Evidence map›Paper›PMID 36573307›Full record

ArticleHuman vaccines & immunotherapeutics2022

Factors impacting COVID-19 vaccine decision making in older adults and people with underlying conditions in Victoria, Australia: A cross-sectional survey.

Ruby Biezen, Jessica Kaufman, Monsurul Hoq, Jo-Anne Manski-Nankervis, Lena Sanci, J Simon Bell, Julie Leask, Holly Seale, Jane Munro, Darren Suryawijaya Ong and 5 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Human vaccines & immunotherapeutics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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

15 authors.

Ruby BiezenDepartment of General Practice, University of Melbourne, Melbourne, Australia.
Jessica KaufmanVaccine Uptake Group, Murdoch Children's Research Institute, Melbourne, Australia.
Monsurul HoqVaccine Uptake Group, Murdoch Children's Research Institute, Melbourne, Australia.
Jo-Anne Manski-NankervisDepartment of General Practice, University of Melbourne, Melbourne, Australia.
Lena SanciDepartment of General Practice, University of Melbourne, Melbourne, Australia.
J Simon BellCentre for Medicine Use and Safety, Faculty of Pharmacy and Pharmaceutical Sciences, Monash University, Melbourne, Australia.
Julie LeaskSusan Wakil School of Nursing and Midwifery, University of Sydney, Sydney, Australia.
Holly SealeSchool of Population Health, University of New South Wales, Australia.
Jane MunroVaccine Uptake Group, Murdoch Children's Research Institute, Melbourne, Australia.
Darren Suryawijaya OngVaccine Uptake Group, Murdoch Children's Research Institute, Melbourne, Australia.
Jane OliverVaccine Uptake Group, Murdoch Children's Research Institute, Melbourne, Australia.
Carol JosVaccine Uptake Group, Murdoch Children's Research Institute, Melbourne, Australia.
Jane TuckermanVaccine Uptake Group, Murdoch Children's Research Institute, Melbourne, Australia.
Kathleen BagotVaccine Uptake Group, Murdoch Children's Research Institute, Melbourne, Australia.
Margie DanchinVaccine Uptake Group, Murdoch Children's Research Institute, Melbourne, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Australia's COVID-19 vaccine rollout included prioritizing older adults and those with underlying conditions. However, little was known around the factors impacting their decision to accept the vaccine. This study aimed to assess vaccine intentions, information needs, and preferences of people prioritized to receive the COVID-19 vaccine at the start of the Australian vaccine rollout. A cross-sectional online survey of people aged ≥70 years or 18-69 with chronic or underlying conditions was conducted between 12 February and 26 March 2021 in Victoria, Australia. The World Health Organization Behavioural and Social Drivers of COVID-19 vaccination framework and items informed the survey design and framing of results. Bivariate logistic regression was used to investigate the association between intention to accept a COVID-19 vaccine and demographic characteristics. In total, 1828 eligible people completed the survey. Intention to vaccinate was highest among those ≥70 years (89.6%, n = 824/920) versus those aged 18-69 years (83.8%, n = 761/908), with 91% (n = 1641/1803) of respondents agreeing that getting a COVID-19 vaccine was important to their health. Reported vaccine safety (aOR 1.4, 95% CI 1.1 to 1.8) and efficacy (aOR 1.9, 95% CI 1.5 to 2.3) were associated with intention to accept a COVID-19 vaccine. Concerns around serious illness, long-term effects, and insufficient vaccine testing were factors for not accepting a COVID-19 vaccine. Preferred communication methods included discussion with healthcare providers, with primary care providers identified as the most trusted information source. This study identified factors influencing the prioritized public's COVID-19 vaccine decision-making, including information preferences. These details can support future vaccination rollouts.

Indexed as

COVID-19COVID-19 VaccinesAgedCross-Sectional StudiesDecision MakingHumansIntentionVaccinationVictoriaCOVID-19 Vaccinescommunicationcoronavirus, vaccine acceptanceImmunizationvaccination

Identifiers

PMID36573307
PMCPMC9891679

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.