ArticleJournal of acquired immune deficiency syndromes (1999)2026
Real-World Estimates of HIV Incidence From Sexual Health Clinic EMRs: Feasibility, Limitations, and Implications for Surveillance.
Article in Journal of acquired immune deficiency syndromes (1999), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
20 authors.
Funding
Abstract
backgroundTimely and accurate estimates of HIV incidence are essential for program monitoring and planning clinical studies. Real-world evidence from electronic medical records (EMRs) in sexual health clinics may provide a pragmatic alternative to resource-intensive surveys and surveillance.
settingWe conducted a retrospective cohort study across 5 health centers in the United States, South Africa, and Thailand to assess the feasibility of estimating HIV incidence using EMR data.
methodsClients aged 16-64 years assigned male at birth who reported ever having sex with someone assigned male at birth and had at least 1 HIV test between July 1, 2022, and December 31, 2023, were included. Deidentified data were extracted and subcohorts created considering 1 versus more than 1 HIV test during the study period. Incidence rates were calculated within the multiple-test (MT) cohort using person-time at risk; diagnosis proportions were calculated for all cohorts.
resultsAll sites met data quality thresholds for essential demographic and clinical variables. A total of 25,801 clients were included. Diagnosis proportions in single-test cohorts were higher (2.9%-12.6%) than in MT cohorts (0%-0.53%). Incidence rates among MT cohorts ranged from 0.22 to 0.72 per 100 person-years, substantially lower than expected, likely due to PrEP use and selection bias toward health-engaged clients.
conclusionEMR-based HIV incidence estimation is feasible but limited by data variability and selection bias thus incidence estimates from MT cohorts may not reflect true community incidence. Diagnoses data may be used for incidence modeling where there is sufficient sample size.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.