Abstract

Social determinants of health (SDoH) including income, education, employment, and housing are known to affect health outcomes; while use in real-world database studies are limited. This study assessed socioeconomic differences in burden of disease and utilization of COVID-19 specific medications in a large cohort of patients in the US. A total of 17,682,111 patients having a COVID-19 diagnosis between 4/1/2020 and 4/30/2022 were identified in the IQVIA longitudinal medical and pharmacy claims databases of >277 million patients. For SDoH, a 3-digit zip code median Area Deprivation Index (ADI) (v2.0 University of Wisconsin School of Medicine and Public Health 2015) was calculated for each patient, maintaining patient privacy. The ADI is a validated tool ranking neighborhoods by socioeconomic disadvantage. Medical and pharmacy utilization was assessed and stratified by ADI pentiles, where 0-20 was the least disadvantaged, and 81-100 was the most disadvantaged. The proportion of patients having a claim with COVID-19 diagnosis was higher in the most disadvantaged (7.75%) compared to the least disadvantaged group (5.94%) (US overall: 6.37%). Medical claims prior to COVID-19 diagnosis were highest in the least disadvantaged, while prior pharmacy utilization was highest in the most-disadvantaged group. There was sparse use of COVID-19 medications overall; the least disadvantaged patients had the lowest use of COVID-19 specific medications. Casirivimab/imdevimab use was highest in the 61-80 (2.01%) and 81-100 (1.79%) ADI groups, and remdesivir use was highest in the moderately disadvantaged (ADI 41-60 and 61-80) groups (both 2.33%). Utilization of hydroxychloroquine (unapproved for COVID-19) increased from 0.91% in the least to 2.13% in the most disadvantaged groups. This study shows unequal burden of COVID-19 prevalence by SDoH, with the most disadvantaged having a higher disease burden and utilization of certain approved and unapproved COVID-19 medications, highlighting the need for further study of the reasons for these disparities.

Full Text
Published version (Free)

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call