Evidence map›Paper›PMID 42078907›Full record

ArticleResearch square2026

When scientific constraints and real-world implementation collide: Lessons from a hybrid type 3 study of a digital, direct-to-consumer HIV prevention program.

Kathryn R Macapagal, Krystal L Madkins, Ashley Knapp, Manuel Hurtado, Mariajosé Paton, Bryant Norton, Josephine Owusu, Isaac Greenawalt, Dennis H Li, Brian Mustanski

Abstract readPreprint
In one paragraph

Article in Research square, 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.

Kathryn R MacapagalNorthwestern University.
Krystal L MadkinsNorthwestern University.
Ashley KnappNorthwestern University.
Manuel HurtadoNorthwestern University.
Mariajosé PatonNorthwestern University.
Bryant NortonNorthwestern University.
Josephine OwusuUniversity of Illinois at Chicago.
Isaac GreenawaltLong Island University.
Dennis H LiNorthwestern University.
Brian MustanskiNorthwestern University.

Funding

Northwestern University Clinical and Translational Science Institute (NUCATS)UL1TR001422 · NCATS · NORTHWESTERN UNIVERSITY AT CHICAGO · PI D'AQUILA, RICHARD · 2015 to 2023
$56.8M
Virology and Immunology Technology CoreP30AI117943 · NIAID · NORTHWESTERN UNIVERSITY AT CHICAGO · PI Sahera Dirajlal-Fargo · 2015 to 2026
$38.4M
A pragmatic trial of two strategies for implementing an effective eHealth HIV prevention programR01MH118213 · NIMH · NORTHWESTERN UNIVERSITY AT CHICAGO · PI MUSTANSKI, BRIAN · 2018 to 2022
$8.8M
Technology-Enabled Prevention Service for At-Risk Youth Life Event SupplementK01MH121854 · NIMH · NORTHWESTERN UNIVERSITY AT CHICAGO · PI KNAPP, ASHLEY AREHART · 2020 to 2025
$927k
NCATS NIH HHS UL1 TR001422NIAID NIH HHS P30 AI117943NIMH NIH HHS K01 MH121854NIMH NIH HHS R01 MH118213
6 · The paper itself

Abstract

Background: Digital HIV prevention interventions (DHIs) are efficacious in increasing prevention behaviors, and delivering them direct-to-consumer (DTC) expands their reach. However, few have successfully moved rigorously-studied DHIs from research to public health practice. Hybrid type 3 effectiveness-implementation studies promise to approximate more naturalistic settings and accelerate translation from research to practice, and few DTC DHIs have been tested this way. This study describes lessons learned from a hybrid type 3 study of a DTC DHI for young men who have sex with men (YMSM) ages 18-29 called Keep It Up! (KIU!) 3.0. Methods: KIU! 3.0 was initially designed as a cluster-randomized hybrid type 3 implementation-effectiveness study across 44 United States counties with high HIV incidence among YMSM (22 DTC; 22 implemented in community-based organizations). The DTC strategy relied on online recruitment, at-home HIV/STI testing, and centralized intervention delivery. Over the course of the trial (October 2019-March 2023), we adapted our implementation four times in response to recruitment and retention challenges. Data sources included enrollment logs, advertising expenditures, participant communications, and internal documentation, which are used to characterize recruitment, costs, and recruitment/retention patterns. Results: Due to challenges in recruitment and retention, four major changes were made over the course of the trial: 1) streamlining enrollment procedures, including shortening screening and verification steps, 2) modifying eligibility criteria, including expanding age limits, removing sexual risk requirements, and including gender-diverse participants, 3) introducing and increasing financial incentives for intervention completing and follow-up measures, and 4) shifting from county-level to nationwide recruitment. Following this fourth change in March 2021, enrollment increased by 301%, and cost per enrolled participant decreased. Ultimately 1,468 participants were enrolled nationwide. Nevertheless, retention and return of at-home STI test kits remained challenging, and guaranteed incentives increased the prevalence of imposter participants. Conclusion: Implementing a DTC DHI within a hybrid type 3 study required balancing pragmatic implementation goals with effectiveness outcomes measurement. Future hybrid studies of DTC digital health interventions should consider eligibility criteria, incentive structures, outcomes measurement strategies, and the distinction between research and service components to better align research with real-world implementation contexts.

Indexed as

Digital health interventionsDirect-to-consumer (DTC) interventionsHIV preventionhybrid effectiveness-implementation study

Identifiers

PMID42078907
PMCPMC13131882

What OpenQuestion holds

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LicenceCC BY
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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.