Evidence map›Paper›PMID 36941757›Full record

ArticleJournal of primary care & community health

Characterization of COVID-19 Vaccine Hesitancy Among Essential Workforce Members of a Large Safety Net Urban Medical Center.

Deborah Kupferwasser, Evelyn A Flores, Prudencio Merino, Donna Phan Tran, Michael Bolaris, Mildred Gonzales, Megan H Nguyen, Arlene Balo, Angel Abueg, Wellington Da Silva and 8 more

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Journal of primary care & community health. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.7field-weighted citation impact, top 18% 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

4 citing papers in PubMed, 6 citations in OpenAlex.

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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

18 authors at 6 institutions in 1 country.

Deborah KupferwasserHarbor-UCLA Medical Center, Torrance, CA, USA.ORCID 0000-0003-1444-7340
Evelyn A FloresHarbor-UCLA Medical Center, Torrance, CA, USA.
Prudencio MerinoHarbor-UCLA Medical Center, Torrance, CA, USA.
Donna Phan TranHarbor-UCLA Medical Center, Torrance, CA, USA.
Michael BolarisHarbor-UCLA Medical Center, Torrance, CA, USA.
Mildred GonzalesLos Angeles County College of Nursing and Allied Health, Los Angeles, CA, USA.
Megan H NguyenUniversity of California Irvine, Irvine, CA, USA.
Arlene BaloHarbor-UCLA Medical Center, Torrance, CA, USA.
Angel AbuegHarbor-UCLA Medical Center, Torrance, CA, USA.
Wellington Da SilvaLos Angeles County + USC Medical Center, Los Angeles, CA, USA.
Leslie Astorga-CookLos Angeles County + USC Medical Center, Los Angeles, CA, USA.
Honghu LiuUniversity of California, Los Angeles, Los Angeles CA, USA.
Holli MasonHarbor-UCLA Medical Center, Torrance, CA, USA.
Deborah FreundClaremont Graduate University, Claremont, CA, USA.
Judi NightingaleRiverside University Health System, Moreno Valley, CA, USA.
Jay OrrClaremont Graduate University, Claremont, CA, USA.
Bin XieClaremont Graduate University, Claremont, CA, USA.
Loren G MillerHarbor-UCLA Medical Center, Torrance, CA, USA.
UCLA Medical Center · USClaremont Graduate University · USLAC+USC Medical Center · USUniversity of California, Los Angeles · USRiverside University Health System - Medical Center · USUniversity of California, Irvine · US

Funding

Training CoreTL1DK132768 · NIDDK · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI Elizabeta Nemeth · 2021 to 2026
$3.4M
NIDDK NIH HHS TL1 DK132768
6 · The paper itself

Abstract

objectivesVaccine hesitancy among essential workers remains a significant public health challenge. We examined psychological constructs of perceived susceptibility, threat, and self-efficacy and their associations with COVID-19 vaccine hesitancy among a racially and ethnically diverse essential workforce population.

methodsWe performed a cross-sectional survey of essential workers from September-December 2020 at a large Los Angeles safety-net medical center as part of a program offering free COVID-19 serology testing. Program participants completed a standardized survey at the time of phlebotomy. Hierarchical logistic regression was utilized to determine factors independently associated with vaccine hesitancy.

resultsAmong 1327 persons who had serology testing, 1235 (93%) completed the survey. Of these, 958 (78%) were healthcare workers. Based on expressed intent, 22% were vaccine-hesitant 78% were vaccine acceptors. In our multivariate model, vaccine hesitancy was associated with female gender [aOR = 2.09; 95% CI (1.44-3.05)], African American race [aOR = 4.32; (2.16-8.62)], LatinX ethnicity [aOR = 2.47; 95% CI (1.51-4.05)] and history of not/sometimes receiving influenza vaccination [aOR = 4.39; 95% CI (2.98-6.48)]. Compared to nurses, vaccine hesitancy was lower among physicians [aOR = 0.09; 95% CI (0.04-0.23)], non-nursing/non-physician healthcare workers [aOR = 0.55; 95% CI (0.33-0.92)], and non-healthcare care workers [aOR = 0.53; 95% CI (0.36-0.78)].

conclusionsAmong a racially/ethnically diverse group of safety net medical center essential workers, COVID-19 vaccine hesitancy was associated with racial/ethnic minority groups, employment type, and prior influenza vaccination hesitancy. Interestingly, we found no association with the Health Belief Model construct measures of perceived susceptibility, threat, and self-efficacy. Psychological constructs not assessed may be drivers of vaccine hesitancy in our population.

Indexed as

COVID-19Influenza, HumanCOVID-19 VaccinesCross-Sectional StudiesEthnicityFemaleHumansMinority GroupsVaccinationCOVID-19 Vaccinesbehavioral healthcommunity healthCOVID-19preventionvaccine hesitancy

Identifiers

PMID36941757
PMCPMC10028456
OpenAlexW4328048433

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.