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Predictors of COVID-19 vaccine uptake among people who inject drugs

INTRODUCTION: We studied characteristics of COVID-19 vaccination uptake among people who inject drugs (PWID). METHODS: Participants aged ≥18 years who injected drugs ≤1 month ago were recruited into a community-based cohort from October 2020 to September 2021 in San Diego, California Poisson regress...

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Autores principales: Strathdee, Steffanie A., Abramovitz, Daniela, Vera, Carlos F., Artamonova, Irina, Patterson, Thomas L., Smith, Davey M., Chaillon, Antoine, Bazzi, Angela R.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Authors. Published by Elsevier Ltd. 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9868393/
https://www.ncbi.nlm.nih.gov/pubmed/36697311
http://dx.doi.org/10.1016/j.vaccine.2023.01.042
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author Strathdee, Steffanie A.
Abramovitz, Daniela
Vera, Carlos F.
Artamonova, Irina
Patterson, Thomas L.
Smith, Davey M.
Chaillon, Antoine
Bazzi, Angela R.
author_facet Strathdee, Steffanie A.
Abramovitz, Daniela
Vera, Carlos F.
Artamonova, Irina
Patterson, Thomas L.
Smith, Davey M.
Chaillon, Antoine
Bazzi, Angela R.
author_sort Strathdee, Steffanie A.
collection PubMed
description INTRODUCTION: We studied characteristics of COVID-19 vaccination uptake among people who inject drugs (PWID). METHODS: Participants aged ≥18 years who injected drugs ≤1 month ago were recruited into a community-based cohort from October 2020 to September 2021 in San Diego, California Poisson regression identified correlates of having had ≥1 COVID-19 vaccine dose based on semi-annual follow-up interviews through March 15, 2022. RESULTS: Of 360 participants, 74.7% were male, mean age was 42 years; 63.1% were Hispanic/Mexican/Latinx. More than one-third had ≥1 co-morbidity. HIV and HCV seroprevalence were 4.2% and 50.6% respectively; 41.1% lacked health insurance. Only 37.8% reported having ≥1 COVID-19 vaccine dose. None received ≥3 doses. However, of those vaccinated, 37.5% were previously unwilling/unsure about COVID-19 vaccines. Believing COVID-19 vaccines include tracking devices (adjusted incidence rate ratio [aIRR]: 0.62; 95% CI: 0.42,0.92) and lacking health insurance (aIRR: 0.60; 95% CI: 0.40,0.91) were associated with approximately 40% lower COVID-19 vaccination rates). Ever receiving influenza vaccines (aIRR: 2.16; 95%CI: 1.46, 3.20) and testing HIV-seropositive (aIRR: 2.51; 95% CI: 1.03, 6.10) or SARS-CoV-2 RNA-positive (aIRR: 1.82; 95% CI: 1.05, 3.16) independently predicted higher COVID-19 vaccination rates. Older age, knowing more vaccinated people, and recent incarceration were also independently associated with higher COVID-19 vaccination rates. CONCLUSIONS: One year after COVID-19 vaccines became available to U.S. adults, only one third of PWID had received ≥1 COVID-19 vaccine dose. Multi-faceted approaches that dispel disinformation, integrate public health and social services and increase access to free, community-based COVID-19 vaccines are urgently needed.
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spelling pubmed-98683932023-01-23 Predictors of COVID-19 vaccine uptake among people who inject drugs Strathdee, Steffanie A. Abramovitz, Daniela Vera, Carlos F. Artamonova, Irina Patterson, Thomas L. Smith, Davey M. Chaillon, Antoine Bazzi, Angela R. Vaccine Article INTRODUCTION: We studied characteristics of COVID-19 vaccination uptake among people who inject drugs (PWID). METHODS: Participants aged ≥18 years who injected drugs ≤1 month ago were recruited into a community-based cohort from October 2020 to September 2021 in San Diego, California Poisson regression identified correlates of having had ≥1 COVID-19 vaccine dose based on semi-annual follow-up interviews through March 15, 2022. RESULTS: Of 360 participants, 74.7% were male, mean age was 42 years; 63.1% were Hispanic/Mexican/Latinx. More than one-third had ≥1 co-morbidity. HIV and HCV seroprevalence were 4.2% and 50.6% respectively; 41.1% lacked health insurance. Only 37.8% reported having ≥1 COVID-19 vaccine dose. None received ≥3 doses. However, of those vaccinated, 37.5% were previously unwilling/unsure about COVID-19 vaccines. Believing COVID-19 vaccines include tracking devices (adjusted incidence rate ratio [aIRR]: 0.62; 95% CI: 0.42,0.92) and lacking health insurance (aIRR: 0.60; 95% CI: 0.40,0.91) were associated with approximately 40% lower COVID-19 vaccination rates). Ever receiving influenza vaccines (aIRR: 2.16; 95%CI: 1.46, 3.20) and testing HIV-seropositive (aIRR: 2.51; 95% CI: 1.03, 6.10) or SARS-CoV-2 RNA-positive (aIRR: 1.82; 95% CI: 1.05, 3.16) independently predicted higher COVID-19 vaccination rates. Older age, knowing more vaccinated people, and recent incarceration were also independently associated with higher COVID-19 vaccination rates. CONCLUSIONS: One year after COVID-19 vaccines became available to U.S. adults, only one third of PWID had received ≥1 COVID-19 vaccine dose. Multi-faceted approaches that dispel disinformation, integrate public health and social services and increase access to free, community-based COVID-19 vaccines are urgently needed. The Authors. Published by Elsevier Ltd. 2023-03-17 2023-01-23 /pmc/articles/PMC9868393/ /pubmed/36697311 http://dx.doi.org/10.1016/j.vaccine.2023.01.042 Text en © 2023 The Author(s) Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active.
spellingShingle Article
Strathdee, Steffanie A.
Abramovitz, Daniela
Vera, Carlos F.
Artamonova, Irina
Patterson, Thomas L.
Smith, Davey M.
Chaillon, Antoine
Bazzi, Angela R.
Predictors of COVID-19 vaccine uptake among people who inject drugs
title Predictors of COVID-19 vaccine uptake among people who inject drugs
title_full Predictors of COVID-19 vaccine uptake among people who inject drugs
title_fullStr Predictors of COVID-19 vaccine uptake among people who inject drugs
title_full_unstemmed Predictors of COVID-19 vaccine uptake among people who inject drugs
title_short Predictors of COVID-19 vaccine uptake among people who inject drugs
title_sort predictors of covid-19 vaccine uptake among people who inject drugs
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9868393/
https://www.ncbi.nlm.nih.gov/pubmed/36697311
http://dx.doi.org/10.1016/j.vaccine.2023.01.042
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