Zwick Hana, O'Dea Ryan, Barocas Joshua A, Flam-Ross Juliet Miko, Chatterjee Avik, Walley Alexander Y, Harris Rebecca Arden, Schackman Bruce R, White Laura F, Chrysanthopoulou Stavroula A, Assoumou Sabrina A, Murphy Sean M, Morgan Jake R, Baptiste Dimitri, Carroll Matthew, Linas Benjamin Paul
Section of Infectious Diseases, Boston Medical Center, Boston, Massachusetts.
University of Colorado Anschutz Medical Campus, Aurora.
JAMA Netw Open. 2025 Jun 2;8(6):e2517095. doi: 10.1001/jamanetworkopen.2025.17095.
Many US communities face a crisis of people experiencing unsheltered homelessness often intertwined with opioid use. Jurisdictions seek policy options for managing unsanctioned encampments of this population, but their various outcomes are unclear.
To evaluate policy options and their health and economic outcomes for an encampment of people experiencing homelessness and opioid use disorder (OUD).
DESIGN, SETTING, AND PARTICIPANTS: This decision analytical model study conducted a closed-cohort state-transition simulation using the Researching Effective Strategies to Prevent Opioid Death (RESPOND) model from October 2021 to October 2022. The study was based primarily on data from Massachusetts and simulated an urban encampment with a population experiencing homelessness and high-risk opioid use. Data analysis was performed from December 2022 to October 2024.
The following encampment management strategies were modeled: (1) status quo (no sweep); (2) sweep, a sudden disruption of all residents, followed by no additional resources; (3) housing with medication for opioid use disorder (MOUD) requirement; or (4) housing without MOUD requirement.
The primary outcomes were overdose and all-cause mortality per 1000 person-years, weeks spent in housing and taking MOUD, and economic cost from a modified government payer perspective. Sensitivity analyses were conducted by varying uncertain parameters.
The simulated cohort included 400 adults (mean [SD] age, 48 [17] years; 232 males [58.0%]). Under the status quo strategy, there were 50.4 (95% uncertainty interval [UI], 48.9-52.2) deaths per 1000 person-years, 15.5 (95% UI, 14.0-17.2) deaths from overdose per 1000 person-years, and 2990 (95% UI, 2897-3081) person-weeks spent taking MOUD for a total cost of $6 583 000 (95% UI, $6 502 000-$6 660 000). A sweep strategy resulted in 53.1 (95% UI, 51.3-55.2) deaths per 1000 person-years, 16.4 (95% UI, 18.2-20.2) deaths from overdose per 1000 person-years, and 1694 (95% UI, 1625-1764) person-weeks spent taking MOUD at a total cost of $6 820 000 (95% UI, $6 736 000-$6 899 000). The housing with medication requirement strategy resulted in 51.2 (95% UI, 49.4-53.0) deaths per 1000 person-years, 16.3 (95% UI, 14.6-18.1) deaths from overdose per 1000 person-years, and 3050 (95% UI, 3025-3075) person-weeks spent taking MOUD and in housing, for a total cost of $7 264 000 (95% UI, $7 188 000-$7 336 000). A housing without MOUD requirement strategy resulted in 49.2 (95% UI, 47.6-51.1) deaths per 1000 person-years, 14.3 (95% UI, 12.7-16.2) deaths from overdose per 1000 person-years, and 5014 (95% UI, 4942-5085) person-weeks spent taking MOUD and 14 511 (95% UI, 14 461-14 562) person-weeks spent in housing, for a total cost of $8 822 000 (95% UI, $8 774 000-$8 868 000).
In this decision analytical model study of approaches to homeless encampments involving individuals with OUD, sweeps increased mortality and spending. Housing without MOUD requirement was the most costly strategy but saved more lives.
许多美国社区面临着无家可归者露宿街头的危机,这往往与阿片类药物使用交织在一起。各司法管辖区在寻求管理这类人群未经许可的营地的政策选择,但其各种结果尚不清楚。
评估针对无家可归且患有阿片类药物使用障碍(OUD)的人群营地的政策选择及其健康和经济结果。
设计、背景和参与者:这项决策分析模型研究于2021年10月至2022年10月使用预防阿片类药物死亡的有效策略研究(RESPOND)模型进行了封闭队列状态转换模拟。该研究主要基于马萨诸塞州的数据,模拟了一个有露宿街头且阿片类药物使用风险高的人群的城市营地。数据分析于2022年12月至2024年10月进行。
对以下营地管理策略进行了建模:(1)现状(不清理);(2)清理,即突然驱散所有居民,随后不提供额外资源;(3)提供带有阿片类药物使用障碍药物治疗(MOUD)要求的住房;或(4)提供无MOUD要求的住房。
主要结局为每1000人年的过量用药和全因死亡率、在接受MOUD治疗的住房中度过的周数以及从修改后的政府支付方角度计算的经济成本。通过改变不确定参数进行敏感性分析。
模拟队列包括400名成年人(平均[标准差]年龄为48[17]岁;232名男性[58.0%])。在现状策略下,每1000人年有50.4(95%不确定区间[UI],48.9 - 52.2)例死亡,每1000人年有15.5(95% UI,14.0 - 17.2)例死于过量用药,接受MOUD治疗的总人周数为2990(95% UI,2897 - 3081),总成本为658.3万美元(95% UI,650.2万美元 - 666.0万美元)。清理策略导致每1000人年有53.1(95% UI,51.3 - 55.2)例死亡,每1000人年有16.4(95% UI,18.2 - 20.2)例死于过量用药,接受MOUD治疗的人周数为1694(95% UI,1625 - 1764),总成本为682.0万美元(95% UI,673.6万美元 - 689.9万美元)。有药物治疗要求的住房策略导致每1000人年有51.2(95% UI,49.4 - 53.0)例死亡,每1000人年有16.3(95% UI,14.6 - 18.1)例死于过量用药,接受MOUD治疗且在住房中的人周数为3050(95% UI,3025 - 3075),总成本为726.4万美元(95% UI,718.8万美元 - 733.6万美元)。无MOUD要求的住房策略导致每1000人年有49.2(95% UI,47.6 - 51.1)例死亡,每1000人年有14.3(95% UI,12.7 - 16.2)例死于过量用药,接受MOUD治疗的人周数为5014(95% UI,4942 - 5085),在住房中的人周数为14511(95% UI,14461 - 14562),总成本为882.2万美元(95% UI,877.4万美元 - 886.8万美元)。
在这项针对涉及患有OUD的个体的无家可归者营地处理方法的决策分析模型研究中,清理增加了死亡率和支出。无MOUD要求的住房策略是成本最高的策略,但挽救了更多生命。