Center for Geospatial Information Science, University of Maryland, College Park, MD 20742, United States of America; Department of Geographical Sciences, University of Maryland, College Park, MD 20742, United States of America.
Center for Geospatial Information Science, University of Maryland, College Park, MD 20742, United States of America; Department of Geographical Sciences, University of Maryland, College Park, MD 20742, United States of America.
J Subst Abuse Treat. 2019 Jun;101:55-66. doi: 10.1016/j.jsat.2019.03.013. Epub 2019 Apr 5.
This research presents an analysis of spatial access to both opioid use disorder treatment facilities and emergency medical services in New Hampshire during 2015-2016, a period during which there was a steep increase in unintentional overdoses involving fentanyl. For this research, spatial access was computed using the enhanced two-step floating catchment area model combined with the Huff model to assess access across New Hampshire and gives attention to supply-side parameters that can impact spatial access. The model is designed to measure access to healthcare services for opioid use disorder patients offered at treatment centers or from buprenorphine treatment practitioners, as well as from emergency medical services across New Hampshire. A composite index of accessibility is proposed to represent overall access to these different treatment services for opioid use disorder patients. Geospatial determinants of spatial access included street network distances, driving times and distance decay relationships, while other key factors were services availability and population demand. Among the towns with the highest composite access scores, approximately 40% were metropolitan locations while 16% were rural towns. The insights from this research showed that for this period, while the opioid crisis was impacting many towns in New Hampshire, high levels of access to treatment services were not uniform across the state. When comparing the access results with data on the towns of residence for individuals who died from unintentional overdoses involving fentanyl during 2015 and 2016, estimates found that approximately 40% of the towns were not estimated to be in the highest class of access to treatment services at the time. This research provides information for local public health officials to support planning strategies to address opioid use disorder treatment access in high-risk regions.
本研究分析了 2015 年至 2016 年期间新罕布什尔州阿片类药物使用障碍治疗设施和紧急医疗服务的空间可达性,在此期间,涉及芬太尼的意外过量用药急剧增加。在这项研究中,空间可达性是使用增强两步浮动捕获区模型结合 Huff 模型计算得出的,用于评估新罕布什尔州的可达性,并关注可能影响空间可达性的供应方参数。该模型旨在衡量在治疗中心或丁丙诺啡治疗从业者处为阿片类药物使用障碍患者提供的医疗服务以及新罕布什尔州各地的紧急医疗服务的可达性。提出了可达性综合指数来表示阿片类药物使用障碍患者对这些不同治疗服务的总体可达性。空间可达性的地理空间决定因素包括街道网络距离、驾驶时间和距离衰减关系,而其他关键因素包括服务可用性和人口需求。在可达性综合得分最高的城镇中,约有 40%是大都市地区,而 16%是农村城镇。这项研究的结果表明,在这一时期,尽管阿片类药物危机正在影响新罕布什尔州的许多城镇,但全州的治疗服务可达性水平并不均衡。将可达性结果与 2015 年和 2016 年因涉及芬太尼的意外过量用药而死亡的个人居住地城镇的数据进行比较后发现,大约有 40%的城镇当时估计不在治疗服务可达性的最高类别中。这项研究为地方公共卫生官员提供了信息,以支持制定规划策略,解决高风险地区的阿片类药物使用障碍治疗可达性问题。