美国吸毒过量死亡率与康复生态系统之间的关联:使用新指数的县级分析。

Amy E Wahlquist, Stephanie M Mathis, Laura Hunt Trull, Kusse Koirita Toitole, Andrew Howard, Ernest Fletcher, Michael Meit
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引用次数: 0

摘要

背景:拥有强大康复生态系统的社区可以减少与药物使用失调(SUD)相关的负面结果,并促进康复过程。这项横断面研究考察了美国吸毒过量死亡率与县级康复生态系统强度(以康复生态系统指数(REI)衡量)之间的关系:REI评估的是美国县级康复生态系统的强度。方法:REI 评估美国县级恢复生态系统的强度。该指数由 14 个指标组成,涵盖 3 个组成等级,使用指标的标准化值计算每个县的总分和组成分数,分数从 "1"(最强)到 "5"(最弱)不等。县级分析包括(1) 吸毒过量死亡率(n = 2076)与 REI 分数(总分和各组成部分)之间的相关性分析;以及 (2) 四分区分析(n = 2076),根据吸毒过量死亡率和 REI 总分对各县进行划分:结果:吸毒过量死亡率与 REI 总分、药物滥用治疗部分和药物滥用持续支持部分的得分成反比,表明得分越低(越强),死亡率越高。相反,REI 基础设施和社会部分得分与死亡率呈正相关。各县在各个象限的分布相对均匀,26%(n = 537)的 REI 分数较高,但吸毒过量死亡率较高;24%(n = 489)的 REI 分数较高,但吸毒过量死亡率较低;20%(n = 409)的 REI 分数较低,但吸毒过量死亡率较高;31%(n = 641)的 REI 分数较低,但吸毒过量死亡率较低:美国各县的 REI 分数一般与吸毒过量死亡率成反比,这表明随着吸毒成瘾负担的增加,社区拥有更强大的康复系统和服务。鉴于各县吸毒过量死亡率的规模和康复生态系统的强度存在相对差异,研究结果可指导确定哪些社区特别需要扩大康复系统和服务。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Associations Between Drug Overdose Mortality and Recovery Ecosystems in the United States: A County-Level Analysis Using a Novel Index.

Background: Communities with robust recovery ecosystems could reduce negative outcomes associated with substance use disorders (SUDs) and facilitate the recovery process. This cross-sectional study examined the relationship between drug overdose mortality rates in the United States and the strength of county-level recovery ecosystems, as measured by the Recovery Ecosystem Index (REI).

Methods: The REI assesses the strength of county-level recovery ecosystems in the United States. Comprised of 14 indicators across 3 component classes, overall and component scores ranging from "one" (strongest) to "five" (weakest) were calculated for each county using standardized values of the indicators. County-level analyses included: (1) correlational analyses between drug overdose mortality rates (n = 2076) and REI scores (overall score and by component); and (2) quadrant analysis (n = 2076), dividing counties based on their drug overdose mortality rates and overall REI scores.

Results: Drug overdose mortality rates were inversely related to REI overall, SUD treatment component, and continuum of SUD support component scores, indicating that lower (stronger) scores corresponded to higher rates. Conversely, REI infrastructure and social component scores were positively related to rates. Counties were relatively evenly distributed across quadrants, with 26% (n = 537) with a strong REI score and high overdose mortality rate, 24% (n = 489) with a strong REI score and low overdose mortality rate, 20% (n = 409) with a weak REI and high overdose mortality rate, and 31% (n = 641) with a weak REI and low overdose mortality rate.

Conclusions: REI scores were generally inversely associated with drug overdose mortality rates in US counties, suggesting that communities have stronger recovery systems and services as the burden of SUD increases. Given relative variation in the scale of drug overdose mortality and strength of recovery ecosystems among counties, results could guide the identification of communities where the need for expanded recovery systems and services may be particularly critical.

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