A Cross-Biomeasure Study to Optimize Antiretroviral Adherence Estimation

We demonstrate higher accuracy of moderate-term biomeasures to classify adherence over a 14-day period compared with long-term biomeasures to classify adherence over a 28-day period. Combined moderate- and long-term biomeasures predicted stable and changing adherence patterns, with dried blood spots exhibiting highest accuracy.

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Publication Details

Journal
JAIDS Journal of Acquired Immune Deficiency Syndromes
Published
2024-11-21
DOI
https://doi.org/10.1097/qai.0000000000003570
Citations
2
Primary Topic
HIV/AIDS Research and Interventions
Type
article
Field-Weighted Citation Impact
0.78
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article

A Cross-Biomeasure Study to Optimize Antiretroviral Adherence Estimation

Amanda Poliseno, Julie B. Dumond, Amanda P. Schauer, Angela D. M. Kashuba et al.
2 citations
JAIDS Journal of Acquired Immune Deficiency Syndromes
HIV/AIDS Research and Interventions
0.78
article

A Cross-Biomeasure Study to Optimize Antiretroviral Adherence Estimation

Amanda Poliseno, Julie B. Dumond, Amanda P. Schauer, Angela D. M. Kashuba, Ann Marie Weideman, Cynthia L. Gay, Nicole White, Kayla W. Kilpatrick, Michael G. Hudgens, Aaron S. Devanathan, Mackenzie Leigh Cottrell, Elias P. Rosen, Craig Sykes
article en
2 citations

Abstract

We demonstrate higher accuracy of moderate-term biomeasures to classify adherence over a 14-day period compared with long-term biomeasures to classify adherence over a 28-day period. Combined moderate- and long-term biomeasures predicted stable and changing adherence patterns, with dried blood spots exhibiting highest accuracy.

JAIDS Journal of Acquired Immune Deficiency SyndromesVol. 98(3)
University of North Carolina at Chapel Hill (US), University of Pittsburgh (US), Duke University (US)
Good health and well-being
Openalex Percentile: Top 26%
HIV/AIDS Research and Interventions
0.78
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