Cross-Sectional Survey of Factors Contributing to COVID-19 Testing Hesitancy Among US Adults at Risk of Severe Outcomes from COVID-19

被引:0
|
作者
Assaf, Annlouise R. [1 ,2 ]
Sidhu, Gurinder S. [3 ]
Soni, Apurv [4 ]
Cappelleri, Joseph C. [5 ]
Draica, Florin [6 ]
Herbert, Carly [4 ]
Arham, Iqra [6 ]
Bader, Mehnaz [7 ]
Jimenez, Camille [8 ]
Bois, Michael [6 ]
Silvester, Eliza [9 ]
Meservey, Jessica [10 ]
Eng, Valerie [9 ]
Nelson, Megan [10 ]
Cai, Yong [11 ]
Nangarlia, Aakansha [10 ]
Tian, Zhiyi [11 ]
Liu, Yanping [11 ]
Watt, Stephen [7 ]
机构
[1] Pfizer Inc, Global Med Patient Impact Assessment, Worldwide Med & Safety, Groton, CT USA
[2] Brown Univ, Sch Publ Hlth, Providence, RI USA
[3] Pfizer Inc, US Med Affairs, 537 Alandele Ave, Los Angeles, CA 90036 USA
[4] Univ Massachusetts, Program Digital Med, North Worcester, MA USA
[5] Pfizer Inc, Biostat, Groton, CT USA
[6] Pfizer Inc, US Med Affairs, New York, NY USA
[7] Pfizer Inc, Global Med Patient Impact Assessment, Worldwide Med & Safety, New York, NY USA
[8] Pfizer Inc, Global Med Grants, Inst Translat Equitable Med Worldwide Med & Safety, New York, NY USA
[9] IQVIA, Strategy Consulting, New York, NY USA
[10] IQVIA, Strategy Consulting, Boston, MA USA
[11] IQVIA, Adv Analyt, Wayne, PA USA
关键词
COVID-19; Risk factors; SARS-CoV-2; Survey; Testing;
D O I
10.1007/s40121-024-01001-5
中图分类号
R51 [传染病];
学科分类号
100401 ;
摘要
Introduction The United States Centers for Disease Control and Prevention (CDC) advises testing individuals for COVID-19 after exposure or if they display symptoms. However, a deeper understanding of demographic factors associated with testing hesitancy is necessary.Methods A US nationwide cross-sectional survey of adults with risk factors for developing severe COVID-19 ("high-risk" individuals) was conducted from August 18-September 5, 2023. Objectives included characterizing demographics and attitudes associated with COVID-19 testing. Inverse propensity weighting was used to weight the data to accurately reflect the high-risk adult US population as reflected in IQVIA medical claims data. We describe here the weighted results modeled to characterize demographic factors driving hesitancy.Results In the weighted sample of 5019 respondents at high risk for severe COVID-19, 58.2% were female, 37.8% were >= 65 years old, 77.1% were White, and 13.9% had a postgraduate degree. Overall, 67% were Non-testers (who indicated that they were unlikely or unsure of their likelihood of being tested within the next 6 months); these respondents were significantly more likely than Testers (who indicated a higher probability of testing within 6 months) to be female (60.2 vs. 54.1%; odds ratio [OR] [95% confidence interval (CI)], 1.3 [1.1-1.4]), aged >= 65 years old (41.5 vs. 30.3%; OR [95% CI] compared with ages 18-34 years, 0.6 [0.5-0.7]), White (82.1 vs. 66.8%; OR [95% CI], 1.4 [1.1-1.8]), and to identify as politically conservative (40.9 vs. 18.1%; OR [95% CI], 2.6 [2.3-2.9]). In contrast, Testers were significantly more likely than Non-testers to have previous experience with COVID-19 testing, infection, or vaccination; greater knowledge regarding COVID-19 and testing; greater healthcare engagement; and concerns about COVID-19.Conclusions Older, female, White, rural-dwelling, and politically conservative high-risk adults are the most likely individuals to experience COVID-19 testing hesitancy. Understanding these demographic factors will help guide strategies to improve US testing rates.
引用
收藏
页码:1683 / 1701
页数:19
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