Evidence map›Paper›PMID 39026510›Full record

ArticleF1000Research2024

Polarization and health-related behaviours and outcomes during the COVID-19 pandemic: a systematic review protocol.

Aziz Mert Ipekci, Maximilian Filsinger, Diana Buitrago-Garcia, Cristopher I Kobler Betancourt, Annika Frahsa, Nicola Low

Abstract read
In one paragraph

Article in F1000Research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–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

2 citing papers in PubMed.

  1. Article
  2. Article
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

6 authors.

Aziz Mert IpekciGraduate School for Health Sciences, University of Bern, Bern, Switzerland.ORCID https://orcid.org/0000-0002-0260-9691
Maximilian FilsingerMultidisciplinary Center for Infectious Diseases, University of Bern, Bern, Switzerland.
Diana Buitrago-GarciaInstitute of Social Preventive and Medicine, University of Bern, Bern, Switzerland.
Cristopher I Kobler BetancourtGraduate School for Health Sciences, University of Bern, Bern, Switzerland.
Annika FrahsaMultidisciplinary Center for Infectious Diseases, University of Bern, Bern, Switzerland.ORCID https://orcid.org/0000-0002-0207-3989
Nicola LowMultidisciplinary Center for Infectious Diseases, University of Bern, Bern, Switzerland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: The COVID-19 pandemic affected people's health behaviours and health outcomes. Political or affective polarization could be associated with health behaviours such as mask-wearing or vaccine uptake and with health outcomes, e.g., infection or mortality rate. Political polarization relates to divergence or spread of ideological beliefs and affective polarization is about dislike between people of different political groups, such as ideologies or parties. The objectives of this study are to investigate and synthesize evidence about associations between both forms of polarization and COVID-19 health behaviours and outcomes. Methods: In this systematic review, we will include quantitative studies that assess the relationship between political or affective polarization and COVID-19-related behaviours and outcomes, including adherence to mask mandates, vaccine uptake, infection and mortality rate. We will use a predetermined strategy to search EMBASE, Medline (Ovid), Cochrane Library, Cochrane COVID-19 Study Register, Global Health (Ovid), PsycInfo (Ovid), Web of Science, CINAHL, EconLit (EBSCOhost), WHO COVID-19 Database, iSearch COVID-19 Portfolio (NIH) and Google Scholar from 2019 to September 8 2023. One reviewer will screen unique records according to eligibility criteria. A second reviewer will verify the selection. Data extraction, using pre-piloted electronic forms, will follow a similar process. The risk of bias of the included studies will be assessed using the JBI checklist for analytical cross sectional studies. We will summarise the included studies descriptively and examine the heterogeneity between studies. Quantitative data pooling might not be feasible due to variations in measurement methods used to evaluate exposure, affective and political polarization. If there are enough relevant studies for statistical data synthesis, we will conduct a meta-analysis. Discussion: This review will help to better understand the concept of polarization in the context of the COVID-19 pandemic and might inform decision making for future pandemics. Protocol registration: PROSPERO ID: CRD42023475828.

Indexed as

COVID-19Health BehaviorPandemicsSARS-CoV-2Systematic Reviews as TopicHumansMasksPoliticsaffective-polarizationCOVID-19infection-riskmortality.political-polarizationsocial-distancingSystematic reviewvaccination

Identifiers

PMID39026510
PMCPMC11255549

What OpenQuestion holds

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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.