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基于主体模型的社区与监狱联合发放纳洛酮带回家计划

Agent-Based Model of Combined Community- and Jail-Based Take-Home Naloxone Distribution.

作者信息

Tatara Eric, Ozik Jonathan, Pollack Harold A, Schneider John A, Friedman Samuel R, Harawa Nina T, Boodram Basmattee, Salisbury-Afshar Elizabeth, Hotton Anna, Ouellet Larry, Mackesy-Amiti Mary Ellen, Collier Nicholson, Macal Charles M

机构信息

Decision and Infrastructure Sciences Division, Argonne National Laboratory, Lemont, Illinois.

Consortium for Advanced Science and Engineering, The University of Chicago, Chicago, Illinois.

出版信息

JAMA Netw Open. 2024 Dec 2;7(12):e2448732. doi: 10.1001/jamanetworkopen.2024.48732.

Abstract

IMPORTANCE

Opioid-related overdose accounts for almost 80 000 deaths annually across the US. People who use drugs leaving jails are at particularly high risk for opioid-related overdose and may benefit from take-home naloxone (THN) distribution.

OBJECTIVE

To estimate the population impact of THN distribution at jail release to reverse opioid-related overdose among people with opioid use disorders.

DESIGN, SETTING, AND PARTICIPANTS: This study developed the agent-based Justice-Community Circulation Model (JCCM) to model a synthetic population of individuals with and without a history of opioid use. Epidemiological data from 2014 to 2020 for Cook County, Illinois, were used to identify parameters pertinent to the synthetic population. Twenty-seven experimental scenarios were examined to capture diverse strategies of THN distribution and use. Sensitivity analysis was performed to identify critical mediating and moderating variables associated with population impact and a proxy metric for cost-effectiveness (ie, the direct costs of THN kits distributed per death averted). Data were analyzed between February 2022 and March 2024.

INTERVENTION

Modeled interventions included 3 THN distribution channels: community facilities and practitioners; jail, at release; and social network or peers of persons released from jail.

MAIN OUTCOMES AND MEASURES

The primary outcome was the percentage of opioid-related overdose deaths averted with THN in the modeled population relative to a baseline scenario with no intervention.

RESULTS

Take-home naloxone distribution at jail release had the highest median (IQR) percentage of averted deaths at 11.70% (6.57%-15.75%). The probability of bystander presence at an opioid overdose showed the greatest proportional contribution (27.15%) to the variance in deaths averted in persons released from jail. The estimated costs of distributed THN kits were less than $15 000 per averted death in all 27 scenarios.

CONCLUSIONS AND RELEVANCE

This study found that THN distribution at jail release is an economical and feasible approach to substantially reducing opioid-related overdose mortality. Training and preparation of proficient and willing bystanders are central factors in reaching the full potential of this intervention.

摘要

重要性

在美国,每年与阿片类药物相关的过量用药导致近8万人死亡。从监狱获释的吸毒者面临与阿片类药物相关的过量用药的特别高风险,可能会受益于发放带回家的纳洛酮(THN)。

目的

评估在监狱释放时发放THN对逆转阿片类药物使用障碍患者中与阿片类药物相关的过量用药的人群影响。

设计、背景和参与者:本研究开发了基于主体的司法-社区流通模型(JCCM),以模拟有和没有阿片类药物使用史的合成人群。使用伊利诺伊州库克县2014年至2020年的流行病学数据来确定与合成人群相关参数。研究了27个实验场景,以捕捉THN发放和使用的不同策略。进行敏感性分析,以确定与人群影响相关的关键中介和调节变量以及成本效益的代理指标(即每避免一例死亡所发放的THN试剂盒的直接成本)。在2022年2月至2024年3月期间对数据进行了分析。

干预措施

模拟干预措施包括3种THN发放渠道:社区设施和从业者;在释放时的监狱;以及从监狱获释人员的社交网络或同伴。

主要结局和指标

主要结局是在模拟人群中,与无干预的基线场景相比,THN避免的与阿片类药物相关的过量用药死亡的百分比。

结果

在监狱释放时发放带回家的纳洛酮,避免死亡的中位数(IQR)百分比最高,为11.70%(6.57%-15.75%)。阿片类药物过量用药时旁观者在场的概率对从监狱获释人员避免死亡的方差显示出最大的比例贡献(27.15%)。在所有27个场景中,估计发放的THN试剂盒的成本低于每避免一例死亡15000美元。

结论和意义

本研究发现,在监狱释放时发放THN是大幅降低与阿片类药物相关的过量用药死亡率的经济可行方法。培训和准备熟练且愿意的旁观者是充分发挥这一干预措施潜力的核心因素。

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