Evidence map›Paper›PMID 37697235›Full record

ArticleBMC infectious diseases2023

COVID-19 vaccination in pregnancy: the impact of multimorbidity and smoking status on vaccine hesitancy, a cohort study of 25,111 women in Wales, UK.

Mohamed Mhereeg, Hope Jones, Jonathan Kennedy, Mike Seaborne, Michael Parker, Natasha Kennedy, Ashley Akbari, Luisa Zuccolo, Amaya Azcoaga-Lorenzo, Alisha Davies and 2 more

Open access · goldAbstract read
In one paragraph

Article in BMC infectious diseases, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 2 pooled it
2.1field-weighted citation impact, top 13% 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

6 citing papers in PubMed, 2 syntheses or guidelines pooled it, 8 citations in OpenAlex.

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

12 authors at 6 institutions in 3 countries.

Mohamed MhereegNational Centre for Population Health and Wellbeing Research, Faculty of Medicine, Health and Life Science, Swansea University Medical School, Swansea, Wales, UK. m.r.mhereeg@swansea.ac.uk.
Hope JonesNational Centre for Population Health and Wellbeing Research, Faculty of Medicine, Health and Life Science, Swansea University Medical School, Swansea, Wales, UK.
Jonathan KennedyNational Centre for Population Health and Wellbeing Research, Faculty of Medicine, Health and Life Science, Swansea University Medical School, Swansea, Wales, UK.
Mike SeaborneNational Centre for Population Health and Wellbeing Research, Faculty of Medicine, Health and Life Science, Swansea University Medical School, Swansea, Wales, UK.
Michael ParkerNational Centre for Population Health and Wellbeing Research, Faculty of Medicine, Health and Life Science, Swansea University Medical School, Swansea, Wales, UK.
Natasha KennedyNational Centre for Population Health and Wellbeing Research, Faculty of Medicine, Health and Life Science, Swansea University Medical School, Swansea, Wales, UK.
Ashley AkbariPopulation Data Science, Faculty of Medicine, Health and Life Science, Swansea University Medical School, Swansea, Wales, UK.
Luisa ZuccoloHealth Data Science Centre, Fondazione Human Technopole, Milan, Italy.
Amaya Azcoaga-LorenzoSchool of Medicine, University of St Andrews, Scotland, UK.
Alisha DaviesResearch and Evaluation Division, Public Health Wales, Wales, UK.
Krishnarajah NirantharakumarInstitute of Applied Health Research, Birmingham University, Birmingham, UK.
Sinead BrophyNational Centre for Population Health and Wellbeing Research, Faculty of Medicine, Health and Life Science, Swansea University Medical School, Swansea, Wales, UK.
Swansea University · GBHealth Data Research UK · GBHuman Technopole · ITPublic Health Wales · GBUniversity of Birmingham · GBUniversity of St Andrews · GB

Funding

Medical Research Council MC_PC_20030Medical Research Council MC_PC_20051Medical Research Council MC_PC_20058Medical Research Council MC_PC_20059Medical Research Council MC_UU_00022/2Medical Research Council MR/X02055X/1
6 · The paper itself

Abstract

backgroundMultimorbidity, smoking status, and pregnancy are identified as three risk factors associated with more severe outcomes following a SARS-CoV-2 infection, thus vaccination uptake is crucial for pregnant women living with multimorbidity and a history of smoking. This study aimed to examine the impact of multimorbidity, smoking status, and demographics (age, ethnic group, area of deprivation) on vaccine hesitancy among pregnant women in Wales using electronic health records (EHR) linkage.

methodsThis cohort study utilised routinely collected, individual-level, anonymised population-scale linked data within the Secure Anonymised Information Linkage (SAIL) Databank. Pregnant women were identified from 13th April 2021 to 31st December 2021. Survival analysis was employed to examine and compare the length of time to vaccination uptake in pregnancy by considering multimorbidity, smoking status, as well as depression, diabetes, asthma, and cardiovascular conditions independently. The study also assessed the variation in uptake by multimorbidity, smoking status, and demographics, both jointly and separately for the independent conditions, using hazard ratios (HR) derived from the Cox regression model.

resultsWithin the population cohort, 8,203 (32.7%) received at least one dose of the COVID-19 vaccine during pregnancy, with 8,572 (34.1%) remaining unvaccinated throughout the follow-up period, and 8,336 (33.2%) receiving the vaccine postpartum. Women aged 30 years or older were more likely to have the vaccine in pregnancy. Those who had depression were slightly but significantly more likely to have the vaccine compared to those without depression (HR = 1.08, 95% CI 1.03 to 1.14, p = 0.002). Women living with multimorbidity were 1.12 times more likely to have the vaccine compared to those living without multimorbidity (HR = 1.12, 95% CI 1.04 to 1.19, p = 0.001). Vaccine uptakes were significantly lower among both current smokers and former smokers compared to never smokers (HR = 0.87, 95% CI 0.81 to 0.94, p < 0.001 and HR = 0.92, 95% CI 0.85 to 0.98, p = 0.015 respectively). Uptake was also lower among those living in the most deprived areas compared to those living in the most affluent areas (HR = 0.89, 95% CI 0.83 to 0.96, p = 0.002).

conclusionYounger women, living without multimorbidity, current and former smokers, and those living in the more deprived areas are less likely to have the vaccine, thus, a targeted approach to vaccinations may be required for these groups. Pregnant individuals living with multimorbidity exhibit a slight but statistically significant reduction in vaccine hesitancy towards COVID-19 during pregnancy.

Indexed as

COVID-19COVID-19 VaccinesCohort StudiesFemaleHumansMultimorbidityPregnancySARS-CoV-2SmokingVaccinationVaccination HesitancyWalesCOVID-19 VaccinesCOVID-19 vaccinationMultimorbidityPregnancySAIL DatabankSmoking statusVaccine hesitancyVaccine uptake

Identifiers

PMID37697235
PMCPMC10496238
OpenAlexW4386607965

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.