Neighbors Charles J, Yerneni Rajeev, Sun Yi, Choi Sugy, Burke Constance, O'Grady Megan A, McDonald Rebecca, Morgenstern Jon
Center on Addiction, New York, NY, USA.
New York University Grossman School of Medicine, New York, NY, USA.
Subst Abuse. 2022 Jan 30;16:11782218221075041. doi: 10.1177/11782218221075041. eCollection 2022.
We examined the effects of a statewide New York (NY) care management (CM) program for substance use disorder (SUD), Managed Addiction Treatment Services (MATS), on SUD treatment services' utilization and spending among patients with a recent history of high Medicaid spending and among those for whom a predictive algorithm indicates a higher probability of outlier spending in the following year.
We applied difference-in-difference analyses with propensity score matching using NY Medicaid claims data and a state registry of SUD-treatment episodes from 2006 to 2009. A total of 1263 CM enrollees with high SUD treatment spending (>$10K) in the prior year and a matched comparison group were included in the analysis. Crisis care utilization for SUD (detoxification and hospitalizations), outpatient SUD treatment, and Medicaid spending were examined over 12 months among both groups. CM effects among predicted high-future-spending patients (HFS) were also analyzed.
CM increased outpatient SUD treatment visits by approximately 10.5 days (95% CI = 0.9, 20.0). CM crisis care and spending outcomes were not statistically different from comparison since both conditions had comparable pre-post declines. Conversely, CM significantly reduced SUD treatment spending by approximately $955 (95% CI = -1518, -391) and reduced days of detox utilization by about 1.0 days (95% CI = -1.9, -0.1) among HFS.
Findings suggest that CM can reduce SUD treatment spending and utilization when targeted at patients with a greater likelihood of high future spending, indicating the potential value of predictive models to select CM patients.
我们研究了纽约州一项针对物质使用障碍(SUD)的全州护理管理(CM)项目——管理成瘾治疗服务(MATS),对近期医疗补助支出较高的患者以及预测算法显示下一年度有较高异常支出可能性的患者的SUD治疗服务利用情况和支出的影响。
我们使用纽约医疗补助索赔数据和2006年至2009年SUD治疗事件的州登记册,采用倾向得分匹配的差分分析方法。分析纳入了前一年SUD治疗支出较高(>10,000美元)的1263名CM参保者及其匹配的对照组。在12个月内对两组的SUD危机护理利用情况(戒毒和住院)、门诊SUD治疗以及医疗补助支出进行了检查。还分析了预测的未来高支出患者(HFS)中的CM效果。
CM使门诊SUD治疗就诊次数增加了约10.5天(95%置信区间 = 0.9, 20.0)。CM危机护理和支出结果与对照组无统计学差异,因为两种情况的前后下降幅度相当。相反,CM使HFS的SUD治疗支出显著减少了约955美元(95%置信区间 = -1518, -391),戒毒利用天数减少了约1.0天(95%置信区间 = -1.9, -0.1)。
研究结果表明,针对未来支出较高可能性较大的患者开展CM可以降低SUD治疗支出和利用情况,这表明预测模型在选择CM患者方面具有潜在价值。