Evidence map›Paper›PMID 38965982›Full record

ArticleJournal of the International AIDS Society2024

Estimating the potential value of MSM-focused evidence-based implementation interventions in three Ending the HIV Epidemic jurisdictions in the United States: a model-based analysis.

Benjamin Enns, Yi Sui, Brenda C Guerra-Alejos, Lia Humphrey, Micah Piske, Xiao Zang, Susanne Doblecki-Lewis, Daniel J Feaster, Victoria A Frye, Elvin H Geng and 6 more

Abstract read
In one paragraph

Article in Journal of the International AIDS Society, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 2 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.

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

5 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Review
  4. Article
  5. Journal of the International AIDS Society · 2024
    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

16 authors.

Benjamin EnnsCentre for Advancing Health Outcomes, Vancouver, British Columbia, Canada.
Yi SuiCentre for Advancing Health Outcomes, Vancouver, British Columbia, Canada.
Brenda C Guerra-AlejosCentre for Advancing Health Outcomes, Vancouver, British Columbia, Canada.
Lia HumphreyCentre for Advancing Health Outcomes, Vancouver, British Columbia, Canada.
Micah PiskeCentre for Advancing Health Outcomes, Vancouver, British Columbia, Canada.
Xiao ZangSchool of Public Health, University of Minnesota, Minneapolis, Minnesota, USA.
Susanne Doblecki-LewisDivision of Infectious Diseases, University of Miami Miller School of Medicine, Miami, Florida, USA.ORCID https://orcid.org/0000-0001-6535-6698
Daniel J FeasterDepartment of Public Health Sciences, University of Miami Miller School of Medicine, Miami, Florida, USA.
Victoria A FryeSchool of Social Work, Columbia University, New York, New York, USA.
Elvin H GengCenter for Dissemination and Implementation, Institute for Public Health, Division of Infectious Diseases, Department of Medicine, School of Medicine, Washington University in St. Louis, St. Louis, Missouri, USA.ORCID https://orcid.org/0000-0002-0825-1424
Albert Y LiuBridge HIV, San Francisco Department of Public Health, San Francisco, California, USA.ORCID https://orcid.org/0000-0003-0320-823X
Brandon D L MarshallDepartment of Epidemiology, School of Public Health, Brown University, Providence, Rhode Island, USA.ORCID https://orcid.org/0000-0002-0134-7052
Scott D RhodesDepartment of Social Sciences and Health Policy, Wake Forest University School of Medicine, Winston-Salem, North Carolina, USA.
Patrick S SullivanSchool of Public Health, Emory University, Atlanta, Georgia, USA.ORCID https://orcid.org/0000-0002-7728-0587
Bohdan NosykCentre for Advancing Health Outcomes, Vancouver, British Columbia, Canada.ORCID https://orcid.org/0000-0003-2513-3718
localized economic modelling study group

Funding

Localized economic modeling to support implementation of the Ending the HIV Epidemic initiativeR01DA041747 · NIDA · SIMON FRASER UNIVERSITY · PI NOSYK, BOHDAN · 2016 to 2025
$5.5M
National Institutes on Drug Abuse R01DA041747NIDA NIH HHS R01 DA041747
6 · The paper itself

Abstract

introductionImproving the delivery of existing evidence-based interventions to prevent and diagnose HIV is key to Ending the HIV Epidemic in the United States. Structural barriers in the access and delivery of related health services require municipal or state-level policy changes; however, suboptimal implementation can be addressed directly through interventions designed to improve the reach, effectiveness, adoption or maintenance of available interventions. Our objective was to estimate the cost-effectiveness and potential epidemiological impact of six real-world implementation interventions designed to address these barriers and increase the scale of delivery of interventions for HIV testing and pre-exposure prophylaxis (PrEP) in three US metropolitan areas.

methodsWe used a dynamic HIV transmission model calibrated to replicate HIV microepidemics in Atlanta, Los Angeles (LA) and Miami. We identified six implementation interventions designed to improve HIV testing uptake ("Academic detailing for HIV testing," "CyBER/testing," "All About Me") and PrEP uptake/persistence ("Project SLIP," "PrEPmate," "PrEP patient navigation"). Our comparator scenario reflected a scale-up of interventions with no additional efforts to mitigate implementation and structural barriers. We accounted for potential heterogeneity in population-level effectiveness across jurisdictions. We sustained implementation interventions over a 10-year period and evaluated HIV acquisitions averted, costs, quality-adjusted life years and incremental cost-effectiveness ratios over a 20-year time horizon (2023-2042).

resultsAcross jurisdictions, implementation interventions to improve the scale of HIV testing were most cost-effective in Atlanta and LA (CyBER/testing cost-saving and All About Me cost-effective), while interventions for PrEP were most cost-effective in Miami (two of three were cost-saving). We estimated that the most impactful HIV testing intervention, CyBER/testing, was projected to avert 111 (95% credible interval: 110-111), 230 (228-233) and 101 (101-103) acquisitions over 20 years in Atlanta, LA and Miami, respectively. The most impactful implementation intervention to improve PrEP engagement, PrEPmate, averted an estimated 936 (929-943), 860 (853-867) and 2152 (2127-2178) acquisitions over 20 years, in Atlanta, LA and Miami, respectively.

conclusionsOur results highlight the potential impact of interventions to enhance the implementation of existing evidence-based interventions for the prevention and diagnosis of HIV.

Indexed as

Cost-Benefit AnalysisHIV InfectionsHomosexuality, MalePre-Exposure ProphylaxisAdultEpidemicsFloridaGeorgiaHIV TestingHumansLos AngelesMaleUnited StatesYoung Adultcost‐effectivenesseconomic evaluationHIVimplementation sciencemen who have sex with mensimulation modelling

Identifiers

PMID38965982
PMCPMC11224592

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.