Design and Implementation of a Brief Digital Mindfulness and Compassion Training App for Health Care Professionals: Cluster Randomized Controlled Trial.

IF 4.8 2区 医学 Q1 PSYCHIATRY
Jmir Mental Health Pub Date : 2024-01-22 DOI:10.2196/49467
Satish Jaiswal, Suzanna R Purpura, James K Manchanda, Jason Nan, Nihal Azeez, Dhakshin Ramanathan, Jyoti Mishra
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引用次数: 0

Abstract

Background: Several studies show that intense work schedules make health care professionals particularly vulnerable to emotional exhaustion and burnout.

Objective: In this scenario, promoting self-compassion and mindfulness may be beneficial for well-being. Notably, scalable, digital app-based methods may have the potential to enhance self-compassion and mindfulness in health care professionals.

Methods: In this study, we designed and implemented a scalable, digital app-based, brief mindfulness and compassion training program called "WellMind" for health care professionals. A total of 22 adult participants completed up to 60 sessions of WellMind training, 5-10 minutes in duration each, over 3 months. Participants completed behavioral assessments measuring self-compassion and mindfulness at baseline (preintervention), 3 months (postintervention), and 6 months (follow-up). In order to control for practice effects on the repeat assessments and calculate effect sizes, we also studied a no-contact control group of 21 health care professionals who only completed the repeated assessments but were not provided any training. Additionally, we evaluated pre- and postintervention neural activity in core brain networks using electroencephalography source imaging as an objective neurophysiological training outcome.

Results: Findings showed a post- versus preintervention increase in self-compassion (Cohen d=0.57; P=.007) and state-mindfulness (d=0.52; P=.02) only in the WellMind training group, with improvements in self-compassion sustained at follow-up (d=0.8; P=.01). Additionally, WellMind training durations correlated with the magnitude of improvement in self-compassion across human participants (ρ=0.52; P=.01). Training-related neurophysiological results revealed plasticity specific to the default mode network (DMN) that is implicated in mind-wandering and rumination, with DMN network suppression selectively observed at the postintervention time point in the WellMind group (d=-0.87; P=.03). We also found that improvement in self-compassion was directly related to the extent of DMN suppression (ρ=-0.368; P=.04).

Conclusions: Overall, promising behavioral and neurophysiological findings from this first study demonstrate the benefits of brief digital mindfulness and compassion training for health care professionals and compel the scale-up of the digital intervention.

Trial registration: Trial Registration: International Standard Randomized Controlled Trial Number Registry ISRCTN94766568, https://www.isrctn.com/ISRCTN94766568.

为医护人员设计和实施简短的数字正念与慈悲培训应用程序:分组随机对照试验。
背景:多项研究表明,紧张的工作安排使医护人员特别容易出现情绪衰竭和职业倦怠:多项研究表明,紧张的工作安排使医护人员特别容易出现情绪衰竭和职业倦怠:在这种情况下,促进自我同情和正念可能有益于身心健康。值得注意的是,可扩展的、基于数字应用程序的方法可能具有增强医护人员自我同情和正念的潜力:在这项研究中,我们为医护人员设计并实施了一个可扩展的、基于数字应用程序的、简短的正念和同情心培训项目,名为 "WellMind"。共有 22 名成人参与者在 3 个月内完成了多达 60 次的 WellMind 培训,每次 5-10 分钟。参与者分别在基线(干预前)、3 个月(干预后)和 6 个月(随访)完成了测量自我同情和正念的行为评估。为了控制重复评估的练习效果并计算效果大小,我们还研究了由 21 名医护人员组成的无接触对照组,他们只完成了重复评估,但未接受任何培训。此外,我们还使用脑电图源成像评估了干预前后核心大脑网络的神经活动,作为客观的神经生理学培训结果:研究结果表明,只有 WellMind 培训组的自我同情(Cohen d=0.57;P=.007)和状态正念(d=0.52;P=.02)在干预后与干预前相比有所提高,自我同情的提高在随访中得以持续(d=0.8;P=.01)。此外,WellMind 训练持续时间与人类参与者自我同情的改善程度相关(ρ=0.52;P=.01)。与训练相关的神经生理学结果显示,默认模式网络(DMN)具有特定的可塑性,这种可塑性与思绪游荡和反刍有关,在 WellMind 组的干预后时间点选择性地观察到了 DMN 网络抑制(d=-0.87;P=.03)。我们还发现,自我同情的改善与DMN抑制的程度直接相关(ρ=-0.368;P=.04):总之,第一项研究在行为学和神经生理学方面取得了令人鼓舞的结果,证明了简短的数字化正念和同情训练对医护人员的益处,并促使我们扩大数字化干预的规模:试验注册:试验注册:国际标准随机对照试验编号登记处 ISRCTN94766568,https://www.isrctn.com/ISRCTN94766568。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Jmir Mental Health
Jmir Mental Health Medicine-Psychiatry and Mental Health
CiteScore
10.80
自引率
3.80%
发文量
104
审稿时长
16 weeks
期刊介绍: JMIR Mental Health (JMH, ISSN 2368-7959) is a PubMed-indexed, peer-reviewed sister journal of JMIR, the leading eHealth journal (Impact Factor 2016: 5.175). JMIR Mental Health focusses on digital health and Internet interventions, technologies and electronic innovations (software and hardware) for mental health, addictions, online counselling and behaviour change. This includes formative evaluation and system descriptions, theoretical papers, review papers, viewpoint/vision papers, and rigorous evaluations.
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