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AIDS Care
Psychological and Socio-medical Aspects of AIDS/HIV
Volume 36, 2024 - Issue 5
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Research Article

Economic and clinical burdens and associated health disparities in HIV/AIDS management using big data: potentially inappropriate use and deprescribing of benzodiazepines

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Pages 604-611 | Received 27 Jul 2020, Accepted 19 Oct 2020, Published online: 19 Nov 2020
 

ABSTRACT

This study aimed to examine factors, healthcare utilization, and medical costs associated with potentially inappropriate use of benzodiazepines in persons living with HIV (PLWH). We used big data from Medicare claims in 2017. Potentially inappropriate use of benzodiazepines was defined as having any benzodiazepine claims in individuals 65+ years or having benzodiazepine claims for more than four weeks in individuals 18–64 years. Logistic regressions, zero-inflated negative binomial regressions, and generalized linear models were used. This study included 1,211 PLWH and 235 (19.41%) had potentially inappropriate use of benzodiazepines. PLWH who were 65+ years (OR: 0.56; 95% CI: 0.33, 0.96), non-Hispanic blacks (OR: 0.29; 95% CI: 0.20, 0.41), or Hispanics (OR: 0.55; 95% CI: 0.35, 0.88) were less likely to use benzodiazepines inappropriately. PLWH who had potentially inappropriate use of benzodiazepines had more inpatient (IRR: 1.46; 95% CI: 1.10, 1.94), outpatient (IRR: 1.14; 95% CI 1.02, 1.28), and emergency room (IRR: 1.32; 95% CI: 1.03, 1.68) visits. Potentially inappropriate use of benzodiazepines was associated with higher total (β: 0.16; 95% CI: 0.07, 0.25), Medicare (β: 0.18; 95% CI: 0.07, 0.28), and out-of-pocket (β: 0.21; 95% CI: 0.05, 0.36) costs. This study provides real-world evidence to support deprescribing benzodiazepines in PLWH.

Disclosure statement

No potential conflict of interest was reported by the author(s).

Additional information

Funding

Work on this article was supported in part by SPARC grant sponsored by the Office of the Vice President for Research, University of South Carolina.
This article is part of the following collections:
Harnessing Big Data to End HIV

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