» Articles » PMID: 35960428

Social Media-based Interventions for Patients with Cancer: a Meta-analysis and Meta-regression of Randomised Controlled Trials

Overview
Journal J Cancer Surviv
Specialty Oncology
Date 2022 Aug 12
PMID 35960428
Authors
Affiliations
Soon will be listed here.
Abstract

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.

Citing Articles

Results of the Italian cross-sectional web-based survey "Nutrition and breast cancer, what would you like to know?" An attempt to collect and respond to patients' information needs, through social media.

Caprara G, Pagan E, Titta L, Tieri M, Magionesi G, Gallosti S Front Oncol. 2024; 14:1436610.

PMID: 39386191 PMC: 11461502. DOI: 10.3389/fonc.2024.1436610.


Applying the Unified Theory of Acceptance and Use of Technology to Identify Factors Associated With Intention to Use Teledelivered Supportive Care Among Recently Diagnosed Breast Cancer Survivors During COVID-19 in Hong Kong: Cross-Sectional Survey.

Yeung N, Lau S, Mak W, Cheng C, Chan E, Siu J JMIR Cancer. 2024; 10:e51072.

PMID: 38935942 PMC: 11240077. DOI: 10.2196/51072.


Partnering With Social Media Influencers to Equitably Improve Adolescent and Young Adult Cancer Outcomes: A Novel Strategy to Support Cancer Care Delivery.

Psihogios A, Roth M, Gomez C, Hekimian-Brogan E, McQueen C, Yanez B JCO Oncol Pract. 2024; 20(6):755-760.

PMID: 38408282 PMC: 11292802. DOI: 10.1200/OP.23.00449.


Development of Quality of Life in Adolescents and Young Adults With Cancer Using a Patient Support Smartphone App: Prepost Interventional Study.

Bentsen L, Hanghoj S, Hjerming M, Bergmann M, Thycosen M, Borup A JMIR Cancer. 2023; 9:e49735.

PMID: 38048144 PMC: 10734624. DOI: 10.2196/49735.


Perspectives and Experiences of Patients With Thyroid Cancer at a Global Level: Retrospective Descriptive Study of Twitter Data.

Meksawasdichai S, Lerksuthirat T, Ongphiphadhanakul B, Sriphrapradang C JMIR Cancer. 2023; 9:e48786.

PMID: 37531163 PMC: 10433024. DOI: 10.2196/48786.

References
1.
Sung H, Ferlay J, Siegel R, Laversanne M, Soerjomataram I, Jemal A . Global Cancer Statistics 2020: GLOBOCAN Estimates of Incidence and Mortality Worldwide for 36 Cancers in 185 Countries. CA Cancer J Clin. 2021; 71(3):209-249. DOI: 10.3322/caac.21660. View

2.
Binkley J, Harris S, Levangie P, Pearl M, Guglielmino J, Kraus V . Patient perspectives on breast cancer treatment side effects and the prospective surveillance model for physical rehabilitation for women with breast cancer. Cancer. 2012; 118(8 Suppl):2207-16. DOI: 10.1002/cncr.27469. View

3.
Adams R, Mosher C, Winger J, Abonour R, Kroenke K . Cancer-related loneliness mediates the relationships between social constraints and symptoms among cancer patients. J Behav Med. 2017; 41(2):243-252. PMC: 5844795. DOI: 10.1007/s10865-017-9892-5. View

4.
Hamann H, Ostroff J, Marks E, Gerber D, Schiller J, Lee S . Stigma among patients with lung cancer: a patient-reported measurement model. Psychooncology. 2013; 23(1):81-92. PMC: 3936675. DOI: 10.1002/pon.3371. View

5.
Frey M, Ellis A, Zeligs K, Chapman-Davis E, Thomas C, Christos P . Impact of the coronavirus disease 2019 pandemic on the quality of life for women with ovarian cancer. Am J Obstet Gynecol. 2020; 223(5):725.e1-725.e9. PMC: 7318934. DOI: 10.1016/j.ajog.2020.06.049. View