Evidence map›Paper›PMID 35964026›Full record

Observational studyBMC public health2022

Parental decision and intent towards COVID-19 vaccination in children with asthma: an econometric analysis.

Olivier Drouin, Pierre Fontaine, Yann Arnaud, Claude Montmarquette, Alexandre Prud'homme, Roxane Borgès Da Silva

Abstract readObservational Study
In one paragraph

Observational study in BMC public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing 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

15 citing papers in PubMed.

  1. Article
  2. Article
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  5. Article
  6. Review
  7. Article
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  9. Review
  10. I have decided about my COVID-19 vaccine, what about my child?Human vaccines & immunotherapeutics · 2022
    Article
  11. Paediatrics & child health · 2022
    Article
  12. Article
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  14. Article
  15. 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.

Olivier DrouinDivision of General Pediatrics, Department of Pediatrics, CHU Sainte-Justine, 3175 chemin de la Côte-Sainte-Catherine, Montréal, QC, H3T 1C5, Canada.
Pierre FontaineFaculty of Medicine, University of Montreal, 2900 boulevard Edouard-Montpetit (Pavillon Roger-Gaudry), Montréal, QC, H3T 1J4, Canada.
Yann ArnaudCIRANO (Centre Interuniversitaire de Recherche en Analyse Des Organisations), 1130 rue Sherbrooke Ouest #1400, Montréal, QC, H3A 2M8, Canada.
Claude MontmarquetteCIRANO (Centre Interuniversitaire de Recherche en Analyse Des Organisations), 1130 rue Sherbrooke Ouest #1400, Montréal, QC, H3A 2M8, Canada.
Alexandre Prud'hommeCIRANO (Centre Interuniversitaire de Recherche en Analyse Des Organisations), 1130 rue Sherbrooke Ouest #1400, Montréal, QC, H3A 2M8, Canada.
Roxane Borgès Da SilvaCIRANO (Centre Interuniversitaire de Recherche en Analyse Des Organisations), 1130 rue Sherbrooke Ouest #1400, Montréal, QC, H3A 2M8, Canada. roxane.borges.da.silva@umontreal.ca.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveVaccination will be instrumental in controlling the COVID-19 pandemic, and vaccination of children will be necessary to achieve herd immunity. Given that children with chronic health conditions may be at increased risk of COVID-19, it is crucial to understand factors influencing parental decisions about whether to have their child vaccinated. The study objectives were to measure parental intent to have their child with asthma vaccinated against COVID-19 and identify the determinants of their vaccination decision. STUDY

designThis study is based on a cross-sectional exploratory observational online survey assessing parents' risk perception in the context of COVID-19.

methodsIn this study conducted in August 2020, the primary outcome was parent's answer to the question on their intention to get their child vaccinated if a vaccine against COVID-19 was available. Participants were also asked about their intention to get vaccinated themselves. Independent variables studied included sociodemographic, clinical data (e.g. presence of other chronic diseases), psychological, cognitive and risk perception related to COVID-19. Simultaneous equations models (3SLS) and seemingly unrelated regressions model (SUR) were carried out to identify factors associated with intention to have the child vaccinated and participants' intention to get vaccinated themselves against COVID-19.

resultsA total of 305 participants completed the survey. Overall, 19.1% of participants reported being unlikely or very unlikely to vaccinate their child against COVID-19 if a vaccine was available. Similarly, 21.0% were unlikely or very unlikely to get vaccinated themselves. The following factors were significantly associated with parents' decision to have their child vaccinated: parental level of education (p = 0.003), employment status (p < 0.001), sex of the child (p = 0.019), presence of other chronic diseases (p = 0.028), whether or not the child had been vaccinated against influenza in the past (p < 0.001), parental anxiety (p = 0.046), and consultation with a health professional since the beginning of the pandemic (p = 0.009). There was a strong relationship between likelihood of not intending to have one's child vaccinated and personal intent not to get vaccinated.

conclusionThese findings are essential in planning for the communication and dissemination of COVID-19 vaccination information to parents, especially for children with asthma or other chronic medical conditions.

Indexed as

AsthmaCOVID-19ChildChronic DiseaseCOVID-19 VaccinesCross-Sectional StudiesHealth Knowledge, Attitudes, PracticeHumansIntentionPandemicsParentsVaccinationCOVID-19 VaccinesAsthmatic childrenCOVID-19Econometric modelingParental decisionsVaccine

Identifiers

PMID35964026
PMCPMC9375633

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.