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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 t...

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Autores principales: Lei, Xiang-Guo, Huang, Zhongheng, Rashi, Tamrakar, Yang, Xi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Publishing Group 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9171196/
https://www.ncbi.nlm.nih.gov/pubmed/35667735
http://dx.doi.org/10.1136/bmjopen-2021-052443
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author Lei, Xiang-Guo
Huang, Zhongheng
Rashi, Tamrakar
Yang, Xi
author_facet Lei, Xiang-Guo
Huang, Zhongheng
Rashi, Tamrakar
Yang, Xi
author_sort Lei, Xiang-Guo
collection PubMed
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 pubmed-91711962022-06-16 Effectiveness of mHealth/eHealth interventions on obesity treatment: a protocol for umbrella review of meta-analyses Lei, Xiang-Guo Huang, Zhongheng Rashi, Tamrakar Yang, Xi BMJ Open Evidence Based Practice 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. BMJ Publishing Group 2022-06-06 /pmc/articles/PMC9171196/ /pubmed/35667735 http://dx.doi.org/10.1136/bmjopen-2021-052443 Text en © Author(s) (or their employer(s)) 2022. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ. https://creativecommons.org/licenses/by-nc/4.0/This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, appropriate credit is given, any changes made indicated, and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/ (https://creativecommons.org/licenses/by-nc/4.0/) .
spellingShingle Evidence Based Practice
Lei, Xiang-Guo
Huang, Zhongheng
Rashi, Tamrakar
Yang, Xi
Effectiveness of mHealth/eHealth interventions on obesity treatment: a protocol for umbrella review of meta-analyses
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
topic Evidence Based Practice
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9171196/
https://www.ncbi.nlm.nih.gov/pubmed/35667735
http://dx.doi.org/10.1136/bmjopen-2021-052443
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