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数字行为教练干预改善员工健康状况的真实世界结果:回顾性观察研究。

Real-World Outcomes of a Digital Behavioral Coaching Intervention to Improve Employee Health Status: Retrospective Observational Study.

机构信息

Naluri Hidup Sdn Bhd, Kuala Lumpur, Malaysia.

出版信息

JMIR Mhealth Uhealth. 2024 Sep 10;12:e50356. doi: 10.2196/50356.

DOI:10.2196/50356
PMID:39255013
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11422728/
Abstract

BACKGROUND

Chronic noncommunicable diseases (NCDs) account for major disability and premature mortality worldwide, with low- and middle-income countries being disproportionately burdened. Given the negative impact of NCDs on employee performance and work productivity, there is a rising need for stakeholders to identify effective workplace solutions that can improve employee health outcomes. As the workplace becomes more dispersed post pandemic, digital behavioral coaching offers a scalable, personalized, and cost-effective method of managing chronic disease risk factors among employees.

OBJECTIVE

This study aimed to retrospectively evaluate the impact of a digital behavioral coaching program on year-to-year changes in employee health status in a cohort of Indonesian employees.

METHODS

This retrospective real-world exploratory analysis of secondary health data followed 774 employees of an Indonesian company who completed company-sponsored health screenings between 2021 and 2022 and were given access to Naluri (Naluri Hidup Sdn Bhd), a holistic digital therapeutics platform offering digital behavioral health coaching and self-help tools. Participants were retrospectively classified as those who received active coaching (n=177), passive coaching (n=108), and no coaching (n=489). Linear mixed-effects models were used to evaluate the year-to-year changes in health outcomes across the 3 employee groups, with post hoc analyses evaluating within-group differences between the 2 time points and between-group differences at follow-up.

RESULTS

Significant time×group interaction effects were detected for body weight, BMI, hemoglobin A, low-density lipoprotein, total cholesterol, and systolic and diastolic blood pressure. Post hoc pairwise comparisons revealed significant improvements in hemoglobin A (mean difference [M]=-0.14, P=.008), high-density lipoprotein (M=+2.14, P<.001), and total cholesterol (M=-11.45, P<.001) for employees in the Active Coaching group between 2021 and 2022, with the other 2 groups reporting deteriorations in multiple health outcomes throughout the 2 time points. At follow-up, those who received active coaching between 2021 and 2022 reported significantly lower body weight (P<.001), BMI (P=.001), low-density lipoprotein (P=.045), and total cholesterol (P<.001) than the No Coaching group.

CONCLUSIONS

This study demonstrates real-world outcomes and implications supporting the use of workplace digital behavioral coaching in improving employee health status. Given the rising burden of NCDs in the Southeast Asian region, our findings underscore the role that workplace digital health interventions can play in preventing and managing chronic disease risk factors.

摘要

背景

慢性非传染性疾病(NCDs)在全球范围内导致了主要的残疾和过早死亡,中低收入国家的负担不成比例。鉴于 NCDs 对员工绩效和工作生产力的负面影响,利益相关者越来越需要确定有效的工作场所解决方案,以改善员工的健康结果。随着大流行后工作场所变得更加分散,数字行为辅导提供了一种可扩展、个性化和具有成本效益的方法来管理员工的慢性病危险因素。

目的

本研究旨在回顾性评估数字行为辅导计划对印度尼西亚员工队列中员工健康状况逐年变化的影响。

方法

这是一项对二级健康数据的回顾性真实世界探索性分析,共纳入 774 名印度尼西亚公司的员工,他们在 2021 年至 2022 年间完成了公司赞助的健康筛查,并获得了 Naluri(Naluri Hidup Sdn Bhd)的访问权限,这是一个提供数字行为健康辅导和自助工具的整体数字治疗平台。参与者被回顾性地分为接受主动辅导(n=177)、被动辅导(n=108)和无辅导(n=489)三组。线性混合效应模型用于评估 3 组员工的健康结果逐年变化,事后分析评估了两组间在两个时间点的差异以及随访时的组间差异。

结果

在体重、BMI、血红蛋白 A、低密度脂蛋白、总胆固醇、收缩压和舒张压方面,检测到显著的时间×组交互效应。事后两两比较显示,主动辅导组员工的血红蛋白 A(平均差异 [M]=-0.14,P=.008)、高密度脂蛋白(M=+2.14,P<.001)和总胆固醇(M=-11.45,P<.001)显著改善,而其他两组报告在两个时间点多个健康结果恶化。在随访时,2021 年至 2022 年期间接受主动辅导的员工报告的体重(P<.001)、BMI(P=.001)、低密度脂蛋白(P=.045)和总胆固醇(P<.001)明显低于无辅导组。

结论

本研究展示了支持在改善员工健康状况方面使用工作场所数字行为辅导的真实世界结果和影响。鉴于东南亚地区 NCD 负担不断增加,我们的研究结果强调了工作场所数字健康干预措施在预防和管理慢性病危险因素方面的作用。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7b78/11422728/c98de949aa35/mhealth_v12i1e50356_fig1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7b78/11422728/c98de949aa35/mhealth_v12i1e50356_fig1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7b78/11422728/c98de949aa35/mhealth_v12i1e50356_fig1.jpg

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