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Cross-Sectional Survey of Factors Contributing to COVID-19 Testing Hesitancy Among US Adults at Risk of Severe Outcomes from COVID-19.
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- Author(s): Assaf AR;Assaf AR;Assaf AR; Sidhu GS; Sidhu GS; Soni A; Soni A; Cappelleri JC; Cappelleri JC; Draica F; Draica F; Herbert C; Herbert C; Arham I; Arham I; Bader M; Bader M; Jimenez C; Jimenez C; Bois M; Bois M; Silvester E; Silvester E; Meservey J; Meservey J; Eng V; Eng V; Nelson M; Nelson M; Cai Y; Cai Y; Nangarlia A; Nangarlia A; Tian Z; Tian Z; Liu Y; Liu Y; Watt S; Watt S
- Source:
Infectious diseases and therapy [Infect Dis Ther] 2024 Jul; Vol. 13 (7), pp. 1683-1701. Date of Electronic Publication: 2024 Jun 13.- Publication Type:
Journal Article- Language:
English - Source:
- Additional Information
- Source: Publisher: Adis Country of Publication: New Zealand NLM ID: 101634499 Publication Model: Print-Electronic Cited Medium: Print ISSN: 2193-8229 (Print) Linking ISSN: 21936382 NLM ISO Abbreviation: Infect Dis Ther Subsets: PubMed not MEDLINE
- Publication Information: Publication: 2014- : [Auckland] Adis
Original Publication: [London] : Springer Healthcare - Abstract: 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.
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Health Res Policy Syst. 2023 Jan 25;21(1):11. (PMID: 36698202) - Contributed Indexing: Keywords: COVID-19; Risk factors; SARS-CoV-2; Survey; Testing
- Publication Date: Date Created: 20240613 Latest Revision: 20240705
- Publication Date: 20240705
- Accession Number: PMC11219613
- Accession Number: 10.1007/s40121-024-01001-5
- Accession Number: 38869840
- Source:
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