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创伤后医护人员侵入性记忆的治疗:一种开发意象竞争任务干预的贝叶斯自适应随机试验。

Treating intrusive memories after trauma in healthcare workers: a Bayesian adaptive randomised trial developing an imagery-competing task intervention.

机构信息

Department of Psychology, Uppsala University, Uppsala, Uppsala County, Sweden.

P1vital Products Ltd, Wallingford, Oxfordshire, UK.

出版信息

Mol Psychiatry. 2023 Jul;28(7):2985-2994. doi: 10.1038/s41380-023-02062-7. Epub 2023 Apr 26.

Abstract

Intensive care unit (ICU) staff continue to face recurrent work-related traumatic events throughout the COVID-19 pandemic. Intrusive memories (IMs) of such traumatic events comprise sensory image-based memories. Harnessing research on preventing IMs with a novel behavioural intervention on the day of trauma, here we take critical next steps in developing this approach as a treatment for ICU staff who are already experiencing IMs days, weeks, or months post-trauma. To address the urgent need to develop novel mental health interventions, we used Bayesian statistical approaches to optimise a brief imagery-competing task intervention to reduce the number of IMs. We evaluated a digitised version of the intervention for remote, scalable delivery. We conducted a two-arm, parallel-group, randomised, adaptive Bayesian optimisation trial. Eligible participants worked clinically in a UK NHS ICU during the pandemic, experienced at least one work-related traumatic event, and at least three IMs in the week prior to recruitment. Participants were randomised to receive immediate or delayed (after 4 weeks) access to the intervention. Primary outcome was the number of IMs of trauma during week 4, controlling for baseline week. Analyses were conducted on an intention-to-treat basis as a between-group comparison. Prior to final analysis, sequential Bayesian analyses were conducted (n = 20, 23, 29, 37, 41, 45) to inform early stopping of the trial prior to the planned maximum recruitment (n = 150). Final analysis (n = 75) showed strong evidence for a positive treatment effect (Bayes factor, BF = 1.25 × 10): the immediate arm reported fewer IMs (median = 1, IQR = 0-3) than the delayed arm (median = 10, IQR = 6-16.5). With further digital enhancements, the intervention (n = 28) also showed a positive treatment effect (BF = 7.31). Sequential Bayesian analyses provided evidence for reducing IMs of work-related trauma for healthcare workers. This methodology also allowed us to rule out negative effects early, reduced the planned maximum sample size, and allowed evaluation of enhancements. Trial Registration NCT04992390 ( www.clinicaltrials.gov ).

摘要

重症监护病房(ICU)工作人员在整个 COVID-19 大流行期间继续面临与工作相关的创伤性事件。此类创伤性事件的侵入性记忆(IM)包括基于感官图像的记忆。利用创伤当天针对预防 IM 的新的行为干预措施进行研究,我们在这里迈出了关键的下一步,将这种方法开发为 ICU 工作人员的治疗方法,这些工作人员在创伤后数天、数周或数月已经经历了 IM。为了解决开发新的心理健康干预措施的迫切需求,我们使用贝叶斯统计方法优化了一项简短的意象竞争任务干预措施,以减少 IM 的数量。我们评估了一种数字化的干预措施,用于远程、可扩展的交付。我们进行了一项两臂、平行组、随机、自适应贝叶斯优化试验。符合条件的参与者在大流行期间在英国国民保健制度的 ICU 中从事临床工作,经历了至少一次与工作相关的创伤事件,并且在招募前一周至少有三次 IM。参与者被随机分配接受即时或延迟(4 周后)访问干预措施。主要结局是第 4 周创伤性 IM 的数量,控制基线周。分析是基于意向治疗进行的,作为组间比较。在最终分析之前,进行了连续的贝叶斯分析(n=20、23、29、37、41、45),以在计划的最大招募(n=150)之前提前停止试验。最终分析(n=75)显示出强烈的治疗效果证据(贝叶斯因子,BF=1.25×10):即时组报告的 IM 较少(中位数=1,IQR=0-3)比延迟组(中位数=10,IQR=6-16.5)。通过进一步的数字增强,干预措施(n=28)也显示出积极的治疗效果(BF=7.31)。连续的贝叶斯分析为减轻医护人员与工作相关的创伤性 IM 提供了证据。这种方法还允许我们早期排除负面效果,减少计划的最大样本量,并允许评估增强功能。试验注册 NCT04992390(www.clinicaltrials.gov)。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f695/10615744/030d2f20ca3b/41380_2023_2062_Fig1_HTML.jpg

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