Lim Sungwoo, Gao Qi, Stazesky Elsa, Singh Tejinder P, Harris Tiffany G, Levanon Seligson Amber
Bureau of Epidemiology Services, Division of Epidemiology, New York City Department of Health and Mental Hygiene, New York, NY, USA.
Albert Einstein School of Medicine, New York, NY, USA.
BMC Health Serv Res. 2018 Jan 10;18(1):15. doi: 10.1186/s12913-017-2816-9.
A rapid increase of Medicaid expenditures has been a serious concern, and housing stability has been discussed as a means to reduce Medicaid costs. A program evaluation of a New York City supportive housing program has assessed the association between supportive housing tenancy and Medicaid savings among New York City housing program applicants with serious mental illness and chronic homelessness or dual diagnoses of mental illness and substance use disorder, stratified by distinctive Medicaid expenditure patterns.
The evaluation used matched data from administrative records for 2827 people. Sequence analysis identified 6 Medicaid expenditure patterns during 2 years prior to baseline among people placed in the program (n = 737) and people eligible but not placed (n = 2090), including very low Medicaid coverage, increasing Medicaid expenditure, low, middle, high, and very high Medicaid expenditure patterns. We assessed the impact of the program on Medicaid costs for 2 years post-baseline via propensity score matching and bootstrapping.
The housing program was associated with Medicaid savings during 2 years post-baseline (-$9526, 95% CI = -$19,038 to -$2003). Stratified by Medicaid expenditure patterns, Medicaid savings were found among those with very low Medicaid coverage (-$15,694, 95% CI = -$35,926 to -$7983), increasing Medicaid expenditures (-$9020, 95% CI = -$26,753 to -$1705), and high Medicaid expenditure patterns (-$14,450, 95% CI = -$38,232 to -$4454). Savings were largely driven by shorter psychiatric hospitalizations in the post-baseline period among those placed.
The supportive housing program was associated with Medicaid savings, particularly for individuals with very low Medicaid coverage, increasing Medicaid expenditures, and high Medicaid expenditures pre-baseline.
医疗补助支出的快速增长一直是一个严重问题,住房稳定性被视为降低医疗补助成本的一种手段。一项针对纽约市支持性住房项目的项目评估,评估了纽约市住房项目申请人中支持性住房租赁与医疗补助节省之间的关联,这些申请人患有严重精神疾病且长期无家可归,或同时患有精神疾病和物质使用障碍,并按独特的医疗补助支出模式进行分层。
该评估使用了来自2827人的行政记录的匹配数据。序列分析确定了在基线前两年中,参与该项目的人员(n = 737)和符合条件但未参与项目的人员(n = 2090)的6种医疗补助支出模式,包括极低的医疗补助覆盖、医疗补助支出增加、低、中、高和极高的医疗补助支出模式。我们通过倾向得分匹配和自助法评估了该项目对基线后两年医疗补助成本的影响。
该住房项目与基线后两年的医疗补助节省相关(-9526美元,95%置信区间 = -19,038美元至 -2003美元)。按医疗补助支出模式分层,在医疗补助覆盖极低的人群中发现了医疗补助节省(-15,694美元,95%置信区间 = -35,926美元至 -7983美元)、医疗补助支出增加的人群中(-9020美元,95%置信区间 = -26,753美元至 -1705美元)以及高医疗补助支出模式的人群中(-14,450美元,95%置信区间 = -38,232美元至 -4454美元)。节省主要是由参与项目人员在基线后期间较短的精神病住院时间推动的。
支持性住房项目与医疗补助节省相关,特别是对于基线前医疗补助覆盖极低、医疗补助支出增加以及医疗补助支出高的个人。