Evidence map›Paper›PMID 41511388›Full record

ArticleJournal of acquired immune deficiency syndromes (1999)2026

Brief Report: The Trials of Insurance-Based Data to Care-Rx: Low Enrollment in the Antiretroviral Improvement Among Medicaid EnrolleeS (AIMS) Study.

April D Kimmel, Michael Stirratt, Kathy K Byrd, Rose S Bono, Andrew Mitchell, Elliot Popoff, Caressa Palmer, Rachel Stallings, Delton Harris, Rebecca Dillingham and 6 more

Abstract read
In one paragraph

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.

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

16 authors.

April D KimmelDepartment of Health Policy, Virginia Commonwealth University School of Public Health, Richmond, VA.ORCID 0000-0002-3966-8476
Michael StirrattNational Institute of Mental Health, National Institutes of Health, Bethesda, MD.
Kathy K ByrdHIV Research Branch, Division of HIV Prevention, Centers for Disease Control and Prevention, Atlanta, GA.
Rose S BonoDepartment of Health Policy, Virginia Commonwealth University School of Public Health, Richmond, VA.
Andrew MitchellIncentive Coordination and Economic Research Division, Healthcare Analytics & Transformation, Virginia Department of Medical Assistance Services, Richmond, VA.
Elliot PopoffDepartment of Health Policy, Virginia Commonwealth University School of Public Health, Richmond, VA.
Caressa PalmerDepartment of Health Policy, Virginia Commonwealth University School of Public Health, Richmond, VA.
Rachel StallingsDivision of Disease Prevention, Office of Epidemiology, Population Health and Preparedness, Virginia Department of Health, Richmond, VA.
Delton HarrisDepartment of Health Policy, Virginia Commonwealth University School of Public Health, Richmond, VA.
Rebecca DillinghamSentara Martha Jefferson Hospital, Charlottesville, VA.
Robert HigginsonVCU Health, Richmond, VA.
Tuyetanh EichholzUVA Health, Charlottesville, VA; and.
Zhongzhe PanDepartment of Health Policy, Virginia Commonwealth University School of Public Health, Richmond, VA.
Karen IngersollSchool of Medicine, University of Virginia, Charlottesville, VA.
Bassam DahmanDepartment of Health Policy, Virginia Commonwealth University School of Public Health, Richmond, VA.
Antiretroviral Improvement of Medicaid EnrolleeS (AIMS) Team

Funding

CDC HHS U01 PS005192NCHHSTP CDC HHS U01 PS005192
6 · The paper itself

Abstract

backgroundApproaches to strengthen Data-to-Care (D2C) models are needed. We tested an insurance-based D2C prescription model (D2C-Rx), which used antiretroviral therapy (ART) prescription claims to identify people with HIV who fail to fill ART prescriptions in a timely manner and to provide ART adherence support. The Antiretroviral Improvement among Medicaid EnrolleeS (AIMS) study was the first trial of an insurance-based D2C-Rx program. We describe AIMS study enrollment, focusing on patient-participants in the AIMS program arm.

settingVirginia, United States.

methodsAIMS used Virginia Medicaid claims and HIV surveillance data to identify Medicaid enrollees with HIV who were without an ART prescription and their providers; study staff then provided targeted adherence support. The target patient-participant sample size was 1000. The outcome of interest was HIV viral suppression.

resultsThe study encountered difficulty recruiting patient-participants. Low enrollment prompted major changes to the protocol, including revisions to study design, eligibility criteria, and recruitment methods. These changes were unsuccessful. The trial was terminated because of low patient-participant enrollment (n = 4).

conclusionsReasons for low patient-participant enrollment may include phone-based recruitment approach, lengthy identity verification and consent procedures, and lack of participant compensation. Although we aimed to identify people with HIV without a current ART prescription refill, several participants reported having their medications available; this discrepancy suggests issues with unexpected participant behavior (eg, stockpiling) or timeliness and accuracy of prescription claims data. Future insurance-based D2C-Rx interventions should account for these challenges, be tailored to context, and be nimble enough to pivot to alternative recruitment methods when needed.

Indexed as

Anti-HIV AgentsAnti-Retroviral AgentsHIV InfectionsMedicaidAdolescentAdultFemaleHumansMaleMiddle AgedUnited StatesVirginiaYoung AdultAnti-HIV AgentsAnti-Retroviral Agentsadherenceadministrative claimsclinical trialsdata to careHIV

Identifiers

PMID41511388
PMCPMC13579635

What OpenQuestion holds

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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.