Computational phenotyping with the All of Us Research Program: identifying underrepresented people with HIV or at risk of HIV
Xueying Yang, Jiajia Zhang, Ruilie Cai, Chen Liang, Bankole Olatosi, Sharon Weissman, Xiaoming Li- Health Informatics
Abstract
Objective
This study aims to identify the people living with HIV (PWH) and pre-exposure prophylaxis (PrEP) users in the All of Us (AoU) database by integrating information from both electronic health record (EHR)- and self-reported survey data.
Methods
We identified PWH and PrEP users if they met the inclusion criterion by conditions, lab measurements, or medications related to HIV in EHR data or confirmed questions in the Survey data.
Results
We evaluated the latest data release through July 1, 2022 in AoU. Through computational phenotyping, we identified 4575 confirmed and 3092 probable adult PWH and 564 PrEP users. PWH was most identified by a combination of medications and conditions (3324, 43.4%) and drug exposure alone (2191, 28.6%), then less commonly by survey data alone (608, 7.9%) and lab alone (81, 1.1%).
Discussion and conclusion
Our methods serve as an overall framework for other researchers using AoU data for conducting HIV-related research.