The HOPE social media intervention for global HIV prevention in Peru: A cluster randomised controlled trial

The Lancet HIV

Volumn 2, Issue 1, 2015, Pages e27-e32

  Young, Sean D ^a   Cumberland, William G ^b   Nianogo, Roch ^b   Menacho, Luis A ^c   Galea, Jerome T ^d   Coates, Thomas ^e  

^a UNIVERSITY OF CALIFORNIA   (United States)

^b UNIVERSITY OF CALIFORNIA   (United States)

^c UNIVERSIDAD PERUANA CAYETANO HEREDIA   (Peru)

^d Epicentro Gay Mens Community Center   (Peru)

^e UNIVERSITY OF CALIFORNIA   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ADULT; ANILINGUS; ARTICLE; CONTROLLED STUDY; ENZYME LINKED IMMUNOSORBENT ASSAY; FEMALE; FOLLOW UP; HEALTH CARE PRACTICE; HEALTH SERVICE; HEALTH SURVEY; HIV TEST; HUMAN; HUMAN IMMUNODEFICIENCY VIRUS INFECTION; IMMUNOFLUORESCENCE TEST; INTERNET; MAJOR CLINICAL STUDY; MALE; MASKING; MEN WHO HAVE SEX WITH MEN; PERU; PRIORITY JOURNAL; QUESTIONNAIRE; RANDOMIZATION; RANDOMIZED CONTROLLED TRIAL; RISK BEHAVIOR; SEXUAL HEALTH; SOCIAL MEDIA; TRAINING; WESTERN BLOTTING; HEALTH; HIV INFECTIONS; MALE HOMOSEXUALITY; MENTOR; MIDDLE AGED; OUTPATIENT DEPARTMENT; SOCIAL LEARNING; TECHNOLOGY; YOUNG ADULT;

ADULT; AMBULATORY CARE FACILITIES; GLOBAL HEALTH; HIV INFECTIONS; HOMOSEXUALITY, MALE; HUMANS; MALE; MENTORS; MIDDLE AGED; PERU; SOCIAL LEARNING; SOCIAL MEDIA; TECHNOLOGY; YOUNG ADULT;

EID: 84922031979     PISSN: None     EISSN: 23523018     Source Type: Journal    
DOI: 10.1016/S2352-3018(14)00006-X     Document Type: Article

References (31)

1. UNAIDS. 2013 Global Summary of the AIDS Epidemic. http:// www.unaids.org/en/media/unaids/contentassets/documents/ epidemiology/2013/gr2013/201309_epi_core_en.pdf (accessed May 28, 2014).
2. Beyrer C, Baral SD, van Griensven F, et al. Global epidemiology of HIV infection in men who have sex with men. Lancet 2012; 380: 367-77.
3. Piot P, Quinn TC. Response to the AIDS pandemic-a global health model. N Engl J Med 2013; 368: 2210-18.
4. Jaffe HW, Valdiserri RO, De Cock KM. The reemerging hiv/aids epidemic in men who have sex with men. JAMA 2007; 298: 2412-14.
5. César P Cárcamo PEC. Prevalences of sexually transmitted infections in young adults and female sex workers in Peru: a national population-based survey. Lancet Infect Dis 2012; 12: 765-73.
6. UNAIDS. UNAIDS 2010 Report on the Global AIDS Epidemic. http://www.unaids.org/globalreport/documents/20101123_ GlobalReport_full_en.pdf (accessed May 28, 2014).
7. UNGASS. 2012 Country Progress Report: Peru. http://www.unaids. org/en/dataanalysis/knowyourresponse/countryprogressreports/2012 countries/ce:PE_Narrative_Report.pdf (accessed May 28, 2014).
8. Marks G, Crepaz N, Janssen RS. Estimating sexual transmission of HIV from persons aware and unaware that they are infected with the virus in the USA. AIDS 2006; 20: 447-50.
9. Andre M, Susan K, Percy F, et al. Implementation and Evaluation of an HIV/STD Intervention in Peru. Eval Program Plann 2007; 30: 82-93.
10. Rogers EM. Diffusion of Innovations, 4th edn. New York: Free Press, 1995. p 518.
11. Kelly JA, Murphy DA, Sikkema KJ, et al. Randomised, controlled, community-level HIV-prevention intervention for sexual-risk behaviour among homosexual men in US cities. Community HIV Prevention Research Collaborative. Lancet 1997; 350: 1500-05.
12. St Lawrence JS, Brasfield TL, Diaz YE, Jefferson KW, Reynolds MT, Leonard MO. Three-year follow-up of an HIV risk-reduction intervention that used popular peers. Am J Public Health 1994; 84: 2027-28.
13. Kalichman SC, Benotsch EG, Weinhardt L, Austin J, Luke W, Cherry C. Health-related Internet use, coping, social support, and health indicators in people living with HIV/AIDS: preliminary results from a community survey. Health Psychol 2003; 22: 111-16.
14. Bull S, Pratte K, Whitesell N, Rietmeijer C, McFarlane M. Effects of an Internet-based intervention for HIV prevention: the Youthnet trials. AIDS Behav 2009; 13: 474-87.
15. Bowen AM, Williams ML, Daniel CM, Clayton S. Internet based HIV prevention research targeting rural MSM: feasibility, acceptability, and preliminary effi cacy. J Behav Med 2008; 31: 463-77.
16. Benotsch EG, Kalichman S, Cage M. Men who have met sex partners via the Internet: prevalence, predictors, and implications for HIV prevention. Arch Sex Behav 2002; 31: 177-83.
17. Pequegnat W, Rosser BRS, Bowen AM, et al. Conducting Internet-based HIV/STD prevention survey research: considerations in design and evaluation. AIDS Behav 2007; 11: 505-21.
18. Tashima KT, Alt EN, Harwell JI, Fiebich-Perez DK, Flanigan TP. Internet sex-seeking leads to acute HIV infection: a report of two cases. Int J STD AIDS 2003; 14: 285-86.
19. Lancaster H. Peru-mobile market-insights, statistics and forecasts, 2014. http://www.budde.com.au/Research/Peru-Mobile-Market- Insights-Statistics-and-Forecasts.html (accessed Sept 16, 2014).
20. Jaganath D, Gill HK, Cohen AC, Young SD. Harnessing Online Peer Education (HOPE): integrating C-POL and social media to train peer leaders in HIV prevention. AIDS Care 2012; 24: 593-600.
21. Young SD. Recommended guidelines on using social networking technologies for HIV prevention research. AIDS Behav 2012; 16: 1743-45.
22. Young SD, Cumberland WG, Lee S-J, Jaganath D, Szekeres G, Coates T. Social networking technologies as an emerging tool for HIV prevention: a cluster randomized trial. Ann Intern Med 2013; 159: 318-24.
23. Young SD, Jordan AH. The infl uence of social networking photos on social norms and sexual health behaviors. Cyberpsychology Behav Soc Netw 2013; 16: 243-47.
24. Young SD, Nussbaum AD, Monin B. Potential moral stigma and reactions to sexually transmitted diseases: evidence for a disjunction fallacy. Pers Soc Psychol Bull 2007; 33: 789-99.
25. Young SD, Jaganath D. Online social networking for HIV education and prevention: a mixed-methods analysis. Sex Transm Dis 2013; 40: 162-67.
26. Young SD, Szekeres G, Coates T. The relationship between online social networking and sexual risk behaviors among men who have sex with men (MSM). PLoS One 2013; 8: e62271.
27. Iguchi MY, Ober AJ, Berry SH, et al. Simultaneous recruitment of drug users and men who have sex with men in the United States and Russia using respondent-driven sampling: sampling methods and implications. J Urban Health 2009; 86: 5-31.
28. eMarketer. Social networking reaches nearly one in four around the world, 2013. http://www.emarketer.com/Article/Social- Networking-Reaches-Nearly-One-Four-Around-World/1009976 (accessed May 28, 2014).
29. Smith A. Mobile access 2010]. Pew Research Center's Internet & American Life Project, 2010. http://www.pewinternet. org/2010/07/07/mobile-access-2010/ (accessed May 28, 2014).
30. Forsyth AD, Valdiserri RO. Reaping the prevention benefi ts of highly active antiretroviral treatment: policy implications of HIV Prevention Trials Network 052. Curr Opin HIV AIDS 2012; 7: 111-16.
31. Gardner EM, McLees MP, Steiner JF, Rio C del, Burman WJ. The spectrum of engagement in HIV care and its relevance to test-and-treat strategies for prevention of HIV infection. Clin Infect Dis 2011; 52: 793-800.