美国公共部门对首发精神病协调专科护理(CSC)服务的经济评估

IF 1 4区 医学 Q4 HEALTH POLICY & SERVICES
Sean M Murphy, Suat Kucukgoncu, Yuhua Bao, Fangyong Li, Cenk Tek, Nicholas J K Breitborde, Sinan Guloksuz, Vivek H Phutane, Banu Ozkan, Jessica M Pollard, John D Cahill, Scott W Woods, Robert A Cole, Michael Schoenbaum, Vinod H Srihari
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引用次数: 0

摘要

背景:精神分裂症谱系障碍对经济造成巨大且不成比例的影响。早期干预服务可能能够减轻精神分裂症谱系障碍对诊断个体、护理人员和整个社会的负担。观察性研究的经济分析支持对早期精神病的专业团队护理进行投资;然而,在美国支离破碎的医疗保健系统中,首次发作服务的经济可行性仍然存在问题。早期精神病专科治疗诊所(STEP)成立于2006年,明确示范了与国家相关的美国公共部门早期干预服务。本研究的目的是对STEP进行经济评估,STEP是一种基于美国国家资助的社区精神卫生中心的协调专业护理服务(CSC),相对于常规治疗(UT)。方法:符合条件的患者为精神病发病5年内,且终生抗精神病药物暴露不超过12周。参与者被随机分为STEP组和UT组。假设稳态病例数为30例,估计STEP干预本身的年度每位患者成本。从第三方付款人的角度进行了成本抵消分析,以估计STEP的净值。在随机分组后的6个月和整个12个月内评估参与者的医疗保健服务利用率。使用广义线性模型多变量回归来估计STEP对医疗保健成本的影响,并生成预测的平均成本,并将其与STEP的每位患者成本相结合。结果:STEP的年人均成本为1984美元。STEP参与者有任何住院或急诊科就诊的可能性显著降低;在特定期间使用此类服务的个人中,STEP参与者在第12个月的相关费用显着降低。我们没有观察到其他医疗保健服务的类似效果。STEP的预测平均总成本低于UT,表明STEP在第6个月的净收益为1,029美元,在第12个月为2,991美元;然而,差异没有统计学意义。结论:我们的发现是有希望的关于STEP的价值第三方支付者。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

An Economic Evaluation of Coordinated Specialty Care (CSC) Services for First-Episode Psychosis in the U.S. Public Sector.

An Economic Evaluation of Coordinated Specialty Care (CSC) Services for First-Episode Psychosis in the U.S. Public Sector.

Background: Schizophrenia spectrum disorders exert a large and disproportionate economic impact. Early intervention services may be able to alleviate the burden of schizophrenia spectrum disorders on diagnosed individuals, caregivers, and society at large. Economic analyses of observational studies have supported investments in specialized team-based care for early psychosis; however, questions remain regarding the economic viability of first-episode services in the fragmented U.S. healthcare system. The clinic for Specialized Treatment Early in Psychosis (STEP) was established in 2006, to explicitly model a nationally-relevant U.S. public-sector early intervention service. The purpose of this study was to conduct an economic evaluation of STEP, a Coordinated Specialty Care service (CSC) based in a U.S. State-funded community mental health center, relative to usual treatment (UT).

Methods: Eligible patients were within 5 years of psychosis onset and had no more than 12 weeks of lifetime antipsychotic exposure. Participants were randomized to STEP or UT. The annual per-patient cost of the STEP intervention per se was estimated assuming a steady-state caseload of 30 patients. A cost-offset analysis was conducted to estimate the net value of STEP from a third-party payer perspective. Participant healthcare service utilization was evaluated at 6 months and over the entire 12 months post randomization. Generalized linear model multivariable regressions were used to estimate the effect of STEP on healthcare costs over time, and generate predicted mean costs, which were combined with the per-patient cost of STEP.

Results: The annual per-patient cost of STEP was $1,984. STEP participants were significantly less likely to have any inpatient or ED visits; among individuals who did use such services in a given period, the associated costs were significantly lower for STEP participants at month 12. We did not observe a similar effect with regard to other healthcare services. The predicted average total costs were lower for STEP than UT, indicating a net benefit for STEP of $1,029 at month 6 and $2,991 at month 12; however, the differences were not statistically significant.

Conclusions: Our findings are promising with regard to the value of STEP to third-party payers.

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来源期刊
CiteScore
2.20
自引率
6.20%
发文量
8
期刊介绍: The Journal of Mental Health Policy and Economics publishes high quality empirical, analytical and methodologic papers focusing on the application of health and economic research and policy analysis in mental health. It offers an international forum to enable the different participants in mental health policy and economics - psychiatrists involved in research and care and other mental health workers, health services researchers, health economists, policy makers, public and private health providers, advocacy groups, and the pharmaceutical industry - to share common information in a common language.
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