Evidence map›Paper›PMID 40465041›Full record

ArticleAIDS and behavior2025

Preferences for HIV Pre-exposure Prophylaxis among Gay, Bisexual, and Men Who Have Sex with Men in China: a Discrete Choice Experiment.

Zhengcheng Tu, Shiyi He, Rui Zhao, Warittha Tieosapjaroen, Ying Zhang, Min Zhao, Jason J Ong, Lei Zhang

Abstract read
PubMed Publisher
In one paragraph

Article in AIDS and behavior, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

8 authors.

Zhengcheng TuOlin Business School, Washington University in St. Louis, St. Louis, MO, USA.ORCID http://orcid.org/0009-0008-5170-7934
Shiyi HeChina-Australia Joint Research Center for Infectious Diseases, School of Public Health, Xi'an Jiaotong University Health Science Center, Xi'an, 710061, Shaanxi, PR China.
Rui ZhaoChina-Australia Joint Research Center for Infectious Diseases, School of Public Health, Xi'an Jiaotong University Health Science Center, Xi'an, 710061, Shaanxi, PR China.
Warittha TieosapjaroenSchool of Translational Medicine, Faculty of Medicine, Nursing and Health Sciences, Monash University, Melbourne, VIC, Australia.
Ying ZhangSchool of Translational Medicine, Faculty of Medicine, Nursing and Health Sciences, Monash University, Melbourne, VIC, Australia.
Min ZhaoChina-Australia Joint Research Center for Infectious Diseases, School of Public Health, Xi'an Jiaotong University Health Science Center, Xi'an, 710061, Shaanxi, PR China.
Jason J OngChina-Australia Joint Research Center for Infectious Diseases, School of Public Health, Xi'an Jiaotong University Health Science Center, Xi'an, 710061, Shaanxi, PR China.
Lei ZhangChina-Australia Joint Research Center for Infectious Diseases, School of Public Health, Xi'an Jiaotong University Health Science Center, Xi'an, 710061, Shaanxi, PR China. lei.zhang1@monash.edu.ORCID https://orcid.org/0000-0003-2343-084X

Funding

Epidemiology modelling and risk assessment 20200344Key Research and Development Project of Hainan Province 2022YFC2505100Key Technologies Research and Development Program of Anhui Province 2022YFC2505103Ministry of Science and Technology of the People's Republic of China 2022YFC2304900Ministry of Science and Technology of the People's Republic of China 2022YFC2505100National Science Fund for Distinguished Young Scholars 3111500001Xi'an Jiaotong University Young Scholar Support Grant YX6J004
6 · The paper itself

Abstract

Pre-exposure prophylaxis (PrEP) is highly effective in preventing HIV in gay, bisexual, and other men who have sex with men (GBMSM). This study investigates PrEP usage and preferences among Chinese GBMSM and how key attributes influence their choices using a discrete choice experiment (DCE). Six PrEP attributes were evaluated: dosing frequency, dispensing venue, side effects, effectiveness, follow-up frequency, and extra services. From January to November 2022, a face-to-face survey was conducted among 1186 GBMSM in Xi'an, China. Multi- and mixed-logit models assessed preferences and heterogeneity by demographics. Latent class analysis examined unobserved preference patterns, and scenario analysis explored how changes in attributes affect PrEP acceptance. Among 995 valid participants (mean age 34 ± 9 years), 20.5% had ever used PrEP. The most influential attribute was dosing frequency, followed by side effects and follow-up frequency. Participants preferred on-demand PrEP, private dispensing venues, minimal side effects, at least 60% effectiveness, follow-up every 3 months, and comprehensive STI testing. Preferences varied by age, education, and income. Latent class analysis indicated 57.04% of participants preferred on-demand PrEP, STD/social health clinics, very low-risk kidney complications, 80% effectiveness, 3-month follow-up, and no extra services. Scenario analysis showed on-demand PrEP and 80% effectiveness would increase acceptance by 73.6% and 43.2%, respectively, compared to daily oral PrEP and 30% effectiveness. Conversely, switching from daily oral pills to bi-monthly injections decreased acceptance by 48.2%. Dosing frequency is the most influential attribute for HIV PrEP among Chinese GBMSM. Preferences vary by demographics, and reduced dosing and improved effectiveness may substantially boost uptake.

Indexed as

Anti-HIV AgentsChoice BehaviorHIV InfectionsHomosexuality, MalePatient PreferencePre-Exposure ProphylaxisSexual and Gender MinoritiesAdultChinaHumansMaleMiddle AgedSurveys and QuestionnairesYoung AdultAnti-HIV AgentsDiscrete choice experimentGBMSMHIVPre-exposure prophylaxisPreference

Identifiers

PMID40465041

What OpenQuestion holds

Textmetadata
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.