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Association of neighborhood-level sociodemographic factors with Direct-to-Consumer (DTC) distribution of COVID-19 rapid antigen tests in 5 US communities.
Herbert, Carly; Shi, Qiming; Baek, Jonggyu; Wang, Biqi; Kheterpal, Vik; Nowak, Christopher; Suvarna, Thejas; Singh, Aditi; Hartin, Paul; Durnam, Basyl; Schrader, Summer; Harman, Emma; Gerber, Ben; Barton, Bruce; Zai, Adrian; Cohen-Wolkowiez, Michael; Corbie-Smith, Giselle; Kibbe, Warren; Marquez, Juan; Hafer, Nathaniel; Broach, John; Lin, Honghuang; Heetderks, William; McManus, David D; Soni, Apurv.
Afiliação
  • Herbert C; Program in Digital Medicine, Department of Medicine, University of Massachusetts Chan Medical School, 55 Lake Avenue North, WorcesterWorcester, MA, 01655, USA.
  • Shi Q; Center for Clinical and Translational Science, University of Massachusetts, University of Massachusetts Chan Medical School, Worcester, MA, USA.
  • Baek J; Program in Digital Medicine, Department of Medicine, University of Massachusetts Chan Medical School, 55 Lake Avenue North, WorcesterWorcester, MA, 01655, USA.
  • Wang B; Center for Clinical and Translational Science, University of Massachusetts, University of Massachusetts Chan Medical School, Worcester, MA, USA.
  • Kheterpal V; Department of Population and Quantitative Health Sciences, University of Massachusetts Chan Medical School, Worcester, MA, USA.
  • Nowak C; Program in Digital Medicine, Department of Medicine, University of Massachusetts Chan Medical School, 55 Lake Avenue North, WorcesterWorcester, MA, 01655, USA.
  • Suvarna T; CareEvolution LLC, Ann Arbor, MI, USA.
  • Singh A; CareEvolution LLC, Ann Arbor, MI, USA.
  • Hartin P; CareEvolution LLC, Ann Arbor, MI, USA.
  • Durnam B; Program in Digital Medicine, Department of Medicine, University of Massachusetts Chan Medical School, 55 Lake Avenue North, WorcesterWorcester, MA, 01655, USA.
  • Schrader S; Program in Digital Medicine, Department of Medicine, University of Massachusetts Chan Medical School, 55 Lake Avenue North, WorcesterWorcester, MA, 01655, USA.
  • Harman E; CareEvolution LLC, Ann Arbor, MI, USA.
  • Gerber B; CareEvolution LLC, Ann Arbor, MI, USA.
  • Barton B; CareEvolution LLC, Ann Arbor, MI, USA.
  • Zai A; Department of Population and Quantitative Health Sciences, University of Massachusetts Chan Medical School, Worcester, MA, USA.
  • Cohen-Wolkowiez M; Department of Population and Quantitative Health Sciences, University of Massachusetts Chan Medical School, Worcester, MA, USA.
  • Corbie-Smith G; Department of Population and Quantitative Health Sciences, University of Massachusetts Chan Medical School, Worcester, MA, USA.
  • Kibbe W; Department of Pediatrics, Duke University School of Medicine, Durham, NC, USA.
  • Marquez J; Department of Social Medicine, Department of Medicine, Center for Health Equity Research, University of North Carolina School of Medicine, Chapel Hill, NC, USA.
  • Hafer N; Department of Biostatistics and Bioinformatics, Duke University School of Medicine, Durham, NC, USA.
  • Broach J; Washtenaw County Health Department, Washtenaw, MI, USA.
  • Lin H; Center for Clinical and Translational Science, University of Massachusetts, University of Massachusetts Chan Medical School, Worcester, MA, USA.
  • Heetderks W; Department of Emergency Medicine, University of Massachusetts Chan Medical School, Worcester, MA, USA.
  • McManus DD; Program in Digital Medicine, Department of Medicine, University of Massachusetts Chan Medical School, 55 Lake Avenue North, WorcesterWorcester, MA, 01655, USA.
  • Soni A; National Institute of Biomedical Imaging and Bioengineering, NIH, Via Contract With Kelly Services, Bethesda, MD, USA.
BMC Public Health ; 23(1): 1848, 2023 09 22.
Article em En | MEDLINE | ID: mdl-37735647
ABSTRACT

BACKGROUND:

Many interventions for widescale distribution of rapid antigen tests for COVID-19 have utilized online, direct-to-consumer (DTC) ordering systems; however, little is known about the sociodemographic characteristics of home-test users. We aimed to characterize the patterns of online orders for rapid antigen tests and determine geospatial and temporal associations with neighborhood characteristics and community incidence of COVID-19, respectively.

METHODS:

This observational study analyzed online, DTC orders for rapid antigen test kits from beneficiaries of the Say Yes! Covid Test program from March to November 2021 in five communities Louisville, Kentucky; Indianapolis, Indiana; Fulton County, Georgia; O'ahu, Hawaii; and Ann Arbor/Ypsilanti, Michigan. Using spatial autoregressive models, we assessed the geospatial associations of test kit distribution with Census block-level education, income, age, population density, and racial distribution and Census tract-level Social Vulnerability Index. Lag association analyses were used to measure the association between online rapid antigen kit orders and community-level COVID-19 incidence.

RESULTS:

In total, 164,402 DTC test kits were ordered during the intervention. Distribution of tests at all sites were significantly geospatially clustered at the block-group level (Moran's I p < 0.001); however, education, income, age, population density, race, and social vulnerability index were inconsistently associated with test orders across sites. In Michigan, Georgia, and Kentucky, there were strong associations between same-day COVID-19 incidence and test kit orders (Michigan r = 0.89, Georgia r = 0.85, Kentucky r = 0.75). The incidence of COVID-19 during the current day and the previous 6-days increased current DTC orders by 9.0 (95% CI = 1.7, 16.3), 3.0 (95% CI = 1.3, 4.6), and 6.8 (95% CI = 3.4, 10.2) in Michigan, Georgia, and Kentucky, respectively. There was no same-day or 6-day lagged correlation between test kit orders and COVID-19 incidence in Indiana.

CONCLUSIONS:

Our findings suggest that online ordering is not associated with geospatial clustering based on sociodemographic characteristics. Observed temporal preferences for DTC ordering can guide public health messaging around DTC testing programs.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: COVID-19 Tipo de estudo: Diagnostic_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Ano de publicação: 2023 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: COVID-19 Tipo de estudo: Diagnostic_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Ano de publicação: 2023 Tipo de documento: Article