Text-Messaging, Online Peer Support Group, and Coaching Strategies to Optimize the HIV Prevention Continuum for Youth: Protocol for a Randomized Controlled Trial

Dallas Swendeman, Elizabeth Mayfield Arnold, Danielle Harris, Jasmine Fournier, W Scott Comulada, Cathy Reback, Maryann Koussa, Manuel Ocasio, Sung-Jae Lee, Leslie Kozina, Maria Isabel Fernández, Mary Jane Rotheram, Adolescent Medicine Trials Network (ATN) CARES Team, Mary Jane Rotheram-Borus, Sue Ellen Abdalian, M Isabel Fernandez, Jeffrey D Klausner, Sung-Jae Lee, Maryann Koussa, Leslie Kozina, Manuel Ocasio, W Scott Comulada, Robert E Weiss, Ronald Brookmeyer, Wenze Tang, Karin Nielson, Yvonne Bryson, Tara Kerin, Chelsea Shannon, Ruth Cortado, Kate Mitchell, Elizabeth Mayfield Arnold, Norweeta Milburn, Dallas Swendeman, Cathy Reback, Marguerita Lightfoot, Danielle Harris, Jasmine Fournier, Dallas Swendeman, Elizabeth Mayfield Arnold, Danielle Harris, Jasmine Fournier, W Scott Comulada, Cathy Reback, Maryann Koussa, Manuel Ocasio, Sung-Jae Lee, Leslie Kozina, Maria Isabel Fernández, Mary Jane Rotheram, Adolescent Medicine Trials Network (ATN) CARES Team, Mary Jane Rotheram-Borus, Sue Ellen Abdalian, M Isabel Fernandez, Jeffrey D Klausner, Sung-Jae Lee, Maryann Koussa, Leslie Kozina, Manuel Ocasio, W Scott Comulada, Robert E Weiss, Ronald Brookmeyer, Wenze Tang, Karin Nielson, Yvonne Bryson, Tara Kerin, Chelsea Shannon, Ruth Cortado, Kate Mitchell, Elizabeth Mayfield Arnold, Norweeta Milburn, Dallas Swendeman, Cathy Reback, Marguerita Lightfoot, Danielle Harris, Jasmine Fournier

Abstract

Background: America's increasing HIV epidemic among youth suggests the need to identify novel strategies to leverage services and settings where youth at high risk (YAHR) for HIV can be engaged in prevention. Scalable, efficacious, and cost-effective strategies are needed, which support youth during developmental transitions when risks arise. Evidence-based behavioral interventions (EBIs) have typically relied on time-limited, scripted, and manualized protocols that were often delivered with low fidelity and lacked evidence for effectiveness.

Objective: This study aims to examine efficacy, implementation, and cost-effectiveness of easily mountable and adaptable, technology-based behavioral interventions in the context of an enhanced standard of care and study assessments that implement the guidelines of Centers for Disease Control and Prevention (CDC) for routine, repeat HIV, and sexually transmitted infection (STI) testing for high-risk youth.

Methods: Youth aged between 12 and 24 years (n=1500) are being recruited from community-based organizations and clinics serving gay, bisexual, and transgender youth, homeless youth, and postincarcerated youth, with eligibility algorithms weighting African American and Latino youth to reflect disparities in HIV incidence. At baseline and 4-month intervals over 24 months (12 months for lower-risk youth), interviewers monitor uptake of HIV prevention continuum steps (linkage to health care, use of pre- or postexposure prophylaxis, condoms, and prevention services) and secondary outcomes of substance use, mental health, and housing security. Assessments include rapid diagnostic tests for HIV, STIs, drugs, and alcohol. The study is powered to detect modest intervention effects among gay or bisexual male and transgender youth with 70% retention. Youth are randomized to 4 conditions: (1) enhanced standard of care of automated text-messaging and monitoring (AMM) and repeat HIV/STI testing assessment procedures (n=690); (2) online group peer support via private social media plus AMM (n=270); (3) coaching that is strengths-based, youth-centered, unscripted, based on common practice elements of EBI, available over 24 months, and delivered by near-peer paraprofessionals via text, phone, and in-person, plus AMM (n=270); and (4) online group peer support plus coaching and AMM (n=270).

Results: The project was funded in September 2016 and enrollment began in May 2017. Enrollment will be completed between June and August 2019. Data analysis is currently underway, and the first results are expected to be submitted for publication in 2019.

Conclusions: This hybrid implementation-effectiveness study examines alternative models for implementing the CDC guidelines for routine HIV/STI testing for YAHR of acquiring HIV and for delivering evidence-based behavioral intervention content in modular elements instead of scripted manuals and available over 24 months of follow-up, while also monitoring implementation, costs, and effectiveness. The greatest impacts are expected for coaching, whereas online group peer support is expected to have lower impact but may be more cost-effective.

Trial registration: ClinicalTrials.gov NCT03134833; https://ichgcp.net/clinical-trials-registry/NCT03134833 (Archived by WebCite at http://www.webcitation.org/76el0Viw9).

International registered report identifier (irrid): DERR1-10.2196/11165.

Keywords: HIV/AIDS; MSM; adolescents; homelessness; mHealth; prevention; transgender.

Conflict of interest statement

Conflicts of Interest: None declared.

©Dallas Swendeman, Elizabeth Mayfield Arnold, Danielle Harris, Jasmine Fournier, W Scott Comulada, Cathy Reback, Maryann Koussa, Manuel Ocasio, Sung-Jae Lee, Leslie Kozina, Maria Isabel Fernández, Mary Jane Rotheram, Adolescent Medicine Trials Network (ATN) CARES Team. Originally published in JMIR Research Protocols (http://www.researchprotocols.org), 09.08.2019.

Figures

Figure 1
Figure 1
Design of the randomized controlled trial for youth at high risk (YAHR) for acquiring HIV (n=1500). AMM: automated text-messaging and monitoring; MSM: men who have sex with men; SMS: short messaging service.

References

    1. Centers for Disease Control and Prevention. 2011. [2019-03-16]. HIV among youth
    1. Peterson JL, DiClemente RJ. Interventions for high-risk youth. In: Lightfoot M, Rotheram-Borus MJ, editors. Handbook Of Hiv Prevention (aids Prevention And Mental Health) New York: Springer; 2000. pp. 129–45.
    1. Hankins C, Dybul MR. The promise of pre-exposure prophylaxis with antiretroviral drugs to prevent HIV transmission: a review. Curr Opin HIV AIDS. 2013 Jan;8(1):50–8. doi: 10.1097/COH.0b013e32835b809d.
    1. Kahn J, Martin JN, Roland ME, Bamberger JD, Chesney M, Chambers D, Franses K, Coates TJ, Katz MH. Feasibility of postexposure prophylaxis (PEP) against human immunodeficiency virus infection after sexual or injection drug use exposure: the San Francisco PEP Study. J Infect Dis. 2001 Mar 01;183(5):707–14. doi: 10.1086/318829.
    1. Stricof RL, Kennedy JT, Nattell TC, Weisfuse IB, Novick LF. HIV seroprevalence in a facility for runaway and homeless adolescents. Am J Public Health. 1991 May;81(Suppl):50–3.
    1. Tolou-Shams M, Brown LK, Houck C, Lescano CM, Project SHIELD Study Group The association between depressive symptoms, substance use, and HIV risk among youth with an arrest history. J Stud Alcohol Drugs. 2008 Jan;69(1):58–64. doi: 10.15288/jsad.2008.69.58.
    1. Valera P, Epperson M, Daniels J, Ramaswamy M, Freudenberg N. Substance use and HIV-risk behaviors among young men involved in the criminal justice system. Am J Drug Alcohol Abuse. 2009;35(1):43–7. doi: 10.1080/00952990802342923.
    1. Szilagyi P. Managed care for children: effect on access to care and utilization of health services. Future Child. 1998;8(2):39–59.
    1. Tsai Y, Zhou F, Wortley P, Shefer A, Stokley S. Trends and characteristics of preventive care visits among commercially insured adolescents, 2003-2010. J Pediatr. 2014 Mar;164(3):625–30. doi: 10.1016/j.jpeds.2013.10.042.
    1. Nordin J, Solberg LI, Parker ED. Adolescent primary care visit patterns. Ann Fam Med. 2010;8(6):511–6. doi: 10.1370/afm.1188.
    1. D'Angelo L, Abdalian SE, Sarr M, Hoffman N, Belzer M, Adolescent Medicine HIV/AIDS Research Network Disclosure of serostatus by HIV infected youth: the experience of the REACH study. Reaching for Excellence in Adolescent Care and Health. J Adolesc Health. 2001 Sep;29(3 Suppl):72–9.
    1. Swendeman D, Rotheram-Borus MJ, Comulada S, Weiss R, Ramos ME. Predictors of HIV-related stigma among young people living with HIV. Health Psychol. 2006 Jul;25(4):501–9. doi: 10.1037/0278-6133.25.4.501.
    1. Canadian Paediatric Society Adolescent sexual orientation. Paediatr Child Health. 2008 Sep;13(7):619–30. [No authors listed]
    1. Doll M, Fortenberry JD, Roseland D, McAuliff K, Wilson CM, Boyer CB. Linking HIV-negative youth to prevention services in 12 US cities: barriers and facilitators to implementing the HIV prevention continuum. J Adolesc Health. 2018 Apr;62(4):424–33. doi: 10.1016/j.jadohealth.2017.09.009.
    1. Los Angeles County Department of Public Health. 2014. 2014 Annual HIV/STD Surveillance Report .
    1. Los Angeles County Department of Public Health. 2013. [2019-03-16]. 2013 Annual HIV Surveillance Report 2014 .
    1. Rotheram MJ, Fernandez MI, Lee SJ, Abdalian SE, Kozina L, Koussa M, Comulada WS, Klausner JD, Mayfield Arnold E, Ocasio MA, Swendeman D, Klausner JD, Adolescent Medicine Trials Network (ATN) CARES Team Strategies to Treat and Prevent HIV in the United States for Adolescents and Young Adults: Protocol for a Mixed-Methods Study. JMIR Res Protoc. 2019 Jan;8(1) doi: 10.2196/10759.
    1. McNairy M, El-Sadr WM. A paradigm shift: focus on the HIV prevention continuum. Clin Infect Dis. 2014 Jul;59(Suppl 1):S12–5. doi: 10.1093/cid/ciu251.
    1. Branson BM, Handsfield HH, Lampe MA, Janssen RS, Taylor AW, Lyss SB, Clark JE, Centers for Disease ControlPrevention (CDC) Revised recommendations for HIV testing of adults, adolescents, and pregnant women in health-care settings. MMWR Recomm Rep. 2006 Sep 22;55(RR-14):1–17.
    1. Rotheram-Borus M, Fernandez MI. Sexual orientation and developmental challenges experienced by gay and lesbian youths. Suicide Life Threat Behav. 1995;25 Suppl:26–34; discussion 35.
    1. Milburn L, Liang LJ, Lee SJ, Rotheram-Borus MJ. Trajectories of risk behaviors and exiting homelessness among newly homeless adolescents. Vulnerable Child Youth Stud. 2009 Jan 01;4(4):346–52. doi: 10.1080/17450120902884068.
    1. Ringwalt C, Greene JM, Robertson MJ. Familial backgrounds and risk behaviors of youth with thrownaway experiences. J Adolesc. 1998 Jun;21(3):241–52. doi: 10.1006/jado.1998.0150.
    1. Rosario M, Schrimshaw EW, Hunter J. Homelessness among lesbian, gay, and bisexual youth: implications for subsequent internalizing and externalizing symptoms. J Youth Adolesc. 2012 May;41(5):544–60. doi: 10.1007/s10964-011-9681-3.
    1. Rotheram-Borus M, Swendeman D, Chorpita BF. Disruptive innovations for designing and diffusing evidence-based interventions. Am Psychol. 2012 Sep;67(6):463–76. doi: 10.1037/a0028180.
    1. Swendeman D, Rotheram-Borus MJ. Innovation in sexually transmitted disease and HIV prevention: internet and mobile phone delivery vehicles for global diffusion. Curr Opin Psychiatry. 2010 Mar;23(2):139–44. doi: 10.1097/YCO.0b013e328336656a.
    1. Holloway I, Winder TJ, Lea CH, Tan D, Boyd D, Novak D. Technology use and preferences for mobile phone-based HIV prevention and treatment among black young men who have sex with men: exploratory research. JMIR Mhealth Uhealth. 2017 Dec 13;5(4):e46. doi: 10.2196/mhealth.6436.
    1. Bower JL, Christensen CM. Disruptive Technologies: Catching the Wave. Harv Bus Rev. 1995;73(1):43–53.
    1. Dowshen N, Meisarah M, Lee SS. Mobile phone and social media use and preferences for a secondary prevention mHealth intervention among youth living with HIV. J Adolesc Health. 2016 Feb;58(2):S81. doi: 10.1016/j.jadohealth.2015.10.174.
    1. Dowshen N, Kuhns LM, Johnson A, Holoyda BJ, Garofalo R. Improving adherence to antiretroviral therapy for youth living with HIV/AIDS: a pilot study using personalized, interactive, daily text message reminders. J Med Internet Res. 2012 Apr 05;14(2):e51. doi: 10.2196/jmir.2015.
    1. Rice E, Monro W, Barman-Adhikari A, Young SD. Internet use, social networking, and HIV/AIDS risk for homeless adolescents. J Adolesc Health. 2010 Dec;47(6):610–3. doi: 10.1016/j.jadohealth.2010.04.016.
    1. Lenhart A. Pew Research Center. 2015. [2019-03-16]. Teen, Social Media and Technology Overview 2015
    1. Pew Research Center. 2018. [2019-03-16]. Mobile Fact Sheet
    1. eMarketer. 2016. [2019-03-16]. Teens' Ownership of Smartphones Has Surged .
    1. Rice E, Barman-Adhikari A. Internet and social media use as a resource among homeless youth. J Comput Mediat Commun. 2014 Jan 01;19(2):232–47. doi: 10.1111/jcc4.12038.
    1. Rotheram-Borus M, Swendeman D, Chovnick G. The past, present, and future of HIV prevention: integrating behavioral, biomedical, and structural intervention strategies for the next generation of HIV prevention. Annu Rev Clin Psychol. 2009;5:143–67. doi: 10.1146/annurev.clinpsy.032408.153530.
    1. Rotheram-Borus MJ, Swendeman D, Flannery D, Rice E, Adamson DM, Ingram B. Common factors in effective HIV prevention programs. AIDS Behav. 2009 Jun;13(3):399–408. doi: 10.1007/s10461-008-9464-3.
    1. Centers for Disease Control and Prevention. 2015. Nov 15, [2019-03-16]. Compendium of Evidence-Based Interventions and Best Practices for HIV Prevention .
    1. Substance Abuse and Mental Health Services Administration. 2016. [2019-03-16]. National Registry of Evidence-based Programs and Practices (NREPP) .
    1. National Center for Education Evaluation and Regional Assistance. 2016. [2019-03-16]. What Works Clearinghouse
    1. Rotheram-Borus M, Ingram BL, Swendeman D, Flannery D. Common principles embedded in effective adolescent HIV prevention programs. AIDS Behav. 2009 Jun;13(3):387–98. doi: 10.1007/s10461-009-9531-4.
    1. Swendeman D, Ingram BL, Rotheram-Borus MJ. Common elements in self-management of HIV and other chronic illnesses: an integrative framework. AIDS Care. 2009 Oct;21(10):1321–34. doi: 10.1080/09540120902803158.
    1. Ingram B, Flannery D, Elkavich A, Rotheram-Borus MJ. Common processes in evidence-based adolescent HIV prevention programs. AIDS Behav. 2008 May;12(3):374–83. doi: 10.1007/s10461-008-9369-1.
    1. Curran G, Bauer M, Mittman B, Pyne JM, Stetler C. Effectiveness-implementation hybrid designs: combining elements of clinical effectiveness and implementation research to enhance public health impact. Med Care. 2012 Mar;50(3):217–26. doi: 10.1097/MLR.0b013e3182408812.
    1. Comulada W, Tang W, Swendeman D, Cooper A, Wacksman J, Adolescent Medicine Trials Network (ATN) CARES Team Development of an electronic data collection system to support a large-scale HIV behavioral intervention trial: protocol for an electronic data collection system. JMIR Res Protoc. 2018 Dec 14;7(12):e10777. doi: 10.2196/10777.
    1. Nielsen-Saines K, Mitchell K, Kerin T, Fournier J, Kozina L, Andrews B, Cortado R, Bolan R, Flynn R, Rotheram MJ, Abdalian SE, Bryson Y, Adolescent Medicine Trials Network (ATN) CARES Team. Mobilizing Minds Research Group Acute HIV infection in youth: protocol for the Adolescent Trials Network 147 (ATN147) Comprehensive Adolescent Research and Engagement Studies (CARES) study. JMIR Res Protoc. 2019 Jan 16;8(1):e10807. doi: 10.2196/10807.
    1. Shannon CL, Koussa M, Lee SJ, Fournier J, Abdalian SE, Rotheram MJ, Klausner JD, Adolescent Medicine Trials Network (ATN) CARES Team Community-based, point-of-care sexually transmitted infection screening among high-risk adolescents in Los Angeles and New Orleans: study protocol, adolescent medicine trials network. J Med Internet Res. 2019:-. doi: 10.2196/10795. (forthcoming)
    1. Arnold E, Swendeman D, Harris D, Fournier J, Kozina L, Abdalian S, Rotheram MJ, Adolescent Medicine Trials Network CARES Team The stepped care intervention to suppress viral load in youth living with HIV: protocol for a randomized controlled trial. JMIR Res Protoc. 2019 Dec 27;8(2):e10791. doi: 10.2196/10791.
    1. Walensky RP, Freedberg KA, Weinstein MC, Paltiel AD. Cost-effectiveness of HIV testing and treatment in the United States. Clin Infect Dis. 2007 Dec 15;45(Suppl 4):S248–54. doi: 10.1086/522546.
    1. Google Play. 2018. [2019-03-16]. Time It .
    1. Cordova D, Bauermeister JA, Fessler K, Delva J, Nelson A, Nurenberg R, Mendoza Lua F, Alers-Rojas F, Salas-Wright CP, Youth Leadership Council A community-engaged approach to developing an mHealth HIV/STI and drug abuse preventive intervention for primary care: a qualitative study. JMIR Mhealth Uhealth. 2015 Dec 18;3(4):e106. doi: 10.2196/mhealth.4620.
    1. Rhodes S, Vissman AT, Stowers J, Miller C, McCoy TP, Hergenrather KC, Wilkin AM, Reece M, Bachmann LH, Ore A, Ross MW, Hendrix E, Eng E. A CBPR partnership increases HIV testing among men who have sex with men (MSM): outcome findings from a pilot test of the CyBER/testing internet intervention. Health Educ Behav. 2011 Jun;38(3):311–20. doi: 10.1177/1090198110379572.
    1. Reback C, 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. HRSA HIV/AIDS Bureau TARGET Center. 2016. [2019-03-19]. UCARE4Life Patient Text Message Inventory .
    1. PrEPTech. 2016. [2019-03-16]. PrEPTech: Making PrEP work for you
    1. Fry J, Neff RA. Periodic prompts and reminders in health promotion and health behavior interventions: systematic review. J Med Internet Res. 2009 May 14;11(2):e16. doi: 10.2196/jmir.1138.
    1. Malow R, Kershaw T, Sipsma H, Rosenberg R, Dévieux JG. HIV preventive interventions for adolescents: a look back and ahead. Curr HIV/AIDS Rep. 2007 Nov 7;4(4):173–80. doi: 10.1007/s11904-007-0025-6.
    1. Reback C, Ling D, Shoptaw S, Rohde J. Developing a text messaging risk reduction intervention for methamphetamine-using MSM: research note. Open AIDS J. 2010 May 14;4:116–22. doi: 10.2174/1874613601004030116.
    1. Cohen S, Herbert TB. Health psychology: psychological factors and physical disease from the perspective of human psychoneuroimmunology. Annu Rev Psychol. 1996;47:113–42. doi: 10.1146/annurev.psych.47.1.113.
    1. Derlega V, Winstead BA, Oldfield III EC, Barbee AP. Close relationships and social support in coping with HIV: a test of sensitive interaction systems theory. AIDS Behav. 2003 Jun;7(2):119–29.
    1. Bierman J. Handbook of the Sociology of Mental Health. New York: Kluwer Academic/Plenum Publishers; 1999. Social integration and social support; pp. 341–56.
    1. Janz N, Becker MH. The Health Belief Model: a decade later. Health Educ Q. 1984;11(1):1–47. doi: 10.1177/109019818401100101.
    1. Rosenstock I. Preventing AIDS. AIDS Prevention and Mental Health. New York, NY: Plenum Press; 1994. The health belief model and HIV risk behavior change.
    1. Hochbaum G. Public Participation in Medical Screening Programs: A Socio-Psychological Study. Madison: University of Wisconsin-Madison Library; 1958.
    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. Bandura A. Stanford University. New York, NY: Plenum Press; 1994. [2019-03-19]. Social cognitive theory and exercise of control over HIV infection, in preventing AIDS: theories and methods of behavioral interventions .
    1. Reback C, 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. Reback C. Developing a Gay-Specific, Theory-Based Text-Messaging Intervention for Methamphetamine-Using Men Who Have Sex with Men (MSM)in Medicine 2.0 Conference. Medicine 2.0; 2014; Maui, Hawaii. 2014.
    1. Reback C, Fletcher JB, Shoptaw S, Mansergh G. Exposure to theory-driven text messages is associated with HIV risk reduction among methamphetamine-using men who have sex with men. AIDS Behav. 2015 Jun;19(Suppl 2):130–41. doi: 10.1007/s10461-014-0985-7.
    1. Kanfer FH. Self-monitoring: methodological limitations and clinical applications. J Consult Clin Psychol. 1970;35(2):148–52. doi: 10.1037/h0029874.
    1. Kanfer F. Pergamon General Psychology Series, Volume 52 Helping People Change: A Textbook of Methods. Elmsford, NY: Pergamon Press; 1991. Self-management methods.
    1. Bandura A. Social cognitive theory of self-regulation. Organ Behav Hum Decis Process. 1991 Dec;50(2):248–87. doi: 10.1016/0749-5978(91)90022-L.
    1. Ramanathan N, Swendeman D, Comulada WS, Estrin D, Rotheram-Borus MJ. Identifying preferences for mobile health applications for self-monitoring and self-management: focus group findings from HIV-positive persons and young mothers. Int J Med Inform. 2013 Apr;82(4):e38–46. doi: 10.1016/j.ijmedinf.2012.05.009.
    1. Tsai A, Tomlinson M, Dewing S, le Roux IM, Harwood JM, Chopra M, Rotheram-Borus MJ. Antenatal depression case finding by community health workers in South Africa: feasibility of a mobile phone application. Arch Womens Ment Health. 2014 Oct;17(5):423–31. doi: 10.1007/s00737-014-0426-7.
    1. Swendeman D, Comulada WS, Ramanathan N, Lazar M, Estrin D. Reliability and validity of daily self-monitoring by smartphone application for health-related quality-of-life, antiretroviral adherence, substance use, and sexual behaviors among people living with HIV. AIDS Behav. 2015 Feb;19(2):330–40. doi: 10.1007/s10461-014-0923-8.
    1. Swendeman D, Comulada WS, Koussa M, Worthman CM, Estrin D, Rotheram-Borus MJ, Ramanathan N. Longitudinal validity and reliability of brief smartphone self-monitoring of diet, stress, and physical activity in a diverse sample of mothers. JMIR Mhealth Uhealth. 2018 Sep 21;6(9):e176. doi: 10.2196/mhealth.9378.
    1. Rotheram-Borus M, le Roux IM, Tomlinson M, Mbewu N, Comulada WS, le Roux K, Stewart J, O'Connor MJ, Hartley M, Desmond K, Greco E, Worthman CM, Idemundia F, Swendeman D. Philani Plus (+): a mentor mother community health worker home visiting program to improve maternal and infants' outcomes. Prev Sci. 2011 Dec;12(4):372–88. doi: 10.1007/s11121-011-0238-1.
    1. Swendeman D, Ramanathan N, Baetscher L, Medich M, Scheffler A, Comulada WS, Estrin D. Smartphone self-monitoring to support self-management among people living with HIV: perceived benefits and theory of change from a mixed-methods randomized pilot study. J Acquir Immune Defic Syndr. 2015 May 01;69(Suppl 1):S80–91. doi: 10.1097/QAI.0000000000000570.
    1. Swendeman D. Self-Monitoring by Smartphone Ecological Momentary Assessment (EMA) to Support Outpatient Methamphetamine Treatment: Preliminary Efficacy and Theory of Action from a Mixed-Methods Randomized Pilot Study. Addiction Health Services Research (AHSR) Conference; Octiber 14-16, 2015; Marina del Rey, California. 2015.
    1. Scott C, Dennis ML, Gustafson DH. Using smartphones to decrease substance use via self-monitoring and recovery support: study protocol for a randomized control trial. Trials. 2017 Dec 10;18(1):374. doi: 10.1186/s13063-017-2096-z.
    1. Tucker J, Blum ER, Xie L, Roth DL, Simpson CA. Interactive voice response self-monitoring to assess risk behaviors in rural substance users living with HIV/AIDS. AIDS Behav. 2012 Feb;16(2):432–40. doi: 10.1007/s10461-011-9889-y.
    1. Aharonovich E, Greenstein E, O'Leary A, Johnston B, Seol SG, Hasin DS. HealthCall: technology-based extension of motivational interviewing to reduce non-injection drug use in HIV primary care patients - a pilot study. AIDS Care. 2012;24(12):1461–9. doi: 10.1080/09540121.2012.663882.
    1. Hasin D, Aharonovich E, O'Leary A, Greenstein E, Pavlicova M, Arunajadai S, Waxman R, Wainberg M, Helzer J, Johnston B. Reducing heavy drinking in HIV primary care: a randomized trial of brief intervention, with and without technological enhancement. Addiction. 2013 Jul;108(7):1230–40. doi: 10.1111/add.12127.
    1. Simpson T, Kivlahan DR, Bush KR, McFall ME. Telephone self-monitoring among alcohol use disorder patients in early recovery: a randomized study of feasibility and measurement reactivity. Drug Alcohol Depend. 2005 Aug 01;79(2):241–50. doi: 10.1016/j.drugalcdep.2005.02.001.
    1. Copeland J, Martin G. Web-based interventions for substance use disorders: a qualitative review. J Subst Abuse Treat. 2004 Mar;26(2):109–16. doi: 10.1016/S0740-5472(03)00165-X.
    1. Sinadinovic K, Berman AH, Hasson D, Wennberg P. Internet-based assessment and self-monitoring of problematic alcohol and drug use. Addict Behav. 2010 May;35(5):464–70. doi: 10.1016/j.addbeh.2009.12.021.
    1. Lightfoot M, Rotheram-Borus MJ, Comulada S, Gundersen G, Reddy V. Self-monitoring of behaviour as a risk reduction strategy for persons living with HIV. AIDS Care. 2007 Jul;19(6):757–63. doi: 10.1080/09540120600971117.
    1. DiClemente C, Nidecker M, Bellack AS. Motivation and the stages of change among individuals with severe mental illness and substance abuse disorders. J Subst Abuse Treat. 2008 Jan;34(1):25–35. doi: 10.1016/j.jsat.2006.12.034.
    1. Stellefson M, Dipnarine K, Stopka C. The chronic care model and diabetes management in US primary care settings: a systematic review. Prev Chronic Dis. 2013;10:E26. doi: 10.5888/pcd10.120180.
    1. Boothroyd R, Fisher EB. Peers for progress: promoting peer support for health around the world. Fam Pract. 2010 Jun;27 Suppl 1:i62–8. doi: 10.1093/fampra/cmq017.
    1. Viner R, Ozer EM, Denny S, Marmot M, Resnick M, Fatusi A, Currie C. Adolescence and the social determinants of health. Lancet. 2012 Apr 28;379(9826):1641–52. doi: 10.1016/S0140-6736(12)60149-4.
    1. Simoni J. Compendium of Evidence-Based Interventions and Best Practices for HIV Prevention. 2013. [2019-03-16]. Peer Support .
    1. Mustanski B, Greene GJ, Ryan D, Whitton SW. Feasibility, acceptability, and initial efficacy of an online sexual health promotion program for LGBT youth: the Queer Sex Ed intervention. J Sex Res. 2015;52(2):220–30. doi: 10.1080/00224499.2013.867924.
    1. Ybarra M, Prescott TL, Philips GL, Bull SS, Parsons JT, Mustanski B. Iteratively developing an mHealth HIV prevention program for sexual minority adolescent men. AIDS Behav. 2016 Dec;20(6):1157–72. doi: 10.1007/s10461-015-1146-3.
    1. Hidalgo M, Kuhns LM, Hotton AL, Johnson AK, Mustanski B, Garofalo R. The MyPEEPS randomized controlled trial: a pilot of preliminary efficacy, feasibility, and acceptability of a group-level, HIV risk reduction intervention for young men who have sex with men. Arch Sex Behav. 2015 Feb;44(2):475–85. doi: 10.1007/s10508-014-0347-6.
    1. Marlin R, Young SD, Bristow CC, Wilson G, Rodriguez J, Ortiz J, Mathew R, Klausner JD. Piloting an HIV self-test kit voucher program to raise serostatus awareness of high-risk African Americans, Los Angeles. BMC Public Health. 2014 Nov 26;14:1226. doi: 10.1186/1471-2458-14-1226.
    1. Young S, Cumberland WG, Nianogo R, Menacho LA, Galea JT, Coates T. The HOPE social media intervention for global HIV prevention in Peru: a cluster randomised controlled trial. Lancet HIV. 2015 Jan;2(1):e27–32. doi: 10.1016/S2352-3018(14)00006-X.
    1. Eysenbach G, Powell J, Englesakis M, Rizo C, Stern A. Health related virtual communities and electronic support groups: systematic review of the effects of online peer to peer interactions. Br Med J. 2004 May 15;328(7449):1166. doi: 10.1136/bmj.328.7449.1166.
    1. Houston T, Cooper LA, Ford DE. Internet support groups for depression: a 1-year prospective cohort study. Am J Psychiatry. 2002 Dec;159(12):2062–8. doi: 10.1176/appi.ajp.159.12.2062.
    1. Dunham PJ, Hurshman A, Litwin E, Gusella J, Ellsworth C, Dodd PW. Computer-mediated social support: single young mothers as a model system. Am J Community Psychol. 1998 Apr;26(2):281–306.
    1. Flatley-Brennan P. Computer network home care demonstration: a randomized trial in persons living with AIDS. Comput Biol Med. 1998 Sep;28(5):489–508. doi: 10.1016/S0010-4825(98)00029-8.
    1. Szilagyi P, Humiston SG, Gallivan S, Albertin C, Sandler M, Blumkin A. Effectiveness of a citywide patient immunization navigator program on improving adolescent immunizations and preventive care visit rates. Arch Pediatr Adolesc Med. 2011 Jun;165(6):547–53. doi: 10.1001/archpediatrics.2011.73.
    1. International Advisory Panel on HIV Care Continuum Optimization IAPAC guidelines for optimizing the HIV care continuum for adults and adolescents. J Int Assoc Provid AIDS Care. 2015;14(Suppl 1):S3–34. doi: 10.1177/2325957415613442.
    1. AIDS United. 2015. [2019-03-16]. Best practices for integrating peer navigators into HIV models of care .
    1. Centers for Disease Control and Prevention. 2018. [2019-03-19]. HIV Navigation Services .
    1. Centers for Disease Control and Prevention HIV Navigation Services Atlanta: U.S. Department of Health and Human Services. 2015. [2019-03-16]. .
    1. Fukui S, Goscha R, Rapp CA, Mabry A, Liddy P, Marty D. Strengths model case management fidelity scores and client outcomes. Psychiatr Serv. 2012 Jul;63(7):708–10. doi: 10.1176/appi.ps.201100373.
    1. Krabbenborg M, Boersma SN, Wolf JR. A strengths based method for homeless youth: effectiveness and fidelity of Houvast. BMC Public Health. 2013 Apr 18;13:359. doi: 10.1186/1471-2458-13-359.
    1. Craw J, Gardner LI, Marks G, Rapp RC, Bosshart J, Duffus WA, Rossman A, Coughlin SL, Gruber D, Safford LA, Overton J, Schmitt K. Brief strengths-based case management promotes entry into HIV medical care: results of the antiretroviral treatment access study-II. J Acquir Immune Defic Syndr. 2008 Apr 15;47(5):597–606. doi: 10.1097/QAI.0b013e3181684c51.
    1. Rotheram-Borus M, Swendeman D, Becker KD. Adapting evidence-based interventions using a common theory, practices, and principles. J Clin Child Adolesc Psychol. 2014;43(2):229–43. doi: 10.1080/15374416.2013.836453.
    1. Chorpita B, Daleiden EL. Mapping evidence-based treatments for children and adolescents: application of the distillation and matching model to 615 treatments from 322 randomized trials. J Consult Clin Psychol. 2009 Jun;77(3):566–79. doi: 10.1037/a0014565.
    1. le Roux I, Tomlinson M, Harwood JM, O'Connor MJ, Worthman CM, Mbewu N, Stewart J, Hartley M, Swendeman D, Comulada WS, Weiss RE, Rotheram-Borus MJ. Outcomes of home visits for pregnant mothers and their infants: a cluster randomized controlled trial. AIDS. 2013 Jun 01;27(9):1461–71. doi: 10.1097/QAD.0b013e3283601b53.
    1. Comulada WS, Rotheram-Borus MJ, Pequegnat W, Weiss RE, Desmond KA, Arnold EM, Remien RH, Morin SF, Weinhardt LS, Johnson MO, Chesney MA. Relationships over time between mental health symptoms and transmission risk among persons living with HIV. Psychol Addict Behav. 2010 Mar;24(1):109–18. doi: 10.1037/a0018190.
    1. Gold M. Panel on cost-effectiveness in health and medicine. Med Care. 1996 Dec;34(12 Suppl):DS197–9.
    1. Philbin M, Tanner AE, DuVal A, Ellen JM, Xu J, Kapogiannis B, Bethel J, Fortenberry JD, Adolescent Trials Network for HIV/AIDS Interventions Factors affecting linkage to care and engagement in care for newly diagnosed HIV-positive adolescents within fifteen adolescent medicine clinics in the United States. AIDS Behav. 2014 Aug;18(8):1501–10. doi: 10.1007/s10461-013-0650-6.
    1. Ford CA, Bearman PS, Moody J. Foregone health care among adolescents. J Am Med Assoc. 1999 Dec 15;282(23):2227–34.
    1. Sullivan PS, Jones J, Kishore N, Stephenson R. The roles of technology in primary HIV prevention for men who have sex with men. Curr HIV/AIDS Rep. 2015 Dec;12(4):481–8. doi: 10.1007/s11904-015-0293-5.
    1. Rosser B, Wilkerson JM, Smolenski DJ, Oakes JM, Konstan J, Horvath KJ, Kilian GR, Novak DS, Danilenko GP, Morgan R. The future of Internet-based HIV prevention: a report on key findings from the Men's INTernet (MINTS-I, II) Sex Studies. AIDS Behav. 2011 Apr;15(Suppl 1):S91–100. doi: 10.1007/s10461-011-9910-5.
    1. Sullivan P, Grey JA, Simon Rosser BR. Emerging technologies for HIV prevention for MSM: what we have learned, and ways forward. J Acquir Immune Defic Syndr. 2013 Jun 01;63(Suppl 1):S102–7. doi: 10.1097/QAI.0b013e3182949e85.
    1. Allison S, Bauermeister JA, Bull S, Lightfoot M, Mustanski B, Shegog R, Levine D. The intersection of youth, technology, and new media with sexual health: moving the research agenda forward. J Adolesc Health. 2012 Sep;51(3):207–12. doi: 10.1016/j.jadohealth.2012.06.012.
    1. Hightow-Weidman L, 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. Wohlfeiler D, Hecht J, Volk J, Fisher Raymond H, Kennedy T, McFarland W. How can we improve online HIV and STD prevention for men who have sex with men? Perspectives of hook-up website owners, website users, and HIV/STD directors. AIDS Behav. 2013 Nov;17(9):3024–33. doi: 10.1007/s10461-012-0375-y.
    1. Tomlinson M, Rotheram-Borus MJ, Swartz L, Tsai AC. Scaling up mHealth: where is the evidence? PLoS Med. 2013;10(2):e1001382. doi: 10.1371/journal.pmed.1001382.
    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. Muessig K, 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. Rotheram-Borus M, Lee SJ, Swendeman D. Getting to zero HIV among youth: moving beyond medical sites. JAMA Pediatr. 2018 Dec 01;172(12):1117–8. doi: 10.1001/jamapediatrics.2018.3672.

Source: PubMed

Sponsorer og samarbejdspartnere

Medicinske tilstande

Narkotikainterventioner

3
Abonner