Estimated Reductions in Opioid Overdose Deaths With Sustainment of Public Health Interventions in 4 US States.
Estimated Reductions in Opioid Overdose Deaths With Sustainment of Public Health Interventions in 4 US States.
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DOI:
10.1001/jamanetworkopen.2023.14925
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发表时间:
2023-06-01
影响因子:
13.8
通讯作者:
Barbosa, Carolina
中科院分区:
文献类型:
--
作者:
Chhatwal, Jagpreet;Mueller, Peter P.;Chen, Qiushi;Kulkarni, Neeti;Adee, Madeline;Zarkin, Gary;LaRochelle, Marc R.;Knudsen, Amy B.;Barbosa, Carolina
What is the association of sustaining public health interventions with the reduction in opioid-related overdose deaths (OODs) in 4 US states? In this decision analytical model that simulated the opioid epidemic in Kentucky, Massachusetts, New York, and Ohio, 4 states highly affected by the opioid epidemic, a 2- to 5-fold increase in initiation and retention of medications for opioid use disorder along with increased supply of naloxone could reduce OODs by an estimated 13% to 17% in Kentucky, 17% to 27% in Massachusetts, 15% to 22% in New York, and 15% to 22% in Ohio after 2 years, compared with the status quo. Sustaining these interventions for 3 additional years could reduce the annual number of OODs at the end of 5 years by 18% to 27% in Kentucky, 28% to 46% in Massachusetts, 22% to 34% in New York, and 25% to 41% in Ohio. These findings suggest that sustained implementation of a combination of interventions is critical for achieving a reduction in the annual number of opioid overdose deaths and preventing deaths from increasing again in states highly affected by the opioid epidemic. This decision analytical model estimates the change in the projected number of opioid-related overdose deaths under different durations of public health interventions, including increasing initiation and retention of medications for opioid use disorder and naloxone distribution efforts. In 2021, more than 80 000 US residents died from an opioid overdose. Public health intervention initiatives, such as the Helping to End Addiction Long-term (HEALing) Communities Study (HCS), are being launched with the goal of reducing opioid-related overdose deaths (OODs). To estimate the change in the projected number of OODs under different scenarios of the duration of sustainment of interventions, compared with the status quo. This decision analytical model simulated the opioid epidemic in the 4 states participating in the HCS (ie, Kentucky, Massachusetts, New York, and Ohio) from 2020 to 2026. Participants were a simulated population transitioning from opioid misuse to opioid use disorder (OUD), overdose, treatment, and relapse. The model was calibrated using 2015 to 2020 data from the National Survey on Drug Use and Health, the US Centers for Disease Control and Prevention, and other sources for each state. The model accounts for reduced initiation of medications for OUD (MOUDs) and increased OODs during the COVID-19 pandemic. Increasing MOUD initiation by 2- or 5-fold, improving MOUD retention to the rates achieved in clinical trial settings, increasing naloxone distribution efforts, and furthering safe opioid prescribing. An initial 2-year duration of interventions was simulated, with potential sustainment for up to 3 additional years. Projected reduction in number of OODs under different combinations and durations of sustainment of interventions. Compared with the status quo, the estimated annual reduction in OODs at the end of the second year of interventions was 13% to 17% in Kentucky, 17% to 27% in Massachusetts, 15% to 22% in New York, and 15% to 22% in Ohio. Sustaining all interventions for an additional 3 years was estimated to reduce the annual number of OODs at the end of the fifth year by 18% to 27% in Kentucky, 28% to 46% in Massachusetts, 22% to 34% in New York, and 25% to 41% in Ohio. The longer the interventions were sustained, the better the outcomes; however, these positive gains would be washed out if interventions were not sustained. In this decision analytical model study of the opioid epidemic in 4 US states, sustained implementation of interventions, including increased delivery of MOUDs and naloxone supply, was found to be needed to reduce OODs and prevent deaths from increasing again.
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影响因子:
2.8
作者:
Husereau D;Drummond M;Augustovski F;de Bekker-Grob E;Briggs AH;Carswell C;Caulley L;Chaiyakunapruk N;Greenberg D;Loder E;Mauskopf J;Mullins CD;Petrou S;Pwu RF;Staniszewska S;CHEERS 2022 ISPOR Good Research Practices Task Force
通讯作者:
CHEERS 2022 ISPOR Good Research Practices Task Force
DOI:
10.1111/add.13265
发表时间:
2016-05
期刊:
Addiction (Abingdon, England)
影响因子:
--
作者:
Bird SM;McAuley A;Perry S;Hunter C
通讯作者:
Hunter C
影响因子:
13.8
作者:
Cartus AR;Li Y;Macmadu A;Goedel WC;Allen B;Cerdá M;Marshall BDL
通讯作者:
Marshall BDL
影响因子:
12.7
作者:
Friedman, Joseph;Akre, Samir
通讯作者:
Akre, Samir
影响因子:
13.8
作者:
Currie JM;Schnell MK;Schwandt H;Zhang J
通讯作者:
Zhang J