转换范式:促进轮班工人睡眠健康的实施科学

G Vincent, H Thorne, R Sophocleous, A Shriane, C Vandelanotte, M Duncan, M Sprajcer, C Gupta, G Rigney, C Hilditch, T Kolbe-Alexander, M Thomas, S Ferguson
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摘要

为了解决倒班工人睡眠健康这一紧迫的公共卫生问题,我们的研究检查了量身定制的睡眠干预应用程序Sleepfit的应用和有效性。我们评估了覆盖范围、有效性、采用和维护情况,同时确定了不同倒班行业的潜在实施障碍。该研究分为两个阶段,首先通过整合专门针对倒班工人的睡眠改善策略,对最初为白班工人开发的Sleepfit应用程序进行优化。然后基于RE-AIM框架评估大规模实施的可行性,考虑范围、有效性、采用、实施和维护。本研究涉及现有轮班工人(当前样本,n=29;预期最终样本n=90)。使用经过验证的睡眠健康测量和RE-AIM指标,并通过混合方法分析数据。结果初步结果显示,睡眠满意度显著提高,失眠严重程度降低,表明干预在改善睡眠结果方面具有潜力。我们还观察到健康睡眠习惯的增加,不良睡眠行为的显著减少证明了这一点。有趣的是,我们的初步研究结果为那些通常有问题的睡眠习惯的年轻轮班工人提供了具体的好处。初步数据显示,71%的轮班工人在干预后两周使用该应用程序,23%的人在长期维护评估期间继续使用该应用程序。由于数据收集正在进行中,随后将提出一份详细的分析,包括可行性和所有RE-AIM方面。初步研究结果表明,Sleepfit应用程序可以作为倒班工人有效的睡眠健康干预措施,但需要进一步分析以充分了解其可行性和长期采用。
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P079 Shifting the Paradigm: Implementation Science in Enhancing Sleep Health among Shiftworkers
Abstract Introduction Addressing the urgent public health concern of sleep health among shiftworkers, our study examined the application and effectiveness of a tailored sleep intervention, the Sleepfit app. We assessed reach, effectiveness, adoption, and maintenance, while identifying potential implementation barriers across diverse shiftwork industries. Methods The two-phase study commenced with the Sleepfit app's optimisation, originally developed for day workers, by integrating sleep improvement strategies specifically for shiftworkers. The feasibility of large-scale implementation was then evaluated based on the RE-AIM framework, considering reach, effectiveness, adoption, implementation, and maintenance. The study involved existing shiftworkers (current sample, n=29; anticipated final sample n=90). Validated sleep health measures and RE-AIM metrics were used, with data analysed through a mixed-methods approach. Results Preliminary results indicate significant improvement in sleep satisfaction and reduction in insomnia severity, indicating the potential of the intervention in enhancing sleep outcomes. We also observed increased engagement with healthy sleep practices, demonstrated by a significant decrease in poor sleep behaviours. Interestingly, our preliminary findings propose specific benefits for younger shiftworkers who typically engage in problematic sleep practices. Preliminary data suggests 71% of shiftworkers engaged with the app at 2-weeks post intervention, with 23% continuing to use the app during long-term maintenance evaluation. As data collection is ongoing, a detailed analysis incorporating feasibility and all RE-AIM dimensions will be subsequently presented. Conclusion Preliminary findings suggest the Sleepfit app may serve as an effective sleep health intervention among shiftworkers, with further analyses needed to fully understand its feasibility and long-term adoption.
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