Evidence map›Paper›PMID 37631858›Full record

ArticleVaccines2023

Determinants of COVID-19 Vaccine Acceptability among Healthcare Workers in Kenya-A Mixed Methods Analysis.

Victor Mudhune, Ken Ondeng'e, Fanuel Otieno, Derick B Otieno, Collins M Bulinda, Ikechukwu Okpe, Sarah Nabia, Naor Bar-Zeev, Omondi Otieno, Chizoba Wonodi

Abstract read
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In one paragraph

Article in Vaccines, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Review
  5. Article
  6. Article
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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

10 authors.

Victor MudhuneKenya Medical Research Institute, Centre for Global Health Research, Kisumu P.O. Box 1578-40100, Kenya.ORCID 0000-0003-4841-4555
Ken Ondeng'eKenya Medical Research Institute, Centre for Global Health Research, Kisumu P.O. Box 1578-40100, Kenya.
Fanuel OtienoCapacities for Health and Social Policy, Nairobi P.O. Box 32175-00800, Kenya.
Derick B OtienoCapacities for Health and Social Policy, Nairobi P.O. Box 32175-00800, Kenya.
Collins M BulindaCapacities for Health and Social Policy, Nairobi P.O. Box 32175-00800, Kenya.
Ikechukwu OkpeDirect Consulting and Logistics, Abuja 904101, Nigeria.ORCID 0009-0004-3944-049X
Sarah NabiaInternational Vaccine Access Center, Johns Hopkins University, Baltimore, MD 21231, USA.ORCID 0009-0005-4942-2508
Naor Bar-ZeevInternational Vaccine Access Center, Johns Hopkins University, Baltimore, MD 21231, USA.
Omondi OtienoCapacities for Health and Social Policy, Nairobi P.O. Box 32175-00800, Kenya.ORCID 0000-0001-8048-8955
Chizoba WonodiInternational Vaccine Access Center, Johns Hopkins University, Baltimore, MD 21231, USA.

Funding

Johnson & Johnson 9100000000-138510
6 · The paper itself

Abstract

Healthcare workers (HCWs) were a priority group for COVID-19 vaccination. Adopting the World Health Organization's 3C and the expanded 5C vaccine hesitancy models, we assessed the factors associated with COVID-19 vaccine acceptability among HCWs in Kenya. In a mixed methods study, respondents were from eight selected counties across the country. An online survey (n = 746), key informant interviews (n = 18) and focus group discussions (n = 3) were conducted. The data were analyzed concurrently. Quantitative data showed that all the 3C antecedents were strong predictors of vaccine acceptability. The association of vaccine acceptability was strongest with convenience (aOR 20.13, 95% CI 9.01-44.96), then complacency (aOR 10.15, 95% CI 4.63-22.21) and confidence (aOR 6.37, 95% CI 2.90-14.02). Marital status was a significant independent factor associated with vaccine acceptability (aOR 2.70, 95% CI 1.20-6.08). Qualitatively, convenience presented as the no-cost availability of vaccines at the health facilities, whereas non-complacency manifested from the first-hand observed experience of COVID cases, and the need to protect oneself and family members. Confidence was mainly attributed to increased knowledge, resulting from multiple training sessions and trust in regulatory authorities. Other social factors including workplace pressure, religion and misinformation had a role in influencing HCW vaccination decisions. In the background of a pandemic, the 3C model is a strong predictor of vaccine acceptability, and making the vaccines easily available and convenient to HCWs significantly impacts their uptake.

Indexed as

3C modelCOVID-19healthcare workersKenyavaccinationvaccine acceptance

Identifiers

PMID37631858
PMCPMC10459762

What OpenQuestion holds

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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.