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基于学校的认知行为疗法自适应实施(ASIC):采用聚类-SMART 方法构建优化的自适应实施干预措施,以提高学校心理健康干预措施的采用率。

Adaptive School-based Implementation of CBT (ASIC): clustered-SMART for building an optimized adaptive implementation intervention to improve uptake of mental health interventions in schools.

机构信息

Department of Psychiatry, University of Michigan Medical School, Ann Arbor, MI, USA.

U.S. Department of Veterans Affairs, Quality Enhancement Research Initiative, Washington D.C., USA.

出版信息

Implement Sci. 2018 Sep 5;13(1):119. doi: 10.1186/s13012-018-0808-8.

Abstract

BACKGROUND

Depressive and anxiety disorders affect 20-30% of school-age youth, most of whom do not receive adequate services, contributing to poor developmental and academic outcomes. Evidence-based practices (EBPs) such as cognitive behavioral therapy (CBT) can improve outcomes, but numerous barriers limit access among affected youth. Many youth try to access mental health services in schools, but school professionals (SPs: counselors, psychologists, social workers) are rarely trained adequately in CBT methods. Further, SPs face organizational barriers to providing CBT, such as lack of administrative support. Three promising implementation strategies to address barriers to school-based CBT delivery include (1) Replicating Effective Programs (REP), which deploys customized CBT packaging, didactic training in CBT, and technical assistance; (2) coaching, which extends training via live supervision to improve SP competence in CBT delivery; and (3) facilitation, which employs an organizational expert who mentors SPs in strategic thinking to promote self-efficacy in garnering administrative support. REP is a relatively low-intensity/low-cost strategy, whereas coaching and facilitation require additional resources. However, not all schools will require all three strategies. The primary aim of this study is to compare the effectiveness of a school-level adaptive implementation intervention involving REP, coaching, and facilitation versus REP alone on the frequency of CBT delivered to students by SPs and student mental health outcomes. Secondary and exploratory aims examine cost-effectiveness, moderators, and mechanisms of implementation strategies.

METHODS

Using a clustered, sequential multiple-assignment, randomized trial (SMART) design, ≥ 200 SPs from 100 schools across Michigan will be randomized initially to receive REP vs. REP+coaching. After 8 weeks, schools that do not meet a pre-specified implementation benchmark are re-randomized to continue with the initial strategy or to augment with facilitation.

DISCUSSION

EBPs need to be implemented successfully and efficiently in settings where individuals are most likely to seek care in order to gain large-scale impact on public health. Adaptive implementation interventions hold the promise of providing cost-effective implementation support. This is the first study to test an adaptive implementation of CBT for school-age youth, at a statewide level, delivered by school staff, taking an EBP to large populations with limited mental health care access.

TRIAL REGISTRATION

NCT03541317 -Registered on 29 May 2018 on ClinicalTrials.gov PRS.

摘要

背景

抑郁和焦虑障碍影响 20-30%的学龄青少年,其中大多数人未获得足够的服务,导致发育和学业结果不佳。循证实践(EBP),如认知行为疗法(CBT),可以改善结果,但许多障碍限制了受影响青少年的获得。许多年轻人试图在学校获得心理健康服务,但学校专业人员(SP:辅导员、心理学家、社会工作者)很少接受过 CBT 方法的充分培训。此外,SP 面临提供 CBT 的组织障碍,例如缺乏行政支持。解决学校提供 CBT 障碍的三种有前途的实施策略包括:(1)复制有效计划(REP),该计划采用定制的 CBT 包装、CBT 教学培训和技术援助;(2)辅导,通过现场监督扩展培训,以提高 SP 在 CBT 交付方面的能力;(3)促进,聘请组织专家在战略思考方面指导 SP,以提高获得行政支持的自我效能感。REP 是一种相对低强度/低成本的策略,而辅导和促进需要额外的资源。然而,并非所有学校都需要所有三种策略。本研究的主要目的是比较涉及 REP、辅导和促进的学校层面适应性实施干预与仅 REP 对 SP 向学生提供 CBT 的频率和学生心理健康结果的有效性。次要和探索性目标检查成本效益、实施策略的调节因素和机制。

方法

使用聚类、顺序多重分配、随机试验(SMART)设计,密歇根州 100 所学校的≥200 名 SP 将被随机初始分配接受 REP 与 REP+辅导。8 周后,未达到预定实施基准的学校将重新随机分配以继续初始策略或增强促进。

讨论

EBP 需要在最有可能寻求护理的个体所在的环境中成功和有效地实施,以便对公共卫生产生大规模影响。适应性实施干预有望提供具有成本效益的实施支持。这是第一项在全州范围内,由学校工作人员为学龄青少年实施 CBT 的适应性实施研究,为有限的心理健康服务获取途径的大量人群提供 EBP。

试验注册

NCT03541317-于 2018 年 5 月 29 日在 ClinicalTrials.gov PRS 注册。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bd29/6126013/236c86bb0375/13012_2018_808_Fig1_HTML.jpg

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