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Record W4403920315 · doi:10.1371/journal.pone.0312799

Understanding the barriers and enablers to participation in vaccine trials in a pregnant population from diverse ethnic background in an inner-city UK hospital

2024· article· en· W4403920315 on OpenAlexfundno aff
Essra Youssef, Anna Calvert, Vanessa Greening, Emma Eccleston, Lolade Oshodi, Paul T. Heath, Tushna Vandrevala

Bibliographic record

VenuePLoS ONE · 2024
Typearticle
Languageen
FieldMedicine
TopicEthics in Clinical Research
Canadian institutionsnot available
FundersInstitute of Infection and ImmunitySt. George's, University of London
KeywordsEthnic groupMedicineHealth careVaccinationPopulationPublic healthPregnancyHealth equityQualitative researchFamily medicineNursingEnvironmental healthPolitical scienceImmunology

Abstract

fetched live from OpenAlex

BACKGROUND: Vaccination during pregnancy is an important healthcare intervention for safeguarding the health of the mother and their infants. Ethnic disparities in recruitment to vaccine research studies during pregnancy potentially contribute to health inequalities. The aim of the current study was to explore the barriers and enablers influencing the willingness of pregnant women from ethnic minority backgrounds to participate in vaccine research studies. METHODS AND FINDINGS: Semi-structured qualitative online interviews were conducted with 23 pregnant women from diverse ethnic backgrounds in the UK. Interviews were transcribed verbatim, and thematically analysed. Our findings suggest that participants perceived vaccines and vaccine research, in principle, to be beneficial to the individual and to society, and understood the value of vaccination in mitigating severity of disease and protecting the health of mothers and their infants. Apprehension over the safety of vaccination in pregnancy was common and reduced willingness to participate. For those that decided to participate in vaccine trials in pregnancy, this was seen as an act of solidarity, a way to contribute to a collective responsibility for the public health of the community. Personal and community connections and representation-seeing people from their own communities represented in in the recruitment process shapped decisions about vaccine trial participating. Trust and mistrust in health systems, shaped by past experiences of interacting with healthcare professionals were likely to inform whether they would consider participating. Practical considerations such as excessive time commitments related to study procedures, travel and organising childcare were barrier to participation. The level of invasiveness of trial procedures were also a concern, although increased monitoring during the trial was seen as a potential benefit, mitigating some safety concerns. CONCLUSIONS: Our study reinforcing previously identified barriers to vaccine participation among pregnant women from diverse ethnic communities. This study underlines the need to develop tailored interventions that focus on fostering trust with the aid of community engagement to understand cultural contexts, establishing authentic representation, and address practical considerations, to contribute to enhancing vaccine trial participation in pregnancy in those from diverse ethnic communities.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.013
metaresearch head score (Gemma)0.027
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.026
Threshold uncertainty score0.070

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0130.027
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0030.003
Scholarly communication0.0040.001
Open science0.0010.003
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0030.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.787
GPT teacher head0.547
Teacher spread0.240 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations3
Published2024
Admission routes1
Has abstractyes

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