Technology-Based Stepped Care to Stem Transgender Adolescent Risk Transmission: Protocol for a Randomized Controlled Trial (TechStep)

Cathy J Reback, Joshua A Rusow, Demetria Cain, David Benkeser, Sean Arayasirikul, Lisa Hightow-Weidman, Keith J Horvath, Cathy J Reback, Joshua A Rusow, Demetria Cain, David Benkeser, Sean Arayasirikul, Lisa Hightow-Weidman, Keith J Horvath

Abstract

Background: Transgender youth demonstrate significantly higher rates of engagement in sexual risk behaviors relative to their cisgender or gender-conforming counterparts, including high rates of condomless anal intercourse and engagement in sex work. In addition, transgender youth experience increased physical or sexual abuse, victimization, substance use, mental health disorders, incarceration, and homelessness. Owing to these syndemic health disparities, transgender youth are at substantially increased risk of HIV infection.

Objective: This protocol aims to describe a randomized controlled trial (RCT), Adolescent Medicine Trials Network 160 TechStep (N=250), which assesses the differential immediate and sustained effects of each of 3 conditions (text messaging, WebApp, or information-only control) for reducing sexual risk behaviors and increasing pre-exposure prophylaxis (PrEP) uptake among high-risk, HIV-negative transgender youth and young adults (aged 15-24 years).

Methods: Participants will be recruited through web-based (targeted social media sites and apps) and offline (print ads and flyers) advertisements, peer and clinic referrals, and street- and venue-based outreach, and by contacting potential participants who have requested contact for future studies. Participants will be randomized into 1 of the 3 conditions: (1) text messaging, (2) WebApp, or (3) information-only control for 6 months. Assessments will occur at baseline and at 3, 6, and 9 months. Participants who do not show improvements in sexual risk or PrEP uptake at the 3-month assessment will be rerandomized to receive weekly electronic coaching (eCoaching) sessions in addition to their assigned text messaging or WebApp intervention, or remain in the original text messaging or WebApp intervention using a 2:1 ratio. Participants originally assigned to the information-only condition are not eligible for rerandomization.

Results: Funding for TechStep was awarded in June 2017. Phase 1 was approved by the Institutional Review Board (IRB) in April 2018. Recruitment began in November 2018 for phase 1, the formative phase. Initial phase 2 IRB approval came in June 2019. The data collection for phase 2, the RCT, is expected to be completed in April 2021. As of March 2020, 54 participants have been enrolled in TechStep. The final results are anticipated in May 2021.

Conclusions: By providing culturally responsive, technology-based interventions, TechStep aims to improve sexual health outcomes among HIV-negative transgender youth and young adults at high risk of HIV. TechStep will evaluate the efficacy of technology-based interventions for reducing HIV sexual risk behaviors and increasing PrEP initiation, adherence, and persistence. The suite of technology-based interventions developed in TechStep, and assessed for efficacy in a 3-condition RCT, represents an important advancement in intervention science toward developing tailored and scalable interventions for transgender youth and young adults.

Trial registration: ClinicalTrials.gov NCT04000724; https://ichgcp.net/clinical-trials-registry/NCT04000724.

International registered report identifier (irrid): DERR1-10.2196/18326.

Keywords: HIV; acquired immunodeficiency syndrome; mobile phone; pre-exposure prophylaxis; technology; transgender.

Conflict of interest statement

Conflicts of Interest: None declared.

©Cathy J Reback, Joshua A Rusow, Demetria Cain, David Benkeser, Sean Arayasirikul, Lisa Hightow-Weidman, Keith J Horvath. Originally published in JMIR Research Protocols (http://www.researchprotocols.org), 13.08.2020.

Figures

Figure 1
Figure 1
TechStep WebApp components and the Information, Motivation, Behavior model. PrEP: pre-exposure prophylaxis.
Figure 2
Figure 2
TechStep study design. eCoaching: electronic coaching.

References

    1. Ybarra M, Mitchell K, Kosciw J. Youth Suicide and Bullying: Challenges and Strategies for Prevention and Intervention. London, UK: Oxford University Press; 2014. The relation between suicidal ideation and bullying victimization in a national sample of transgender and non-transgender adolescents; pp. 137–47.
    1. Operario D, Nemoto T. HIV in transgender communities: syndemic dynamics and a need for multicomponent interventions. J Acquir Immune Defic Syndr. 2010 Dec;55(Suppl 2):S91–3. doi: 10.1097/QAI.0b013e3181fbc9ec.
    1. Operario D, Yang M, Reisner SL, Iwamoto M, Nemoto T. Stigma and the syndemic of HIV-related health risk behaviors in a diverse sample of transgender women. J Community Psychol. 2014 Jun 11;42(5):544–57. doi: 10.1002/jcop.21636.
    1. Brennan J, Kuhns LM, Johnson AK, Belzer M, Wilson EC, Garofalo R, Adolescent Medicine Trials Network for HIV/AIDS Interventions Syndemic theory and HIV-related risk among young transgender women: the role of multiple, co-occurring health problems and social marginalization. Am J Public Health. 2012 Sep;102(9):1751–7. doi: 10.2105/AJPH.2011.300433.
    1. Hines DD, Ryan M. It’s Not Just About Condoms and Sex: Using Syndemic Theory to Examine Social Risks of HIV Among Transgender Women. In: Wright E, Carnes N, editors. Understanding the HIV/AIDS Epidemic in the United States. Social Disparities in Health and Health Care. Springer; 2016.
    1. Parsons JT, Antebi-Gruszka N, Millar BM, Cain D, Gurung S. Syndemic conditions, HIV transmission risk behavior, and transactional sex among transgender women. AIDS Behav. 2018 Jul;22(7):2056–67. doi: 10.1007/s10461-018-2100-y.
    1. Wilson EC, Garofalo R, Harris RD, Herrick A, Martinez M, Martinez J, Belzer M, Transgender Advisory Committee and the Adolescent Medicine Trials Network for HIV/AIDS Interventions Transgender female youth and sex work: HIV risk and a comparison of life factors related to engagement in sex work. AIDS Behav. 2009 Oct;13(5):902–13. doi: 10.1007/s10461-008-9508-8.
    1. Garofalo R, Deleon J, Osmer E, Doll M, Harper GW. Overlooked, misunderstood and at-risk: exploring the lives and HIV risk of ethnic minority male-to-female transgender youth. J Adolesc Health. 2006 Mar;38(3):230–6. doi: 10.1016/j.jadohealth.2005.03.023.
    1. Garofalo R, Osmer E, Sullivan C, Doll M, Harper G. Environmental, psychosocial, and individual correlates of HIV risk in ethnic minority male-to-female transgender youth. J HIV AIDS Prev Child Youth. 2007 May 15;7(2):89–104. doi: 10.1300/j499v07n02_06.
    1. Herbst JH, Jacobs ED, Finlayson TJ, McKleroy VS, Neumann MS, Crepaz N, HIV/AIDS Prevention Research Synthesis Team Estimating HIV prevalence and risk behaviors of transgender persons in the United States: a systematic review. AIDS Behav. 2008 Jan;12(1):1–17. doi: 10.1007/s10461-007-9299-3.
    1. Walls NE, Bell S. Correlates of engaging in survival sex among homeless youth and young adults. J Sex Res. 2011 Sep;48(5):423–36. doi: 10.1080/00224499.2010.501916.
    1. Baral SD, Poteat T, Strömdahl S, Wirtz AL, Guadamuz TE, Beyrer C. Worldwide burden of HIV in transgender women: a systematic review and meta-analysis. Lancet Infect Dis. 2013 Mar;13(3):214–22. doi: 10.1016/S1473-3099(12)70315-8.
    1. Becasen JS, Denard CL, Mullins MM, Higa DH, Sipe TA. Estimating the prevalence of HIV and sexual behaviors among the US transgender population: a systematic review and meta-analysis, 2006-2017. Am J Public Health. 2019 Jan;109(1):e1–8. doi: 10.2105/AJPH.2018.304727.
    1. Vance Jr SR, Halpern-Felsher BL, Rosenthal SM. Health care providers' comfort with and barriers to care of transgender youth. J Adolesc Health. 2015 Feb;56(2):251–3. doi: 10.1016/j.jadohealth.2014.11.002.
    1. Safer JD, Coleman E, Feldman J, Garofalo R, Hembree W, Radix A, Sevelius J. Barriers to healthcare for transgender individuals. Curr Opin Endocrinol Diabetes Obes. 2016 Apr;23(2):168–71. doi: 10.1097/MED.0000000000000227.
    1. Grossman AH, D'Augelli AR. Transgender youth: invisible and vulnerable. J Homosex. 2006;51(1):111–28. doi: 10.1300/J082v51n01_06.
    1. de Haan S, Kuper LE, Magee JC, Bigelow L, Mustanski BS. The interplay between online and offline explorations of identity, relationships, and sex: a mixed-methods study with LGBT youth. J Sex Res. 2013;50(5):421–34. doi: 10.1080/00224499.2012.661489.
    1. Simon L, Daneback K. Adolescents’ use of the internet for sex education: a thematic and critical review of the literature. Int J Sex Health. 2013 Oct;25(4):305–19. doi: 10.1080/19317611.2013.823899.
    1. Tishelman AC, Kaufman R, Edwards-Leeper L, Mandel FH, Shumer DE, Spack NP. Serving transgender youth: challenges, dilemmas and clinical examples. Prof Psychol Res Pr. 2015;46(1):37–45. doi: 10.1037/a0037490.
    1. Grossman AH, D'augelli AR, Frank JA. Aspects of psychological resilience among transgender youth. J LGBT Youth. 2011 Mar 29;8(2):103–15. doi: 10.1080/19361653.2011.541347.
    1. Singh AA. Transgender youth of color and resilience: negotiating oppression and finding support. Sex Roles. 2012 Mar 18;68(11-12):690–702. doi: 10.1007/s11199-012-0149-z.
    1. Minichiello V, Rahman S, Dune T, Scott J, Dowsett G. E-health: potential benefits and challenges in providing and accessing sexual health services. BMC Public Health. 2013 Aug 30;13:790. doi: 10.1186/1471-2458-13-790.
    1. Muessig KE, Pike EC, Legrand S, Hightow-Weidman LB. Mobile phone applications for the care and prevention of HIV and other sexually transmitted diseases: a review. J Med Internet Res. 2013 Jan 4;15(1):e1. doi: 10.2196/jmir.2301.
    1. Hightow-Weidman LB, Muessig K, Rosenberg E, Sanchez T, LeGrand S, Gravens L, Sullivan PS. University of North Carolina/Emory center for innovative technology (iTech) for addressing the HIV epidemic among adolescents and young adults in the United States: protocol and rationale for center development. JMIR Res Protoc. 2018 Aug 3;7(8):e10365. doi: 10.2196/10365.
    1. Bandura A. Social cognitive theoryexercise of control of HIV infection. In: di Clemente RJ, Peterson JL, editors. Preventing AIDS: Theories and Methods of Behavioral Interventions. New York, USA: Plenum Press; 1994.
    1. Bandura A. Social cognitive theory: an agentic perspective. Annu Rev Psychol. 2001;52:1–26. doi: 10.1146/annurev.psych.52.1.1.
    1. Janz NK, Becker MH. The health belief model: a decade later. Health Educ Q. 1984;11(1):1–47. doi: 10.1177/109019818401100101.
    1. Derlega V, Winstead B, Oldfield I, Barbee A. Close relationships and social support in coping with HIV: a test of sensitive interaction systems theory. AIDS Behav. 2003 Jun;7(2):119–29. doi: 10.1023/a:1023990107075.
    1. Turner R, Turner J. Social integration and support. In: Aneshensel CS, Phelan JS, editors. Handbook of the Sociology of Mental Health. New York, USA: Kluwer Academic/Plenum; 1999. pp. 301–319.
    1. Reback C, Fletcher JB, Fehrenbacher AE, Kisler K. Text messaging to improve linkage, retention, and health outcomes among hiv-positive young transgender women: protocol for a randomized controlled trial (Text Me, Girl!) JMIR Res Protoc. 2019 Jul 29;8(7):e12837. doi: 10.2196/12837.
    1. Reback CJ, Fletcher JB, Swendeman DA, Metzner M. Theory-based text-messaging to reduce methamphetamine use and HIV sexual risk behaviors among men who have sex with men: automated unidirectional delivery outperforms bidirectional peer interactive delivery. AIDS Behav. 2019 Jan;23(1):37–47. doi: 10.1007/s10461-018-2225-z.
    1. Reback CJ, Grant DL, Fletcher JB, Branson CM, Shoptaw S, Bowers JR, Charania M, Mansergh G. Text messaging reduces HIV risk behaviors among methamphetamine-using men who have sex with men. AIDS Behav. 2012 Oct;16(7):1993–2002. doi: 10.1007/s10461-012-0200-7.
    1. Dimagi: Technology for Social Impact. [2020-07-23].
    1. Fisher JD, Fisher WA, Amico KR, Harman JJ. An information-motivation-behavioral skills model of adherence to antiretroviral therapy. Health Psychol. 2006 Jul;25(4):462–73. doi: 10.1037/0278-6133.25.4.462.
    1. Fisher JD, Fisher WA. Changing AIDS-risk behavior. Psychol Bull. 1992 May;111(3):455–74. doi: 10.1037/0033-2909.111.3.455.
    1. Fisher W, Fisher J, Harman J. The information-motivation-behavioraI skills model: A general social psychological approach to understanding and promoting health behavior. In: Suls J, Wallston KA, editors. Social Psychological Foundations of Health and Illness. New York, USA: Blackwell Publishing; 2003. pp. 82–106.
    1. Bazargan M, Stein JA, Bazargan-Hejazi S, Hindman DW. Using the information-motivation behavioral model to predict sexual behavior among underserved minority youth. J Sch Health. 2010 Jun;80(6):287–95. doi: 10.1111/j.1746-1561.2010.00503.x.
    1. Ndebele M, Kasese-Hara M, Greyling M. Application of the information, motivation and behavioural skills model for targeting HIV risk behaviour amongst adolescent learners in South Africa. Sahara J. 2012 Dec;9(Suppl 1):S37–47. doi: 10.1080/17290376.2012.744903.
    1. Naar S, Safren S. Motivational Interviewing and CBT: Combining Strategies for Maximum Effectiveness. New York, USA: Guilford Press; 2017.
    1. Miller W, Rollnick S. Motivational Interviewing, Third Edition: Helping People Change. Third Edition. New York, USA: Guilford Press; 2013.
    1. Beck J, Beck A. Cognitive Behavior Therapy: Basics and Beyond. New York, USA: Guilford Publication; 2011.
    1. MacDonell KK, Pennar AL, King L, Todd L, Martinez S, Naar S. Adolescent HIV healthcare providers' competencies in motivational interviewing using a standard patient model of fidelity monitoring. AIDS Behav. 2019 Oct;23(10):2837–9. doi: 10.1007/s10461-019-02445-4.
    1. Semaan S. Time-Space Sampling and Respondent-Driven Sampling with Hard-to-Reach Populations. Methodological Innovations Online. 2010 Aug 01;5(2):60–75. doi: 10.4256/mio.2010.0019.
    1. Parsons JT, Rendina HJ, Lassiter JM, Whitfield TH, Starks TJ, Grov C. Uptake of HIV pre-exposure prophylaxis (PrEP) in a national cohort of gay and bisexual men in the United States. J Acquir Immune Defic Syndr. 2017 Mar 1;74(3):285–92. doi: 10.1097/QAI.0000000000001251.
    1. McCumber M, Cain D, LeGrand S, Mayer KH, Murphy DA, Psioda MA, Seña AC, Starks TJ, Hudgens M. Adolescent medicine trials network for HIV/AIDS interventions data harmonization: rationale and development of guidelines. JMIR Res Protoc. 2018 Dec 21;7(12):e11207. doi: 10.2196/11207.
    1. Reback C, Simon P, Bemis C, Gatson B. The Los Angeles Transgender Health Study: Community Report. 2001. [2020-07-23]. .
    1. Barriers and Facilitators to Expanding the NHBS to Conduct HIV Behavioral Surveillance Among Transgender Women (NHBS-Trans) Regulatory Information. 2019. [2020-07-23]. .
    1. Testa RJ, Habarth J, Peta J, Balsam K, Bockting W. Development of the gender minority stress and resilience measure. Psychol Sex Orientat Gend Divers. 2015 Mar;2(1):65–77. doi: 10.1037/sgd0000081.
    1. Fisher CB, Wallace SA, Fenton RE. Discrimination distress during adolescence. J Youth Adolesc. 2000 Dec;29(6):679–95. doi: 10.1023/A:1026455906512.
    1. WHO ASSIST Working Group The alcohol, smoking and substance involvement screening test (ASSIST): development, reliability and feasibility. Addiction. 2002 Sep;97(9):1183–94. doi: 10.1046/j.1360-0443.2002.00185.x.
    1. Kroenke K, Strine KW, Spitzer RL, Williams JB, Berry JT, Mokdad AH. The PHQ-8 as a measure of current depression in the general population. J Affect Disord. 2009 Apr;114(1-3):163–73. doi: 10.1016/j.jad.2008.06.026.
    1. Stephenson R, Finneran C. The IPV-GBM scale: a new scale to measure intimate partner violence among gay and bisexual men. PLoS One. 2013;8(6):e62592. doi: 10.1371/journal.pone.0062592.
    1. Stephenson R, Hall CD, Williams W, Sato K, Finneran C. Towards the development of an intimate partner violence screening tool for gay and bisexual men. West J Emerg Med. 2013 Aug;14(4):390–400. doi: 10.5811/westjem.3.2013.15597.
    1. Ruvalcaba Y, Eaton AA. Nonconsensual pornography among US adults: a sexual scripts framework on victimization, perpetration, and health correlates for women and men. Psychol Violence. 2020 Jan;10(1):68–78. doi: 10.1037/vio0000233.
    1. Reback C. Behavioral Risk Assessment (unpublished instrument) 2005
    1. Norman CD, Skinner HA. eHEALS: the eHealth literacy scale. J Med Internet Res. 2006 Nov 14;8(4):e27. doi: 10.2196/jmir.8.4.e27.
    1. Brooke J. SUS-A quick and dirty usability scale. In: Jordan P, Thomas B, McClelland I, Weerdmeester B, editors. Usability Evaluation in Industry. Bristol, PA: Taylor and Francis; 1996. pp. 189–94.
    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):2031–44. doi: 10.1007/s10461-013-0469-1.
    1. Petersen M, Schwab J, Gruber S, Blaser N, Schomaker M, van der Laan M. Targeted maximum likelihood estimation for dynamic and static longitudinal marginal structural working models. J Causal Inference. 2014 Jun 18;2(2):147–85. doi: 10.1515/jci-2013-0007.
    1. van der Laan MJ, Gruber S. Targeted minimum loss based estimation of causal effects of multiple time point interventions. Int J Biostat. 2012;8(1) doi: 10.1515/1557-4679.1370.
    1. Bang H, Robins JM. Doubly robust estimation in missing data and causal inference models. Biometrics. 2005 Dec;61(4):962–73. doi: 10.1111/j.1541-0420.2005.00377.x.
    1. Moore KL, van der Laan MJ. Covariate adjustment in randomized trials with binary outcomes: targeted maximum likelihood estimation. Stat Med. 2009 Jan 15;28(1):39–64. doi: 10.1002/sim.3445.
    1. Benkeser D, Gilbert PB, Carone M. Estimating and testing vaccine sieve effects using machine learning. J Am Stat Assoc. 2019;114(527):1038–49. doi: 10.1080/01621459.2018.1529594.
    1. van der Laan MJ, Polley E, Hubbard A. Super learner. Stat Appl Genet Mol Biol. 2007;6:Article25. doi: 10.2202/1544-6115.1309.
    1. Polley E, Rose S, van der Laan MJ. Super learning. New York, USA: Springer; 2011. pp. 43–66.
    1. Benkeser D, Horvath K, Reback CJ, Rusow J, Hudgens M. Design and analysis considerations for a sequentially randomized HIV prevention trial. Stat Biosci. 2020 Mar 25;:-. doi: 10.1007/s12561-020-09274-3. epub ahead of print.
    1. Anderson M, Jiang J. Teens, Social Media & Technology 2018. Pew Research Center. 2018. [2018-11-15].
    1. Newcomb ME, Hill R, Buehler K, Ryan DT, Whitton SW, Mustanski B. High burden of mental health problems, substance use, violence, and related psychosocial factors in transgender, non-binary, and gender diverse youth and young adults. Arch Sex Behav. 2020 Feb;49(2):645–59. doi: 10.1007/s10508-019-01533-9.

Source: PubMed

3
Iratkozz fel