Chichester Keith, Drawve Grant, Giménez-Santana Alejandro, Sisson Michelle, McCleskey Brandi, Dye Daniel W, Walker Jeffery, Mrug Sylvie, Cropsey Karen
University of Alabama at Birmingham, 1670 University Blvd, Volker Hall, Suite L107, Birmingham, AL 35233, United States.
Department of Sociology & Criminology, University of Arkansas, 211 Old Main, Fayetteville, AR 72701, United States.
Int J Drug Policy. 2020 Apr 8;79:102736. doi: 10.1016/j.drugpo.2020.102736.
Elements of the physical environment have been shown to influence health behaviors including drug use and overdose mortality. Throughout the opioid epidemic in the United States, rural regions have been disproportionately affected by opioid overdose. Although the relationship between the urban built environment and opioid overdose has been established, little is known as to how trends may differ in rural areas.
Risk terrain modeling was used as a spatial analytical approach to assess environmental features that significantly increase the risk of opioid overdose in Jefferson County, Alabama. Spatial risk assessments were conducted for urban and rural regions as well as for the county as a whole. Criminogenic, opioid-related, and community variables were included and compared across spatial risk models.
The geographic context, rural or urban, influenced the relationship between environmental features and opioid overdose. In rural areas, community features such as bus stops and public schools were related to the occurrence of opioid overdose. In urban areas, inpatient treatment centers, transitional living facilities, express loan establishments, and liquor vendors were significantly related to the locations of opioid overdose.
Risk terrain modeling can be used to locate high-risk areas for opioid overdose while identifying factors that are contributing to the risk of events occurring in communities. The patterns of overdose risk differ in rural and urban contexts and may be used to inform the placement of treatment and prevention resources.
已表明物理环境因素会影响包括药物使用和过量用药死亡率在内的健康行为。在美国整个阿片类药物流行期间,农村地区受到阿片类药物过量影响的比例过高。尽管城市建成环境与阿片类药物过量之间的关系已得到证实,但对于农村地区的趋势可能有何不同却知之甚少。
风险地形建模被用作一种空间分析方法,以评估阿拉巴马州杰斐逊县显著增加阿片类药物过量风险的环境特征。对城市和农村地区以及整个县进行了空间风险评估。纳入了犯罪成因、阿片类药物相关和社区变量,并在空间风险模型之间进行了比较。
地理背景,无论是农村还是城市,都会影响环境特征与阿片类药物过量之间的关系。在农村地区,公交站和公立学校等社区特征与阿片类药物过量的发生有关。在城市地区,住院治疗中心、过渡性居住设施、快速贷款机构和酒类销售商与阿片类药物过量的地点显著相关。
风险地形建模可用于确定阿片类药物过量的高风险区域,同时识别导致社区中事件发生风险的因素。过量用药风险模式在农村和城市背景下有所不同,可用于为治疗和预防资源的配置提供信息。