A Non-inferiority Randomized Controlled Trial to Evaluate Promoting Condom Use Among MSM and Transgender Individuals in China
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
Study Overview
Status
Status
Conditions
Conditions
Intervention / Treatment
Intervention / Treatment
Detailed Description
Study Type
Study Type
Enrollment (Actual)
Enrollment
Phase
Phase
- Not Applicable
Contacts and Locations
Study Locations
-
-
Guangdong
-
Guangzhou, Guangdong, China, 510095
- UNC Project-China
-
-
Participation Criteria
Eligibility Criteria
Eligibility Criteria
Ages Eligible for Study
Accepts Healthy Volunteers
Genders Eligible for Study
Description
Inclusion Criteria:
- The target population for the condom use substudy is males, 16 years of age or older, who were born biologically male or are transgender, have had condomless sex in the past three months and are willing to provide their cell mobile number.
Exclusion Criteria:
- Females
Study Plan
How is the study designed?
Design Details
- Allocation: Randomized
- Interventional Model: Parallel Assignment
- Masking: None (Open Label)
Number of Arms
Arms and Interventions
Participant Group / ArmParticipant Group / Arm |
Intervention / TreatmentIntervention / Treatment |
|---|---|
|
Other: Crowdsourced video
One-minute crowd-sourced video promoting condom use among men who have sex with men and transgender individuals.
|
video promoting condom use
|
|
Other: Social marketing video
One-minute social marketing video promoting condom use among men who have sex with men and transgender individuals
|
What is the study measuring?
Primary Outcome Measures
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Frequency of condomless sex following the assigned video intervention (3 wk)
Time Frame: 3 weeks following the video
|
Frequency of men, defined as those who report condomless sex over the 3 week period divided by the total number of men who watched the video
|
3 weeks following the video
|
|
Frequency of condomless sex following the assigned video intervention (3 month)
Time Frame: 3 months following the video
|
Frequency of men, defined as those who report condomless sex over the 3 month period divided by the total number of men who watched the video
|
3 months following the video
|
Secondary Outcome Measures
Secondary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Incremental cost
Time Frame: 3 weeks after baseline
|
Incremental cost, defined as the cost associated with respective video interventions per individual who reported no sex or sex with a condom during the follow-up period.
|
3 weeks after baseline
|
|
Female condomless sex
Time Frame: 3 weeks and 3 months after baseline
|
Frequency of men, defined as number of men who reported condomless vaginal or anal sex with a woman divided by the total number of men who viewed the video in that arm.
|
3 weeks and 3 months after baseline
|
|
Male condomless sex
Time Frame: 3 weeks and 3 months after baseline
|
Frequency of men, defined as number of men who reported condomless anal sex with a man divided by the total number of men who viewed the video in that arm.
|
3 weeks and 3 months after baseline
|
|
Post-video condomless sex
Time Frame: 3 weeks after baseline
|
Frequency of men, defined as number of men who reported condomless vaginal or anal sex with any partner immediately following the video intervention divided by the total number of men who viewed the video in that arm
|
3 weeks after baseline
|
|
Frequency of sex acts
Time Frame: 3 weeks and 3 months after baseline
|
Frequency of men, defined as the number of men who had decreased total number of sex acts in the three weeks following the intervention compared to the three weeks immediately preceding the intervention in that arm
|
3 weeks and 3 months after baseline
|
|
Condom self-efficacy
Time Frame: 3 weeks and 3 months after baseline
|
Frequency of men, defined as number of men who had an increase in self-efficacy when comparing self-efficacy during the three weeks before baseline and the three weeks after the baseline, will measure again at 3 months and then compare baseline and three month data
|
3 weeks and 3 months after baseline
|
|
Condom use social norms
Time Frame: 3 weeks and 3 months after baseline
|
Frequency of men, defined as number of men who report higher levels of social norms when comparing their pre-intervention and post-intervention condom use norms.
|
3 weeks and 3 months after baseline
|
|
Condom use negotiation
Time Frame: 3 weeks and 3 months after baseline
|
Frequency of men, defined as the number of men who attempted to convince an unwilling partner to use a condom immediately following the video intervention divided by the total number of men who viewed the video in that arm
|
3 weeks and 3 months after baseline
|
|
HIV testing
Time Frame: 3 weeks and 3 months after baseline
|
Frequency of men, defined as the number of men who reported being tested for HIV during the interval between watching the video and following up compared to the number of men who followed up
|
3 weeks and 3 months after baseline
|
|
STI testing
Time Frame: 3 weeks and 3 months after baseline
|
Frequency of men, defined as the number of men who reported being tested for STIs (excluding HIV) during the interval between watching the video and following up compared to the number of men who followed up
|
3 weeks and 3 months after baseline
|
Collaborators and Investigators
Sponsor
Sponsor
Collaborators
Collaborators
Investigators
Investigators
- Principal Investigator: Joseph D Tucker, MD, PhD, MA, University of North Carolina
Publications and helpful links
General Publications
- Tucker JD, Wei C, Pendse R, Lo YR. HIV self-testing among key populations: an implementation science approach to evaluating self-testing. J Virus Erad. 2015 Jan;1(1):38-42.
- Han L, Bien CH, Wei C, Muessig KE, Yang M, Liu F, Yang L, Meng G, Emch ME, Tucker JD. HIV self-testing among online MSM in China: implications for expanding HIV testing among key populations. J Acquir Immune Defic Syndr. 2014 Oct 1;67(2):216-21. doi: 10.1097/QAI.0000000000000278.
- Muessig KE, Bien CH, Wei C, Lo EJ, Yang M, Tucker JD, Yang L, Meng G, Hightow-Weidman LB. 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. J Med Internet Res. 2015 Apr 21;17(4):e100. doi: 10.2196/jmir.3370.
- Best J, Tang W, Zhang Y, Han L, Liu F, Huang S, Yang B, Wei C, Tucker JD. Sexual behaviors and HIV/syphilis testing among transgender individuals in China: implications for expanding HIV testing services. Sex Transm Dis. 2015 May;42(5):281-5. doi: 10.1097/OLQ.0000000000000269.
- Bien CH, Muessig KE, Lee R, Lo EJ, Yang LG, Yang B, Peeling RW, Tucker JD. HIV and syphilis testing preferences among men who have sex with men in South China: a qualitative analysis to inform sexual health services. PLoS One. 2015 Apr 13;10(4):e0124161. doi: 10.1371/journal.pone.0124161. eCollection 2015.
- Wei C, Muessig KE, Bien C, Yang L, Meng R, Han L, Yang M, Tucker JD. Strategies for promoting HIV testing uptake: willingness to receive couple-based and collective HIV testing among a cross-sectional online sample of men who have sex with men in China. Sex Transm Infect. 2014 Sep;90(6):469-74. doi: 10.1136/sextrans-2013-051460. Epub 2014 Apr 23.
- Bien CH, Best JM, Muessig KE, Wei C, Han L, Tucker JD. Gay Apps for Seeking Sex Partners in China: Implications for MSM Sexual Health. AIDS Behav. 2015 Jun;19(6):941-6. doi: 10.1007/s10461-014-0994-6.
- Tucker JD, Muessig KE, Cui R, Bien CH, Lo EJ, Lee R, Wang K, Han L, Liu FY, Yang LG, Yang B, Larson H, Peeling RW. Organizational characteristics of HIV/syphilis testing services for men who have sex with men in South China: a social entrepreneurship analysis and implications for creating sustainable service models. BMC Infect Dis. 2014 Nov 25;14:601. doi: 10.1186/s12879-014-0601-5.
- Davis A, Best J, Luo J, Van Der Pol B, Dodge B, Meyerson B, Aalsma M, Wei C, Tucker JD; Social Entrepreneurship for Sexual Health Research Group. Differences in risk behaviours, HIV/STI testing and HIV/STI prevalence between men who have sex with men and men who have sex with both men and women in China. Int J STD AIDS. 2016 Sep;27(10):840-9. doi: 10.1177/0956462415596302. Epub 2015 Jul 15.
- Wang C, Tucker JD, Liu C, Zheng H, Tang W, Ling L. Condom use social norms and self-efficacy with different kinds of male partners among Chinese men who have sex with men: results from an online survey. BMC Public Health. 2018 Oct 16;18(1):1175. doi: 10.1186/s12889-018-6090-5.
- Liu C, Mao J, Wong T, Tang W, Tso LS, Tang S, Zhang Y, Zhang W, Qin Y, Chen Z, Ma W, Kang D, Li H, Liao M, Mollan K, Hudgens M, Bayus B, Huang S, Yang B, Wei C, Tucker JD. 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. BMJ Open. 2016 Oct 3;6(10):e010755. doi: 10.1136/bmjopen-2015-010755.
Study record dates
Study Major Dates
Study Start
Study Start
Primary Completion (Actual)
Primary Completion
Study Completion (Actual)
Study Completion
Study Registration Dates
First Submitted
First Submitted
First Submitted That Met QC Criteria
First Submitted That Met QC Criteria
First Posted (Estimate)
First Posted
Study Record Updates
Last Update Posted (Estimate)
Last Update Posted
Last Update Submitted That Met QC Criteria
Last Update Submitted That Met QC Criteria
Last Verified
Last Verified
More Information
Terms related to this study
Keywords
Additional Relevant MeSH Terms
- Pathologic Processes
- RNA Virus Infections
- Virus Diseases
- Infections
- Blood-Borne Infections
- Communicable Diseases
- Sexually Transmitted Diseases, Viral
- Lentivirus Infections
- Retroviridae Infections
- Immunologic Deficiency Syndromes
- Immune System Diseases
- Disease Attributes
- Slow Virus Diseases
- HIV Infections
- Acquired Immunodeficiency Syndrome
- Sexually Transmitted Diseases
Other Study ID Numbers
Other Study ID Numbers
- 15-1522
- 1R01AI114310-01 (U.S. NIH Grant/Contract)
This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.