Department of Psychology, University of California, 2121 Berkeley Way #1650, Berkeley, CA, United States.
Department of Psychology, University of California, 2121 Berkeley Way #1650, Berkeley, CA, United States; Department of Psychology, University of California, Los Angeles, CA, United States.
Psychiatry Res. 2020 Nov;293:113443. doi: 10.1016/j.psychres.2020.113443. Epub 2020 Aug 31.
The implementation of evidence-based psychological treatments (EBPTs) may be particularly challenging to accomplish in community mental health settings for individuals with severe mental illness (SMI). Transdiagnostic treatments, or treatments that target a mechanism that underpins multiple mental health problems, may be particularly well-suited to community mental health settings. This study examines community stakeholder perspectives (N = 22) of the Transdiagnostic Sleep and Circadian Intervention (TranS-C) implemented in a community mental health setting in the context of a randomized controlled trial of TranS-C for SMI. The present study aimed to identify barriers and facilitators to the implementation of TranS-C for SMI in a community mental health setting using (1) a deductive theory-based process based on the Framework for Dissemination in Health Services Intervention Research and (2) an inductive thematic analysis process. All deductive themes were identified as both barriers and facilitators to the implementation of EBPTs and TranS-C in this community mental health setting. Seven additional themes were identified through the inductive thematic analysis. A discussion of how the findings are related to prior research, other EBPT implementation, and future TranS-C implementation are included.
在社区心理健康环境中为严重精神疾病（SMI）患者实施基于证据的心理治疗（EBPT）可能特别具有挑战性。针对多种心理健康问题的共同机制的治疗方法，即跨诊断治疗，可能特别适合社区心理健康环境。本研究考察了社区利益相关者（N=22）在社区心理健康环境中实施跨诊断睡眠和昼夜节律干预（TranS-C）的观点，这是在 TranS-C 治疗 SMI 的随机对照试验的背景下进行的。本研究旨在使用（1）基于健康服务干预研究传播框架的演绎理论基础过程和（2）归纳主题分析过程，确定在社区心理健康环境中为 SMI 实施 TranS-C 的障碍和促进因素。所有演绎主题都被确定为在该社区心理健康环境中实施 EBPT 和 TranS-C 的障碍和促进因素。通过归纳主题分析确定了另外七个主题。讨论了这些发现如何与先前的研究、其他 EBPT 实施以及未来的 TranS-C 实施相关。
