Effectiveness of mHealth/eHealth interventions on obesity treatment: a protocol for umbrella review of meta-analyses

Introduction Mobile health (mHealth)/electronic health (eHealth) have the effect of facilitating weight loss in overweight and obese populations. However, studies have shown varied results and relatively high heterogeneity in the efficacy of mHealth/eHealth interventions. The aim of the paper was to...

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Main Authors: Xi Yang, Xiang-Guo Lei, Zhongheng Huang, Tamrakar Rashi
Format: Article
Language:English
Published: BMJ Publishing Group 2022-06-01
Series:BMJ Open
Online Access:https://bmjopen.bmj.com/content/12/6/e052443.full
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author Xi Yang
Xiang-Guo Lei
Zhongheng Huang
Tamrakar Rashi
author_facet Xi Yang
Xiang-Guo Lei
Zhongheng Huang
Tamrakar Rashi
author_sort Xi Yang
collection DOAJ
description Introduction Mobile health (mHealth)/electronic health (eHealth) have the effect of facilitating weight loss in overweight and obese populations. However, studies have shown varied results and relatively high heterogeneity in the efficacy of mHealth/eHealth interventions. The aim of the paper was to systematically summarise published studies about the weight loss efficacy of mHealth/eHealth.Methods and analysis A comprehensive review of PubMed, Embase and Cochrane Library databases published from inception to 21 March 2021 will be conducted. The selected articles are meta-analyses that integrated the studies, which evaluated efficacy of mHealth/eHealth. Two people will select eligible articles and extract data independently. Any disputes will be resolved by discussion or the arbitration of a third person. The methodological quality of the included meta-analyses will be assessed with AMSTAR V.2 and the quality of evidence will be obtained with Grade of Recommendations Assessment, Development and Evaluation (GRADE). The study selection process will be presented using a flowchart. We will reanalyse each outcome with random effect methods. If possible, we will use funnel plot and Egger’s test to evaluate if publication bias existed.Ethics and dissemination Ethical approval is not required for the study, as we collected data only from available published materials. This umbrella review will also be submitted to a peer-reviewed journal for publication after completion.PROSPERO registration number CRD42021247006.
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spelling doaj-art-87a8d7c1272e4c7d9d023c8ef2a1c15f2025-01-24T08:05:12ZengBMJ Publishing GroupBMJ Open2044-60552022-06-0112610.1136/bmjopen-2021-052443Effectiveness of mHealth/eHealth interventions on obesity treatment: a protocol for umbrella review of meta-analysesXi Yang0Xiang-Guo Lei1Zhongheng Huang2Tamrakar Rashi3Department of Pharmacy, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, ChinaGeriatrics Department of Endocrinology and Metabolism, Guangxi Medical University First Affiliated Hospital, Nanning, Guangxi, ChinaKey Laboratory of Early Prevention and Treatment for Regional High Frequency Tumor, Guangxi Medical University, Nanning, Guangxi, ChinaGeriatrics Department of Endocrinology and Metabolism, Guangxi Medical University First Affiliated Hospital, Nanning, Guangxi, ChinaIntroduction Mobile health (mHealth)/electronic health (eHealth) have the effect of facilitating weight loss in overweight and obese populations. However, studies have shown varied results and relatively high heterogeneity in the efficacy of mHealth/eHealth interventions. The aim of the paper was to systematically summarise published studies about the weight loss efficacy of mHealth/eHealth.Methods and analysis A comprehensive review of PubMed, Embase and Cochrane Library databases published from inception to 21 March 2021 will be conducted. The selected articles are meta-analyses that integrated the studies, which evaluated efficacy of mHealth/eHealth. Two people will select eligible articles and extract data independently. Any disputes will be resolved by discussion or the arbitration of a third person. The methodological quality of the included meta-analyses will be assessed with AMSTAR V.2 and the quality of evidence will be obtained with Grade of Recommendations Assessment, Development and Evaluation (GRADE). The study selection process will be presented using a flowchart. We will reanalyse each outcome with random effect methods. If possible, we will use funnel plot and Egger’s test to evaluate if publication bias existed.Ethics and dissemination Ethical approval is not required for the study, as we collected data only from available published materials. This umbrella review will also be submitted to a peer-reviewed journal for publication after completion.PROSPERO registration number CRD42021247006.https://bmjopen.bmj.com/content/12/6/e052443.full
spellingShingle Xi Yang
Xiang-Guo Lei
Zhongheng Huang
Tamrakar Rashi
Effectiveness of mHealth/eHealth interventions on obesity treatment: a protocol for umbrella review of meta-analyses
BMJ Open
title Effectiveness of mHealth/eHealth interventions on obesity treatment: a protocol for umbrella review of meta-analyses
title_full Effectiveness of mHealth/eHealth interventions on obesity treatment: a protocol for umbrella review of meta-analyses
title_fullStr Effectiveness of mHealth/eHealth interventions on obesity treatment: a protocol for umbrella review of meta-analyses
title_full_unstemmed Effectiveness of mHealth/eHealth interventions on obesity treatment: a protocol for umbrella review of meta-analyses
title_short Effectiveness of mHealth/eHealth interventions on obesity treatment: a protocol for umbrella review of meta-analyses
title_sort effectiveness of mhealth ehealth interventions on obesity treatment a protocol for umbrella review of meta analyses
url https://bmjopen.bmj.com/content/12/6/e052443.full
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