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AIDS and Behavior
Erschienen in: AIDS and Behavior 2/2015

01.06.2015 | Original Paper

Exposure to Theory-Driven Text Messages is Associated with HIV Risk Reduction Among Methamphetamine-Using Men Who have Sex with Men

verfasst von: Cathy J. Reback, Jesse B. Fletcher, Steven Shoptaw, Gordon Mansergh

Erschienen in: AIDS and Behavior | Sonderheft 2/2015

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Abstract

Fifty-two non-treatment-seeking methamphetamine-using men who have sex with men were enrolled in Project Tech Support, an open-label pilot study to evaluate whether exposure to theory-based [social support theory (SST), social cognitive theory (SCT), and health belief model (HBM)] text messages could promote reductions in HIV sexual risk behaviors and/or methamphetamine use. Multivariable analyses revealed that increased relative exposure to HBM or SCT (vs. SST) text messages was associated with significant reductions in the number of HIV serodiscordant unprotected (i.e., without a condom) anal sex partners, engagement in sex for money and/or drugs, and frequency of recent methamphetamine use; additionally, increased relative exposure to HBM (vs. SCT or SST) messages was uniquely associated with reductions in the overall number of non-primary anal sex partners (all p ≤ 0.05, two-tailed). Pilot data demonstrated that text messages based on the principles of HBM and SCT reduced sentinel HIV risk and drug use behaviors in active methamphetamine users.
Literatur
1.
Centers for Disease Control and Prevention. HIV in the United States: at a glance. Atlanta, GA: US Department of Health and Human Services; 2013.
2.
Centers for Disease Control and Prevention. Estimated HIV incidence in the United States, 2007–2010. Atlanta, GA: US Department of Health and Human Services; 2012.
3.
Friedman MR, Wei C, Klem ML, Silvestre AJ, Markovic N, Stall R. HIV infection and sexual risk among men who have sex with men and women (MSMW): a systematic review and meta-analysis. PLoS ONE. 2014;9(1):e87139.PubMedCentralPubMedCrossRef
4.
Centers for Disease Control and Prevention. Methamphetamine use and risk for HIV/AIDS. Atlanta, GA: US Department of Health and Human Services; 2007.
5.
Shoptaw S, Reback CJ. Associations between methamphetamine use and HIV among men who have sex with men: a model for guiding public policy. J Urban Health. 2006;83(6):1151–7.PubMedCentralPubMedCrossRef
6.
Hirshfield S, Remien RH, Humberstone M, Walavalkar I, Chiasson MA. Substance use and high-risk sex among men who have sex with men: a national online study in the USA. AIDS Care. 2004;16(8):1036–47.PubMedCrossRef
7.
Brewer DD, Golden MR, Handsfield HH. Unsafe sexual behavior and correlates of risk in a probability sample of men who have sex with men in the era of highly active antiretroviral therapy. Sex Transm Dis. 2006;33(4):250–5.PubMed
8.
Schwarcz S, Scheer S, McFarland W, et al. Prevalence of HIV infection and predictors of high-transmission sexual risk behaviors among men who have sex with men. Am J Public Health. 2007;97(6):1067–75.PubMedCentralPubMedCrossRef
9.
Halkitis P, Moeller R, Siconolfi D, Jerome R, Rogers M, Schillinger J. Methamphetamine and poly-substance use among gym-attending men who have sex with men in New York City. Ann Behav Med. 2008;35(1):41–8.PubMedCrossRef
10.
Forrest D, Metsch L, LaLota M, Cardenas G, Beck D, Jeanty Y. Crystal methamphetamine use and sexual risk behaviors among HIV-positive and HIV-negative men who have sex with men in South Florida. J Urban Health. 2010;87(3):480–5.PubMedCentralPubMedCrossRef
11.
Freeman P, Walker BC, Harris DR, et al. Methamphetamine use and risk for HIV among young men who have sex with men in 8 US cities. Arch Pediatr Adolesc Med. 2011;165(8):736–40.PubMedCentralPubMedCrossRef
12.
Kreuter MW, Wray RJ. Tailored and targeted health communication: strategies for enhancing information relevance. Am J Health Behav. 2003;27(Suppl 3):S227–32.PubMedCrossRef
13.
Fjeldsoe BS, Marshall AL, Miller YD. Behavior change interventions delivered by mobile telephone short-message service. Am J Prev Med. 2009;36(2):165–73.PubMedCrossRef
14.
15.
Lim MSC, Hocking JS, Hellard ME, Aitken CK. SMS STI: a review of the uses of mobile phone text messaging in sexual health. Int J STD AIDS. 2008;19(5):287–90.PubMedCrossRef
16.
Wei J, Hollin I, Kachnowski S. A review of the use of mobile phone text messaging in clinical and healthy behaviour interventions. J Telemed Telecare. 2011;17(1):41–8.PubMedCrossRef
17.
Head KJ, Noar SM, Iannarino NT, Grant Harrington N. Efficacy of text messaging-based interventions for health promotion: a meta-analysis. Soc Sci Med. 2013;97:41–8.PubMedCrossRef
18.
Rainie L. Internet, broadband, and cell phone statistics. Washington, DC: Pew Research Center; 2010.
19.
Muench F, Weiss RA, Kuerbis A, Moregenstern J. Developing a theory driven text messaging intervention for addiction care with user driven content. Psychol Addict Behav. 2013;27(1):315–21.PubMedCentralPubMedCrossRef
20.
Fox S. Mobile health 2010. Washington, DC: Pew Research Center; 2010.
21.
Smith A. Technology trends among people of color. Washington, DC: Pew Research Center; 2010.
22.
Lenhart A. Cell phones and American adults. Washington, DC: Pew Research Center; 2010.
23.
McClure EA, Acquavita SP, Harding E, Stitzer ML. Utilization of communication technology by patients enrolled in substance abuse treatment. Drug Alcohol Depend. 2013;129(1–2):145–50.PubMedCentralPubMedCrossRef
24.
National Coalition for the Homeless. HIV/AIDS and homelessness. Washington, DC: National Coalition for the Homeless; 2009.
25.
Centers for Disease Control and Prevention. HIV in the United States. Atlanta, GA: US Department of Health and Human Services; 2013.
26.
Centers for Disease Control and Prevention. HIV and substance use in the United States. Atlanta, GA: US Department of Health and Human Services; 2013.
27.
Centers for Disease Control and Prevention. HIV among youth. Atlanta, GA: US Department of Health and Human Services; 2014.
28.
Lester RT, Ritvo P, Mills EJ, et al. Effects of a mobile phone short message service on antiretroviral treatment adherence in Kenya (WelTel Kenya1): a randomised trial. Lancet. 2010;376(9755):1838–45.PubMedCrossRef
29.
Pop-Eleches C, Thirumurthy H, Habyarimana J, et al. Mobile phone technologies improve adherence to antiretroviral treatment in a resource-limited setting: a randomized controlled trial of text message reminders. AIDS. 2011;25(6):825–34.PubMedCentralPubMedCrossRef
30.
Finitsis DJ, Pellowski JA, Johnson BT. Text message intervention designs to promote adherence to antiretroviral therapy (ART): a meta-analysis of randomized controlled trials. PLoS ONE. 2014;9(2):e88166.PubMedCentralPubMedCrossRef
31.
Khosropour CM, Lake JG, Sullivan PS. Are MSM willing to SMS for HIV prevention? J Health Commun. 2014;19(1):57–66.PubMedCrossRef
32.
Menacho LA, Blas MM, Alva IE, Orellana ER. Short text messages to motivate HIV testing among men who have sex with men: a qualitative study in Lima. Peru Open AIDS J. 2013;7:1–6.CrossRef
33.
Ingersoll K, Dillingham R, Reynolds G, et al. Development of a personalized bidirectional text messaging tool for HIV adherence assessment and intervention among substance abusers. J Subst Abuse Treat. 2014;46:66–73.PubMedCrossRef
34.
Zou H, Fairley CK, Guy R, et al. Automated, computer generated reminders and increased detection of gonorrhoea, chlamydia and syphilis in men who have sex with men. PLoS ONE. 2013;8(4):e61972.PubMedCentralPubMedCrossRef
35.
Moore DJ, Montoya JL, Blackstone K, et al. Preliminary evidence for feasibility, use, and acceptability of individualized texting for adherence building for antiretroviral adherence and substance use assessment among HIV-infected methamphetamine users. AIDS Res Treat. 2013;2013:585143.PubMedCentralPubMed
36.
Reback C, Grant D, Fletcher J, et al. Text messaging reduces HIV risk behaviors among methamphetamine-using men who have sex with men. AIDS Behav. 2012;16(7):1993–2002.PubMedCrossRef
37.
Bandura A. Health promotion by social cognitive means. Health Educ Behav. 2004;31(2):143–64.PubMedCrossRef
38.
39.
Boone TL, Lefkowitz ES. Safer sex and the health belief model. J Psychol Human Sex. 2004;16(1):51–68.CrossRef
40.
Eastin MS, LaRose R. Alt. support: modeling social support online. Comput Human Behav. 2005;21(6):977–92.CrossRef
41.
Lin P, Simoni JM, Zemon V. The health belief model, sexual behaviors, and HIV risk among Taiwanese immigrants. AIDS Educ Prev. 2005;17(5):469–83.PubMedCrossRef
42.
Downing-Matibag TM, Geisinger B. Hooking up and sexual risk taking among college students: a health belief model perspective. Qual Health Res. 2009;19(9):1196–209.PubMedCrossRef
43.
Lakey B, Cohen S. Social support theory and measurement. In: Cohen S, Underwood LG, Gottlieb BH, editors. Social support measurement and intervention: a guide for health and social scientists. Oxford: Oxford University Press; 2000. p. 29–52.
44.
Uchino BN. Social support and health: a review of physiological processes potentially underlying links to disease outcomes. J Behav Med. 2006;29(4):377–87.PubMedCrossRef
45.
Wills TA, Ainette MG. Social networks and social support. In: Baum A, Revenson TA, Singer J, editors. Handbook of health psychology. 2nd ed. New York, NY: Psychology Press; 2012. p. 465–92.
46.
Uchino BN. Social support and physical health: understanding the health consequences of relationships. New Haven, CT: Yale University Press; 2004.CrossRef
47.
Reilly T, Woo G. Social support and maintenance of safer sex practices among people living with HIV/AIDS. Health Soc Work. 2004;29(2):97–105.PubMedCrossRef
48.
Wohl AR, Galvan FH, Myers HF, et al. Do social support, stress, disclosure and stigma influence retention in HIV care for Latino and African American men who have sex with men and women? AIDS Behav. 2011;15(6):1098–110.PubMedCrossRef
49.
Woodward EN, Pantalone DW. The role of social support and negative affect in medication adherence for HIV-infected men who have sex with men. J Assoc Nurses AIDS Care. 2012;23(5):388–96.PubMedCentralPubMedCrossRef
50.
Glick SN, Golden MR. Early male partnership patterns, social support, and sexual risk behavior among young men who have sex with men. AIDS Behav. 2013. doi:10.​1007/​s10461-013-0678-7.
51.
Scott H, Pollack L, Rebchook G, Huebner D, Peterson J, Kegeles S. Peer social support is associated with recent HIV testing among young black men who have sex with men. AIDS Behav. 2013;18(5):913–20.CrossRef
52.
O’Leary A, Wolitski RJ, Remien RH, et al. Psychosocial correlates of transmission risk behavior among HIV-seropositive gay and bisexual men. AIDS. 2005;19(Suppl 1):S67–75.PubMedCrossRef
53.
Mausbach BT, Semple SJ, Strathdee SA, Zians J, Patterson TL. Efficacy of a behavioral intervention for increasing safer sex behaviors in HIV-positive MSM methamphetamine users: results from the EDGE study. Drug Alcohol Depend. 2007;87(2–3):249–57.PubMedCentralPubMedCrossRef
54.
Armitage CJ, Conner M. Social cognition models and health behaviour: a structured review. Psychol Health. 2000;15(2):173–89.CrossRef
55.
Champion VL, Skinner CS. The health belief model. In: Glanz K, Rimer BK, Viswanath K, editors. Health behavior and health education: theory, research, and practice. San Francisco, CA: Jossey-Bass; 2008. p. 45–66.
56.
Carpenter CJ. A meta-analysis of the effectiveness of health belief model variables in predicting behavior. Health Commun. 2010;25(8):661–9.PubMedCrossRef
57.
van der Snoek EM, de Wit JBF, Götz HM, Mulder PGH, Neumann MHA, van der Meijden WI. Incidence of sexually transmitted diseases and HIV infection in men who have sex with men related to knowledge, perceived susceptibility, and perceived severity of sexually transmitted diseases and HIV infection: Dutch MSM–cohort study. Sex Transm Dis. 2006;33(3):193–8.PubMedCrossRef
58.
Reback CJ, Ling D, Shoptaw S, Rohde J. Developing a text messaging risk reduction intervention for methamphetamine-using MSM: research note. Open AIDS J. 2010;4:116–22.PubMedCentralPubMed
59.
Hilbe JM. Negative binomial regression. 2nd ed. New York, NY: Cambridge University Press; 2011.CrossRef
60.
Kleinbaum DC, Klein M. Ordinal logistic regression., Statistics for biology and healthNew York, NY: Springer; 2010. p. 463–88.
61.
Taylor D, Bury M, Campling N, et al. A review of the use of the health belief model (HBM), the theory of reasoned action (TRA), the theory of planned behaviour (TPB) and the trans-theoretical model (TTM) to study and predict health related behaviour change. London: National Institute for Health and Clinical Excellence; 2006.
62.
Prochaska JO. The transtheoretical model of behavior change. In: Gellman MD, Turner JR, editors. Encyclopedia of behavioral medicine. New York, NY: Springer; 2013. p. 1997–2000.
63.
Hall KL, Rossi JS. Meta-analytic examination of the strong and weak principles across 48 health behaviors. Prev Med. 2008;46(3):266–74.PubMedCrossRef
64.
Rosenstock IM. Historical origins of the health belief model. Health Educ Behav. 1974;2(4):328–35.
65.
Gallant MP. The influence of social support on chronic illness self-management: a review and directions for research. Health Educ Behav. 2003;30(2):170–95.PubMedCrossRef
66.
Simoni JM, Frick PA, Huang B. A longitudinal evaluation of a social support model of medication adherence among HIV-positive men and women on antiretroviral therapy. Health Psychol. 2006;25(1):74–81.PubMedCrossRef
67.
Atkinson NL, Gold RS. The promise and challenge of eHealth interventions. Am J Health Behav. 2002;26(6):494–503.PubMedCrossRef
68.
Noar SM, Benac CN, Harris MS. Does tailoring matter? Meta-analytic review of tailored print health behavior change interventions. Psychol Bull. 2007;133(4):673–93.PubMedCrossRef
69.
Metadaten
Titel
Exposure to Theory-Driven Text Messages is Associated with HIV Risk Reduction Among Methamphetamine-Using Men Who have Sex with Men
verfasst von
Cathy J. Reback
Jesse B. Fletcher
Steven Shoptaw
Gordon Mansergh
Publikationsdatum
01.06.2015
Verlag
Springer US
Erschienen in
AIDS and Behavior / Ausgabe Sonderheft 2/2015
Print ISSN: 1090-7165
Elektronische ISSN: 1573-3254
DOI
https://doi.org/10.1007/s10461-014-0985-7

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