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德克萨斯州早期精神病社区综合专科护理中服务参与和退出的预测因素

Predictors of Service Engagement and Disengagement in Community-Based Coordinated Specialty Care for Early Psychosis in Texas.

作者信息

Lopez Molly A, Reznik Samantha J, Custer Calliope, Rathouz Paul J

机构信息

Steve Hicks School of Social Work, Texas Institute for Excellence in Mental Health, The University of Texas at Austin, 1823 Red River St, Austin, TX, 78712, USA.

Biomedical Data Science Hub, Department of Population Health, Dell Medical School, Austin, TX, USA.

出版信息

Community Ment Health J. 2025 May 7. doi: 10.1007/s10597-025-01468-7.

Abstract

Coordinated specialty care (CSC) is an evidence-based, early intervention approach for individuals with a recent onset of psychosis. This study identifies program and individual characteristics that predict (1) initial engagement in care; (2) the use of peer and family partner services; and (3) time to disengagement. Administrative data representing CSC encounters at 22 community mental health programs were analyzed. Logistic regressions were used to model initial CSC engagement, as well as the use of peer or family partner services, given initial engagement. Cox proportional hazards regression was used to quantify program disengagement, with possible time-varying effects of peer service use. Identified predictors of initial engagement included: race/ethnicity, age, diagnosis, program urbanicity, and program maturity. Identified predictors of disengagement in the first year included: diagnosis, program urbanicity, and program maturity. Peer and family partner services did not significantly predict disengagement. These results suggest equity issues for some individuals, while also highlighting the importance of program characteristics on pathways to care. Future research should include program factors as key predictors for engagement, explore both person-centered and program-centered strategies to maximize engagement, and optimize and examine the role of individual and family peer services in engagement. Such a shift would align with the call to understand pathways to care from a community-level rather than individual lens.

摘要

协调专科护理(CSC)是一种针对近期发病的精神病患者的循证早期干预方法。本研究确定了预测以下方面的项目和个体特征:(1)首次接受护理;(2)使用同伴和家庭伙伴服务;(3)脱离护理的时间。对代表22个社区心理健康项目中CSC接触情况的行政数据进行了分析。使用逻辑回归对首次CSC接触以及在首次接触后使用同伴或家庭伙伴服务的情况进行建模。使用Cox比例风险回归来量化项目脱离情况,并考虑同伴服务使用可能产生的随时间变化的影响。确定的首次接触的预测因素包括:种族/民族、年龄、诊断、项目所在城市以及项目成熟度。确定的第一年脱离的预测因素包括:诊断、项目所在城市以及项目成熟度。同伴和家庭伙伴服务并未显著预测脱离情况。这些结果表明了一些个体的公平问题,同时也凸显了项目特征在护理途径中的重要性。未来的研究应将项目因素作为参与的关键预测因素,探索以个人为中心和以项目为中心的策略以最大限度地提高参与度,并优化和研究个体及家庭同伴服务在参与中的作用。这种转变将符合从社区层面而非个体角度理解护理途径的呼吁。

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