Suppr超能文献

实施环境和时间可预测基于证据治疗的监督内容强度。

Implementation Climate and Time Predict Intensity of Supervision Content Related to Evidence Based Treatment.

作者信息

Pullmann Michael D, Lucid Leah, Harrison Julie P, Martin Prerna, Deblinger Esther, Benjamin Katherine S, Dorsey Shannon

机构信息

Psychiatry and Behavioral Sciences, University of Washington School of Medicine, Seattle, WA, United States.

Department of Psychology, University of Washington, Seattle, WA, United States.

出版信息

Front Public Health. 2018 Oct 4;6:280. doi: 10.3389/fpubh.2018.00280. eCollection 2018.

Abstract

Children infrequently receive evidence-based treatments (EBTs) for mental health problems due to a science-to-practice implementation gap. Workplace-based clinical supervision, in which supervisors provide oversight, feedback, and training on clinical practice, may be a method to support EBT implementation. Our prior research suggests that the intensity of supervisory focus on EBT (i.e., thoroughness of coverage) during workplace-based supervision varies. This study explores predictors of supervisory EBT intensity. Participants were twenty-eight supervisors and 70 clinician supervisees. They completed a baseline survey, and audio recorded supervision sessions over 1 year. Four hundred and thirty eight recordings were coded for supervision content. We chose to explore predictors of two EBT content elements due to their strong evidence for effectiveness and sufficient variance to permit testing. These included a treatment technique ("exposure") and a method to structure treatment ("assessment"). We also explored predictors of non-EBT content ("other topics"). Mixed-effects models explored predictors at organizational/supervisor, clinician, and session levels. Positive implementation climate predicted greater intensity of EBT content coverage for assessment (coefficient = 0.82, = 0.004) and exposure (coefficient = 0.87, = 0.001). Intensity of exposure coverage was also predicted by more time spent discussing each case (coefficient = 0.04, < 0.001). Predictors of greater non-EBT content coverage included longer duration of supervision sessions (coefficient = 0.05, < 0.001) and lower levels of supervisor EBT knowledge (coefficient = -0.17, = 0.013). No other supervisor- or clinician-level variables were significant predictors in the mixed effects models. This was the first study to explore multi-level predictors of objectively coded workplace-based supervision content. Results suggest that organizations that expect, support and reward EBT are more likely to have greater intensity of EBT supervision coverage, which in turn may positively impact clinician EBT fidelity and client outcomes. There was evidence that supervisor knowledge of the EBT contributes to greater coverage, although robust supervisor and clinician factors that drive supervision are yet to be identified. Findings highlight the potential effectiveness of implementation strategies that simultaneously address organizational implementation climate and supervisor practices. More research is needed to identify mechanisms that support integration of EBT into supervision.

摘要

由于科学与实践之间存在实施差距,儿童很少能获得针对心理健康问题的循证治疗(EBT)。基于工作场所的临床督导,即督导员对临床实践提供监督、反馈和培训,可能是支持EBT实施的一种方法。我们之前的研究表明,在基于工作场所的督导过程中,督导对EBT的关注强度(即覆盖的全面性)存在差异。本研究探讨督导EBT强度的预测因素。参与者包括28名督导员和70名临床被督导者。他们完成了一项基线调查,并对1年多的督导会议进行了录音。对438份录音的督导内容进行了编码。由于两种EBT内容要素在有效性方面有充分证据且有足够的变异性以进行检验,我们选择探讨它们的预测因素。这些要素包括一种治疗技术(“暴露”)和一种构建治疗的方法(“评估”)。我们还探讨了非EBT内容(“其他主题”)的预测因素。混合效应模型在组织/督导员、临床医生和会议层面探讨了预测因素。积极的实施氛围预测了评估(系数 = 0.82,P = 0.004)和暴露(系数 = 0.87,P = 0.001)的EBT内容覆盖强度更高。讨论每个案例花费的时间更多也预测了暴露覆盖强度(系数 = 0.04,P < 0.001)。非EBT内容覆盖强度更高的预测因素包括督导会议持续时间更长(系数 = 0.05,P < 0.001)和督导员的EBT知识水平较低(系数 = -0.17,P = 0.013)。在混合效应模型中,没有其他督导员或临床医生层面的变量是显著的预测因素。这是第一项探讨基于工作场所的督导内容客观编码的多层次预测因素的研究。结果表明,期望、支持和奖励EBT的组织更有可能具有更高强度的EBT督导覆盖,这反过来可能对临床医生的EBT保真度和客户结果产生积极影响。有证据表明督导员对EBT的了解有助于提高覆盖度,尽管尚未确定推动督导的强大的督导员和临床医生因素。研究结果突出了同时解决组织实施氛围和督导员实践的实施策略的潜在有效性。需要更多研究来确定支持将EBT整合到督导中的机制。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4a9f/6180155/3a37f64e03fb/fpubh-06-00280-g0001.jpg

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验