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Misalignment between COVID-19 hotspots and clinical trial sites.
Franks, Lauren; Liu, Hao; Elkind, Mitchell S V; Reilly, Muredach P; Weng, Chunhua; Lee, Shing M.
  • Franks L; Department of Biostatistics, Mailman School of Public Health, Columbia University, New York, New York, USA.
  • Liu H; Department of Biomedical Informatics, Columbia University, New York, New York, USA.
  • Elkind MSV; Department of Neurology, Vagelos College of Physicians and Surgeons, Columbia University, New York, New York, USA.
  • Reilly MP; Department of Epidemiology, Mailman School of Public Health, Columbia University, New York, New York, USA, and.
  • Weng C; Irving Institute for Clinical and Translational Research, Columbia University, New York, New York, USA.
  • Lee SM; Department of Neurology, Vagelos College of Physicians and Surgeons, Columbia University, New York, New York, USA.
J Am Med Inform Assoc ; 28(11): 2461-2466, 2021 10 12.
Article in English | MEDLINE | ID: covidwho-1343694
ABSTRACT
Hundreds of interventional clinical trials have been launched in the United States to identify effective treatment strategies for combating the coronavirus disease 2019 (COVID-19) pandemic. However, to date, only a small fraction of these trials have completed enrollment, delaying the scientific investigation of COVID-19 and its treatment options. This study presents novel metrics to examine the geographic alignment between COVID-19 hotspots and interventional clinical trial sites and evaluate trial access over time during the evolving pandemic. Using temporal COVID-19 case data from USAFacts.org and trial data from ClinicalTrials.gov, U.S. counties were categorized based on their numbers of cases and trials. Our analysis suggests that alignment and access have worsened as the pandemic shifted over time. We recommend strategies and metrics to evaluate the alignment between cases and trials. Future studies are warranted to investigate the impact of the misalignment of cases and clinical trial sites on clinical trial recruitment.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: COVID-19 Type of study: Experimental Studies / Prognostic study / Randomized controlled trials Limits: Humans Country/Region as subject: North America Language: English Journal: J Am Med Inform Assoc Journal subject: Medical Informatics Year: 2021 Document Type: Article Affiliation country: Jamia

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Full text: Available Collection: International databases Database: MEDLINE Main subject: COVID-19 Type of study: Experimental Studies / Prognostic study / Randomized controlled trials Limits: Humans Country/Region as subject: North America Language: English Journal: J Am Med Inform Assoc Journal subject: Medical Informatics Year: 2021 Document Type: Article Affiliation country: Jamia