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Promoting Psychological Well-Being at Work by Reducing Stress and Improving Sleep: Mixed-Methods Analysis

机译:通过减少压力和改善睡眠来促进工作中的心理健康:混合方法分析

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BackgroundWorkplace programs designed to improve the health and psychological well-being of employees are becoming increasingly popular. However, there are mixed reports regarding the effectiveness of such programs and little analysis of what helps people to engage with such programs.ObjectiveThis evaluation of a particularly broad, team-based, digital health and well-being program uses mixed methods to identify the elements of the program that reduce work stress and promote psychological well-being, sleep quality, and productivity of employees.MethodsParticipation in the Virgin Pulse Global Challenge program during May to September 2016 was studied. Self-reported stress, sleep quality, productivity, and psychological well-being data were collected both pre- and postprogram. Participant experience data were collected through a third final survey. However, the response rates for the last 2 surveys were only 48% and 10%, respectively. A random forest was used to estimate the probability of the completion of the last 2 surveys based on the preprogram assessment data and the demographic data for the entire sample (N=178,350). The inverse of these estimated probabilities were used as weights in hierarchical linear models in an attempt to address any estimation bias caused by the low response rates. These linear models described changes in psychological well-being, stress, sleep, and productivity over the duration of the program in relation to gender and age, engagement with each of the modules, each of the program features, and participant descriptions of the Virgin Pulse Global Challenge. A 0.1% significance level was used due to the large sample size for the final survey (N=18,653).ResultsThe final analysis suggested that the program is more beneficial for older people, with 2.9% greater psychological well-being improvements observed on average in the case of women than men ( P <.001). With one exception, all the program modules contributed significantly to the outcome measures with the following average improvements observed: psychological well-being, 4.1%-6.0%; quality of sleep, 3.2%-6.9%; work-related stress, 1.7%-6.8%; and productivity, 1.9%-4.2%. However, only 4 of the program features were found to have significant associations with the outcome measures with the following average improvements observed: psychological well-being, 3.7%-5.6%; quality of sleep, 3.4%-6.5%; work-related stress, 4.1%-6.4%; and productivity, 1.6%-3.2%. Finally, descriptions of the Virgin Pulse Global Challenge produced 5 text topics that were related to the outcome measures. Healthy lifestyle descriptions showed a positive association with outcomes, whereas physical activity and step count tracking descriptions showed a negative association with outcomes.ConclusionsThe complementary use of qualitative and quantitative survey data in a mixed-methods analysis provided rich information that will inform the development of this and other programs designed to improve employee health. However, the low response rates and the lack of a control group are limitations, despite the attempts to address these problems in the analysis.
机译:背景旨在改善员工健康和心理健康的工作场所计划越来越受欢迎。但是,关于此类计划的有效性的报告不一,对帮助人们参与此类计划的因素的分析也很少。目标对基于团队的特别广泛的数字健康与福祉计划的评估使用混合方法来识别要素该方法旨在减少工作压力并促进员工的心理健康,睡眠质量和生产力。方法研究了2016年5月至2016年9月参加的Virgin Pulse全球挑战计划。在程序前和程序后收集自我报告的压力,睡眠质量,生产率和心理健康数据。通过第三次最终调查收集了参与者的经验数据。但是,最近两次调查的答复率分别仅为48%和10%。基于程序前评估数据和整个样本的人口统计数据,使用了一个随机森林来评估最近两次调查的完成概率(N = 178,350)。这些估计概率的倒数用作分层线性模型中的权重,以尝试解决由低响应率引起的任何估计偏差。这些线性模型描述了该计划在持续时间内与性别和年龄有关的心理健康,压力,睡眠和生产力的变化,与每个模块的互动,每个计划功能以及对Virgin Virgin的参与者描述全球挑战。由于最终调查的样本量较大(N = 18,653),因此使用了0.1%的显着性水平。结果最终分析表明,该计划对老年人更有利,在平均水平上,该人的心理健康状况改善了2.9%。女人比男人的情况(P <.001)。除一个例外,所有计划模块均对结果指标做出了重大贡献,并观察到以下平均改善:心理健康,4.1%-6.0%;睡眠质量3.2%-6.9%;与工作有关的压力为1.7%-6.8%;生产率为1.9%-4.2%。但是,只有4个项目功能与结果指标有显着关联,平均观察到以下改善:心理健康,3.7%-5.6%;睡眠质量,3.4%-6.5%;工作压力4.1%-6.4%;和生产率为1.6%-3.2%。最后,对“ Virgin Pulse全球挑战赛”的描述产生了5个与结果度量相关的文本主题。健康的生活方式描述与结果呈正相关,而体育活动和步数跟踪描述与结果呈负相关。结论在混合方法分析中定性和定量调查数据的互补使用提供了丰富的信息,可为这一发展提供信息和其他旨在改善员工健康的计划。但是,尽管尝试在分析中解决这些问题,但响应率低和缺少对照组是局限性。

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