Trial reportBMJ open2016
Comparing the effectiveness of a crowdsourced video and a social marketing video in promoting condom use among Chinese men who have sex with men: a study protocol.
Trial report in BMJ open, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT02516930 (Crowdsourcing Versus Social Marketing Video Campaigns to Promote Condom Use), which is not on this map. Cited by 15 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.
Crowdsourcing Versus Social Marketing Video Campaigns to Promote Condom Use: A Noninferiority Randomized Controlled Trial to Evaluate Promoting Condom Use Among MSM and Transgender Individuals in China
Who cites it
15 citing papers in PubMed, 22 citations in OpenAlex.
- Reimagining Health Communication: A Noninferiority Randomized Controlled Trial of Crowdsourced Intervention in China.Sexually transmitted diseases · 2019Trial
- A crowdsourced intervention to promote hepatitis B and C testing among men who have sex with men in China: study protocol for a nationwide online randomized controlled trial.BMC infectious diseases · 2018Trial
- Crowdsourcing to promote hepatitis C testing and linkage-to-care in China: a randomized controlled trial protocol.BMC public health · 2020Article
- Growth Trajectories of Peer Norms, Self-efficacy and Condom Use Behavior Among Sexually Active Chinese Men Who Have Sex with Men: Latent Class Analysis and Growth Mixture Modeling.AIDS and behavior · 2020Article
- A crowdsourced intervention to decrease hepatitis B stigma in men who have sex with men in China: A cohort study.Journal of viral hepatitis · 2020Article
- Crowdsourcing contests to facilitate community engagement in HIV cure research: a qualitative evaluation of facilitators and barriers of participation.BMC public health · 2020Article
- Mediation Analysis of Peer Norms, Self-Efficacy, and Condom Use Among Chinese Men Who Have Sex with Men: A Parallel Process Latent Growth Curve Model.Archives of sexual behavior · 2020Article
- Risk Behavior Not Associated with Self-Perception of PrEP Candidacy: Implications for Designing PrEP Services.AIDS and behavior · 2019Article
- Driving force of condomless sex after online intervention among Chinese men who have sex with men.BMC public health · 2019Article
- Mycoplasma Genitalium and Mycoplasma Hominis are prevalent and correlated with HIV risk in MSM: a cross-sectional study in Shenyang, China.BMC infectious diseases · 2019Article
- Identifying high risk subgroups of MSM: a latent class analysis using two samples.BMC infectious diseases · 2019Article
- Sex tourism among Chinese men who have sex with men: a cross-sectional observational study.BMC public health · 2018Observational
- The HepTestContest: a global innovation contest to identify approaches to hepatitis B and C testing.BMC infectious diseases · 2017Article
- Recent mobile health interventions to support medication adherence among HIV-positive MSM.Current opinion in HIV and AIDS · 2017Review
- Innovation contests to promote sexual health in China: a qualitative evaluation.BMC public health · 2017Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
21 authors at 5 institutions in 2 countries.
Funding
Abstract
introductionCrowdsourcing has been used to spur innovation and increase community engagement in public health programmes. Crowdsourcing is the process of giving individual tasks to a large group, often involving open contests and enabled through multisectoral partnerships. Here we describe one crowdsourced video intervention in which a video promoting condom use is produced through an open contest. The aim of this study is to determine whether a crowdsourced intervention is as effective as a social marketing intervention in promoting condom use among high-risk men who have sex with men (MSM) and transgender male-to-female (TG) in China.
methodWe evaluate videos developed by crowdsourcing and social marketing. The crowdsourcing contest involved an open call for videos. Entries were judged on capacity to promote condom use, to be shareable or 'go viral' and to give value to the individual. 1170 participants will be recruited for the randomised controlled trial. Participants need to be MSM age 16 and over who have had condomless anal sex in the last 3 months. Recruitment will be through an online banner ad on a popular MSM web page and other social media platforms. After completing an initial survey, participants will be randomly assigned to view either the social marketing video or the crowdsourcing video. Follow-up surveys will be completed at 3 weeks and 3 months after initial intervention to evaluate condomless sex and related secondary outcomes. Secondary outcomes include condom social norms, condom negotiation, condom self-efficacy, HIV/syphilis testing, frequency of sex acts and incremental cost. ETHICS AND DISSEMINATION: Approval was obtained from the ethical review boards of the Guangdong Provincial Center for Skin Diseases and STI Control, UNC and UCSF. The results of this trial will be made available through publication in peer-reviewed journals. TRIAL REGISTRATION NUMBER: NCT02516930.
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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.