Evidence map›Paper›PMID 35334991›Full record

ArticleVaccines2022

Predictors of COVID-19 Vaccine Hesitancy in South African Local Communities: The VaxScenes Study.

Patrick D M C Katoto, Saahier Parker, Nancy Coulson, Nirvana Pillay, Sara Cooper, Anelisa Jaca, Edison Mavundza, Gregory Houston, Candice Groenewald, Zaynab Essack and 8 more

Open access · goldAbstract read
In one paragraph

Article in Vaccines, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
37citing papers in PubMed, 2 pooled it
10.7field-weighted citation impact, top 1% of its field
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

37 citing papers in PubMed, 2 syntheses or guidelines pooled it, 66 citations in OpenAlex.

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  15. COVID-19 vaccine hesitancy among unvaccinated individuals in a primary care setting, Pretoria.South African family practice : official journal of the South African Academy of Family Practice/Primary Care · 2024
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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

18 authors at 3 institutions in 1 country.

Patrick D M C KatotoCochrane South Africa, South African Medical Research Council, Cape Town 7501, South Africa.ORCID 0000-0002-0553-201X
Saahier ParkerHuman Sciences Research Council, Cape Town 8000, South Africa.
Nancy CoulsonThe Sarraounia Public Health Trust, Johannesburg 2193, South Africa.
Nirvana PillayThe Sarraounia Public Health Trust, Johannesburg 2193, South Africa.ORCID 0000-0003-1922-5368
Sara CooperCochrane South Africa, South African Medical Research Council, Cape Town 7501, South Africa.ORCID 0000-0001-9894-236X
Anelisa JacaCochrane South Africa, South African Medical Research Council, Cape Town 7501, South Africa.
Edison MavundzaCochrane South Africa, South African Medical Research Council, Cape Town 7501, South Africa.ORCID 0000-0002-0890-0164
Gregory HoustonHuman Sciences Research Council, Cape Town 8000, South Africa.
Candice GroenewaldHuman Sciences Research Council, Cape Town 8000, South Africa.ORCID 0000-0003-2731-1370
Zaynab EssackHuman Sciences Research Council, Cape Town 8000, South Africa.
Jane SimmondsSouth African Medical Research Council, Cape Town 7501, South Africa.
Londiwe Deborah ShanduHuman Sciences Research Council, Cape Town 8000, South Africa.
Marilyn CouchHuman Sciences Research Council, Cape Town 8000, South Africa.
Nonkululeko KhuzwayoHuman Sciences Research Council, Cape Town 8000, South Africa.
Nobukhosi NcubeThe Sarraounia Public Health Trust, Johannesburg 2193, South Africa.ORCID 0000-0002-3611-3280
Phelele BhenguCochrane South Africa, South African Medical Research Council, Cape Town 7501, South Africa.ORCID 0000-0001-7915-0068
Heidi van RooyenHuman Sciences Research Council, Cape Town 8000, South Africa.
Charles Shey WiysongeCochrane South Africa, South African Medical Research Council, Cape Town 7501, South Africa.ORCID 0000-0002-1273-4779
Human Sciences Research Council · ZASouth African Medical Research Council · ZAUniversity of the Witwatersrand · ZA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

South Africa launched a mass COVID-19 vaccination campaign in May 2021, targeting 40 million adults. Understanding predictors of COVID-19 vaccine intentions was required to achieve this goal. We conducted a population-based survey in June-July 2021 using the WHO Behavioral and Social Drivers (BeSD) of COVID-19 Vaccination tool to determine predictors of vaccine hesitancy, defined as intention to refuse or uncertainty whether to accept COVID-19 vaccination. There were 1193 participants, mean age 39 (standard deviation 15) years, and 53% women, of whom 58% trusted information provided by healthcare workers and 32% were vaccine hesitant. Independent predictors of vaccine hesitancy included concerns about side effects (odds ratio (OR) 11.41; 95% confidence interval (CI) 3.5-50.80), lack of access to the online vaccine registration platform (OR 4.75; CI 2.15-10.37), distrust of government (OR 3.0; CI 1.33-6.77), belief in conspiracy theories (OR 3.01; CI 1.32-6.77), having no monthly income (OR 1.84; CI 1.12-3.07), and depending on someone else to make vaccination decision (OR 2.47; CI 1.06-5.77). We identified modifiable predictors of vaccine hesitancy at the start of South Africa's COVID-19 vaccination rollout. These factors should be addressed by different stakeholders involved in the national immunization program through tailored communication and other effective strategies that increase vaccine literacy, reach low-income households, and engender confidence in government.

Indexed as

behaviorsimmunizationSARS-CoV-2social driversvaccine acceptance

Identifiers

PMID35334991
PMCPMC8951818
OpenAlexW4214575859

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.