Evidence map›Paper›PMID 40351203›Full record

ArticleJournal of health care for the poor and underserved2025

Exploring the Role of Vaccine Confidence in COVID-19 Vaccination Among a Community-Based Sample of Women Who Use Drugs in Baltimore, Maryland.

Laura Nicole Sisson, Catherine Tomko, Zhenglin Yuan, Katherine Haney, Emily Clouse, Katherine C Smith, Susan G Sherman

Abstract read
In one paragraph

Article in Journal of health care for the poor and underserved, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

7 authors.

Laura Nicole Sisson
Catherine Tomko
Zhenglin Yuan
Katherine Haney
Emily Clouse
Katherine C Smith
Susan G Sherman

Funding

NIDA Epidemiology Training Program: Johns Hopkins UniversityT32DA007292 · NIDA · JOHNS HOPKINS UNIVERSITY · PI RENEE M. JOHNSON, Brion S Maher · 1993 to 2026
$17.7M
Exploring barriers and facilitators to women who use drugs (WWUD) awareness, acceptance and uptake of COVID-19 testing, the CARE study.R01DA041243 · NIDA · JOHNS HOPKINS UNIVERSITY · PI SHERMAN, SUSAN G. · 2016 to 2023
$5.3M
Integrating data for causal inference in behavioral healthT32MH122357 · NIMH · JOHNS HOPKINS UNIVERSITY · PI Rashelle Jean Musci, Elizabeth A. Stuart · 2020 to 2026
$1.8M
NIDA NIH HHS R01 DA041243NIDA NIH HHS T32 DA007292NIMH NIH HHS T32 MH122357
6 · The paper itself

Abstract

Prevalence of COVID-19 vaccination among women who use drugs is largely unknown. Using a community-based sample, we explored correlates of COVID-19 vaccination stratified by level of vaccine confidence, measured by the widely used Vaccine Hesitancy Scale. Level of vaccine confidence was found to be significantly associated with uptake of the COVID-19 vaccine as well as recent flu vaccination. Poisson regression with robust variance was used to identify correlates of vaccination within both groups. Among higher-confidence women, vaccine uptake was associated with education and experiencing pandemic-related health care barriers and food insecurity, and likelihood of vaccination was lower among those who did not believe the vaccine was FDA-approved than among those who did. Among lower-confidence women, likelihood of vaccination was greater among Black women, those in shared housing, and drug treatment, but lower among those recruited from high-vaccination neighborhoods and who believed newer vaccines carry greater risk.

Indexed as

COVID-19COVID-19 VaccinesDrug UsersVaccination HesitancyAdultBaltimoreFemaleHumansMiddle AgedYoung AdultCOVID-19 Vaccines

Identifiers

PMID40351203
PMCPMC13007732

What OpenQuestion holds

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Registered trials

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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.