Iteratively Developing an mHealth HIV Prevention Program for Sexual Minority Adolescent Men

AIDS and Behavior

Volumn 20, Issue 6, 2016, Pages 1157-1172

  Ybarra, Michele L ^a   Prescott, Tonya L ^a   Philips, Gregory L ^b   Bull, Sheana S ^c   Parsons, Jeffrey T ^d   Mustanski, Brian ^b  

^a Center for Innovative Public Health Research   (United States)

^b NORTHWESTERN UNIVERSITY   (United States)

^c Department of Civil and Environmental Engineering at Colorado State University and the Department of Environmental and Occupational Health at the Colorado School of Public Health   (United States)

^d CITY UNIVERSITY OF NEW YORK   (United States)

Author keywords

Adolescents; Gay and bisexual; HIV; Intervention development; mHealth; Sexual minority

Indexed keywords

ADOLESCENT; ADOLESCENT BEHAVIOR; DEMOGRAPHY; HIV INFECTIONS; HUMAN; INFORMATION PROCESSING; MALE; MALE HOMOSEXUALITY; PATIENT ATTITUDE; PROGRAM DEVELOPMENT; PSYCHOLOGY; REPRODUCTIVE HEALTH; SEXUAL MINORITY; SEXUALITY; TELEMEDICINE; TEXT MESSAGING;

ADOLESCENT; ADOLESCENT BEHAVIOR; FOCUS GROUPS; HIV INFECTIONS; HOMOSEXUALITY, MALE; HUMANS; MALE; PATIENT ACCEPTANCE OF HEALTH CARE; PROGRAM DEVELOPMENT; REPRODUCTIVE HEALTH; RESIDENCE CHARACTERISTICS; SEXUAL MINORITIES; SEXUAL PARTNERS; TELEMEDICINE; TEXT MESSAGING;

EID: 84938651595     PISSN: 10907165     EISSN: 15733254     Source Type: Journal    
DOI: 10.1007/s10461-015-1146-3     Document Type: Article

References (32)

1. Centers for Disease Control and Prevention. HIV Surveillance in Adolescents and Young Adults. Atlanta, GA: U.S. Department of Health and Human Services; 2011. http://www.cdc.gov/hiv/pdf/statistics_surveillance_Adolescents.pdf.
2. Everett BG, Schnarrs PW, Rosario M, Garofalo R, Mustanski B. Sexual orientation disparities in sexually transmitted infection risk behaviors and risk determinants among sexually active adolescent males: results from a school-based sample. Am J Public Health. 2014;104:1107–12.
3. Mustanski B, Newcomb ME, DuBois SN, Garcia SC, Grov C. HIV in young men who have sex with men: a review of epidemiology, risk and protective factors, and interventions. J Sex Res. 2011;48(2):218–53.
4. Centers for Disease Control and Prevention. Effective Behavioral Interventions. Atlanta, GA; 2013. http://www.cdc.gov/hiv/prevention/programs/ebis/. Accessed 27 July 2015.
5. Lenhart A. Teens, Smartphones & Texting. Washington, D.C.: Pew Research Center; 2012. http://www.pewinternet.org/~/media//Files/Reports/2012/PIP_Teens_Smartphones_and_Texting.pdf. Accessed 27 July 2015.
6. Head KJ, Noar SM, Iannarino NT, Harrington NG. Efficacy of text messaging-based interventions for health promotion: a meta-analysis. Soc Sci Med. 2013;97:41–8.
7. de Jongh T, Gurol-Urganci I, Vodopivec-Jamsek V, Car J, Atun R. Mobile phone messaging for facilitating self-management of long-term illnesses. Cochrane Database Syst Rev. 2012;12:Cd007459.
8. Catalani C, Philbrick W, Fraser H, Mechael P, Israelski DM. mHealth for HIV treatment & prevention: a systematic review of the literature. Open AIDS J. 2013;7:17–41.
9. Free C, Phillips G, Watson L, Galli L, Felix L, Edwards P, et al. The effectiveness of mobile-health technologies to improve health care service delivery processes: a systematic review and meta-analysis. PLoS Med. 2013;10(1):e1001363.
10. Fisher JD, Fisher WA. Theoretical approaches to individual-level change in HIV risk behavior. In: Peterson JL, DiClemente RJ, editors. Handbook of HIV Prevention. New York: Kluwer Academic; 2000. p. 3–55.
11. Whittaker R, Merry S, Dorey E, Maddison R. A development and evaluation process for mHealth interventions: examples from New Zealand. J Health Commun. 2012;17(Suppl 1):11–21.
12. Waterlander W, Whittaker R, McRobbie H, Dorey E, Ball K, Maddison R, et al. Development of an evidence-based mHealth weight management program using a formative research process. JMIR Mhealth Uhealth. 2014;2(3):e18.
13. Shaw RJ, Bosworth HB, Hess JC, Silva SG, Lipkus IM, Davis LL, et al. Development of a theoretically driven mHealth text messaging application for sustaining recent weight loss. JMIR Mhealth Uhealth. 2013;1(1):e5.
14. Whittaker R, McDowell H, Parag V. MEMO—A mobile phone depression prevention intervention for adolescents: development process and postprogram findings on acceptability from a randomized controlled trial. J Med Internet Res. 2012;14(1):e13.
15. Peute LW, Spithoven R, Bakker PJ, Jaspers MW. Usability studies on interactive health information systems; where do we stand? Stud Health Technol Inform. 2008;136:327–32.
16. Ybarra ML, Biringi R, Prescott T, Bull SS. Usability and navigability of an HIV/AIDS internet intervention for adolescents in a resource-limited setting. Comput Inform Nurs. 2012;30(11):587–95.
17. Ybarra ML, Prescott TL, Holtrop JS. Steps in tailoring a text messaging-based smoking cessation program for young adults. J Health Commun. 2014;19(12):1393–407.
18. Bull SS. Technology Based Health Promotion. 1st ed. Thousand Oaks: Sage; 2010.
19. Mustanski B, Garofalo R, Monahan C, Gratzer B, Andrews R. Feasibility, acceptability, and preliminary efficacy of an online HIV prevention program for diverse young men who have sex with men: the keep it up! intervention. AIDS Behav. 2013;17(9):2999–3012.
20. Ybarra M, Espelage D, Prescott T. Developing BullyDown, a text messaging-based bullying prevention program for middle school students. (under review).
21. Dunn LB, Jeste DV. Enhancing informed consent for research and treatment. Neuropsychopharmacology. 2001;24(6):595–607.
22. Moser DJ, Schultz SK, Arndt S, Benjamin ML, Fleming FW, Brems CS, et al. Capacity to provide informed consent for participation in schizophrenia and HIV research. Am J Psychiatry. 2002;159(7):1201–7.
23. Mustanski B. Ethical and regulatory issues with conducting sexuality research with LGBT adolescents: a call to action for a scientifically informed approach. Arch Sex Behav. 2011;40(4):673–86.
24. The University of California at San Diego Task Force on Decisional Capacity. Procedures for Determination of Decisional Capacity in Persons Participating in Research Protocols. San Diego: The University of California, 2003.
25. Mustanski B, DuBois ZD, Prescott TL, Ybarra ML. A mixed-methods study of condom use and decision making among adolescent gay and bisexual males. AIDS Behav. 2014;18(10):1955–69.
26. Dubois LZ, Macapagal KR, Rivera Z, Prescott T, Ybarra M, Mustanski B. Sexual decision making among sexually experienced and inexperienced adolescent gay and bisexual men: An online focus group study. Arch Sex Behav. 2015.
27. Ybarra ML, DuBois Z, Parsons JT, Prescott TL, Mustanski B. Online focus groups as an HIV prevention program for gay, bisexual, and queer adolescent males. AIDS Educ Prev. 2014;26(6):554–64.
28. Zwaanswijk M, van Dulmen S. Advantages of asynchronous online focus groups and face-to-face focus groups as perceived by child, adolescent and adult participants: a survey study. BMC Res Notes. 2014;7:756.
29. Center for Innovative Public Health Research. Guy to Guy (G2G) 2015. https://innovativepublichealth.org/projects/guy-to-guy/. Accessed 27 July 2015.
30. Dedoose. Web application for managing, analyzing, and presenting qualitative and mixed method data. 4.5.91 ed. Los Angeles, CA: SocioCultural Research Consultants, LLC; 2012.
31. Glaser BG, Strauss A. The discovery of grounded theory: Strategies for qualitative research. Chicago: Aldine Publishing Co; 1967.
32. Ryan GW, Bernard HR. Techniques to identify themes. Field Methods. 2003;15(1):85–109.