Leveraging Electronic Health Records and Claims Data to Improve HIV and Comorbidity Care Trajectories: A Scoping...

Big Data sources, specifically electronic health records (EHR) and insurance claims data, are key in advancing HIV research. This scoping review summarizes recent research using EHR/claims to understand the evolving relationship between HIV and comorbidities.

Data sources ranged from individual health system EHR to multi-system integrated datasets. Datasets that linked insurance claims or EHR with external sources (e.g. public health HIV surveillance, social systems) had the richest findings. PLWH who maintained care for HIV and comorbidities, including COVID-19, had similar health outcomes to peers living without HIV. Mental health, substance use disorders, and HPV-related cancers remain prevalent in PLWH. HIV stigma and racial disparities in non-HIV comorbidity care were detected. These findings reinforce evidence of improving general health for PLWH as research and evidence-based treatment progress, and the utility of Big Data for PLWH in public health emergencies like COVID-19. There is continued need for tailored interventions for co-morbid mental health and some cancers. Linking EHR/claims data to external sources are critical to research and practice innovations in approaching whole-person care on the path to HIV elimination.