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Published in: Current HIV/AIDS Reports 4/2015

01-12-2015 | HIV and Technology (J Simoni and K Horvath, Section Editors)

Use of Technology to Address Substance Use in the Context of HIV: A Systematic Review

Authors: Sean D. Young, Dallas Swendeman, Ian W. Holloway, Cathy J. Reback, Uyen Kao

Published in: Current HIV/AIDS Reports | Issue 4/2015

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Abstract

Substance users are at elevated risk for HIV. HIV researchers, particularly at the intersection of HIV and substance use, have requested new methods to better understand and address this important area. New technologies, such as social media and mobile applications, are increasingly being used as research tools in studies on HIV and substance use. These technologies have the potential to build on existing recruitment methods, provide new and improved intervention methods, and introduce novel ways of monitoring and predicting new HIV cases. However, little work has been done to review and broadly explore the types of studies being conducted on the use of technologies to address HIV and substance use. This systematic literature review identified studies on this topic between 2005 and 2015. We identified 33 studies on this topic after excluding studies that did not fit inclusion criteria. Studies were either observational (n = 24) or interventional (n = 9), with the majority being pilot studies exploring the feasibility of using these new technologies to study HIV and substance use. We discuss the implications of this work along with limitations and recommendations for future research on this topic.
Literature
1.
go back to reference Chander G, Himelhoch S, Moore R. Substance abuse and psychiatric disorders in HIV-positive patients. Epidemiology and Impact on Antiretroviral Therapy. 2012. Chander G, Himelhoch S, Moore R. Substance abuse and psychiatric disorders in HIV-positive patients. Epidemiology and Impact on Antiretroviral Therapy. 2012.
2.
go back to reference Mathers B, Degenhardt L, Phillips B, Wiessing L, Hickman M, Strathdee S, et al. Global epidemiology of injecting drug use and HIV among people who inject drugs: a systematic review. Lancet. 2008;372(9651):1733–45.CrossRefPubMed Mathers B, Degenhardt L, Phillips B, Wiessing L, Hickman M, Strathdee S, et al. Global epidemiology of injecting drug use and HIV among people who inject drugs: a systematic review. Lancet. 2008;372(9651):1733–45.CrossRefPubMed
3.
go back to reference Catania JA, Osmond D, Stall RD, Pollack L, Paul JP, Blower S, et al. The continuing HIV epidemic among men who have sex with men. Am J Public Health. 2001;91(6):907–14.PubMedCentralCrossRefPubMed Catania JA, Osmond D, Stall RD, Pollack L, Paul JP, Blower S, et al. The continuing HIV epidemic among men who have sex with men. Am J Public Health. 2001;91(6):907–14.PubMedCentralCrossRefPubMed
4.
go back to reference Hall H, Song R, Rhodes P, Prejean J, An Q, Lee L, et al. Estimation of HIV incidence in the United States. J Am Med Assoc. 2008;300(5):520–9.CrossRef Hall H, Song R, Rhodes P, Prejean J, An Q, Lee L, et al. Estimation of HIV incidence in the United States. J Am Med Assoc. 2008;300(5):520–9.CrossRef
5.•
go back to reference Young SD, Shoptaw S. Stimulant use among African American and Latino MSM social networking users. J Addict Dis. 2013;32(1):39–45. High rates of cocaine (17 %) and methamphetamine (15.3 %) usage (both over 15 % in the past year), past 3 months coke (9.8 %) and methamphetamine (8.9 %). Young SD, Shoptaw S. Stimulant use among African American and Latino MSM social networking users. J Addict Dis. 2013;32(1):39–45. High rates of cocaine (17 %) and methamphetamine (15.3 %) usage (both over 15 % in the past year), past 3 months coke (9.8 %) and methamphetamine (8.9 %).
6.
go back to reference CDC. Prevalence and awareness of HIV infection among men who have sex with men: 21 cities, United States, 2008. Morb Mortal Wkly Rep. 2010;59:1201–7. CDC. Prevalence and awareness of HIV infection among men who have sex with men: 21 cities, United States, 2008. Morb Mortal Wkly Rep. 2010;59:1201–7.
7.
go back to reference Lenhart, A., 2015. Teens, social media, & technology overview. Pew Research Center. 2015. Lenhart, A., 2015. Teens, social media, & technology overview. Pew Research Center. 2015.
8.
go back to reference Lenhart, A., Purcell, K., Smith, A. & Zichuhr, K., 2010. Social media & mobile internet use among teens and young adults. Pew Internet & American Life Project. Lenhart, A., Purcell, K., Smith, A. & Zichuhr, K., 2010. Social media & mobile internet use among teens and young adults. Pew Internet & American Life Project.
10.•
go back to reference Horvath KJ, Carrico AW, Simoni J, Boyer EW, Amico KR, Petroll AE. Engagement in HIV medical care and technology use among stimulant-using and nonstimulant-using men who have sex with men. AIDS Res Treat. 2013;2013:121352. Stimulant use is much higher in those who missed HIV medical appointments, and stimulant users also deemed HIV medical appointment to be less important (non-engagement in HIV medical care). 18.97 prevalence for stimulant use. Horvath KJ, Carrico AW, Simoni J, Boyer EW, Amico KR, Petroll AE. Engagement in HIV medical care and technology use among stimulant-using and nonstimulant-using men who have sex with men. AIDS Res Treat. 2013;2013:121352. Stimulant use is much higher in those who missed HIV medical appointments, and stimulant users also deemed HIV medical appointment to be less important (non-engagement in HIV medical care). 18.97 prevalence for stimulant use.
11.
go back to reference Morgan E, Snelson C, Elison-Bowers P. Image and video disclosure of substance use on social media websites. Comput Hum Behav. 2010;26(6):1405–11.CrossRef Morgan E, Snelson C, Elison-Bowers P. Image and video disclosure of substance use on social media websites. Comput Hum Behav. 2010;26(6):1405–11.CrossRef
12.
go back to reference Young S, Rivers C, Lewis B. Methods of using real-time social media technologies for detection and remote monitoring of HIV outcomes. Prev Med. 2014;63:112–5.PubMedCentralCrossRefPubMed Young S, Rivers C, Lewis B. Methods of using real-time social media technologies for detection and remote monitoring of HIV outcomes. Prev Med. 2014;63:112–5.PubMedCentralCrossRefPubMed
13.
go back to reference Young S, Cumberland W, Nianogo R, Menacho L, Galea J, Coates T. The HOPE social media intervention for global prevention in Peru: a cluster randomized controlled trial. Lancet HIV. 2014;2(1):e27–32.PubMedCentralCrossRef Young S, Cumberland W, Nianogo R, Menacho L, Galea J, Coates T. The HOPE social media intervention for global prevention in Peru: a cluster randomized controlled trial. Lancet HIV. 2014;2(1):e27–32.PubMedCentralCrossRef
14.
go back to reference Landovitz R, Tseng C, Weissman M, Haymer M. Mendenhall B, Rodgers K, et al. 2012. Epidemiology, sexual risk behavior, and HIV prevention practices of men who have sex with men using GRINDR in Los Angeles, California. Journal of Urban Health: Bulletin of the New York Academy of Medicine, 90(4). Landovitz R, Tseng C, Weissman M, Haymer M. Mendenhall B, Rodgers K, et al. 2012. Epidemiology, sexual risk behavior, and HIV prevention practices of men who have sex with men using GRINDR in Los Angeles, California. Journal of Urban Health: Bulletin of the New York Academy of Medicine, 90(4).
15.
go back to reference Young S, Rice E. Online social networking technologies, HIV knowledge, and sexual risk and testing behaviors among homeless youth. AIDS Behav. 2010;15(2):253–60.PubMedCentralCrossRef Young S, Rice E. Online social networking technologies, HIV knowledge, and sexual risk and testing behaviors among homeless youth. AIDS Behav. 2010;15(2):253–60.PubMedCentralCrossRef
16.
go back to reference Reback CJ, Grant DL, Fletcher JB, Branson CM, Shoptaw S, Bowers JR, et al. Text messaging reduces HIV risk behaviors among methamphetamine-using men who have sex with men. AIDS Behav. 2012;16(7):1993–2002.CrossRefPubMed Reback CJ, Grant DL, Fletcher JB, Branson CM, Shoptaw S, Bowers JR, et al. Text messaging reduces HIV risk behaviors among methamphetamine-using men who have sex with men. AIDS Behav. 2012;16(7):1993–2002.CrossRefPubMed
17.
go back to reference Seth N, Hulda B, Larson P. Efficacy of computer technology-based HIV prevention interventions: a meta-analysis. AIDS. 2009;23(1):107–15.CrossRef Seth N, Hulda B, Larson P. Efficacy of computer technology-based HIV prevention interventions: a meta-analysis. AIDS. 2009;23(1):107–15.CrossRef
18.•
go back to reference Parsons JT, Vial AC, Starks TJ, Golub SA. Recruiting drug using men who have sex with men in behavioral intervention trials: a comparison of internet and field-based strategies. AIDS Behav. 2013;17(2):688–99. Men recruited online were more likely to have tried a variety of drugs, such as methamphetamine (22.4 %), cocaine (32.6 %), ecstasy (16.3 %), ketamine (6.6 %), GHB (11.4 %), poppers (42.9 %), and at least one club drug (65.3 %).PubMedCentralCrossRefPubMed Parsons JT, Vial AC, Starks TJ, Golub SA. Recruiting drug using men who have sex with men in behavioral intervention trials: a comparison of internet and field-based strategies. AIDS Behav. 2013;17(2):688–99. Men recruited online were more likely to have tried a variety of drugs, such as methamphetamine (22.4 %), cocaine (32.6 %), ecstasy (16.3 %), ketamine (6.6 %), GHB (11.4 %), poppers (42.9 %), and at least one club drug (65.3 %).PubMedCentralCrossRefPubMed
19.
go back to reference Holloway IW. Substance use homophily among geosocial networking application using gay, bisexual and other men who have sex with men. Arch Sex Behav. 2015;44(7):1799–811.CrossRefPubMed Holloway IW. Substance use homophily among geosocial networking application using gay, bisexual and other men who have sex with men. Arch Sex Behav. 2015;44(7):1799–811.CrossRefPubMed
20.
go back to reference Hasin DS, Aharonovich E, O'Leary A, Greenstein E, Pavlicova M, Arunajadai S, et al. Reducing heavy drinking in HIV primary care: a randomized trial of brief intervention, with and without technological enhancement. Addiction. 2013;108(7):1230–40.PubMedCentralCrossRefPubMed Hasin DS, Aharonovich E, O'Leary A, Greenstein E, Pavlicova M, Arunajadai S, et al. Reducing heavy drinking in HIV primary care: a randomized trial of brief intervention, with and without technological enhancement. Addiction. 2013;108(7):1230–40.PubMedCentralCrossRefPubMed
21.•
go back to reference Hasin DS, Aharonovich E, Greenstein E. HealthCall for the smartphone: technology enhancement of brief intervention in HIV alcohol dependent patients. Addict Sc Clin Pract. 2014;9:5. Smartphone apps: (1) daily greetings/goodbye, (2) self-monitoring of drinking, drug use, adherence, and sexual risk behavior, (3) self-awareness of drinking reduction goals, and (4) graphical representation of the progress. Patients were highly satisfied with the app.CrossRef Hasin DS, Aharonovich E, Greenstein E. HealthCall for the smartphone: technology enhancement of brief intervention in HIV alcohol dependent patients. Addict Sc Clin Pract. 2014;9:5. Smartphone apps: (1) daily greetings/goodbye, (2) self-monitoring of drinking, drug use, adherence, and sexual risk behavior, (3) self-awareness of drinking reduction goals, and (4) graphical representation of the progress. Patients were highly satisfied with the app.CrossRef
22.
go back to reference Swendeman D, Ramanathan N, Baetscher L, Medich M, Scheffler A, Comulada WS, et al. 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 AIDS J Acquir Immune Defic Syndr. 2015;69:S80–91.CrossRefPubMed Swendeman D, Ramanathan N, Baetscher L, Medich M, Scheffler A, Comulada WS, et al. 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 AIDS J Acquir Immune Defic Syndr. 2015;69:S80–91.CrossRefPubMed
23.
go back to reference Jenkins RJ, McAlaney J, McCambridge J. Change over time in alcohol consumption in control groups in brief intervention studies: systematic review and meta-regression study. Drug Alcohol Depend. 2009;100:107–14.CrossRefPubMed Jenkins RJ, McAlaney J, McCambridge J. Change over time in alcohol consumption in control groups in brief intervention studies: systematic review and meta-regression study. Drug Alcohol Depend. 2009;100:107–14.CrossRefPubMed
24.
go back to reference McCambridge J. [Commentary] Research assessments: instruments of bias and brief interventions of the future? Addiction. 2009;104:1311–2.CrossRefPubMed McCambridge J. [Commentary] Research assessments: instruments of bias and brief interventions of the future? Addiction. 2009;104:1311–2.CrossRefPubMed
25.
go back to reference Reback CJ, 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;19:S130–41.CrossRef Reback CJ, 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;19:S130–41.CrossRef
26.•
go back to reference Ingersoll K, Dillingham R, Reynolds G, Hettema J, Freeman J, Hosseinbor S, et al. Development of a personalized bidirectional text messaging tool for HIV adherence assessment and intervention among substance abusers. J Subst Abus Treat. 2014;46(1):66–73. Four different types of queries: (1) mood, (2) substance use, (3) medication adherence based on schedule, and (4) encouraging texts. Participants were required to reply. Messages were sent for 3 months. It is acceptable and feasible.CrossRef Ingersoll K, Dillingham R, Reynolds G, Hettema J, Freeman J, Hosseinbor S, et al. Development of a personalized bidirectional text messaging tool for HIV adherence assessment and intervention among substance abusers. J Subst Abus Treat. 2014;46(1):66–73. Four different types of queries: (1) mood, (2) substance use, (3) medication adherence based on schedule, and (4) encouraging texts. Participants were required to reply. Messages were sent for 3 months. It is acceptable and feasible.CrossRef
27.•
go back to reference Moore, D. J., Montoya, J. L., Blackstone, K., Rooney, A., Gouaux, B., Georges, S., … Tmarc Group, T. (2013). 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 Research and Treatment, 2013, 585143. Participants were able to customize daily adherence reminders and reinforcement text messages. In addition, the study sent daily methamphetamine usage assessment to the participants. Participants were asked to respond to the text yes/no. In general, participants found the intervention to be acceptable, understandable, satisfied, and mostly improving their adherence. Moore, D. J., Montoya, J. L., Blackstone, K., Rooney, A., Gouaux, B., Georges, S., … Tmarc Group, T. (2013). 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 Research and Treatment, 2013, 585143. Participants were able to customize daily adherence reminders and reinforcement text messages. In addition, the study sent daily methamphetamine usage assessment to the participants. Participants were asked to respond to the text yes/no. In general, participants found the intervention to be acceptable, understandable, satisfied, and mostly improving their adherence.
28.
go back to reference Marsch, L. A., Grabinski, M. J., Bickel, W. K., Desrosiers, A., Guarino, H., Muehlbach, B., Solhkhah, R., Taufique, S., Acosta, M. Computer-Assisted HIV Prevention for Youth With Substance Use Disorders. Substance Use & Misuse. 2011;46(1):46–56. doi:10.3109/10826084.2011.521088 Marsch, L. A., Grabinski, M. J., Bickel, W. K., Desrosiers, A., Guarino, H., Muehlbach, B., Solhkhah, R., Taufique, S., Acosta, M. Computer-Assisted HIV Prevention for Youth With Substance Use Disorders. Substance Use & Misuse. 2011;46(1):46–56. doi:10.​3109/​10826084.​2011.​521088
29.•
go back to reference Lelutiu-Weinberger C, Pachankis JE, Gamarel KE, Surace A, Golub SA, Parsons JT. Feasibility, acceptability, and preliminary efficacy of a live-chat social media intervention to reduce HIV risk among young men who have sex with men. AIDS Behav. 2015;19(7):1214–27. Eight 1-hour motivational interviewing and cognitive behavioral live chat (Facebook Message) intervention sessions (i.e., sexual risk behavior, drugs, and self-efficacy, self-monitoring). Participants in the intervention group were found to reduce the days of drug and alcohol use in the past month, and instances of anal sex without a condom, and increased knowledge of HIV-related risks.CrossRefPubMed Lelutiu-Weinberger C, Pachankis JE, Gamarel KE, Surace A, Golub SA, Parsons JT. Feasibility, acceptability, and preliminary efficacy of a live-chat social media intervention to reduce HIV risk among young men who have sex with men. AIDS Behav. 2015;19(7):1214–27. Eight 1-hour motivational interviewing and cognitive behavioral live chat (Facebook Message) intervention sessions (i.e., sexual risk behavior, drugs, and self-efficacy, self-monitoring). Participants in the intervention group were found to reduce the days of drug and alcohol use in the past month, and instances of anal sex without a condom, and increased knowledge of HIV-related risks.CrossRefPubMed
Metadata
Title
Use of Technology to Address Substance Use in the Context of HIV: A Systematic Review
Authors
Sean D. Young
Dallas Swendeman
Ian W. Holloway
Cathy J. Reback
Uyen Kao
Publication date
01-12-2015
Publisher
Springer US
Published in
Current HIV/AIDS Reports / Issue 4/2015
Print ISSN: 1548-3568
Electronic ISSN: 1548-3576
DOI
https://doi.org/10.1007/s11904-015-0295-3

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