Interventions |
title_full_unstemmed | Projected Estimates of Opioid Mortality After Community-Level Interventions |
title_short | Projected Estimates of Opioid Mortality After Community-Level Interventions |
title_sort | projected estimates of opioid mortality after community-level interventions |
topic | Original Investigation |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7885041/ https://www.ncbi.nlm.nih.gov/pubmed/33587136 http://dx.doi.org/10.1001/jamanetworkopen.2020.37259 |
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