Evidence map›Paper›PMID 30430341›Full record

ArticleAIDS and behavior2019

Network Modeling of PrEP Uptake on Referral Networks and Health Venue Utilization Among Young Men Who Have Sex with Men.

Kayo Fujimoto, Peng Wang, Charlene A Flash, Lisa M Kuhns, Yucheng Zhao, Muhammad Amith, John A Schneider

Open access · greenAbstract read
In one paragraph

Article in AIDS and behavior, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 1 pooled it
1.3field-weighted citation impact, top 20% of its field
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

10 citing papers in PubMed, 1 synthesis or guideline pooled it, 16 citations in OpenAlex.

  1. Pooled it
  2. Trial
  3. Trial
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. 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

7 authors at 5 institutions in 2 countries.

Kayo FujimotoDepartment of Health Promotion and Behavioral Sciences, Center for Health Promotion and Prevention Research, The University of Texas Health Science Center at Houston, 7000 Fannin Street, UCT 2514, Houston, TX, 77030-5401, USA. kayo.fujimoto@uth.tmc.edu.
Peng WangFaculty of Business and Law, Centre for Transformative Innovation, Swinburne University of Technology, Hawthorn, VIC, Australia.
Charlene A FlashDivision of Infectious Diseases, Department of Medicine, Baylor College of Medicine, 1 Baylor Plaza, BCM 285, Houston, TX, 77030, USA.
Lisa M KuhnsDivision of Adolescent Medicine, Department of Pediatrics, Feinberg School of Medicine, Ann & Robert H. Lurie Children's Hospital, and Northwestern University, 225 E. Chicago Avenue, #161, Chicago, IL, 60611, USA.
Yucheng ZhaoDepartment of Biostatistics and Data Science, School of Public Health, The University of Texas Health Science Center at Houston, 7000 Fannin Street, UCT 2514, Houston, TX, 77030-5401, USA.
Muhammad AmithSchool of Biomedical Informatics, The University of Texas Health Science Center at Houston, 7000 Fannin St Suite 600, Houston, TX, 77030, USA.
John A SchneiderDepartments of Medicine and Public Health Sciences and the Chicago Center for HIV Elimination, University of Chicago, 5837 South Maryland Avenue MC 5065, Chicago, IL, 60637, USA.
The University of Texas Health Science Center at Houston · USBaylor College of Medicine · USChicago Department of Public Health · USLurie Children's Hospital · USSwinburne University of Technology · AU

Funding

HIV intervention models for criminal justice involved substance-using Black MSMR01DA039934 · NIDA · UNIVERSITY OF CHICAGO · PI FUJIMOTO, KAYO, HARAWA, NINA THAWATA · 2015 to 2019
$3.6M
YMAP: Young Men's Affiliation Project of HIV Risk and Prevention VenueR01MH100021 · NIMH · UNIVERSITY OF TEXAS HLTH SCI CTR HOUSTON · PI FUJIMOTO, KAYO, SCHNEIDER, JOHN · 2013 to 2017
$3.0M
Developing an Implementation Program to Optimize Uptake of HIV Pre-Exposure Prophylaxis among Black Women in Primary Care SettingsK23MH109358 · NIMH · BAYLOR COLLEGE OF MEDICINE · PI FLASH, CHARLENE A · 2015 to 2017
$527k
Cancer Prevention and Research Institute of Texas RP160015Gilead Sciences IN-US-276-D120National Institute of Mental Health (US) K23MH109358NIDA NIH HHS 1R01DA039934NIDA NIH HHS R01 DA039934NIMH NIH HHS 1R01MH100021NIMH NIH HHS K23 MH109358NIMH NIH HHS R01 MH100021
6 · The paper itself

Abstract

The objective of this study is to identify individual-level factors and health venue utilization patterns associated with uptake of pre-exposure prophylaxis (PrEP) and to evaluate whether PrEP uptake behavior is further diffused among young men who have sex with men (YMSM) through health venue referral networks. A sample of 543 HIV-seronegative YMSM aged 16-29 were recruited in 2014-2016 in Chicago, IL, and Houston, TX. Stochastic social network models were estimated to model PrEP uptake. PrEP uptake was associated with more utilization of health venues in Houston and higher levels of sexual risk behavior in Chicago. In Houston, both Hispanic and Black YMSM compared to White YMSM were less likely to take PrEP. No evidence was found to support the spread of PrEP uptake via referral networks, which highlights the need for more effective PrEP referral network systems to scale up PrEP implementation among at-risk YMSM.

Indexed as

Pre-Exposure ProphylaxisAdolescentAdultHealth Knowledge, Attitudes, PracticeHealth SurveysHIV InfectionsHomosexuality, MaleHumansMalePatient Acceptance of Health CareReferral and ConsultationUnited StatesYoung AdultAuto-logistic actor attribute modelsExponential random graph modelsHealth care delivery systemPrEPSocial network analysisSystems science methodologyYoung men who have sex with men

Identifiers

PMID30430341
PMCPMC13002283
OpenAlexW2901382755

What OpenQuestion holds

Textmetadata
LicenceTDM
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.