Evidence map›Paper›PMID 40882210›Full record

ArticleJMIR public health and surveillance2025

An Enhanced Social Network Strategy to Increase the Uptake of HIV Services: Protocol for Type I Hybrid Implementation Study (Carolinas RESPOND).

Ian Dale, Meagan Zarwell, Alicia Diggs, Jesse Strunk Elkins, Eunice Okumu, Sharon Weissman, Feng-Chang Lin, Victoria Mobley, Carol Golin, Abby Rudolph and 1 more

Abstract read
In one paragraph

Article in JMIR public health and surveillance, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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

11 authors.

Ian DaleInstitute for Global Health and Infectious Diseases, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States.ORCID 0009-0005-3443-1372
Meagan ZarwellDepartment of Epidemiology and Community Health, College of Health and Human Services, University of North Carolina at Charlotte, Charlotte, NC, United States.ORCID 0000-0002-3562-7415
Alicia DiggsCenter for AIDS Research, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States.ORCID 0009-0004-0127-0034
Jesse Strunk ElkinsDepartment of Epidemiology and Community Health, College of Health and Human Services, University of North Carolina at Charlotte, Charlotte, NC, United States.ORCID 0009-0001-5604-9298
Eunice OkumuCenter for AIDS Research, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States.ORCID 0009-0004-4106-821X
Sharon WeissmanSchool of Medicine, University of South Carolina, Columbia, SC, United States.ORCID 0000-0002-2854-5745
Feng-Chang LinGillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States.ORCID 0000-0002-2638-1775
Victoria MobleyDivision of Public Health, Communicable Disease Branch, NC Department of Health and Human Services, Raleigh, NC, United States.ORCID 0000-0003-4702-4467
Carol GolinCenter for AIDS Research, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States.ORCID 0000-0002-5546-3163
Abby RudolphCollege of Public Health, Temple University, Philadelphia, PA, United States.ORCID 0000-0003-1786-3307
Ann M DennisSchool of Medicine, University of North Carolina at Chapel Hill, 130 Mason Farm Rd, Chapel Hill, NC, 27599-6134, United States, 1 9199662536.ORCID 0000-0003-0687-9661

Funding

Virology, Immunology, and Microbiology CoreP30AI050410 · NIAID · UNIV OF NORTH CAROLINA CHAPEL HILL · PI DAVID M. MARGOLIS · 2001 to 2026
$76.9M
Re-Entry Supplement: Investigation of Oral Microbial Enzymes for the Detection and Treatment of Periodontal DiseaseUL1TR002489 · NCATS · UNIV OF NORTH CAROLINA CHAPEL HILL · PI BUSE, JOHN BERNARD, SHAHEEN, NICHOLAS J · 2018 to 2022
$48.6M
North Carolina Translational and Clinical Sciences Institute (NC TraCS)UM1TR004406 · NCATS · UNIV OF NORTH CAROLINA CHAPEL HILL · PI NICHOLAS J SHAHEEN · 2023 to 2026
$37.5M
Rapid Response to Incident HIV Infection through Social Network Strategies and Molecular Epidemiology to Inform Partner ServicesR01AI169602 · NIAID · UNIV OF NORTH CAROLINA CHAPEL HILL · PI Ann Dennis · 2022 to 2026
$3.6M
NCATS NIH HHS UL1 TR002489NCATS NIH HHS UM1 TR004406NIAID NIH HHS P30 AI050410NIAID NIH HHS R01 AI169602
6 · The paper itself

Abstract

Background: In the United States, persisting new HIV diagnoses among gay, bisexual, and other cisgender men who have sex with men (GBMSM) and transgender women make it unlikely that the United States will meet the Ending the HIV Epidemic's (EHE) goal to reduce new HIV diagnoses by 90% by 2030. Innovative strategies are needed to address this challenge, particularly in the US South, where Black and Latinx GBMSM and transgender women are disproportionately impacted by HIV. Social network approaches have led to increased HIV testing uptake. Social network interventions that are responsive to individuals' needs among disproportionately impacted groups could also increase engagement across the HIV prevention and care continuum. Objective: This hybrid type 1 effectiveness-implementation study will evaluate an enhanced social network strategy (eSNS) intervention designed to increase engagement in HIV services (HIV testing, pre-exposure prophylaxis [PrEP] use, and HIV care) by groups disproportionately affected by HIV. From 2025 to 2027, eSNS will be delivered in the Charlotte, North Carolina (NC) region, which includes Mecklenburg County, a priority EHE jurisdiction. Methods: The study's phase 1 was a formative period of mixed methods data collection to operationalize enhancements to the Centers for Disease Control and Prevention's social network strategy (SNS). In Phase 2, the intervention will be integrated into standard NC Partner Services for people diagnosed with HIV and their sexual or social contacts, which is routinely performed by disease intervention specialists (DISs). We will identify network recruiters (ambassadors) who are 18 years and older and are either reached by study team DIS (DIS coaches) performing partner services or referred at community sites. Over 2-6 weeks, DIS coaches will guide ambassadors to identify and refer people in their network (peers) for HIV services and will facilitate peers' referrals to HIV services. Finally, Phase 3 will evaluate the eSNS's effectiveness in increasing HIV services uptake compared to standard-of-care partner services in the Raleigh, NC region. Results: This project was funded by the National Institutes of Health and initially approved by the University of North Carolina at Chapel Hill's Institutional Review Board in 2022. Phase 1 concluded in August 2024. Implementation of eSNS (Phase 2) was launched in March 2025. Based on phase 1 findings, the study was modified to include Ambassadors of any race or ethnicity and gender (originally only Black GBMSM and transgender women) and expand identification of ambassadors through community sites (in addition to partner services). Conclusions: Substantial reductions in new HIV diagnoses depend on public health approaches that effectively reach people with a higher likelihood of acquiring HIV. Our protocol proposes integrating existing strategies with an innovative intervention (eSNS) to reduce social barriers to disproportionately affected groups' engagement in the full HIV prevention and care continuum.

Indexed as

HIV InfectionsPatient Acceptance of Health CareSocial NetworkingFemaleHumansMaleNorth CarolinaSexual and Gender MinoritiesUnited Statesclinical research protocolHIV-1implementation sciencepublic health surveillancesocial networks

Identifiers

PMID40882210
PMCPMC12396802

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.