Factors associated with timely COVID-19 vaccination in a population-based cohort of patients with cancer

Author:

Powis Melanie12ORCID,Sutradhar Rinku34,Patrikar Aditi3,Cheung Matthew356,Gong Inna6,Vijenthira Abi26,Hicks Lisa K67,Wilton Drew3,Krzyzanowska Monika K1236,Singh Simron356

Affiliation:

1. Cancer Quality Lab (CQuaL), Princess Margaret Cancer Centre—University Health Network , Toronto, ON, Canada

2. Division of Medical Oncology and Hematology, Princess Margaret Cancer Centre—University Health Network , Toronto, ON, Canada

3. Institute for Clinical Evaluative Sciences , Toronto, ON, Canada

4. Dalla Lana School of Public Health, University of Toronto , Toronto, ON, Canada

5. Odette Cancer Centre, Sunnybrook Health Sciences Centre , Toronto, ON, Canada

6. Division of Medical Oncology and Hematology, Department of Medicine, University of Toronto , Toronto, ON, Canada

7. Division of Hematology/Oncology, St. Michael’s Hospital—Unity Health , Toronto, ON, Canada

Abstract

Abstract Background In many jurisdictions, cancer patients were prioritized for COVID-19 vaccination because of increased risk of infection and death. To understand sociodemographic disparities that affected timely receipt of COVID-19 vaccination among cancer patients, we undertook a population-based study in Ontario, Canada. Methods Patients older than 18 years and diagnosed with cancer January 2010 to September 2020 were identified using administrative data; vaccination administration was captured between approval (December 2020) up to February 2022. Factors associated with time to vaccination were evaluated using multivariable Cox proportional hazards regression. Results The cohort consisted of 356 535 patients, the majority of whom had solid tumor cancers (85.9%) and were not on active treatment (74.1%); 86.8% had received at least 2 doses. The rate of vaccination was 25% lower in recent (hazard ratio [HR] = 0.74, 95% confidence interval [CI] = 0.72 to 0.76) and nonrecent immigrants (HR = 0.80, 95% CI = 0.79 to 0.81). A greater proportion of unvaccinated patients were from neighborhoods with a high concentration of new immigrants or self-reported members of racialized groups (26.0% vs 21.3%, standardized difference = 0.111, P < .001), residential instability (27.1% vs 23.0%, standardized difference = 0.094, P < .001), or material deprivation (22.1% vs 16.8%, standardized difference = 0.134, P < .001) and low socioeconomic status (20.9% vs 16.0%, standardized difference = 0.041, P < .001). The rate of vaccination was 20% lower in patients from neighborhoods with the lowest socioeconomic status (HR = 0.82, 95% CI = 0.81 to 0.84) and highest material deprivation (HR = 0.80, 95% CI = 0.78 to 0.81) relative to those in more advantaged neighborhoods. Conclusions Despite funding of vaccines and prioritization of high-risk populations, marginalized patients were less likely to be vaccinated. Differences are likely due to the interplay between systemic barriers to access and cultural or social influences affecting uptake.

Funder

Ontario Ministry of Health and Long-Term Care

Ontario Health Data Platform

Canadian Institute for Health Research

Publisher

Oxford University Press (OUP)

Subject

Cancer Research,Oncology

Reference45 articles.

Cited by 3 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3