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Health Literacy and COVID-19 Vaccination among Cancer Patients in Northeastern Thailand: A Cross-Sectional Study

OBJECTIVE: This study aimed to explore factors associated with COVID-19 vaccine uptake among patients with cancer in northeastern Thailand. METHODS: A cross-sectional study was conducted in northeastern Thailand between December 29th, 2022 and January 31st, 2023. A community-based, multistage sampli...

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Autores principales: Dapha, Phichet, Phimha, Surachai, Prasit, Nakarin, Senahad, Nopparat
Formato: Online Artículo Texto
Lenguaje:English
Publicado: West Asia Organization for Cancer Prevention 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10676488/
https://www.ncbi.nlm.nih.gov/pubmed/37505769
http://dx.doi.org/10.31557/APJCP.2023.24.7.2375
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author Dapha, Phichet
Phimha, Surachai
Prasit, Nakarin
Senahad, Nopparat
author_facet Dapha, Phichet
Phimha, Surachai
Prasit, Nakarin
Senahad, Nopparat
author_sort Dapha, Phichet
collection PubMed
description OBJECTIVE: This study aimed to explore factors associated with COVID-19 vaccine uptake among patients with cancer in northeastern Thailand. METHODS: A cross-sectional study was conducted in northeastern Thailand between December 29th, 2022 and January 31st, 2023. A community-based, multistage sampling method was used to select patients with any medically diagnosed cancer. An interview form was developed to assess patient sociodemographic factors, health literacy, and COVID-19 vaccination status. Multivariable logistic regression analysis was used to identify the factors associated with COVID-19 vaccination status. RESULTS: Of the 449 participants, 368 (81.96%) had received at least two doses of a COVID-19 vaccine. The multivariable analysis revealed that factors associated with COVID-19 vaccination among cancer patients included: 1) health literacy (excellent: adjusted odd ratio (OR(Adj)) = 7.23; 95% confidence interval (CI): 2.11–24.71, p = 0.002); sufficient: OR(Adj) = 6.03; 95% CI: 2.00–18.24, p = 0.001); problematic: OR(Adj) = 3.88; 95% CI:1.37–11.00, p = 0.011); 2) marital status (OR(Adj) = 2.90; 95% CI: 1.37–6.14, p = 0.005); 3) cancer treatment at a general hospital (OR(Adj) = 2.50; 95% CI: 1.25–5.00, p = 0.010); and 4) history of laboratory-confirmed COVID-19 infection (OR(Adj) = 2.37; 95% CI:1.19–4.71, p = 0.014). CONCLUSIONS: The strongest predictor of receiving COVID-19 vaccines was health literacy, which enhances healthcare provider awareness of communicable disease prevention and control for patients with cancer as well as counselling and educating to improve their health literacy. It could influent a higher rate of vaccine uptake among patients with cancer.
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spelling pubmed-106764882023-03-01 Health Literacy and COVID-19 Vaccination among Cancer Patients in Northeastern Thailand: A Cross-Sectional Study Dapha, Phichet Phimha, Surachai Prasit, Nakarin Senahad, Nopparat Asian Pac J Cancer Prev Research Article OBJECTIVE: This study aimed to explore factors associated with COVID-19 vaccine uptake among patients with cancer in northeastern Thailand. METHODS: A cross-sectional study was conducted in northeastern Thailand between December 29th, 2022 and January 31st, 2023. A community-based, multistage sampling method was used to select patients with any medically diagnosed cancer. An interview form was developed to assess patient sociodemographic factors, health literacy, and COVID-19 vaccination status. Multivariable logistic regression analysis was used to identify the factors associated with COVID-19 vaccination status. RESULTS: Of the 449 participants, 368 (81.96%) had received at least two doses of a COVID-19 vaccine. The multivariable analysis revealed that factors associated with COVID-19 vaccination among cancer patients included: 1) health literacy (excellent: adjusted odd ratio (OR(Adj)) = 7.23; 95% confidence interval (CI): 2.11–24.71, p = 0.002); sufficient: OR(Adj) = 6.03; 95% CI: 2.00–18.24, p = 0.001); problematic: OR(Adj) = 3.88; 95% CI:1.37–11.00, p = 0.011); 2) marital status (OR(Adj) = 2.90; 95% CI: 1.37–6.14, p = 0.005); 3) cancer treatment at a general hospital (OR(Adj) = 2.50; 95% CI: 1.25–5.00, p = 0.010); and 4) history of laboratory-confirmed COVID-19 infection (OR(Adj) = 2.37; 95% CI:1.19–4.71, p = 0.014). CONCLUSIONS: The strongest predictor of receiving COVID-19 vaccines was health literacy, which enhances healthcare provider awareness of communicable disease prevention and control for patients with cancer as well as counselling and educating to improve their health literacy. It could influent a higher rate of vaccine uptake among patients with cancer. West Asia Organization for Cancer Prevention 2023 /pmc/articles/PMC10676488/ /pubmed/37505769 http://dx.doi.org/10.31557/APJCP.2023.24.7.2375 Text en https://creativecommons.org/licenses/by-nc/4.0/This work is licensed under a Creative Commons Attribution-Non Commercial 4.0 International License. (https://creativecommons.org/licenses/by-nc/4.0/)
spellingShingle Research Article
Dapha, Phichet
Phimha, Surachai
Prasit, Nakarin
Senahad, Nopparat
Health Literacy and COVID-19 Vaccination among Cancer Patients in Northeastern Thailand: A Cross-Sectional Study
title Health Literacy and COVID-19 Vaccination among Cancer Patients in Northeastern Thailand: A Cross-Sectional Study
title_full Health Literacy and COVID-19 Vaccination among Cancer Patients in Northeastern Thailand: A Cross-Sectional Study
title_fullStr Health Literacy and COVID-19 Vaccination among Cancer Patients in Northeastern Thailand: A Cross-Sectional Study
title_full_unstemmed Health Literacy and COVID-19 Vaccination among Cancer Patients in Northeastern Thailand: A Cross-Sectional Study
title_short Health Literacy and COVID-19 Vaccination among Cancer Patients in Northeastern Thailand: A Cross-Sectional Study
title_sort health literacy and covid-19 vaccination among cancer patients in northeastern thailand: a cross-sectional study
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10676488/
https://www.ncbi.nlm.nih.gov/pubmed/37505769
http://dx.doi.org/10.31557/APJCP.2023.24.7.2375
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