通过基于应用程序的干预措施改善护理人员的睡眠健康：一项随机等待对照试验。

Improving sleep health in paramedics through an app-based intervention: a randomised waitlist control pilot trial.

机构信息

Appleton Institute, School of Health, Medical and Applied Sciences, Central Queensland University, 44 Greenhill Road, Wayville, Adelaide, SA, 5034, Australia.

Motivation of Health Behaviours Lab, Appleton Institute, School of Health, Medical and Applied Sciences, Central Queensland University, Rockhampton, QLD, Australia.

出版信息

BMC Public Health. 2024 Sep 3;24(1):2395. doi: 10.1186/s12889-024-19823-w.

DOI:10.1186/s12889-024-19823-w

PMID:39227826

原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11373143/

Abstract

BACKGROUND

Due to work commitments, shiftworkers often obtain inadequate sleep, consequently experiencing negative health, wellbeing, and safety outcomes. Given shiftworkers may have limited control over their work commitments, lifestyle and environmental factors within their control may present an intervention opportunity. However, such interventions require tailoring to ensure applicability for this sleep-vulnerable population.

METHODS

A randomised waitlist control pilot trial investigated the effectiveness of mobile health application Sleepfit, which delivered a tailored sleep health intervention aimed at improving sleep health and sleep hygiene outcomes amongst paramedic shiftworkers. Outcome measures of self-reported sleep health (sleep need, duration, and quality, fatigue, Insomnia Severity Index, Fatigue Severity Scale, and Epworth Sleepiness Scale scores) and sleep hygiene (Sleep Hygiene Index score) were collected at baseline, post-intervention, and 3-month follow-up.

RESULTS

Fifty-eight paramedics (aged 33.4 ± 8.0 years; 50% male) were recruited, and trialed Sleepfit for a 14-day intervention period between August 2021-January 2022. For all participants, there was a significant reduction in Insomnia Severity Index and Sleep Hygiene index scores after intervention engagement. Regression models demonstrated no significant intervention effect on sleep health or sleep hygiene outcomes (intervention versus waitlist control group). A high study drop-out rate (91.4%) prevented assessment of outcomes at 3-month follow-up.

CONCLUSIONS

Pilot trial findings demonstrate that Sleepfit may elicit improvements in sleep health and sleep hygiene outcomes amongst paramedic shiftworkers. However, low enrolment and retention means that findings should be interpreted with caution, further highlighting potential engagement challenges, especially among paramedics who are particularly in need of support for improved sleep.

TRIAL REGISTRATION

Prospectively registered with the Australian New Zealand Clinical Trial Registry 24/01/2020 (reference no. ACTRN12620000059965).

摘要

背景

由于工作需要，轮班工人往往无法获得充足的睡眠，从而导致健康、福利和安全状况恶化。鉴于轮班工人可能对工作安排无法控制，因此，他们可以控制的生活方式和环境因素可能提供了一个干预机会。然而，这种干预措施需要进行定制，以确保适用于这个睡眠易受损的人群。

方法

一项随机等待对照试验研究了移动健康应用程序 Sleepfit 的有效性，该应用程序提供了一项量身定制的睡眠健康干预措施，旨在改善护理人员轮班工人的睡眠健康和睡眠卫生结果。自我报告的睡眠健康（睡眠需求、持续时间和质量、疲劳、失眠严重程度指数、疲劳严重程度量表和 Epworth 嗜睡量表评分）和睡眠卫生（睡眠卫生指数评分）的结果在基线、干预后和 3 个月随访时进行了收集。

结果

共招募了 58 名护理人员（年龄 33.4±8.0 岁；50%为男性），并在 2021 年 8 月至 2022 年 1 月期间试用了 Sleepfit 进行为期 14 天的干预。对于所有参与者，在干预参与后，失眠严重程度指数和睡眠卫生指数评分均显著降低。回归模型显示，睡眠健康或睡眠卫生结果在干预组与等待对照组之间没有显著的干预效果。由于高脱落率（91.4%），无法在 3 个月随访时评估结果。