A Systematic Review of Recent Smartphone, Internet and Web 2.0 Interventions to Address the HIV Continuum of Care
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eHealth, mHealth and “Web 2.0” social media strategies can effectively reach and engage key populations in HIV prevention across the testing, treatment, and care continuum. To assess how these tools are currently being used within the field of HIV prevention and care, we systematically reviewed recent (2013–2014) published literature, conference abstracts, and funded research. Our searches identified 23 published intervention studies and 32 funded projects underway. In this synthesis we describe the technology modes applied and the stages of the HIV care cascade addressed, including both primary and secondary prevention activities. Overall trends include use of new tools including social networking sites, provision of real-time assessment and feedback, gamification and virtual reality. While there has been increasing attention to use of technology to address the care continuum, gaps remain around linkage to care, retention in care, and initiation of antiretroviral therapy.
KeywordsmHealth eHealth Internet HIV Mobile phone Smartphone Social media Intervention Prevention
Compliance with Ethics Guidelines
Conflict of Interest
Kathryn E. Muessig, Manali Nekkanti, Jose Bauermeister, and Sheana Bull report that they have NIH-funded grants.
Lisa B. Hightow-Weidman reports personal fees from Gilead Sciences and personal fees from Janssen Therapeutics.
Human and Animal Rights and Informed Consent
This article does not contain any studies with human or animal subjects performed by any of the authors.
Papers of particular interest, published recently, have been highlighted as: • Of importance •• Of major importance
- 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. This article presents a detailed review of mHealth interventions to support HIV care (up to December 2011). See especially, the detailed assessment of these studies presented in the article’s Tables 1 and 2.CrossRefPubMedCentralPubMedGoogle Scholar
- 10.••Allison S, Bauermeister JA, Bull S, Lightfoot M, Mustanski B, Shegog R, et al. The intersection of youth, technology, and new media with sexual health: moving the research agenda forward. J Adolesc Health. 2012;51:207–12. This article summarizes proceedings and key recommendations from a March 2011 joint meeting of the Internet Sexuality Information Services, National Institute of Mental Health, and the Ford Foundation. The meeting aimed to address the state and possibilities of using new forms of technology for sexual health promotion research. Successful case studies were presented as well as topical discussions around research-community partnerships, research ethics, use of theory, intervention approaches, recruitment methods, and measuring impact.CrossRefPubMedCentralPubMedGoogle Scholar
- 22.Pew Resesarch Center Internet Project. “Cell Phone and Smartphone Ownership Demographics.” 2014. Available at: http://www.pewinternet.org/data-trend/mobile/cell-phone-and-smartphone-ownership-demographics/. Accessed 31 Oct 2014.
- 23.Pew Research Center Global Attitudes Project. “Emerging Nations Embrace Internet, Mobile Technology.” February 13, 2014. Available at: http://www.pewglobal.org/2014/02/13/emerging-nations-embrace-internet-mobile-technology/. Accessed 31 Oct 2014.
- 25.Horvath T, Azman H, Kennedy GE, Rutherford GW. Mobile phone text messaging for promoting adherence to antiretroviral therapy in patients with HIV infection. Cochrane Database Syst Rev 2012,3:Cd009756.Google Scholar
- 26.•Robustillo Cortes Mde L, Cantudo Cuenca MR, Morillo Verdugo R, Calvo Cidoncha E. High Quantity But Limited Quality in Healthcare Applications Intended for HIV-Infected Patients. Telemed J E Health. 2014;20:729–35. This article reviews available smartphone applications (up to May 2013) for HIV care. Specifically assesses the quality of information provided. Includes a novel weighted ranking system. Only 1 out of 41 apps received the highest score of “A”, while 27/41 (65.9%) scored in the lowest class, “F”, not even meeting minimal criteria. Includes Spanish-language apps.CrossRefPubMedGoogle Scholar
- 27.Duggan M, Smith A. Social Media Update 2013. Pew Research Internet Project. Washington DC; December 30, 2013. Available at: http://www.pewinternet.org/2013/12/30/social-media-update-2013/. Accessed 31 Oct 2014.
- 28.Grindr:The world’s biggest mobile network of guys. Available at: http://grindr.com/learn-more. Accessed 31 Oct 2014.
- 29.Lapowsky I. Tinder May Not Be Worth $5B, But It’s Way More Valuable Than You Think. In: Wired Magazine; published online April 11, 2014. Available at: http://www.wired.com/2014/04/tinder-valuation/. Accessed 31 Oct 14.
- 30.••Grov C, Breslow AS, Newcomb ME, Rosenberger JG, Bauermeister JA. Gay and bisexual men’s use of the Internet: research from the 1990s through 2013. J Sex Res. 2014;51:390–409. This article presents a thorough historical review of the role and evolution of the Internet and sex (and HIV research/intervention) for MSM. The review is divided and presented chronologically into the following periods: 1990s, 2000–2004, 2005–2009, and 2010–2014 – with this last period focused on the mobile web and social media.CrossRefPubMedCentralPubMedGoogle Scholar
- 31.•Christensen JL, Miller LC, Appleby PR, Corsbie-Massay C, Godoy CG, Marsella SC, et al. Reducing shame in a game that predicts HIV risk reduction for young adult MSM: a randomized trial delivered nationally over the Web. J Int AIDS Soc. 2013;16:18716. This article presents 3-month follow-up findings from SOLVE (Socially Optimized Learning in Virtual Environments), an online intervention aimed to reduce UAI indirectly via reduced stigma/shame. 3 month follow-up found significant shame reduction, p < 0.001; significant decrease in UAI: (point estimate −0.10, 95% CI [−0.01 to −0.23]. 6 month follow-up data is also significant and will be forthcoming in 2014–2015.CrossRefPubMedCentralPubMedGoogle Scholar
- 35.Fakhouri T. Data collection in games for health. YTH Live Conference. San Francisco, CA; April 6-8, 2014. Available at: http://www.slideshare.net/isisinc/data-collection-in-games-for-health .
- 36.Bauermeister J. Get Connected: A Tailored web intervention for young MSM. YTH Live Conference. San Francisco, CA; April 6-8, 2014. Available at: http://www.slideshare.net/isisinc/get-connected-a-tailored-web-intervention-for-young-msm.
- 37.Bonnet Rivera AM, Garcia Perez WG. Innovative Strategies to Expand Access to HIV testing, Increase linkage to Care Among High-Risk Latino Young Men who Have Sex With Men (YMSM) in Puerto Rico. United States Conference on AIDS. San Diego, CA; October 2–5, 2014. Abstract available at: http://www.nmac.org/pdf/Digital%20USCA%20Program%20Book%28Rev%209-29-2014%29.pdf , pg 117.
- 38.Jones R, Green K. Every Dose Every Day: Innovative E-learning Toolkit Supporting Prevention with Positive Persons. United States Conference on AIDS. San Diego, CA; October 2–5, 2014. Abstract available at: http://www.nmac.org/pdf/Digital%20USCA%20Program%20Book%28Rev%209-29-2014%29.pdf , pg 74.
- 39.Milam J, Jain S, Daar E, Dube M, Seefreid E, Ellorin E, et al. Controlled Trial of an Internet-Based Risk Reduction Intervention in HIV+ Men Who Have Sex With Men. In: Conference on Retroviruses and Opportunistic Infections (CROI). Boston, MA; March 3–6, 2014. Poster #943, http://croi2014.org/sites/default/files/uploads/CROI2014_Final_Abstracts.pdf.
- 41.•Danielson CK, McCauley JL, Jones AM, Borkman AL, Miller S, Ruggiero KJ. Feasibility of delivering evidence-based HIV/STI prevention programming to a community sample of African American teen girls via the internet. AIDS Educ Prev. 2013;25:394–404. This article presents a pilot study of a web adaptation of the CDC evidence-based intervention, Sistas, Informing, Healing, Living, and Empowering, among 41 African American women, age 13-18. Pre-post study, the authors found significant increases in HIV/STI risk knowledge and condom use self-efficacy.CrossRefPubMedCentralPubMedGoogle Scholar
- 44.US Centers for Disease Control and Prevention. National HIV Prevention Progress Report, 2013. Atlanta, GA; December, 2013. Available at: http://www.cdc.gov/hiv/pdf/policies_NationalProgressReport.pdf. Accessed 31 Oct 14.
- 45.UNAIDS. The Gap Report. Geneva; 2014. Available at: http://www.unaids.org/en/media/unaids/contentassets/documents/unaidspublication/2014/UNAIDS_Gap_report_en.pdf. Accessed 31 Oct 14.
- 46.Jones R, Hoover DR, Lacroix LJ. A randomized controlled trial of soap opera videos streamed to smartphones to reduce risk of sexually transmitted human immunodeficiency virus (HIV) in young urban African American women. Nurs Outlook 2013,61:205-215.e203.Google Scholar
- 49.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 epub ahead of print 26 September 2014. DOI: 10.1007/s10461-014-0911-z.
- 50.Marie J. How effectively eroding STD stigma facilitates prevention. STD Prevention Conference. Atlanta, GA; June 9-12, 2014. TP 51, Abstract available in: Sex Transm Diseases 2014,41(S1):S53.Google Scholar
- 51.Anand T, Ananworanich J, Parwati Merati T, Yunihastuti E, Imran D, Nitpolprasert C, et al. A culturally sensitive online communication campaign to reach hidden men who have sex with men for HIV/STI prevention and testing in Indonesia: TemanTeman.org. In: 7th IAS Conference on HIV Pathogenesis, Treatment, and Prevention. Kuala Lumpur, Malaysia; June 30 – July 3, 2013. Abstract #WEPE590, avilable at: http://pag.ias2013.org/Abstracts.aspx?AID=969. Accessed 10/31/2014
- 57.••Young SD, Cumberland WG, Lee SJ, Jaganath D, Szekeres G, Coates T. Social networking technologies as an emerging tool for HIV prevention: a cluster randomized trial. Ann Intern Med. 2013;159:318–24. Study presents an innovated online peer-leader diffusion of innovation intervention for minority MSM in the US which successfully increased ordering (and returning) of HIV home testing kits. Demonstrates the feasibility of using a social networking platform (Facebook) to promote testing among a key population.CrossRefPubMedGoogle Scholar
- 59.Gaysynsky A, Romansky-Poulin K, Arpadi S. “My YAP Family”: Analysis of a Facebook Group for Young Adults Living with HIV. AIDS Behav epub ahead of print, 5 September 2014. DOI: 10.1007/s10461-014-0887-8.
- 60.Marhefka SL, Iziduh S, Fuhrmann HJ, Lopez B, Glueckauf R, Lynn V, et al. Internet-based video-group delivery of Healthy Relationships–a “prevention with positives” intervention: report on a single group pilot test among women living with HIV. AIDS Care. 2013;25:904–9.CrossRefPubMedCentralPubMedGoogle Scholar
- 66.Muessig K, Baltierra N, Pike E, LeGrand S, Hightow-Weidman L. Achieving HIV risk reduction through healthmpowerment.org, a user-driven eHealth intervention for young black men who have sex with men and transgender women who have sex with men Digital Culture & Education 2014,6:164-182. Available at: http://www.digitalcultureandeducation.com/volume-6/muessig_et_al/
- 67.Albarracin D, Gillette JC, Earl AN, Glasman LR, Durantini MR, Ho MH. A test of major assumptions about behavior change: a comprehensive look at the effects of passive and active HIV-prevention interventions since the beginning of the epidemic. Psychol Bull. 2005;131:856–97.CrossRefPubMedCentralPubMedGoogle Scholar
- 68.•Schnall R, Travers J, Rojas M, Carballo-Dieguez A. eHealth interventions for HIV prevention in high-risk men who have sex with men: a systematic review. J Med Internet Res. 2014;16:e134. This systematic review (up to April 2014) for HIV prevention among MSM identified 13 relevant eHealth interventions. The diversity of outcomes and formats prevented meta-analysis but the authors conclude that findings are promising on a whole and recommend testing longer intervention periods. See especially Table 2 for comparative results.CrossRefPubMedCentralPubMedGoogle Scholar
- 75.eMarketer. Worldwide Smartphone Usage to Grow 25% in 2014: Nine countries to surpass 50% smartphone penetration this year. Published online, June 11, 2014. Available at: http://www.emarketer.com/Article/Worldwide-Smartphone-Usage-Grow-25-2014/1010920. Accessed 23 Nov 2014.
- 76.International Data Corporation (IDC Corporate USA). Smartphone OS Market Share, Q2 2014. Published online, October, 2014. Available at: http://www.idc.com/prodserv/smartphone-os-market-share.jsp. Accessed 23 Nov 2014.
- 77.Itaborahy LP, Zhu JS. State-sponsored Homophobia: A world survey of laws: Criminalisation, protection and recognition of same-sex love. International Lesbian Gay Bisexual Trans and Intersex Association, May 2013 Edition. Available at: http://old.ilga.org/Statehomophobia/ILGA_State_Sponsored_Homophobia_2013.pdf. Accessed 23 Nov 2014.
- 78.BBC News, China. China employs two million microblog monitors state media say. Published online, October 4, 2013. Available at: http://www.bbc.com/news/world-asia-china-24396957. Accessed 23 Nov 2014.
- 79.Reporters Without Borders for Freedom of Information. The Enemies of Internet, Special Edition: Surveillance; State Enemies: China. Available at: http://surveillance.rsf.org/en/china/. Accessed 23 Nov 2014.