Connecting Youth and Young Adults to Optimize Antiretroviral Therapy Adherence (YouTHrive): Protocol for a Randomized Controlled Trial

K J Horvath, R F MacLehose, A Martinka, J DeWitt, L Hightow-Weidman, P Sullivan, K R Amico, K J Horvath, R F MacLehose, A Martinka, J DeWitt, L Hightow-Weidman, P Sullivan, K R Amico

Abstract

Background: Despite intensive efforts to engage people living with HIV in the United States, less than half of the youth aged 13 to 24 years achieve viral suppression. There is a clear and continued need for innovative behavioral programs that support optimizing adherence among young persons with HIV.

Objective: There are 3 phases of this project. Phase 1 involves conducting focus groups to obtain feedback from youth about an existing technology-based antiretroviral therapy (ART) adherence intervention. Phase 2 will be used to conduct beta testing with youth to refine and finalize the YouTHrive (YT) intervention. Phase 3 is a randomized controlled trial (RCT) to test the efficacy of the YT intervention among youth living with HIV (YLWH).

Methods: In phase 1, we will conduct 6 focus groups with approximately 8 youths (aged 15-19 years) and young adults (aged 20-24 years), each in 3 US cities to obtain (1) feedback from YLWH about the look and feel and content of an existing adult-focused Web-based ART adherence intervention and (2) suggestions for adapting the intervention for YLWH similar to themselves. Phase 2 will involve updating the existing intervention to include features and functionality recommended by YLWH in phase 1; it will conclude with beta testing with 12 participants to gain feedback on the overall design and ensure proper functionality and ease of navigation. For phase 3, we will enroll 300 YLWH in 6 US cities (Atlanta, Chicago, Houston, New York City, Philadelphia, and Tampa) into a 2-arm prospective RCT. Participants will be randomized 1:1 to YT intervention or control group. The randomization sequence will be stratified by city and use random permuted blocks of sizes 2 and 4. Participants randomized to the control condition will view a weekly email newsletter on topics related to HIV, with the exception of ART adherence, for 5 months. Participants randomized to the YT intervention condition will be given access to the YT site for 5 months. Study assessments will occur at enrollment and 5, 8, and 11 months post enrollment. The primary outcome that will be assessed is sustained viral load (VL), defined as the proportion of participants in each study arm who have suppressed VL at both the 5- and 11-month assessment; the secondary outcome that will be assessed is suppressed VL at both the 5- and 11-month assessment between drug-using and nondrug-using participants assigned to the YT intervention arm.

Results: Participant recruitment began in May 2017 for phase 1 of the study. The data collection for aim 3 is anticipated to end in April 2020.

Conclusions: The efficacy trial of the YT intervention will help to fill gaps in understanding the efficacy of mobile interventions to improve ART adherence among at-risk populations.

Trial registration: ClinicalTrials.gov NCT03149757; https://ichgcp.net/clinical-trials-registry/NCT03149757 (Archived by WebCite at http://www.webcitation.org/73pw57Cf1).

International registered report identifier (irrid): DERR1-10.2196/11502.

Keywords: HIV; adolescent; antiretroviral therapy; mobile apps; mobile phone; treatment adherence.

Conflict of interest statement

Conflicts of Interest: None declared.

©KJ Horvath, RF MacLehose, A Martinka, J DeWitt, L Hightow-Weidman, P Sullivan, KR Amico. Originally published in JMIR Research Protocols (http://www.researchprotocols.org), 30.07.2019.

Figures

Figure 1
Figure 1
Thrive With Me intervention components and the Information, Motivation, and Behavioral skills model. ART: antiretroviral therapy.
Figure 2
Figure 2
YouThrive intervention flow.

References

    1. Centers for Disease Control and Prevention . HIV among youth. Atlanta, GA: Centers for Disease Control and Prevention; 2018. [2018-11-15]. .
    1. Zanoni BC, Mayer KH. The adolescent and young adult HIV cascade of care in the United States: exaggerated health disparities. AIDS Patient Care STDS. 2014 Mar;28(3):128–35. doi: 10.1089/apc.2013.0345.
    1. Gamarel KE, Brown L, Kahler CW, Fernandez MI, Bruce D, Nichols S, Adolescent Medicine Trials Network for HIV/AIDS Intervention Prevalence and correlates of substance use among youth living with HIV in clinical settings. Drug Alcohol Depend. 2016 Dec 01;169:11–8. doi: 10.1016/j.drugalcdep.2016.10.002.
    1. Gamarel KE, Nelson KM, Brown L, Fernandez MI, Nichols S, Adolescent Medicine Trials Network for HIV/AIDS Intervention The usefulness of the CRAFFT in screening for problematic drug and alcohol use among youth living with HIV. AIDS Behav. 2017 Jul;21(7):1868–77. doi: 10.1007/s10461-016-1640-2.
    1. Evangeli M. Mental health and substance use in HIV-infected adolescents. Curr Opin HIV AIDS. 2018 May;13(3):204–11. doi: 10.1097/COH.0000000000000451.
    1. Stewart MJ. Social support: diverse theoretical perspectives. Soc Sci Med. 1989;28(12):1275–82. doi: 10.1016/0277-9536(89)90346-8.
    1. Kalichman SC, DiMarco M, Austin J, Luke W, DiFonzo K. Stress, social support, and HIV-status disclosure to family and friends among HIV-positive men and women. J Behav Med. 2003 Aug;26(4):315–32. doi: 10.1023/A:1024252926930.
    1. Darbes LA, Lewis MA. HIV-specific social support predicts less sexual risk behavior in gay male couples. Health Psychol. 2005 Nov;24(6):617–22. doi: 10.1037/0278-6133.24.6.617.
    1. Williams PL, Storm D, Montepiedra G, Nichols S, Kammerer B, Sirois PA, Farley J, Malee K, PACTG 219C Team Predictors of adherence to antiretroviral medications in children and adolescents with HIV infection. Pediatrics. 2006 Dec;118(6):e1745–57. doi: 10.1542/peds.2006-0493.
    1. Thompson MA, Mugavero MJ, Amico KR, Cargill VA, Chang LW, Gross R, Orrell C, Altice FL, Bangsberg DR, Bartlett JG, Beckwith CG, Dowshen N, Gordon CM, Horn T, Kumar P, Scott JD, Stirratt MJ, Remien RH, Simoni JM, Nachega JB. Guidelines for improving entry into and retention in care and antiretroviral adherence for persons with HIV: evidence-based recommendations from an International Association of Physicians in AIDS Care panel. Ann Intern Med. 2012 Jun 05;156(11):817–33. doi: 10.7326/0003-4819-156-11-201206050-00419.
    1. Chandwani S, Abramowitz S, Koenig LJ, Barnes W, D'Angelo L. A multimodal behavioral intervention to impact adherence and risk behavior among perinatally and behaviorally HIV-infected youth: description, delivery, and receptivity of adolescent impact. AIDS Educ Prev. 2011 Jun;23(3):222–35. doi: 10.1521/aeap.2011.23.3.222.
    1. Simoni JM, Pantalone DW, Plummer MD, Huang B. A randomized controlled trial of a peer support intervention targeting antiretroviral medication adherence and depressive symptomatology in HIV-positive men and women. Health Psychol. 2007 Jul;26(4):488–95. doi: 10.1037/0278-6133.26.4.488.
    1. Simoni JM, Huh D, Frick PA, Pearson CR, Andrasik MP, Dunbar PJ, Hooton TM. Peer support and pager messaging to promote antiretroviral modifying therapy in Seattle: a randomized controlled trial. J Acquir Immune Defic Syndr. 2009 Dec 01;52(4):465–73. doi: 10.1097/QAI.0b013e3181b9300c.
    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):326–34. doi: 10.1007/s11904-012-0133-9.
    1. Saberi P, Johnson MO. Technology-based self-care methods of improving antiretroviral adherence: a systematic review. PLoS One. 2011;6(11):e27533. doi: 10.1371/journal.pone.0027533.
    1. Shaw S, Amico KR. Antiretroviral therapy adherence enhancing interventions for adolescents and young adults 13-24 years of age: a review of the evidence base. J Acquir Immune Defic Syndr. 2016 Dec 01;72(4):387–99. doi: 10.1097/QAI.0000000000000977.
    1. Pew Internet Research Center Internet/Broadband Fact Sheet. 2018. [2018-11-15].
    1. Page TF, Horvath KJ, Danilenko GP, Williams M. A cost analysis of an internet-based medication adherence intervention for people living with HIV. J Acquir Immune Defic Syndr. 2012 May 01;60(1):1–4. doi: 10.1097/QAI.0b013e318250f011.
    1. Benotsch EG, Snipes DJ, Martin AM, Bull SS. Sexting, substance use, and sexual risk behavior in young adults. J Adolesc Health. 2013 Mar;52(3):307–13. doi: 10.1016/j.jadohealth.2012.06.011.
    1. Pew Research Center. 2018. [2018-11-15]. Internet/Broadband Fact Sheet
    1. Pew Research Center Mobile Fact Sheet. 2018. [2018-11-15].
    1. Smith A. Record shares of Americans now own smartphones, have home broadband. 2017. Jan 12, [2018-11-15].
    1. Gaysynsky A, Romansky-Poulin K, Arpadi S. “My YAP Family”: analysis of a Facebook group for young adults living with HIV. AIDS Behav. 2015 Jun;19(6):947–62. doi: 10.1007/s10461-014-0887-8.
    1. Fisher JD, Amico KR, Fisher WA, Cornman DH, Shuper PA, Trayling C, Redding C, Barta W, Lemieux AF, Altice FL, Dieckhaus K, Friedland G, LifeWindows Team Computer-based intervention in HIV clinical care setting improves antiretroviral adherence: the LifeWindows Project. AIDS Behav. 2011 Nov;15(8):1635–46. doi: 10.1007/s10461-011-9926-x.
    1. Kurth AE, Spielberg F, Cleland CM, Lambdin B, Bangsberg DR, Frick PA, Severynen AO, Clausen M, Norman RG, Lockhart D, Simoni JM, Holmes KK. Computerized counseling reduces HIV-1 viral load and sexual transmission risk: findings from a randomized controlled trial. J Acquir Immune Defic Syndr. 2014 Apr 15;65(5):611–20. doi: 10.1097/QAI.0000000000000100.
    1. Horvath KJ, Amico KR, Erickson D, Ecklund AM, Martinka A, DeWitt J, McLaughlin J, Parsons JT. Thrive With Me: protocol for a randomized controlled trial to test a peer support intervention to improve antiretroviral therapy adherence among men who have sex with men. JMIR Res Protoc. 2018 May 31;7(5):e10182. doi: 10.2196/10182.
    1. Fisher WA, Fisher JD, Harman JJ. 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. Malden, MA: Blackwell Publishing; 2003. pp. 82–106.
    1. Amico KR, Toro-Alfonso J, Fisher JD. An empirical test of the information, motivation and behavioral skills model of antiretroviral therapy adherence. AIDS Care. 2005 Aug;17(6):661–73. doi: 10.1080/09540120500038058.
    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. Fisher JD, Fisher WA, Williams SS, Malloy TE. Empirical tests of an information-motivation-behavioral skills model of AIDS-preventive behavior with gay men and heterosexual university students. Health Psychol. 1994 May;13(3):238–50. doi: 10.1037/0278-6133.13.3.238.
    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. Starace F, Massa A, Amico KR, Fisher JD. Adherence to antiretroviral therapy: an empirical test of the information-motivation-behavioral skills model. Health Psychol. 2006 Mar;25(2):153–62. doi: 10.1037/0278-6133.25.2.153.
    1. Amico KR, Barta W, Konkle-Parker DJ, Fisher JD, Cornman DH, Shuper PA, Fisher WA. The information-motivation-behavioral skills model of ART adherence in a Deep South HIV+ clinic sample. AIDS Behav. 2009 Feb;13(1):66–75. doi: 10.1007/s10461-007-9311-y.
    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. Kernan WN, Viscoli CM, Makuch RW, Brass LM, Horwitz RI. Stratified randomization for clinical trials. J Clin Epidemiol. 1999 Jan;52(1):19–26. doi: 10.1016/S0895-4356(98)00138-3.
    1. Gamarel KE, Nichols S, Kahler CW, Westfall AO, Lally MA, Wilson CM, Adolescent Medicine Trials Network for HIV/AIDS Intervention A cross-sectional study examining associations between substance use frequency, problematic use and STIs among youth living with HIV. Sex Transm Infect. 2018 Dec;94(4):304–8. doi: 10.1136/sextrans-2017-053334.
    1. Panel on Antiretroviral Guidelines for Adults and Adolescents . Guidelines for the use of antiretroviral agents in HIV-1-infected adults and adolescents. National Institute of Health; [2018-11-15]. .
    1. Wilson IB, Lee Y, Michaud J, Fowler FJ, Rogers WH. Validation of a new three-item self-report measure for medication adherence. AIDS Behav. 2016 Dec;20(11):2700–8. doi: 10.1007/s10461-016-1406-x.
    1. The LifeWindows Project Team . The LifeWindows Information Motivation Behavioral Skills ART Adherence Questionnaire (LW-IMB-AAQ) Connecticut: University of Connecticut; 2006. [2018-11-20]. .
    1. Johnson MO, Neilands TB, Dilworth SE, Morin SF, Remien RH, Chesney MA. The role of self-efficacy in HIV treatment adherence: validation of the HIV Treatment Adherence Self-Efficacy Scale (HIV-ASES) J Behav Med. 2007 Oct;30(5):359–70. doi: 10.1007/s10865-007-9118-3.
    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 TW, 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. Spitzer RL, Kroenke K, Williams JB, Löwe B. A brief measure for assessing generalized anxiety disorder: the GAD-7. Arch Intern Med. 2006 May 22;166(10):1092–7. doi: 10.1001/archinte.166.10.1092.
    1. Gross JJ, John OP. Individual differences in two emotion regulation processes: implications for affect, relationships, and well-being. J Pers Soc Psychol. 2003 Aug;85(2):348–62. doi: 10.1037/0022-3514.85.2.348.
    1. Earnshaw VA, Smith LR, Chaudoir SR, Amico KR, Copenhaver MM. HIV stigma mechanisms and well-being among PLWH: a test of the HIV stigma framework. AIDS Behav. 2013 Jun;17(5):1785–95. doi: 10.1007/s10461-013-0437-9.
    1. Hahn EA, DeWalt DA, Bode RK, Garcia SF, DeVellis RF, Correia H, Cella D, PROMIS Cooperative Group New English and Spanish social health measures will facilitate evaluating health determinants. Health Psychol. 2014 May;33(5):490–9. doi: 10.1037/hea0000055.
    1. Ader DN. Developing the patient-reported outcomes measurement information system (PROMIS) Med Care. 2007;45(5):S1–S2. doi: 10.1097/01.mlr.0000260537.45076.74.
    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. Brook J. SUS: A quick and dirty usability scale. In: Jordan PW, Thomas B, McClelland I, Weerdmeester B, editors. Usability Evaluation in Industry. Bristol, PA: Taylor and Francis; 1996. pp. 189–94.
    1. Anderson M, Jiang J. Pew Teens, Social Media & Technology 2018. [2018-11-15].
    1. Holloway IW, Tan D, Dunlap SL, Palmer L, Beougher S, Cederbaum JA. Network support, technology use, depression, and ART adherence among HIV-positive MSM of color. AIDS Care. 2017 Dec;29(9):1153–61. doi: 10.1080/09540121.2017.1325435.
    1. Betancourt TS, Meyers-Ohki SE, Charrow A, Hansen N. Annual Research Review: mental health and resilience in HIV/AIDS-affected children--a review of the literature and recommendations for future research. J Child Psychol Psychiatry. 2013 Apr;54(4):423–44. doi: 10.1111/j.1469-7610.2012.02613.x.
    1. Mellins CA, Malee KM. Understanding the mental health of youth living with perinatal HIV infection: lessons learned and current challenges. J Int AIDS Soc. 2013 Jun 18;16:18593. doi: 10.7448/IAS.16.1.18593.
    1. Centers for Disease Control and Prevention . HIV Surveillance Reports. Atlanta, GA: Centers for Disease Control and Prevention; 2016. Nov, [2018-11-15]. .
    1. Muessig K, Pike EC, LeGrand S, Hightow-Weidman L. A review of mobile phone applications for the careprevention of HIVother sexually transmitted diseases. AIDS 2012: XIX International AIDS Conference; July 22-27, 2012; Washington, DC. 2012.
    1. Muessig KE, Pike EC, Fowler B, LeGrand S, Parsons JT, Bull SS, Wilson PA, Wohl DA, Hightow-Weidman LB. Putting prevention in their pockets: developing mobile phone-based HIV interventions for black men who have sex with men. AIDS Patient Care STDS. 2013 Apr;27(4):211–22. doi: 10.1089/apc.2012.0404.
    1. Muessig K, 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 04;15(1):e1. doi: 10.2196/jmir.2301.
    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):500–15. doi: 10.1007/s11904-015-0280-x.
    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 Mar;12(1):173–90. doi: 10.1007/s11904-014-0239-3.
    1. Andrasik MP, Chandler C, Powell B, Humes D, Wakefield S, Kripke K, Eckstein D. Bridging the divide: HIV prevention research and Black men who have sex with men. Am J Public Health. 2014 Apr;104(4):708–14. doi: 10.2105/AJPH.2013.301653.
    1. Horvath KJ, Alemu D, Danh T, Baker JV, Carrico AW. Creating effective mobile phone apps to optimize antiretroviral therapy adherence: perspectives fFrom stimulant-using HIV-positive men who have sex with men. JMIR Mhealth Uhealth. 2016 Apr 15;4(2):e48. doi: 10.2196/mhealth.5287.
    1. Bauermeister JA, Golinkoff JM, Muessig KE, Horvath KJ, Hightow-Weidman LB. Addressing engagement in technology-based behavioural HIV interventions through paradata metrics. Curr Opin HIV AIDS. 2017 Sep;12(5):442–6. doi: 10.1097/COH.0000000000000396.
    1. Lester RT, Ritvo P, Mills EJ, Kariri A, Karanja S, Chung MH, Jack W, Habyarimana J, Sadatsafavi M, Najafzadeh M, Marra CA, Estambale B, Ngugi E, Ball TB, Thabane L, Gelmon LJ, Kimani J, Ackers M, Plummer FA. Effects of a mobile phone short message service on antiretroviral treatment adherence in Kenya (WelTel Kenya1): a randomised trial. Lancet. 2010 Nov 27;376(9755):1838–45. doi: 10.1016/S0140-6736(10)61997-6.
    1. Muessig KE, LeGrand S, Horvath KJ, Bauermeister JA, Hightow-Weidman LB. Recent mobile health interventions to support medication adherence among HIV-positive MSM. Curr Opin HIV AIDS. 2017 Sep;12(5):432–41. doi: 10.1097/COH.0000000000000401.

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