Evidence map›Paper›PMID 36016135›Full record

ArticleVaccines2022

Decisions to Choose COVID-19 Vaccination by Health Care Workers in a Southern California Safety Net Medical Center Vary by Sociodemographic Factors.

Lauren Garcia, Anthony Firek, Deborah Freund, Donatella Massai, Dhruv Khurana, Jerusha E Lee, Susanna Zamarripa, Bijan Sasaninia, Kelsey Michaels, Judi Nightingale and 2 more

Open access · goldAbstract read
In one paragraph

Article in Vaccines, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
1.9field-weighted citation impact, top 14% 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

2 citing papers in PubMed, 12 citations in OpenAlex.

  1. Article
  2. 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

12 authors at 3 institutions in 1 country.

Lauren GarciaSchool of Community and Global Health, Claremont Graduate University, 150 E 10th St, Claremont, CA 91711, USA.ORCID 0000-0002-3783-3132
Anthony FirekComparative Effectiveness and Clinical Outcomes Research Center, Riverside University Health System, 26520 Cactus Avenue, Moreno Valley, CA 92555, USA.ORCID 0000-0001-6649-2798
Deborah FreundSchool of Community and Global Health, Claremont Graduate University, 150 E 10th St, Claremont, CA 91711, USA.
Donatella MassaiSchool of Community and Global Health, Claremont Graduate University, 150 E 10th St, Claremont, CA 91711, USA.
Dhruv KhuranaComparative Effectiveness and Clinical Outcomes Research Center, Riverside University Health System, 26520 Cactus Avenue, Moreno Valley, CA 92555, USA.ORCID 0000-0002-3108-9517
Jerusha E LeeDepartment of Economic Sciences, Claremont Graduate University, 150 E 10th St, Claremont, CA 91711, USA.ORCID 0000-0002-2507-3017
Susanna ZamarripaComparative Effectiveness and Clinical Outcomes Research Center, Riverside University Health System, 26520 Cactus Avenue, Moreno Valley, CA 92555, USA.
Bijan SasaniniaComparative Effectiveness and Clinical Outcomes Research Center, Riverside University Health System, 26520 Cactus Avenue, Moreno Valley, CA 92555, USA.
Kelsey MichaelsComparative Effectiveness and Clinical Outcomes Research Center, Riverside University Health System, 26520 Cactus Avenue, Moreno Valley, CA 92555, USA.
Judi NightingaleComparative Effectiveness and Clinical Outcomes Research Center, Riverside University Health System, 26520 Cactus Avenue, Moreno Valley, CA 92555, USA.
Nicole M GattoComparative Effectiveness and Clinical Outcomes Research Center, Riverside University Health System, 26520 Cactus Avenue, Moreno Valley, CA 92555, USA.
Riverside University Health System (RUHS) Comparative Effectiveness and Clinical Outcomes Research Center (CECORC)-Claremont Graduate University (CGU) COVID-19 Research Group
Riverside University Health System - Medical Center · USClaremont Graduate University · USUniversity of Southern California · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundLimited information exists regarding COVID-19 vaccine hesitancy among healthcare workers (HCWs). Our previous survey analyzed the reasons for HCWs' decisions to accept vaccination, suggesting that a "one-size fits all" approach may not suffice to increase vaccine uptake.

methodsBased on the vaccination acceptance group (acceptor, hesitant, refuser), we examined differences by sociodemographic factors (race/ethnicity, household income, education) from Likert Scale responses to fourteen influences affecting a decision to be vaccinated using the Kruskal-Wallis test and multinomial logistic regression with mutual adjustment for these sociodemographic factors, age, and sex.

resultsNon-Hispanic White vaccine acceptors ranked lower confidence in preventing, withstanding, or treating COVID-19, while Non-Hispanic Blacks more highly regarded the motivation of a religious leader, colleague, or family member. Social media was ranked more influential among Non-Hispanic Asians. Acceptors with lower incomes ranked a job requirement influential; conversely, higher income vaccine hesitant HCWs highly rated this reason. More highly educated acceptors ranked being motivated by colleagues, family, and other HCWs higher. Adjustment weakened some but not all the differences between groups.

conclusionsSociodemographic factors affect HCWs' decisions to be vaccinated against COVID-19. Our findings may help develop more focused and tailored strategies to improve vaccination acceptance.

Indexed as

COVID-19decisionseducationhealthcare workersincomerace/ethnicitySARS-CoV-2sociodemographic factorsvaccine acceptancevaccine hesitancy

Identifiers

PMID36016135
PMCPMC9412623
OpenAlexW4289731481

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.