Evidence map›Paper›PMID 41792418›Full record

ArticleNPJ digital medicine2026

AI-augmented communication improves HIV PrEP initiation and persistence in populations disproportionately impacted by HIV.

Aditya Narayan, Michael Blasingame, Sam Warmuth, Gabriella Palmeri, India Halm, Ramin Bastani, Whitney Engeran-Cordova, Harold J Phillips, Leandro Mena, Nirav R Shah

Abstract read
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In one paragraph

Article in NPJ digital medicine, 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.

Aditya NarayanClinical Excellence Research Center, Stanford University, Palo Alto, CA, USA.
Michael BlasingameHealthvana Inc, Los Angeles, CA, USA.
Sam WarmuthHealthvana Inc, Los Angeles, CA, USA.
Gabriella PalmeriHealthvana Inc, Los Angeles, CA, USA.
India HalmHealthvana Inc, Los Angeles, CA, USA.
Ramin BastaniHealthvana Inc, Los Angeles, CA, USA.
Whitney Engeran-CordovaAIDS Healthcare Foundation, Los Angeles, CA, USA.
Harold J PhillipsNational Minority AIDS Council, Washington, DC, USA.
Leandro MenaEmory University, Atlanta, GA, USA.
Nirav R ShahClinical Excellence Research Center, Stanford University, Palo Alto, CA, USA. nirav.shah@stanford.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This retrospective cohort study evaluated an AI-powered chatbot used for PrEP support across AIDS Healthcare Foundation clinics in the United States. Among 155,217 eligible adults, individuals who engaged with the chatbot had higher rates of PrEP initiation, follow-up attendance, and appointment adherence than non-users. Engagement was greatest among younger and racial or ethnic minority patients. Findings suggest that AI-supported communication may enhance aspects of PrEP care delivery.

Identifiers

PMID41792418
PMCPMC13223211

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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.