Evidence map›Paper›PMID 37151914›Full record

ArticleSSM - population health2023

Analysis of COVID-19 vaccine uptake among people with underlying chronic conditions in 2022: A cross-sectional study.

Aiswarya Bulusu, Cesar Segarra, Lujain Khayat

Abstract read
In one paragraph

Article in SSM - population health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

14 citing papers in PubMed.

  1. Observational
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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

3 authors.

Aiswarya BulusuMetro Health 1012, 14th Street NW, Washington DC, 20005, USA.
Cesar SegarraMetro Health 1012, 14th Street NW, Washington DC, 20005, USA.
Lujain KhayatMetro Health 1012, 14th Street NW, Washington DC, 20005, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: COVID-19 has been a global burden and vaccinations have proven to be the most effective measure to fight this pandemic. Since the approval and distribution of the vaccines, approximately 75% of District of Columbia residents have been fully vaccinated leaving a quarter of the population at risk. With the availability and approval of the booster doses to people with high-risk chronic conditions, it is important to understand the attitude of people towards vaccinations. Objective: The objective of this research study is to analyze the COVID-19 vaccination uptake among people with underlying chronic conditions residing in District of Columbia residents and to determine the reason for the hesitancy to perform targeted outreach to unvaccinated populations. Study design/methods: In 2022, we conducted a cross sectional study via a short online survey that was distributed to the target populations via email and social media. Multivariable Regression Analyses were conducted to determine the factors associated with the acceptance of the vaccination across various demographics. Results: The findings of the study demonstrate that the acceptance of COVID-19 vaccination was low among people with chronic conditions compared to those with no underlying chronic conditions, and vaccination rates strongly differ based on social determinants like education, employment, and area of residence across District of Columbia. Conclusion: The public health significance of this study is to understand the reason behind the vaccine hesitancy so that we can work towards building trust, extending outreach, creating targeted health education, and increasing access to vaccination to all communities across District of Columbia.

Indexed as

Chronic diseaseCommunity healthCOVID-19Health educationVaccine hesitancy

Identifiers

PMID37151914
PMCPMC10151248

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.