College of Community Innovation and Education, University of Central Florida, Orlando, Florida.
Department of Public Policy, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina.
Health Serv Res. 2019 Apr;54(2):407-416. doi: 10.1111/1475-6773.13119. Epub 2019 Feb 11.
To examine the effects of a harm reduction policy, specifically Good Samaritan (GS) policy, on overdose deaths.
DATA SOURCES/STUDY SETTING: Secondary data from multiple cause of death, mortality records paired with state harm reduction and substance use prevention policy.
We estimate fixed effects Poisson count models to model the effect of GS policy on overdose deaths for all, prescription, and illicit drugs, controlled substances, and opioids, while controlling for other harm reduction and substance use prevention policies.
DATA COLLECTION/EXTRACTION METHODS: We merge secondary data sources by state and year between 1999 and 2016.
We fail to identify a statistically significant effect of GS policy in reducing overdose deaths broadly.
While we are unable to identify an effect of GS policy on overdose deaths, GS policy may have important effects on first-stage outcomes not investigated in this paper. Given recent state policy changes and rapid increase in many categories of overdose deaths, additional research should continue to examine the implementation and effects of harm reduction policy specifically and substance use prevention policy broadly.
研究减少伤害政策(特别是“好心人”法)对过量死亡的影响。
资料来源/研究场所:对多种死因、死亡率记录进行二次分析,并与州减少伤害和物质使用预防政策进行配对。
我们使用固定效应泊松计数模型来评估“好心人”法对所有、处方和非法药物、受控物质和阿片类药物的过量死亡的影响,同时控制其他减少伤害和物质使用预防政策。
资料收集/提取方法:我们在 1999 年至 2016 年间按州和年份合并了二次数据源。
我们未能确定“好心人”法在广泛减少过量死亡方面具有统计学意义的效果。
虽然我们无法确定“好心人”法对过量死亡的影响,但该法可能对本文未调查的第一阶段结果产生重要影响。鉴于最近州政策的变化和许多类别的过量死亡迅速增加,应继续进行更多研究,具体研究减少伤害政策,广泛研究物质使用预防政策的实施和效果。