ArticleAIDS care2013
Feasibility and willingness of using e-technologies for HIV prevention and research targeting Chinese MSM.
Article in AIDS care, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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.
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.
Who cites it
10 citing papers in PubMed.
- Uptake of an App-Based Case Management Service for HIV-Positive Men Who Have Sex With Men in China: Process Evaluation Study.Journal of medical Internet research · 2023Trial
- Trial
- HIV Testing Among Chinese Men Who Have Sex with Men: The Roles of HIV Knowledge, Online Social Life, and Sexual Identity Concerns.AIDS and behavior · 2020Article
- Evaluation of smartphone APP-based case-management services among antiretroviral treatment-naïve HIV-positive men who have sex with men: a randomized controlled trial protocol.BMC public health · 2020Article
- A Crowdsourced Physician Finder Prototype Platform for Men Who Have Sex with Men in China: Qualitative Study of Acceptability and Feasibility.JMIR public health and surveillance · 2019Article
- Barriers and Facilitators of Linkage to and Engagement in HIV Care Among HIV-Positive Men Who Have Sex with Men in China: A Qualitative Study.AIDS patient care and STDs · 2016Article
- Qualitative Assessment of Barriers and Facilitators of Access to HIV Testing Among Men Who Have Sex with Men in China.AIDS patient care and STDs · 2015Article
- A mixed-methods study on the acceptability of using eHealth for HIV prevention and sexual health care among men who have sex with men in China.Journal of medical Internet research · 2015Article
- Engaging Patients through Mobile Phones: Demonstrator Services, Success Factors, and Future Opportunities in Low and Middle-income Countries.Yearbook of medical informatics · 2014Article
- Development of a personalized bidirectional text messaging tool for HIV adherence assessment and intervention among substance abusers.Journal of substance abuse treatment · 2014Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
Abstract
This pilot study examines the feasibility and willingness for three types of e-technologies for HIV prevention and research among a sample of men who have sex with men (MSM) in Chengdu, China. A total of 605 self-identified MSM (200 HIV seropositive, 405 HIV-) were recruited through a community-based HIV/AIDS service organization and completed a cross-sectional survey. The majority used cell phones for voice and text (99 and 95%), 53% used email, and 83% used Tencent QQ (an instant messaging technology); 54% indicated they would participate in future research studies; and 77% provided contact information for at least one e-technology. In multivariate analyses, those who were not official city residents, those better educated, and those who were HIV seropositive were more likely to provide contact information. This research indicates that MSM in China would be likely to engage in e-technology research and studies should explore these innovative communication methods.
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Registered trials
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.