Feasibility and Acceptability of an mHealth-Based Approach as an HIV Prevention Strategy Among People Who Use Drugs on Pre-Exposure Prophylaxis

References

• Peters PJ, Pontones P, Hoover KW, et al. HIV infection linked to injection use of oxymorphone in Indiana, 2014–2015. N Engl J Med. 2016;375(3):229–239. doi:10.1056/NEJMoa1515195
   PubMed Web of Science ®Google Scholar
• Van Handel MM, Rose CE, Hallisey EJ, et al. County-level vulnerability assessment for rapid dissemination of HIV or HCV infections among persons who inject drugs, United States. J Acquir Immune Defic Syndr. 2016;73(3):323–331. doi:10.1097/QAI.0000000000001098
   PubMed Web of Science ®Google Scholar
• Substance Abuse and Mental Health Services Administration. Key substance use and mental health indicators in the United States: results from the 2016 national survey on drug use and health. In: Center for Behavioral Health Statistics and Quality, Substance Abuse and Mental Health Services Administration (SAMHSA) NSDUH Data Review. Vol. HHS Publication. No. SMA 17-5044. Rockville, MD: Substance Abuse and Mental Health Services Administration; 2017. Available from: https://www samhsa gov/data/sites/default/files/NSDUH-FFR1-2016/NSDUH-FFR1-2016 htm Published September. Accessed January 8, 2020.
   Google Scholar
• Lankenau SE, Teti M, Silva K, Bloom JJ, Harocopos A, Treese M. Patterns of prescription drug misuse among young injection drug users. J Urban Health. 2012;89(6):1004–1016. doi:10.1007/s11524-012-9691-9
   PubMed Web of Science ®Google Scholar
• Jordan AE, Jarlais DD, Hagan H. Prescription opioid misuse and its relation to injection drug use and hepatitis C virus infection: protocol for a systematic review and meta-analysis. Syst Rev. 2014;3:95. doi:10.1186/2046-4053-3-95
   Google Scholar
• Perlman DC, Des Jarlais DC, Feelemyer J. Can HIV and hepatitis C virus infection be eliminated among persons who inject drugs? J Addict Dis. 2015;34(2–3):198–205. doi:10.1080/10550887.2015.1059111
   PubMed Web of Science ®Google Scholar
• Centers for Disease Control and Prevention. Preexposure Prophylaxis for the Prevention of HIV Infection in the United States–2017 Update: A Clinical Practice Guideline. Atlanta, GA: Centers for Disease Control and Prevention; 2017.
   Google Scholar
• Grant RM, Lama JR, Anderson PL, et al. Preexposure chemoprophylaxis for HIV prevention in men who have sex with men. N Engl J Med. 2010;363(27):2587–2599. doi:10.1056/NEJMoa1011205
   PubMed Web of Science ®Google Scholar
• Baeten JM, Donnell D, Ndase P, et al. Antiretroviral prophylaxis for HIV prevention in heterosexual men and women. N Engl J Med. 2012;367(5):399–410. doi:10.1056/NEJMoa1108524
   PubMed Web of Science ®Google Scholar
• Thigpen MC, Kebaabetswe PM, Paxton LA, et al. Antiretroviral preexposure prophylaxis for heterosexual HIV transmission in Botswana. N Engl J Med. 2012;367(5):423–434. doi:10.1056/NEJMoa1110711
   PubMed Web of Science ®Google Scholar
• Van Damme L, Corneli A, Ahmed K, et al. Preexposure prophylaxis for HIV infection among African Women. N Engl J Med. 2012;367(5):411–422. doi:10.1056/NEJMoa1202614
   PubMed Web of Science ®Google Scholar
• Choopanya K, Martin M, Suntharasamai P, et al. Antiretroviral prophylaxis for HIV infection in injecting drug users in Bangkok, Thailand (the Bangkok Tenofovir Study): a randomised, double-blind, placebo-controlled Phase 3 trial. Lancet. 2013;381(9883):2083–2090. doi:10.1016/S0140-6736(13)61127-7
   PubMed Web of Science ®Google Scholar
• Dimitrov DT, MÂSse BR, Donnell D. PrEP adherence patterns strongly impact individual HIV risk and observed efficacy in randomized clinical trials. J Acquir Immune Defic Syndr. 2016;72(4):444–451. doi:10.1097/QAI.0000000000000993
   Web of Science ®Google Scholar
• Riddell J, Amico K, Mayer KH. Hiv preexposure prophylaxis: a review. JAMA. 2018;319(12):1261–1268. doi:10.1001/jama.2018.1917
   PubMed Web of Science ®Google Scholar
• Ali B, Seitz-Brown CJ, Daughters SB. The interacting effect of depressive symptoms, gender, and distress tolerance on substance use problems among residential treatment-seeking substance users. Drug Alcohol Depend. 2015;148:21–26. doi:10.1016/j.drugalcdep.2014.11.024
   PubMed Web of Science ®Google Scholar
• Shrestha R, Huedo-Medina T, Altice F, Krishnan A, Copenhaver M. Examining the acceptability of mhealth technology in HIV prevention among high-risk drug users in treatment. AIDS Behav. 2016;21(11):3100–3110.
   Web of Science ®Google Scholar
• Huedo-Medina TB, Shrestha R, Copenhaver M. Modeling a theory-based approach to examine the influence of neurocognitive impairment on HIV risk reduction behaviors among drug users in treatment. AIDS Behav. 2016;20(8):1646–1657. doi:10.1007/s10461-016-1394-x
   PubMed Web of Science ®Google Scholar
• Mackesy-Amiti ME, Donenberg GR, Ouellet LJ. Prescription opioid misuse and mental health among young injection drug users. Am J Drug Alcohol Abuse. 2015;41(1):100–106. doi:10.3109/00952990.2014.940424
   PubMed Web of Science ®Google Scholar
• Sypsa V, Paraskevis D, Malliori M, et al. Homelessness and other risk factors for HIV infection in the current outbreak among injection drug users in Athens, Greece. Am J Public Health. 2015;105(1):196–204. doi:10.2105/AJPH.2013.301656
   PubMed Web of Science ®Google Scholar
• Free C, Phillips G, Galli L, et al. The effectiveness of mobile-health technology-based health behaviour change or disease management interventions for health care consumers: a systematic review. PLoS Med. 2013;10(1):e1001362. doi:10.1371/journal.pmed.1001362
   PubMed Web of Science ®Google Scholar
• Milward J, Lynskey M, Strang J. Solving the problem of non-attendance in substance abuse services. Drug Alcohol Rev. 2014;33(6):625–636. doi:10.1111/dar.2014.33.issue-6
   PubMed Web of Science ®Google Scholar
• Mbuagbaw L, van der Kop ML, Lester RT, et al. Mobile phone text messages for improving adherence to antiretroviral therapy (ART): an individual patient data meta-analysis of randomised trials. BMJ Open. 2013;3(12):e003950.
   PubMed Web of Science ®Google Scholar
• Shrestha R, Karki P, Copenhaver M. Interest in use of mHealth technology in HIV prevention and associated factors among high-risk drug users enrolled in methadone maintenance program. AIDS Care. 2017;29(9):1144–1148. doi:10.1080/09540121.2017.1325439
   PubMed Web of Science ®Google Scholar
• Hall AK, Cole-Lewis H, Bernhardt JM. Mobile text messaging for health: a systematic review of reviews. Annu Rev Public Health. 2015;36(1):393–415. doi:10.1146/annurev-publhealth-031914-122855
   PubMed Web of Science ®Google Scholar
• Mbuagbaw L, Mursleen S, Lytvyn L, Smieja M, Dolovich L, Thabane L. Mobile phone text messaging interventions for HIV and other chronic diseases: an overview of systematic reviews and framework for evidence transfer. BMC Health Serv Res. 2015;15(1):33. doi:10.1186/s12913-014-0654-6
   Web of Science ®Google Scholar
• Moore DJ, Jain S, Dubé MP, et al. Randomized controlled trial of daily text messages to support adherence to preexposure prophylaxis in individuals at risk for human immunodeficiency virus: the TAPIR study. Clin Infect Dis. 2018;66(10):1566–1572. doi:10.1093/cid/cix1055
   PubMed Web of Science ®Google Scholar
• Montoya JL, Georges S, Poquette A, Depp CA, Atkinson JH, Moore DJ. the translational methamphetamine ARCG: refining a personalized mhealth intervention to promote medication adherence among HIV+ methamphetamine users. AIDS Care. 2014;26(12):1477–1481. doi:10.1080/09540121.2014.924213
   PubMed Web of Science ®Google Scholar
• Shrestha R, Altice FL, Karki P, Copenhaver MM. Integrated bio-behavioral approach to improve adherence to pre-exposure prophylaxis and reduce HIV risk in people who use drugs: a pilot feasibility study. AIDS Behav. 2018;22:2640–2649. doi:10.1007/s10461-018-2099-0
   PubMed Web of Science ®Google Scholar
• Shrestha R, Altice F, Karki P, Copenhaver M. Developing an integrated, brief bio-behavioral HIV prevention intervention for high risk drug users in treatment: the process and outcome of formative research. Front Immunol. 2017;8:561. doi:10.3389/fimmu.2017.00561
   Web of Science ®Google Scholar
• Dowling-Guyer S, Johnson ME, Fisher DG, et al. Reliability of drug users’ self-reported HIV risk behaviors and validity of self-reported recent drug use. Assessment. 1994;1(4):383–392. doi:10.1177/107319119400100407
   Google Scholar
• Wilson IB, Lee Y, Michaud J, Fowler FJ, Rogers WH. Validation of a new three-item self-report measure for medication adherence. AIDS Behav. 2016;20(11):2700–2708. doi:10.1007/s10461-016-1406-x
   PubMed Web of Science ®Google Scholar
• Tarnowski KJ, Simonian SJ. Assessing treatment acceptance: the abbreviated acceptability rating profile. J Behav Ther Exp Psychiatry. 1992;23(2):101–106. doi:10.1016/0005-7916(92)90007-6
   PubMed Web of Science ®Google Scholar
• Shrestha R, Huedo-Medina TB, Altice FL, Krishnan A, Copenhaver M. Examining the acceptability of mHealth technology in HIV prevention among high-risk drug users in treatment. AIDS Behav. 2017;21(11):3100–3110. doi:10.1007/s10461-016-1637-x
   Web of Science ®Google Scholar
• 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;4:116–122. doi:10.2174/1874613601004030116
   PubMedGoogle Scholar
• Kim J, Zhang W, Nyonyitono M, et al. Feasibility and acceptability of mobile phone short message service as a support for patients receiving antiretroviral therapy in rural Uganda: a cross-sectional study. J Int AIDS Soc. 2015;18(1):20311. doi:10.7448/IAS.18.1.20311
   PubMed Web of Science ®Google Scholar
• Rana Y, Haberer J, Huang H, et al. Short Message Service (SMS)-based intervention to improve treatment adherence among HIV-positive youth in uganda: focus group findings. PLoS One. 2015;10(4):e0125187. doi:10.1371/journal.pone.0125187
   PubMed Web of Science ®Google Scholar
• Nachega JB, Skinner D, Jennings L, et al. Acceptability and feasibility of mHealth and community-based directly observed antiretroviral therapy to prevent mother-to-child HIV transmission in South African pregnant women under option B+: an exploratory study. Patient Prefer Adherence. 2016;10:683–690. doi:10.2147/PPA
   PubMed Web of Science ®Google Scholar
• Bonar EE, Cunningham RM, Collins RL, et al. Feasibility and acceptability of text messaging to assess daily substance use and sexual behaviors among urban emerging adults. Addict Res Theory. 2018;26(2):103–113. doi:10.1080/16066359.2017.1310205
   PubMed Web of Science ®Google Scholar
• Dowshen N, Kuhns ML, Johnson A, Holoyda JB, 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;14(2):e51. doi:10.2196/jmir.2015
   PubMed Web of Science ®Google Scholar
• Patel AR, Kessler J, Braithwaite RS, et al. Economic evaluation of mobile phone text message interventions to improve adherence to HIV therapy in Kenya. Medicine. 2017;96(7):e6078. doi:10.1097/MD.0000000000006078
   PubMed Web of Science ®Google Scholar
• Siedner MJ, Haberer JE, Bwana MB, Ware NC, Bangsberg DR. High acceptability for cell phone text messages to improve communication of laboratory results with HIV-infected patients in rural Uganda: a cross-sectional survey study. BMC Med Inform Decis Mak. 2012;12:56. doi:10.1186/1472-6947-12-56
   PubMed Web of Science ®Google Scholar
• 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;97:41–48. doi:10.1016/j.socscimed.2013.08.003
   PubMed Web of Science ®Google Scholar
• 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.
   PubMed Web of Science ®Google Scholar
• Pérez GM, Hwang B, Bygrave H, Venables E. Designing text-messaging (SMS) in HIV programs: ethics-framed recommendations from the field. Pan Afr Med J. 2015;21:201. doi:10.11604/pamj.2015.21.201.6844
   PubMedGoogle Scholar
• Wald DS, Butt S, Bestwick JP. One-way versus two-way text messaging on improving medication adherence: meta-analysis of randomized trials. Am J Med. 2015;128(10):1139.e1131-1135. doi:10.1016/j.amjmed.2015.05.035
   Web of Science ®Google Scholar
• Ware NC, Pisarski EE, Tam M, et al. The meanings in the messages: how SMS reminders and real-time adherence monitoring improve antiretroviral therapy adherence in rural Uganda. Aids. 2016;30(8):1287–1294. doi:10.1097/QAD.0000000000001035
   PubMed Web of Science ®Google Scholar
• Sundar SS, Bellur S, Jia H. Motivational technologies: a theoretical framework for designing preventive health applications. In: Magnus B, Eva LR, editors Persuasive Technology Design for Health and Safety: 2012//2012. Berlin, Heidelberg: Springer Berlin Heidelberg; 2012:112–122.
   Google Scholar
• Nahum-Shani I, Smith SN, Spring BJ, et al. Just-in-Time Adaptive Interventions (JITAIs) in mobile health: key components and design principles for ongoing health behavior support. Ann Behav Med. 2018;52(6):446–462. doi:10.1007/s12160-016-9830-8
   PubMed Web of Science ®Google Scholar
• Spruijt-Metz D, Wen CK, O’Reilly G, et al. Innovations in the use of interactive technology to support weight management. Curr Obes Rep. 2015;4(4):510–519. doi:10.1007/s13679-015-0183-6
   PubMed Web of Science ®Google Scholar