Drug-related charges and their association with social determinants of health

0 PSYCHOLOGY, CLINICAL
Molly Remch , Bethany L. DiPrete , Scott Proescholdbell , Mary E. Cox , Anna E. Austin
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Abstract

Objective

Drug-related arrests persist at high levels despite the negative health consequences of incarceration, particularly for those with a substance use disorder. To understand community-level factors potentially contributing to high rates of drug-related arrests, we conducted an ecological study estimating associations between county-level social determinants of health and rates of drug-related charges in North Carolina from 2016 to 2019.

Method

Allowing a one-year lag between variables, we regressed the county-level rates of drug-related charges on each county-level social determinant of health variable. County-level rates of drug-related charges were the number of drug-related charges per 1000 residents. The county-level social determinant of health variables describe the percent of the population experiencing poverty, unemployment, evictions, food insecurity, or uninsured status. We accounted for spatial dependence of the social determinants of health variables and spatial correlation of the errors. We report direct effects, which measure the effect of a given social determinant of health in a given county on rates of drug-related charges in that same county.

Results

Poverty, evictions, and food insecurity were not associated with county-level rates of drug-related charges. There was a positive association between both unemployment and drug-related charges and between lack of health insurance and drug-related charges. A one percentage point increase in county-level unemployment was associated with a 3.27 (95 % CI: 1.28, 5.26) percent increase in the rate of next year drug-related charges per 1000 adults. A one percentage point increase in county-level lack of health insurance was associated with a 110.50 (95 % CI: 52.81, 168.18) percent increase in drug-related charges per 1000 adults the following year.

Conclusion

In this descriptive analysis, we found that a higher percentage of the population unemployed and uninsured were associated with higher rates of drug-related charges in the subsequent year. Areas with high unemployment and a high percentage of the population uninsured may benefit from diversion programs for individuals with substance use disorders.
与毒品有关的指控及其与健康的社会决定因素的关系。
目标:尽管监禁对健康造成负面影响,但与毒品有关的逮捕率仍然很高,特别是对那些有药物使用障碍的人。为了了解社区层面的因素可能导致与毒品有关的高逮捕率,我们进行了一项生态研究,估计了2016年至2019年北卡罗来纳州县级健康社会决定因素与毒品相关收费率之间的关联。方法:允许变量之间有一年的滞后,对各县域卫生社会决定变量的县域药品收费率进行回归。县级毒品收费率是指每千名居民的毒品收费数。县级健康变量的社会决定因素描述了经历贫困、失业、驱逐、粮食不安全或无保险状况的人口百分比。我们考虑了健康变量的社会决定因素的空间依赖性和误差的空间相关性。我们报告了直接效应,它衡量了特定县的特定社会健康决定因素对同一县毒品相关收费率的影响。结果:贫困、驱逐和粮食不安全与县级毒品相关指控率无关。失业和与毒品有关的费用之间以及缺乏健康保险和与毒品有关的费用之间存在正相关关系。县级失业率每增加一个百分点,明年每1000名成年人的毒品相关收费就会增加3.27(95 % CI: 1.28, 5.26)个百分点。县级缺乏医疗保险的比例每增加一个百分点,第二年每1000名成年人的毒品相关费用就会增加110.50%(95 % CI: 52.81, 168.18) %。结论:在这一描述性分析中,我们发现较高比例的失业人口和未投保人口与随后一年较高的毒品相关费用相关。失业率高、无保险人口比例高的地区可能会受益于针对物质使用障碍患者的转移计划。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Journal of substance use and addiction treatment
Journal of substance use and addiction treatment Biological Psychiatry, Neuroscience (General), Psychiatry and Mental Health, Psychology (General)
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