Evidence map›Paper›PMID 41728328›Full record

ArticlemedRxiv : the preprint server for health sciences2026

Characterizing the impact of the COVID-19 pandemic on HIV testing among Medicaid beneficiaries.

Maylin C Palatino, Jacqueline E Rudolph, Yiyi Zhou, Keri L Calkins, Karine Yenokyan, Gregory M Lucas, Xiaoqiang Xu, Eryka L Wentz, Corinne E Joshu, Bryan Lau

Abstract readPreprint
In one paragraph

Article in medRxiv : the preprint server for health sciences, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors.

Maylin C PalatinoDepartment of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD.
Jacqueline E RudolphDepartment of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD.
Yiyi ZhouDepartment of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD.
Keri L CalkinsDepartment of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD.
Karine YenokyanDepartment of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD.
Gregory M LucasJohns Hopkins University School of Medicine, Baltimore, MD.
Xiaoqiang XuJohns Hopkins University School of Medicine, Baltimore, MD.
Eryka L WentzDepartment of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD.
Corinne E JoshuDepartment of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD.
Bryan LauDepartment of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD.

Funding

At the Intersection of HIV and COVID-19: Medicaid Data as a Complement to Cohort StudiesR01AI170240 · NIAID · JOHNS HOPKINS UNIVERSITY · PI JOSHU, CORINNE E., LAU, BRYAN · 2022 to 2025
$3.8M
NIAID NIH HHS R01 AI170240
6 · The paper itself

Abstract

Objectives: Estimate the HIV testing, diagnoses, and test positivity rates among Medicaid beneficiaries in 2016-2021 and assess the impact of the COVID-19 pandemic on these outcomes. Design: Prospective observational study of Medicaid enrollment, inpatient, and outpatient claims data from 27 states, 2016-2021. Methods: We assessed Medicaid claims from adult beneficiaries with full benefits whose first continuous enrollment was ≥6 months without dual enrollment in other insurance, and without previous HIV diagnosis. We estimated the rates of annual testing, HIV diagnosis, and proportion of positive HIV tests among the tested using Poisson regression models. Bayesian structural time series modelling was performed to examine the pandemic's impact on study outcomes with 3/16/2020-12/31/2021 as the pandemic period. We estimated rates overall and by age, sex, race/ethnicity, and states' level of COVID-19-related restriction policies. Results: We included 20,508,785 beneficiaries. Male beneficiaries, especially 18-34-year-olds, had lower annual testing uptake and higher test positivity rates than female beneficiaries. Black beneficiaries had higher annual testing rates than White and Hispanic beneficiaries. While the pandemic acutely disrupted the increasing pre-pandemic testing trend, the rates recovered to the expected level had the pandemic not happened, except among 18-34-year-old male beneficiaries, whose pandemic rates were, on average, 18.1% lower (95% confidence interval:-22.3,-13.8) than projected rates. HIV diagnosis and test positivity rates were not affected by the pandemic. Conclusion: The pandemic significantly impacted the testing uptake among young male beneficiaries, highlighting the need for innovative strategies to improve HIV testing uptake in this demographic, restoring it to pre-pandemic levels or better.

Indexed as

COVID-19 PandemicHIV infection diagnosisHIV testingHIV test positivityMedicaid

Identifiers

PMID41728328
PMCPMC12919114

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Registered trials

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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.