Center for Innovation in Mental Health, Graduate School of Public Health and Health Policy, The City University of New York, NY, New York, USA.
Department of Community Health and Social Sciences, Graduate School of Public Health and Health Policy, The City University of New York, NY, New York, USA.
BMC Public Health. 2024 Sep 19;24(1):2554. doi: 10.1186/s12889-024-20026-6.
Addressing mental health disparities following COVID-19 requires adaptive, multi-sectoral, equity-focused, and community-based approaches. Mental health task-sharing in gateway settings has been found to address mental health care gaps in low- and middle-income countries, but is not a common practice in the U.S., especially in non-medical settings, such as low-income housing developments (LIH). This research study will evaluate the effectiveness of a multisectoral community-engaged collaborative for task-sharing mental health care on consumer, provider, and implementation outcomes, as well as identify barriers and facilitators for implementation.
In this stepped-wedge randomized controlled trial with technology supplementation, LIH and primary care sites will be randomly assigned to one of five sequences of three implementation strategies: (1) Education and Resources (E&R), which involves online training and resources on basic mental health task-sharing skills, (2) Multisectoral Community Collaborative Care (MCC), which consists of all E&R resources plus additional community responsive implementation supports and participation in a multisectoral coalition and (3) MCC + Technology, which combines the MCC condition resources with a community crowdsourced technology solution to support implementation. The primary outcome is the effectiveness in meeting consumers' needs through direct service (e.g., adequately addressing depression and anxiety symptoms), and through implementation to increase access to mental health care (reach). The secondary outcome examines additional consumer outcomes including health functioning and social risks, as well as implementation outcomes including provider skills, program adoption, and factors related to barriers and facilitators of quality implementation. A total of 700 consumers receiving mental health care at 20 sites will be surveyed at baseline, 6-, and 12-month follow-ups. Additionally, 100 providers will be evaluated at baseline, 6-, 12-, and 24-month follow-ups before training and after randomization.
We hypothesize that MCC and MCC + Technology conditions will demonstrate significantly higher efficacy in changing primary outcomes compared to E&R, and the MCC + Technology supplement will show significantly higher levels of reach of mental health tasks compared to the MCC condition alone. These findings will demonstrate the feasibility of mental health integration into accessible, non-medical community settings such as LIH. Moreover, it will help establish a multilevel system solution based on community engagement and planning with a multisectoral collaboration that can be sustained community-wide.
NCT05833555 on Clinicaltrials.gov. Registered April 26, 2023.
解决新冠疫情后的心理健康差距需要采取适应性、多部门、注重公平和以社区为基础的方法。在中低收入国家,门径设置中的心理健康任务分担已被证明可以解决心理健康护理差距,但在美国这种做法并不常见,特别是在非医疗环境中,如低收入住房开发项目(LIH)。本研究将评估多部门社区参与式合作进行心理健康任务分担对消费者、服务提供者和实施结果的有效性,并确定实施的障碍和促进因素。
在这项采用技术补充的阶梯式随机对照试验中,LIH 和初级保健站点将被随机分配到五个实施策略序列中的一个:(1)教育和资源(E&R),包括关于基本心理健康任务分担技能的在线培训和资源,(2)多部门社区协作护理(MCC),包括所有 E&R 资源以及额外的社区响应实施支持和参与多部门联盟,(3)MCC+技术,将 MCC 条件资源与社区众包技术解决方案相结合,以支持实施。主要结果是通过直接服务(例如,充分解决抑郁和焦虑症状)满足消费者需求的有效性,以及通过实施增加获得心理健康护理的机会(覆盖范围)。次要结果检查了其他消费者结果,包括健康功能和社会风险,以及实施结果,包括提供者技能、方案采用以及与质量实施的障碍和促进因素相关的因素。总共将有 700 名在 20 个地点接受心理健康护理的消费者在基线、6 个月和 12 个月随访时进行调查。此外,在培训前和随机分组后,100 名服务提供者将在基线、6 个月、12 个月和 24 个月随访时进行评估。
我们假设 MCC 和 MCC+技术条件在改变主要结果方面将显示出明显高于 E&R 的效果,并且与 MCC 条件相比,MCC+技术补充剂将显示出更高水平的心理健康任务覆盖范围。这些发现将证明将心理健康纳入可及的非医疗社区环境(如 LIH)的可行性。此外,它将有助于建立一个基于社区参与和规划的多层次系统解决方案,以及一个可以在整个社区内持续的多部门合作。
NCT05833555 在 Clinicaltrials.gov 上注册。于 2023 年 4 月 26 日注册。