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https://doi.org/10.21203/rs.3....
Article . 2025 . Peer-reviewed
License: CC BY
Data sources: Crossref
https://doi.org/10.2139/ssrn.5...
Article . 2025 . Peer-reviewed
Data sources: Crossref
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Advancing Clinical Trial Participation: Leveraging Artificial and Geospatial Intelligence

Authors: George Udeani; Terri Moore; Joy Alonzo; Dorothy Farrell; Keith Biggers; Matthew Barry; Chioma Ogbodo; +8 Authors

Advancing Clinical Trial Participation: Leveraging Artificial and Geospatial Intelligence

Abstract

Abstract Background The COVID-19 pandemic caused major socioeconomic disruptions nationally and globally, disproportionately affecting racial and ethnic minority populations (REMP) in terms of infection and hospitalization rates. Evidence suggests these disparities occurred during pre-hospitalization stages. To address these inequities, Texas A&M University partnered with the American Association of Colleges of Pharmacy to develop the 'Pharmacy Advances Clinical Trials' (PACT) Network. This initiative aims to achieve diversity in COVID-19 clinical trials through community-based and geospatial strategies. Aim To evaluate pharmacy and clinical trial proximity to racial and ethnic minority populations as an approach to optimize enrollments in COVID-19 clinical trials. Methods Open-source geospatial data including demographic, economic, and population data from the United States (US) Census Bureau, were overlayed with Clinicaltrials.gov data to build a database of ongoing and completed COVID-19 clinical trials in the US, and derive metrics related to their proximity to REMP, considering ongoing and completed clinical trials and enrollment by race and ethnicity. A separate database of 67,618 US community pharmacies from the National Council for Prescription Drug Programs was used to assess REMP's proximity to community pharmacies. The CDC COVID-19 Community Level and COVID-19 Community Vulnerability Index database was also incorporated to evaluate community transmission and overall vulnerability/risk. Results Despite living closer to clinical trial sites, REMP participation in COVID-19 trials was lower than that of the White population. Ninety-five percent of non-REMP reside within 102.5 miles of COVID-19 clinical trial sites, compared to 87 miles for REMP. Results for community pharmacies demonstrate that while 95% of the non-REMP US population reside within 7.25 miles of community pharmacies, REMP live within 3.75 miles. Participation in COVID-19 clinical trials was as follows: 8% Black or African American, 8% Hispanic or Latino, 11% Asian, 8% Other, 4% Not Applicable, and 61% White. Conclusion This study found that although REMP resided near community pharmacies and COVID-19 clinical trial sites, their enrollments were lower than non-REMP. The DCT model within the pharmacy setting could help mitigate and improve recruitment and retention challenges observed in centralized trials.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
hybrid