Developing a Video-Based eHealth Intervention for HIV-Positive Gay, Bisexual, and Other Men Who Have Sex with Men: Study Protocol for a Randomized Controlled Trial

Sabina Hirshfield, Martin J Downing Jr, Jeffrey T Parsons, Christian Grov, Rachel J Gordon, Steven T Houang, Roberta Scheinmann, Patrick S Sullivan, Irene S Yoon, Ian Anderson, Mary Ann Chiasson, Sabina Hirshfield, Martin J Downing Jr, Jeffrey T Parsons, Christian Grov, Rachel J Gordon, Steven T Houang, Roberta Scheinmann, Patrick S Sullivan, Irene S Yoon, Ian Anderson, Mary Ann Chiasson

Abstract

Background: Gay, bisexual, and other men who have sex with men (GBMSM) accounted for 67% of new US human immunodeficiency virus (HIV) infections in 2012; however, less than 40% of HIV-positive GBMSM are virally suppressed. Preventing transmission from virally unsuppressed men who have condomless anal sex (CAS) with serodiscordant partners is a public health imperative. New HIV infections in GBMSM are attributed in part to online access to sex partners; therefore, low-cost eHealth interventions are a unique opportunity to reach men where they meet partners.

Objective: To describe the protocol of a randomized controlled trial evaluating whether video-based messaging delivered online may lead to reductions in serodiscordant CAS and increased HIV disclosure.

Methods: Sex Positive!([+]) is a two-arm, phase III, video-based randomized controlled trial delivered online to GBMSM living with HIV. Participants in the intervention arm receive 10 video vignettes grounded in social learning and social cognitive theories that are designed to elicit critical thinking around issues of HIV transmission and disclosure. Participants in the attention control arm receive 10 video vignettes that focus on healthy living. All videos are optimized for mobile viewing. The study protocol includes five online assessments conducted over a 1-year period among 1500 US white, black, or Hispanic/Latino GBMSM living with HIV who report suboptimal antiretroviral therapy (ART) adherence or a detectable viral load in the past 12 months and recent CAS (past 6 months) with HIV-negative or unknown status male partners. Compared to the control arm, we hypothesize that men who watch the intervention videos will report at 12-month follow-up significantly fewer serodiscordant CAS partners, increased HIV disclosure, and improved social cognition (eg, condom use self-efficacy, perceived responsibility).

Results: Participant recruitment began in June 2015 and ended in December 2015.

Conclusions: This protocol describes the underlying theoretical framework and measures, study design, recruitment challenges, and antifraud measures for an online, video-based randomized controlled trial that has the potential to decrease HIV transmission risk behaviors among HIV-positive GBMSM who struggle with ART adherence. The Sex Positive!([+]) intervention allows for participation through multiple Internet-based mediums and has the potential to reach and engage a broader population of HIV-positive GBMSM who are virally unsuppressed.

Clinicaltrial: ClinicalTrials.gov NCT02023580; https://ichgcp.net/clinical-trials-registry/NCT02023580 (Archived by WebCite at http://www.webcitation.org/6iHzA8wRG).

Keywords: GBMSM; HIV disclosure; HIV prevention; eHealth interventions; randomized controlled trial; videos.

Conflict of interest statement

Conflicts of Interest: None declared.

Figures

Figure 1
Figure 1
Study incentive structure.

References

    1. Centers for Disease Control and Prevention. 2014. [2016-05-26]. HIV Surveillance Report, 2012 .
    1. Kilmarx PH, Mermin J. Prevention with people with HIV in the United States: the nexus of HIV prevention and treatment. J Acquir Immune Defic Syndr. 2012 Jul 1;60(3):219–220. doi: 10.1097/QAI.0b013e3182531ba2.
    1. Centers for Disease Control and Prevention. 2015. [2016-05-26]. Compendium of evidence-based interventions and best practices for HIV prevention .
    1. Singh S, Bradley H, Hu X, Skarbinski J, Hall HI, Lansky A, Centers for Disease Control and Prevention (CDC) Men living with diagnosed HIV who have sex with men: progress along the continuum of HIV care--United States, 2010. MMWR Morb Mortal Wkly Rep. 2014 Sep 26;63(38):829–833.
    1. Hall HI, Holtgrave DR, Tang T, Rhodes P. HIV transmission in the United States: considerations of viral load, risk behavior, and health disparities. AIDS Behav. 2013 Jun;17(5):1632–1636. doi: 10.1007/s10461-013-0426-z.
    1. Centers for Disease Control and Prevention HIV Surveillance Report: Diagnoses of HIV Infection in the United States and Dependent Areas, 2014. 2015. Nov, [2016-05-26]. .
    1. Gant Z, Bradley H, Hu X, Skarbinski J, Hall HI, Lansky A, Centers for Disease Control and Prevention (CDC) Hispanics or Latinos living with diagnosed HIV: progress along the continuum of HIV care - United States, 2010. MMWR Morb Mortal Wkly Rep. 2014 Oct 10;63(40):886–890.
    1. Whiteside YO, Cohen SM, Bradley H, Skarbinski J, Hall HI, Lansky A, Centers for Disease Control and Prevention Progress along the continuum of HIV care among blacks with diagnosed HIV- United States, 2010. MMWR Morb Mortal Wkly Rep. 2014 Feb 7;63(5):85–89.
    1. The White House Office of National AIDS Policy National HIV/AIDS Strategy for the United States: Updated to 2020. 2015. Jul, [2016-05-26]. .
    1. Beymer MR, Weiss RE, Bolan RK, Rudy ET, Bourque LB, Rodriguez JP, Morisky DE. Sex on demand: geosocial networking phone apps and risk of sexually transmitted infections among a cross-sectional sample of men who have sex with men in Los Angeles County. Sex Transm Infect. 2014 Nov;90(7):567–72. doi: 10.1136/sextrans-2013-051494.
    1. Rendina HJ, Jimenez RH, Grov C, Ventuneac A, Parsons JT. Patterns of lifetime and recent HIV testing among men who have sex with men in New York City who use Grindr. AIDS Behav. 2014 Jan;18(1):41–49. doi: 10.1007/s10461-013-0573-2.
    1. Chiasson MA, Parsons JT, Tesoriero JM, Carballo-Dieguez A, Hirshfield S, Remien RH. HIV behavioral research online. J Urban Health. 2006 Jan;83(1):73–85. doi: 10.1007/s11524-005-9008-3.
    1. Rosser BR, Oakes JM, Horvath KJ, Konstan JA, Danilenko GP, Peterson JL. HIV sexual risk behavior by men who use the Internet to seek sex with men: results of the Men's INTernet Sex Study-II (MINTS-II) AIDS Behav. 2009 Jun;13(3):488–498. doi: 10.1007/s10461-009-9524-3.
    1. Wolitski RJ, Gómez CA, Parsons JT. Effects of a peer-led behavioral intervention to reduce HIV transmission and promote serostatus disclosure among HIV-seropositive gay and bisexual men. AIDS. 2005 Apr;19 Suppl 1:S99–S109.
    1. Grov C, Breslow AS, Newcomb ME, Rosenberger JG, Bauermeister JA. Gay and bisexual men's use of the Internet: research from the 1990s through 2013. J Sex Res. 2014;51(4):390–409. doi: 10.1080/00224499.2013.871626.
    1. Duggan M. Pew Research Center. 2013. Sep 19, [2016-05-26]. Cell phone activities 2013
    1. Grov C, Ventuneac A, Rendina HJ, Jimenez RH, Parsons JT. Perceived importance of five different health issues for gay and bisexual men: implications for new directions in health education and prevention. Am J Mens Health. 2013 Jul;7(4):274–284. doi: 10.1177/1557988312463419.
    1. Hirshfield S, Chiasson MA, Joseph H, Scheinmann R, Johnson WD, Remien RH, Shuchat-Shaw F, Emmons R, Yu G, Margolis AD. An online randomized controlled trial evaluating HIV prevention digital media interventions for men who have sex with men. PLoS One. 2012;7(10):e46252. doi: 10.1371/journal.pone.0046252.
    1. Chiasson MA, Shaw FS, Humberstone M, Hirshfield S, Hartel D. Increased HIV disclosure three months after an online video intervention for men who have sex with men (MSM) AIDS Care. 2009 Sep;21(9):1081–1089. doi: 10.1080/09540120902730013.
    1. Rosser BR, Horvath KJ, Hatfield LA, Peterson JL, Jacoby S, Stately A. Predictors of HIV disclosure to secondary partners and sexual risk behavior among a high-risk sample of HIV-positive MSM: results from six epicenters in the US. AIDS Care. 2008 Sep;20(8):925–930. doi: 10.1080/09540120701767265.
    1. US Census Bureau . The Black Alone or in Combination Population in the United States: 2012. Washington, DC: Government Printing Office; 2012. [2016-05-26]. .
    1. Sullivan PS, Khosropour CM, Luisi N, Amsden M, Coggia T, Wingood GM, DiClemente RJ. Bias in online recruitment and retention of racial and ethnic minority men who have sex with men. J Med Internet Res. 2011;13(2):e38. doi: 10.2196/jmir.1797.
    1. Hooper S, Rosser BR, Horvath KJ, Oakes JM, Danilenko G, Men's INTernet Sex II (MINTS-II) Team An online needs assessment of a virtual community: what men who use the internet to seek sex with men want in Internet-based HIV prevention. AIDS Behav. 2008 Nov;12(6):867–875. doi: 10.1007/s10461-008-9373-5.
    1. Bauermeister JA, Pingel ES, Jadwin-Cakmak L, Harper GW, Horvath K, Weiss G, Dittus P. Acceptability and preliminary efficacy of a tailored online HIV/STI testing intervention for young men who have sex with men: the Get Connected! Program. AIDS Behav. 2015 Feb 1; doi: 10.1007/s10461-015-1009-y.
    1. Sun CJ, Stowers J, Miller C, Bachmann LH, Rhodes SD. Acceptability and feasibility of using established geosocial and sexual networking mobile applications to promote HIV and STD testing among men who have sex with men. AIDS Behav. 2015 Mar;19(3):543–552. doi: 10.1007/s10461-014-0942-5.
    1. Card JJ, Kuhn T, Solomon J, Benner TA, Wingood GM, DiClemente RJ. Translating an effective group-based HIV prevention program to a program delivered primarily by a computer: methods and outcomes. AIDS Educ Prev. 2011 Apr;23(2):159–174. doi: 10.1521/aeap.2011.23.2.159.
    1. Lewis MA, Uhrig JD, Bann CM, Harris JL, Furberg RD, Coomes C, Kuhns LM. Tailored text messaging intervention for HIV adherence: a proof-of-concept study. Health Psychol. 2013 Mar;32(3):248–253. doi: 10.1037/a0028109.
    1. Simoni JM, Kutner BA, Horvath KJ. Opportunities and challenges of digital technology for HIV treatment and prevention. Curr HIV/AIDS Rep. 2015 Sep 28; doi: 10.1007/s11904-015-0289-1.
    1. Pellowski JA, Kalichman SC. Recent advances (2011-2012) in technology-delivered interventions for people living with HIV. Curr HIV/AIDS Rep. 2012 Dec;9(4):326–334. doi: 10.1007/s11904-012-0133-9.
    1. Horvath KJ, Oakes JM, Rosser BR, Danilenko G, Vezina H, Amico KR, Williams ML, Simoni J. Feasibility, acceptability and preliminary efficacy of an online peer-to-peer social support ART adherence intervention. AIDS Behav. 2013 Jul;17(6):2031–2044. doi: 10.1007/s10461-013-0469-1.
    1. Hightow-Weidman LB, Muessig KE, Bauermeister J, Zhang C, LeGrand S. Youth, technology, and HIV: recent advances and future directions. Curr HIV/AIDS Rep. 2015 Dec;12(4):500–515. doi: 10.1007/s11904-015-0280-x.
    1. Gamage DG, Sidat M, Read T, Cummings R, Bradshaw CS, Howley K, Fehler G, Sze JK, Chen M, Fairley CK. Evaluation of Health Map: a patient-centred web-based service for supporting HIV-infected patients. Sex Health. 2011 Jun;8(2):194–198. doi: 10.1071/SH10072.
    1. Harris LT, Lehavot K, Huh D, Yard S, Andrasik MP, Dunbar PJ, Simoni JM. Two-way text messaging for health behavior change among human immunodeficiency virus-positive individuals. Telemed J E Health. 2010 Dec;16(10):1024–1029. doi: 10.1089/tmj.2010.0050.
    1. Bachmann LH, Grimley DM, Gao H, Aban I, Chen H, Raper JL, Saag MS, Rhodes SD, Hook EW. Impact of a computer-assisted, provider-delivered intervention on sexual risk behaviors in HIV-positive men who have sex with men (MSM) in a primary care setting. AIDS Educ Prev. 2013 Apr;25(2):87–101. doi: 10.1521/aeap.2013.25.2.87.
    1. Miranda J, Côté J, Godin G, Blais M, Otis J, Guéhéneuc YG, Fadel G, Barton L, Fowler S. An internet-based intervention (Condom-Him) to increase condom use among HIV-positive men who have sex with men: protocol for a randomized controlled trial. JMIR Res Protoc. 2013;2(2):e39. doi: 10.2196/resprot.2723.
    1. Marseille E, Shade SB, Myers J, Morin S. The cost-effectiveness of HIV prevention interventions for HIV-infected patients seen in clinical settings. J Acquir Immune Defic Syndr. 2011 Mar 1;56(3):e87–e94. doi: 10.1097/QAI.0b013e318204123e.
    1. Lee MB, Leibowitz A, Rotheram-Borus MJ. Cost-effectiveness of a behavioral intervention for seropositive youth. AIDS Educ Prev. 2005 Apr;17(2):105–118. doi: 10.1521/aeap.17.3.105.62906.
    1. Cohen DA, Wu S, Farley TA. Comparing the cost-effectiveness of HIV prevention interventions. J Acquir Immune Defic Syndr. 2004 Nov 1;37(3):1404–1414.
    1. Claborn KR, Fernandez A, Wray T, Ramsey S. Computer-based HIV adherence promotion interventions: a systematic review: Translation Behavioral Medicine. Transl Behav Med. 2015 Sep;5(3):294–306. doi: 10.1007/s13142-015-0317-0.
    1. Muessig KE, Nekkanti M, Bauermeister J, Bull S, Hightow-Weidman LB. A systematic review of recent smartphone, internet and Web 2.0 interventions to address the HIV continuum of care. Curr HIV/AIDS Rep. 2015 Jan 28; doi: 10.1007/s11904-014-0239-3.
    1. Hirshfield S, Grov C, Parsons JT, Anderson I, Chiasson MA. Social media use and HIV transmission risk behavior among ethnically diverse HIV-positive gay men: results of an online study in three U.S. states. Arch Sex Behav. 2015 Oct;44(7):1969–1978. doi: 10.1007/s10508-015-0513-5.
    1. Crepaz N, Lyles CM, Wolitski RJ, Passin WF, Rama SM, Herbst JH, Purcell DW, Malow RM, Stall R, HIV/AIDS Prevention Research Synthesis (PRS) Team Do prevention interventions reduce HIV risk behaviours among people living with HIV? A meta-analytic review of controlled trials. AIDS. 2006 Jan 9;20(2):143–157. doi: 10.1097/01.aids.0000196166.48518.a0.
    1. US Department of Health and Human Services, Office for Human Research Protections. 2009. Jan 15, [2016-05-26]. 45 CFR 46: Protection of human subjects: documentation of informed consent
    1. Mayer KH, Wang L, Koblin B, Mao C, Mannheimer S, Magnus M. An evolving concentrated epidemic: comparison of newly diagnosed, previously diagnosed and HIV-uninfected black men who have sex with men in 6 US cities. International AIDS Conference; July 22-27, 2012; Washington, DC. 2012.
    1. Velasquez MM, von Sternberg K, Johnson DH, Green C, Carbonari JP, Parsons JT. Reducing sexual risk behaviors and alcohol use among HIV-positive men who have sex with men: a randomized clinical trial. J Consult Clin Psychol. 2009 Aug;77(4):657–667. doi: 10.1037/a0015519.
    1. Hirshfield S, Remien RH, Chiasson MA. Crystal methamphetamine use among men who have sex with men: results from two national online studies. J Gay Lesbian Psychotherapy. 2006 Aug 14;10(3-4):85–93. doi: 10.1300/J236v10n03_08.
    1. Salomon EA, Mimiaga MJ, Husnik MJ, Welles SL, Manseau MW, Montenegro AB, Safren SA, Koblin BA, Chesney MA, Mayer KH. Depressive symptoms, utilization of mental health care, substance use and sexual risk among young men who have sex with men in EXPLORE: implications for age-specific interventions. AIDS Behav. 2009 Aug;13(4):811–821. doi: 10.1007/s10461-008-9439-4.
    1. Rabkin JG. HIV and depression: 2008 review and update. Curr HIV/AIDS Rep. 2008 Nov;5(4):163–171.
    1. Leserman J. Role of depression, stress, and trauma in HIV disease progression. Psychosom Med. 2008 Jun;70(5):539–545. doi: 10.1097/PSY.0b013e3181777a5f.
    1. Parsons JT, Huszti HC, Crudder SO, Rich L, Mendoza J. Maintenance of safer sexual behaviours: evaluation of a theory-based intervention for HIV seropositive men with haemophilia and their female partners. Haemophilia. 2000 May;6(3):181–190.
    1. Grov C, Parsons JT, Bimbi DS. Sexual compulsivity and sexual risk in gay and bisexual men. Arch Sex Behav. 2010 Aug;39(4):940–949. doi: 10.1007/s10508-009-9483-9.
    1. Benoit E, Downing MJ Jr. Childhood sexual experiences among substance-using non-gay identified Black men who have sex with men and women. Child Abuse Negl. 2013 Sep;37(9):679–690. doi: 10.1016/j.chiabu.2013.04.007.
    1. Mimiaga MJ, Noonan E, Donnell D, Safren SA, Koenen KC, Gortmaker S, O'Cleirigh C, Chesney MA, Coates TJ, Koblin BA, Mayer KH. Childhood sexual abuse is highly associated with HIV risk-taking behavior and infection among MSM in the EXPLORE Study. J Acquir Immune Defic Syndr. 2009 Jul 1;51(3):340–348. doi: 10.1097/QAI.0b013e3181a24b38.
    1. Welles SL, Baker AC, Miner MH, Brennan DJ, Jacoby S, Rosser BR. History of childhood sexual abuse and unsafe anal intercourse in a 6-city study of HIV-positive men who have sex with men. Am J Public Health. 2009 Jun;99(6):1079–1086. doi: 10.2105/AJPH.2007.133280.
    1. Tarnowski KJ, Simonian SJ. Assessing treatment acceptance: the Abbreviated Acceptability Rating Profile. J Behav Ther Exp Psychiatry. 1992 Jun;23(2):101–106.
    1. Chiasson MA, Hirshfield S, Rietmeijer CA. HIV prevention and care in the digital age. J Acquir Immune Defic Syndr. 2010 Dec;55 Suppl 2:S94–S97. doi: 10.1097/QAI.0b013e3181fcb878.
    1. Blas MM, Alva IE, Carcamo CP, Cabello R, Goodreau SM, Kimball AM, Kurth AE. Effect of an online video-based intervention to increase HIV testing in men who have sex with men in Peru. PLoS One. 2010;5(5):e10448. doi: 10.1371/journal.pone.0010448.
    1. Rosser BR, Hatfield LA, Miner MH, Ghiselli ME, Lee BR, Welles SL, Positive Connections Team Effects of a behavioral intervention to reduce serodiscordant unsafe sex among HIV positive men who have sex with men: the Positive Connections randomized controlled trial study. J Behav Med. 2010 Apr;33(2):147–158. doi: 10.1007/s10865-009-9244-1.
    1. Bandura A. Social Learning Theory. Englewood Cliffs, NJ: Prentice Hall; 1977.
    1. Bandura A. Social Foundations of Thought and Action: A Social Cognitive Theory. Englewood Cliffs, NJ: Prentice-Hall; 1986.
    1. HIV Big Deal. 2011. [2016-05-26].
    1. Guse K, Levine D, Martins S, Lira A, Gaarde J, Westmorland W, Gilliam M. Interventions using new digital media to improve adolescent sexual health: a systematic review. J Adolesc Health. 2012 Dec;51(6):535–543. doi: 10.1016/j.jadohealth.2012.03.014.
    1. Noar SM, Black HG, Pierce LB. Efficacy of computer technology-based HIV prevention interventions: a meta-analysis. AIDS. 2009 Jan 2;23(1):107–115. doi: 10.1097/QAD.0b013e32831c5500.
    1. Collins A. Design issues for learning environments. In: Vosniadou S, De Corte E, Glaser R, Mandl H, editors. International Perspectives on the Design of Technology-Supported Learning Environments. Mahwah, NJ: L Erlbaum Associates; 1996. pp. 347–362.
    1. Bransford J, Sherwood R, Hasselbring T, Kinzer C, Williams S. Anchored instruction: why we need it and how technology can help. In: Nix D, Spiro R, editors. Cognition, Education, and Multimedia: Exploring Ideas in High Technology. Hillsdale, NJ: L Erlbaum Associates; 1990. pp. 115–141.
    1. Jonassen D, Howland J, Moore J, Marra R. Learning to Solve Problems with Technology: A Constructivist Perspective. 2nd Ed. Upper Saddle River, NJ: Merrill Prentice-Hall; 2003.
    1. Resnick LB. The 1987 presidential address: learning in school and out. Educ Researcher. 1987 Dec 01;16(9):13–54. doi: 10.3102/0013189X016009013.
    1. Allport G. Attitudes. In: Murchison C, editor. Handbook of Social Psychology. Worchester: Clark University Press; 1935. pp. 798–844.
    1. Jonassen DH, Hernandez-Serrano J. Case-based reasoning and instructional design: using stories to support problem solving. Educ Technol Res Dev. 2002 Jun;50(2):65–77. doi: 10.1007/BF02504994.
    1. Chiasson MA, Shuchat-Shaw F, Humberstone M. The Morning After. New York: The Steinhardt School of Education, New York University & Medical and Health Research Association; 2005. [2016-05-26].
    1. Bandura A. Psychological Modeling: Conflicting Theories. New York: Chicago Liber-Atherton; 1974. pp. 1–64.
    1. Piaget J. Mechanisms of Perception. London: Rutledge & Kegan Paul; 1969.
    1. Schank R, Berman T. The pervasive role of stories in knowledge and action. In: Green M, Strange JJ, Brock TC, editors. Narrative Impact: Social and Cognitive Foundations. Mahway, NJ: Lawrence Erlbaum Associates; 2002. pp. 287–313.
    1. Wu Y, Stanton BF, Galbraith J, Kaljee L, Cottrell L, Li X, Harris CV, D'Alessandri D, Burns JM. Sustaining and broadening intervention impact: a longitudinal randomized trial of 3 adolescent risk reduction approaches. Pediatrics. 2003 Jan;111(1):e32–e38.
    1. Parsons JT, Golub SA, Rosof E, Holder C. Motivational interviewing and cognitive-behavioral intervention to improve HIV medication adherence among hazardous drinkers: a randomized controlled trial. J Acquir Immune Defic Syndr. 2007 Dec 1;46(4):443–450.
    1. Ahlberg T. HIV Big Deal. 2011. [2016-05-26]. Ask me tell me
    1. Kernan WN, Viscoli CM, Makuch RW, Brass LM, Horwitz RI. Stratified randomization for clinical trials. J Clin Epidemiol. 1999 Jan;52(1):19–26.
    1. Friedman L, Furberg C, DeMets D. Fundamentals of Clinical Trials. 3rd Ed. St Louis: Mosby-Year Book, Inc; 1996.
    1. Birnbaum MH. Human research and data collection via the internet. Annu Rev Psychol. 2004;55:803–832. doi: 10.1146/annurev.psych.55.090902.141601.
    1. Khosropour CM. Retention and HIV testing of MSM enrolled in a 12-month online study. Sex Tech Conference; April 1,2011; San Francisco, CA. 2011.
    1. Rosser BR, Oakes JM, Konstan J, Hooper S, Horvath KJ, Danilenko GP, Nygaard KE, Smolenski DJ. Reducing HIV risk behavior of men who have sex with men through persuasive computing: results of the Men's INTernet Study-II. AIDS. 2010 Aug 24;24(13):2099–2107. doi: 10.1097/QAD.0b013e32833c4ac7.
    1. Link MW, Mokdad AH. Alternative modes for health surveillance surveys: an experiment with web, mail, and telephone. Epidemiology. 2005 Sep;16(5):701–704.
    1. Perlis TE, Des Jarlais DC, Friedman SR, Arasteh K, Turner CF. Audio-computerized self-interviewing versus face-to-face interviewing for research data collection at drug abuse treatment programs. Addiction. 2004 Jul;99(7):885–896. doi: 10.1111/j.1360-0443.2004.00740.x.
    1. Elford J, Bolding G, Davis M, Sherr L, Hart G. Web-based behavioral surveillance among men who have sex with men: a comparison of online and offline samples in London, UK. J Acquir Immune Defic Syndr. 2004 Apr 1;35(4):421–426.
    1. Grey JA, Konstan J, Iantaffi A, Wilkerson JM, Galos D, Rosser BR. An updated protocol to detect invalid entries in an online survey of men who have sex with men (MSM): how do valid and invalid submissions compare? AIDS Behav. 2015 Oct;19(10):1928–1937. doi: 10.1007/s10461-015-1033-y.
    1. Teitcher JE, Bockting WO, Bauermeister JA, Hoefer CJ, Miner MH, Klitzman RL. Detecting, preventing, and responding to “fraudsters” in internet research: ethics and tradeoffs. J Law Med Ethics. 2015;43(1):116–133. doi: 10.1111/jlme.12200.
    1. Pinkerton SD, Holtgrave DR. A method for evaluating the economic efficiency of HIV behavioral risk reduction interventions. AIDS Behav. 1998;2(3):189–201.
    1. Braithwaite RS, Meltzer DO, King JT Jr, Leslie D, Roberts MS. What does the value of modern medicine say about the $50,000 per quality-adjusted life-year decision rule? Med Care. 2008 Apr;46(4):349–356. doi: 10.1097/MLR.0b013e31815c31a7.
    1. Ryan C. Language Use in the United States: American Community Survey. Washington, DC: US Census Bureau; 2013. [2016-05-26]. .
    1. Messeri P, McAllister-Hollod L, Irvine M. Validating self-reported HIV test results using surveillance registry data. CHAIN Report 2012-8. 2013
    1. Parsons JT, Halkitis PN, Bimbi D, Borkowski T. Perceptions of the benefits and costs associated with condom use and unprotected sex among late adolescent college students. J Adolesc. 2000 Aug;23(4):377–391. doi: 10.1006/jado.2000.0326.
    1. Kalichman SC, Rompa D. Sexual Sensation Seeking and Sexual Compulsivity Scales: reliability, validity, and predicting HIV risk behavior. J Pers Assess. 1995 Dec;65(3):586–601. doi: 10.1207/s15327752jpa6503_16.
    1. Bimbi DS, Nanin JE, Parsons JT, Vicioso KJ, Missildine W, Frost DM. Assessing gay and bisexual men's outcome expectancies for sexual risk under the influence of alcohol and drugs. Subst Use Misuse. 2006;41(5):643–652. doi: 10.1080/10826080500411080.
    1. Wolitski RJ, Flores SA, O'Leary A, Bimbi DS, Gómez CA. Beliefs about personal and partner responsibility among HIV-seropositive men who have sex with men: measurement and association with transmission risk behavior. AIDS Behav. 2007 Sep;11(5):676–686. doi: 10.1007/s10461-006-9183-6.

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