Effect of telemedicine interventions on weight loss: A systematic review and meta-analysis.

IF 3.5 3区医学 Q1 HEALTH CARE SCIENCES & SERVICES Journal of Telemedicine and Telecare Pub Date : 2024-10-07 DOI:10.1177/1357633X241273991

Khadijeh Moulaei, Reza Moulaei, Kambiz Bahaadinbeigy, Saiyad Bastaminejad

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Abstract

Background and objective: Obesity and its associated health challenges represent a pressing global concern. Telemedicine interventions offer a promising solution for effective weight loss support. This study examines the impact of telemedicine interventions on weight loss support.

Methods: We conducted a search of PubMed, Scopus, and Web of Science, starting from their inception. Both researchers systematically selected articles and extracted data using a designated data collection form. To assess the risk of bias in the included studies, we employed the Mixed Methods Appraisal Tool. Publication bias was evaluated through funnel plots and Egger's and Begg's tests. Utilizing the gathered data, we computed the standardized mean differences (Hedges's g) between the treatment and control groups. We estimated heterogeneity variance using the Q test and I² statistic. The analysis was carried out using Stata 17.0.

Results: Out of a total of 2626 retrieved articles, 30 studies were included in the analysis. Telemedicine interventions can cause weight loss in people (Hedges's g = 0.09, 95% CI: -0.13, 0.39; p-value < 0.001). The type of telemedicine intervention and target population were a significant moderator of the heterogeneity between studies (p < 0.05).

Conclusion: This study highlights the potential of telemedicine interventions as valuable tools in weight loss programs. Embracing these technologies can enhance the effectiveness of weight management strategies for diverse populations.

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远程医疗干预对减肥的影响：系统回顾和荟萃分析。

背景和目的：肥胖症及其相关的健康挑战是一个紧迫的全球问题。远程医疗干预为有效的减肥支持提供了一个前景广阔的解决方案。本研究探讨了远程医疗干预对减肥支持的影响：我们对 PubMed、Scopus 和 Web of Science 进行了检索。两位研究人员系统地选择了文章，并使用指定的数据收集表提取了数据。为了评估纳入研究的偏倚风险，我们采用了混合方法评估工具。通过漏斗图、Egger 检验和 Begg 检验来评估发表偏倚。利用收集到的数据，我们计算了治疗组和对照组之间的标准化平均差（Hedges's g）。我们使用 Q 检验和 I2 统计量估算了异质性方差。分析使用 Stata 17.0 进行：在总共 2626 篇检索到的文章中，有 30 项研究被纳入分析。远程医疗干预可以减轻人们的体重（Hedges's g = 0.09，95% CI：-0.13, 0.39；P 值 p 结论：本研究强调了远程医疗干预作为减肥计划中重要工具的潜力。利用这些技术可以提高针对不同人群的体重管理策略的有效性。

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

Journal of Telemedicine and Telecare 医学-卫生保健

CiteScore

14.10

自引率

10.60%

发文量

174

审稿时长

6-12 weeks

期刊介绍： Journal of Telemedicine and Telecare provides excellent peer reviewed coverage of developments in telemedicine and e-health and is now widely recognised as the leading journal in its field. Contributions from around the world provide a unique perspective on how different countries and health systems are using new technology in health care. Sections within the journal include technology updates, editorials, original articles, research tutorials, educational material, review articles and reports from various telemedicine organisations. A subscription to this journal will help you to stay up-to-date in this fast moving and growing area of medicine.