Department of Public Administration and Policy, School of Public and International Affairs, University of Georgia, Athens, GA.
College of Social Work, University of South Carolina, Hamilton College, Columbia, SC.
Health Serv Res. 2018 Feb;53(1):389-404. doi: 10.1111/1475-6773.12686. Epub 2017 Mar 27.
To examine county-level geographic variation in treatment admissions among opioid treatment programs (OTPs) that accept Medicaid in the continental United States.
DATA SOURCES/STUDY SETTING: Data come from the 2012 National Survey of Substance Abuse Treatment Services.
STUDY DESIGN/DATA COLLECTION: We used local measures of spatial autocorrelation (LISA) analysis to identify (1) clusters of counties with higher and lower than average rates of opioid use disorders and (2) clusters of counties with higher and lower than average treatment admissions among OTPs that accept Medicaid, adjusting for county population size.
Our results reveal several clusters of counties with higher than average rates of opioid use disorder (OUD) and lower than average treatment admissions among OTPs that accept Medicaid. These clusters are highly concentrated in the Southeast region of the country and include Arkansas, Kentucky, Louisiana, Mississippi, and Tennessee.
Medicaid enrollees in areas in the Southeast have the largest gaps between county-level OUD rates and estimated county-level capacity for treatment, as measured by county-level total treatment admissions among OTPs that accept Medicaid. Policy makers should consider strategies to increase the availability of OTPs with the capacity to serve Medicaid enrollees.
在美国本土,调查接受医疗补助(Medicaid)的阿片类药物治疗计划(OTP)中,县级治疗入院率的地理差异。
数据来源/研究环境:数据来自 2012 年国家药物滥用治疗服务调查。
研究设计/数据收集:我们使用局部空间自相关测量(LISA)分析来确定:(1)阿片类使用障碍率高于或低于平均水平的县集群;(2)接受医疗补助的 OTP 中治疗入院率高于或低于平均水平的县集群,同时调整了县人口规模。
我们的结果显示了几个接受医疗补助的 OTP 中阿片类药物使用障碍(OUD)率高于平均水平且治疗入院率低于平均水平的县集群。这些集群高度集中在东南部地区,包括阿肯色州、肯塔基州、路易斯安那州、密西西比州和田纳西州。
东南部地区的医疗补助参保人在 OUD 县一级发病率和接受医疗补助的 OTP 县一级总治疗入院率估计的县一级治疗能力之间存在最大差距。政策制定者应考虑增加有能力为医疗补助参保人提供服务的 OTP 的可用性的策略。