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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...

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Autores principales: 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.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Medical Association 2021
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.
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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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