Evidence map›Paper›PMID 36420437›Full record

ReviewJMIR infodemiology

COVID-19-Related Health Inequalities Induced by the Use of Social Media: Systematic Review.

Yi Shan, Meng Ji, Wenxiu Xie, Xiaomin Zhang, Harrison Ng Chok, Rongying Li, Xiaobo Qian, Kam-Yiu Lam, Chi-Yin Chow, Tianyong Hao

Abstract readReview
In one paragraph

Review in JMIR infodemiology. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors.

Yi ShanNantong University Nantong China.ORCID https://orcid.org/0000-0003-3168-1585
Meng JiUniversity of Sydney Sydney Australia.ORCID https://orcid.org/0000-0002-7463-9208
Wenxiu XieCity University of Hong Kong Hong Kong China.ORCID https://orcid.org/0000-0002-8528-5193
Xiaomin ZhangMacquarie University Sydney Australia.ORCID https://orcid.org/0000-0002-1146-9141
Harrison Ng ChokWestern Sydney Local Health District Parramatta Australia.ORCID https://orcid.org/0000-0003-1351-373X
Rongying LiSouth China Normal University Guangzhou China.ORCID https://orcid.org/0000-0002-0502-2124
Xiaobo QianSouth China Normal University Guangzhou China.ORCID https://orcid.org/0000-0001-5819-4379
Kam-Yiu LamCity University of Hong Kong Hong Kong China.ORCID https://orcid.org/0000-0003-0673-3566
Chi-Yin ChowCity University of Hong Kong Hong Kong China.ORCID https://orcid.org/0000-0002-9566-0743
Tianyong HaoSouth China Normal University Guangzhou China.ORCID https://orcid.org/0000-0002-9792-3949

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: COVID-19-related health inequalities were reported in some studies, showing the failure in public health and communication. Studies investigating the contexts and causes of these inequalities pointed to the contribution of communication inequality or poor health literacy and information access to engagement with health care services. However, no study exclusively dealt with health inequalities induced by the use of social media during COVID-19. Objective: This review aimed to identify and summarize COVID-19-related health inequalities induced by the use of social media and the associated contributing factors and to characterize the relationship between the use of social media and health disparities during the COVID-19 pandemic. Methods: A systematic review was conducted on this topic in light of the protocol of the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) 2020 statement. Keyword searches were performed to collect papers relevant to this topic in multiple databases: PubMed (which includes MEDLINE [Ovid] and other subdatabases), ProQuest (which includes APA PsycINFO, Biological Science Collection, and others), ACM Digital Library, and Web of Science, without any year restriction. Of the 670 retrieved publications, 10 were initially selected based on the predefined selection criteria. These 10 articles were then subjected to quality analysis before being analyzed in the final synthesis and discussion. Results: Of the 10 articles, 1 was further removed for not meeting the quality assessment criteria. Finally, 9 articles were found to be eligible and selected for this review. We derived the characteristics of these studies in terms of publication years, journals, study locations, locations of study participants, study design, sample size, participant characteristics, and potential risk of bias, and the main results of these studies in terms of the types of social media, social media use-induced health inequalities, associated factors, and proposed resolutions. On the basis of the thematic synthesis of these extracted data, we derived 4 analytic themes, namely health information inaccessibility-induced health inequalities and proposed resolutions, misinformation-induced health inequalities and proposed resolutions, disproportionate attention to COVID-19 information and proposed resolutions, and higher odds of social media-induced psychological distress and proposed resolutions. Conclusions: This paper was the first systematic review on this topic. Our findings highlighted the great value of studying the COVID-19-related health knowledge gap, the digital technology-induced unequal distribution of health information, and the resulting health inequalities, thereby providing empirical evidence for understanding the relationship between social media use and health inequalities in the context of COVID-19 and suggesting practical solutions to such disparities. Researchers, social media, health practitioners, and policy makers can draw on these findings to promote health equality while minimizing social media use-induced health inequalities.

Indexed as

COVID-19health inequalitiesmobile phonesocial media usesystematic review

Identifiers

PMID36420437
PMCPMC9672898

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.