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Social media–based interventions for patients with cancer: a meta-analysis and meta-regression of randomised controlled trials

PURPOSE: This review aimed to (1) evaluate the effectiveness of social media–based interventions for improving the quality of life, anxiety and depressive symptoms of patients with cancer at post-intervention and follow-up; (2) identify the essential features of social media–based interventions and...

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Autores principales: Siew, Li En Dana, Teo, Neil Russell, Ang, Wei How Darryl, Lau, Ying
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer US 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9372974/
https://www.ncbi.nlm.nih.gov/pubmed/35960428
http://dx.doi.org/10.1007/s11764-022-01244-6
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author Siew, Li En Dana
Teo, Neil Russell
Ang, Wei How Darryl
Lau, Ying
author_facet Siew, Li En Dana
Teo, Neil Russell
Ang, Wei How Darryl
Lau, Ying
author_sort Siew, Li En Dana
collection PubMed
description PURPOSE: This review aimed to (1) evaluate the effectiveness of social media–based interventions for improving the quality of life, anxiety and depressive symptoms of patients with cancer at post-intervention and follow-up; (2) identify the essential features of social media–based interventions and (3) explore the covariates of the treatment effect. METHODS: All types of randomised controlled trials (RCTs) were included. Ten electronic databases, clinical trial registries and grey literature sources were searched from inception to 15 December 2021. Stata software was used to perform meta-analysis, subgroup analyses and meta-regression analyses. Individual quality assessment and certainty of evidence were assessed using Cochrane risk of bias tool version 1 and Grading of Recommendations Assessments, Development and Evaluation criteria, respectively. RESULTS: This review included 43 RCTs, which comprised 6239 patients with a total mean age of 49.71 years old from across 11 countries. Social media–based interventions significantly improved the quality of life (g = 0.25, 95% CI = 0.05–0.45) and anxiety symptoms (g =  − 0.41, 95% CI =  − 0.76–0.07) but not depressive symptoms. The essential features based on the subgroup analysis concluded that using a mobile device with a flexible frequency had a remarkably greater effect on the quality of life and anxiety symptoms than their counterparts. The meta-regression showed the covariate features, where having more social media features in interventions significantly improved the quality of life (β = 0.21, p = 0.01). The certainty of evidence was very low for all outcomes. CONCLUSIONS: Participants who received social media–based interventions may experience an increase in quality of life and reduction in anxiety symptoms. IMPLICATIONS FOR CANCER SURVIVORS: Social media–based interventions may complement usual care in improving quality of life and anxiety symptoms. Registration in PROSPERO CRD42022297956. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s11764-022-01244-6.
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spelling pubmed-93729742022-08-12 Social media–based interventions for patients with cancer: a meta-analysis and meta-regression of randomised controlled trials Siew, Li En Dana Teo, Neil Russell Ang, Wei How Darryl Lau, Ying J Cancer Surviv Meta Analyses PURPOSE: This review aimed to (1) evaluate the effectiveness of social media–based interventions for improving the quality of life, anxiety and depressive symptoms of patients with cancer at post-intervention and follow-up; (2) identify the essential features of social media–based interventions and (3) explore the covariates of the treatment effect. METHODS: All types of randomised controlled trials (RCTs) were included. Ten electronic databases, clinical trial registries and grey literature sources were searched from inception to 15 December 2021. Stata software was used to perform meta-analysis, subgroup analyses and meta-regression analyses. Individual quality assessment and certainty of evidence were assessed using Cochrane risk of bias tool version 1 and Grading of Recommendations Assessments, Development and Evaluation criteria, respectively. RESULTS: This review included 43 RCTs, which comprised 6239 patients with a total mean age of 49.71 years old from across 11 countries. Social media–based interventions significantly improved the quality of life (g = 0.25, 95% CI = 0.05–0.45) and anxiety symptoms (g =  − 0.41, 95% CI =  − 0.76–0.07) but not depressive symptoms. The essential features based on the subgroup analysis concluded that using a mobile device with a flexible frequency had a remarkably greater effect on the quality of life and anxiety symptoms than their counterparts. The meta-regression showed the covariate features, where having more social media features in interventions significantly improved the quality of life (β = 0.21, p = 0.01). The certainty of evidence was very low for all outcomes. CONCLUSIONS: Participants who received social media–based interventions may experience an increase in quality of life and reduction in anxiety symptoms. IMPLICATIONS FOR CANCER SURVIVORS: Social media–based interventions may complement usual care in improving quality of life and anxiety symptoms. Registration in PROSPERO CRD42022297956. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s11764-022-01244-6. Springer US 2022-08-12 /pmc/articles/PMC9372974/ /pubmed/35960428 http://dx.doi.org/10.1007/s11764-022-01244-6 Text en © The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2022, Springer Nature or its licensor holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic.
spellingShingle Meta Analyses
Siew, Li En Dana
Teo, Neil Russell
Ang, Wei How Darryl
Lau, Ying
Social media–based interventions for patients with cancer: a meta-analysis and meta-regression of randomised controlled trials
title Social media–based interventions for patients with cancer: a meta-analysis and meta-regression of randomised controlled trials
title_full Social media–based interventions for patients with cancer: a meta-analysis and meta-regression of randomised controlled trials
title_fullStr Social media–based interventions for patients with cancer: a meta-analysis and meta-regression of randomised controlled trials
title_full_unstemmed Social media–based interventions for patients with cancer: a meta-analysis and meta-regression of randomised controlled trials
title_short Social media–based interventions for patients with cancer: a meta-analysis and meta-regression of randomised controlled trials
title_sort social media–based interventions for patients with cancer: a meta-analysis and meta-regression of randomised controlled trials
topic Meta Analyses
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9372974/
https://www.ncbi.nlm.nih.gov/pubmed/35960428
http://dx.doi.org/10.1007/s11764-022-01244-6
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