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ArticleTrials2025

Digital limited interaction efficacy trial of LifeSkills Mobile to reduce HIV incidence in young transgender women: study protocol.

Lisa M Kuhns, Robert Garofalo, Marvin Belzer, Julie McAvoy-Banerjea, Jesse Holzman, Eun Kwak, Amy K Johnson, Katie Biello, Rebecca Schnall, Marco A Hidalgo and 2 more

Registry-linked trialAbstract readClinical Trial Protocol
In one paragraph

Article in Trials, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05018611 (Digital, Limited Interaction Efficacy Trial of LifeSkills Mobile to Reduce HIV Incidence in Young Transgender Women), which is not on this map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed, 1 pooled it
–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.

NCT05018611 naactive not recruitingnot on this map

Digital, Limited Interaction Efficacy Trial of LifeSkills Mobile to Reduce HIV Incidence in Young Transgender Women

TypeinterventionalSponsorUniversity of California, Los AngelesRan2022 to 2027Enrolled5,100ConditionsHIV PreventionArmsLifeSkills Mobile
3 · Its place in the literature

Who cites it

2 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Utilizing Machine Learning for Predicting PrEP Use Status Among Sexual and Gender Minority Young Adults.Prevention science : the official journal of the Society for Prevention Research · 2026
    Article
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

12 authors.

Lisa M KuhnsAnn & Robert H. Lurie Children's Hospital of Chicago, Division of Adolescent and Young Adult Medicine, Chicago, IL, USA. lkuhns@luriechildrens.org.
Robert GarofaloAnn & Robert H. Lurie Children's Hospital of Chicago, Division of Adolescent and Young Adult Medicine, Chicago, IL, USA.
Marvin BelzerDivision of Adolescent and Young Adult Medicine at Children's Hospital Los Angeles, Los Angeles, CA, USA.
Julie McAvoy-BanerjeaDivision of Adolescent and Young Adult Medicine at Children's Hospital Los Angeles, Los Angeles, CA, USA.
Jesse HolzmanAnn & Robert H. Lurie Children's Hospital of Chicago, Division of Adolescent and Young Adult Medicine, Chicago, IL, USA.
Eun KwakDepartment of Epidemiology, Fielding School of Public Health, University of California Los Angeles, Los Angeles, CA, USA.
Amy K JohnsonAnn & Robert H. Lurie Children's Hospital of Chicago, Division of Adolescent and Young Adult Medicine, Chicago, IL, USA.
Katie BielloDepartment of Epidemiology, Brown University School of Public Health, Providence, RI, USA.
Rebecca SchnallSchool of Nursing, Columbia University, New York, NY, USA.
Marco A HidalgoDivision of Internal Medicine-Pediatrics and Preventive Medicine, University of California Los Angeles, Los Angeles, CA, USA.
Sari L ReisnerThe Fenway Institute, Fenway Health, Boston, MA, USA.
Matthew J MimiagaDepartment of Epidemiology, Fielding School of Public Health, University of California Los Angeles, Los Angeles, CA, USA.

Funding

Digital, Limited Interaction Efficacy Trial of LifeSkills Mobile to Reduce HIV Incidence in Young Transgender WomenU01AI156875 · NIAID · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI BELZER, MARVIN E, KUHNS, LISA MARY · 2021 to 2025
$9.0M
National Institute of Allergy and Infectious Diseases (NIAD) U01AI156875NIAID NIH HHS U01 AI156875
6 · The paper itself

Abstract

backgroundYoung transgender women are disproportionately impacted by HIV in comparison to other risk groups in the United States. Despite research documenting this vulnerability, few interventions have been developed and tested to reduce their risk and none to evaluate effects on HIV incidence. The LifeSkills Mobile app addresses the specific structural, developmental, and interpersonal challenges to HIV prevention among young transgender women ages 16-29 and is adapted from LifeSkills, a group-based intervention with evidence of efficacy to reduce sexual risk for HIV. The LifeSkills Mobile app was developed to increase the reach of LifeSkills, an evidence-based intervention, broadly via mobile access.

methodsThis study is a digital, limited interaction national randomized controlled trial. Participants are randomized (1:1) to the LifeSkills Mobile intervention or an HIV prevention standard of care condition. The study aims to enroll up to 5000 participants with follow-up visits at 6-month intervals up to 48 months, depending on the date of enrollment. The primary endpoint is incident HIV infection (confirmed via lab test or medical records). A log-rank test will be used to evaluate the null hypothesis of no difference in survival (cumulative HIV incidence) between the two study arms. Secondary endpoints are Behavioral risk is defined as total condomless sex acts in the context of insufficient PrEP protection and PrEP care linkage, initiation, and retention/constancy over time. DISCUSSION: This study will test the efficacy of the LifeSkills Mobile intervention on HIV incidence among young transgender women, ages 16-29 across the US. TRIAL REGISTRATION {2A, 2B}: ClinicalTrials.gov NCT05018611. Registered on August 24, 2021.

Indexed as

HIV InfectionsMobile ApplicationsTransgender PersonsAdolescentAdultFemaleHumansIncidenceMaleRandomized Controlled Trials as TopicSexual BehaviorUnited StatesYoung AdultHIV preventionMobile appTransgender women

Identifiers

PMID41402905
PMCPMC12821300

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

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.