ArticleJournal of primary care & community health
Characterization of the COVID-19 Vaccine Uptake in Patients With Chronic Diseases in a Large University-based Family Medicine Clinical Practice.
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 2 papers.
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.
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.
Who cites it
2 citing papers in PubMed, 4 citations in OpenAlex.
- COVID-19 Vaccination Coverage and Associated Factors in Patients with Multiple Sclerosis.Vaccines · 2024Article
- The Influence of Sociocultural Determinants on the Number of Diagnosed Chronic Illness Reported by Indigenous Peoples in Canada and the United States During SARS-CoV2.Journal of primary care & community healthArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
purposeTo characterize COVID-19 vaccine uptake in patients with chronic conditions at the large university-based Family Medicine practice serving a population with low COVID-19 vaccine acceptance.
methodsA rolling panel of patients attributed to the practice was submitted monthly to the Chesapeake Regional Health Information Exchange (CRISP) to monitor patients' vaccination status. Chronic conditions were identified using the CMS Chronic Disease Warehouse. An outreach strategy deploying Care Managers was developed and implemented. Associations between vaccination status and patients' characteristics were examined using a multivariable Cox's proportional hazard regression modeling.
resultsAmong 8469 empaneled adult (18+) patients, 6404 (75.6%) received at least 1 dose of COVID-19 vaccine in December 2020 to March 2022. Patients were relatively young (83.4% <65 years old), predominantly female (72.3%), and non-Hispanic Black (83.0%). Among chronic conditions, hypertension had the highest prevalence (35.7%), followed by diabetes (17.0%). Associations between vaccine status and the presence of chronic conditions varied by age and race. Older patients (45+ years old) with diabetes and/or hypertension showed a statistically significant delay in receiving COVID-19 vaccine, while young Black adults (18-44 years old) with diabetes complicated by hypertension were more likely to be vaccinated compared to patients of the same age and race with no chronic conditions (Hazard ratio 1.45; 95% CI 1.19,1.77;
conclusionsThe practice-specific COVID-19 vaccine CRISP dashboard helped to identify and address delays in receiving COVID-19 vaccine in the most vulnerable, underserved populations. Reasons for age and race-specific delays in patients with diabetes and hypertension should be explored further.
Indexed as
Identifiers
What Socratic holds
Registered trials
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 Socratic graph.