The feasibility of using smartphones and mobile breathalyzers to monitor alcohol consumption among people living with HIV/AIDS

Carolyn Lauckner, Erica Taylor, Darshti Patel, Alexis Whitmire, Carolyn Lauckner, Erica Taylor, Darshti Patel, Alexis Whitmire

Abstract

Background: For people living with HIV/AIDS (PLWHA), alcohol consumption is associated with poor treatment outcomes and medication adherence. This pilot study examined the feasibility of using smartphones and mobile Bluetooth breathalyzers for monitoring alcohol consumption among PLWHA (N = 17).

Methods: For 2 weeks, participants responded to twice-daily text message prompts by completing a breathalyzer reading and a mobile survey about their alcohol use. They also completed baseline questionnaires assessing alcohol consumption and hazardous drinking behaviors.

Results: Participants completed an average of 22 of 28 breathalyzer readings and 17 of 28 mobile surveys, and were more likely to complete daytime (vs. evening) monitoring tasks. Results suggested that self-reported frequency of binge drinking at baseline was related to an increased number of days with alcohol consumption according to breathalyzer and mobile surveys, as well as a higher average blood alcohol content. Qualitative interviews found generally positive attitudes toward the technologies, but some participants reported experiencing technical difficulties.

Conclusions: Overall, this preliminary research suggests that smartphone monitoring of alcohol consumption among PLWHA may reflect cross-sectional self-reported alcohol consumption behaviors, but could use improvements to increase adherence to monitoring tasks.

Keywords: Alcohol use; Electronic momentary assessment; HIV/AIDS; mHealth.

Conflict of interest statement

The authors declare that they have no competing interests.

References

    1. Lefevre F, O’Leary B, Moran M, Mossar M, Yarnold PR, Martin GJ, et al. Alcohol consumption among HIV-infected patients. J Gen Intern Med. 1995;10(8):458–460. doi: 10.1007/BF02599920.
    1. Samet JH, Phillips SJ, Horton NJ, Traphagen ET, Freedberg KA. Detecting alcohol problems in HIV-infected patients: use of the CAGE questionnaire. AIDS Res Hum Retroviruses. 2004;20(2):151–155. doi: 10.1089/088922204773004860.
    1. Parsons JT, Rosof E, Mustanski B. The temporal relationship between alcohol consumption and HIV-medication adherence: a multilevel model of direct and moderating effects. Health Psychol. 2008;27(5):628. doi: 10.1037/a0012664.
    1. Samet JH, Horton NJ, Meli S, Freedberg KA, Palepu A. Alcohol consumption and antiretroviral adherence among HIV-infected persons with alcohol problems. Alcohol Clin Exp Res. 2004;28(4):572–577. doi: 10.1097/01.ALC.0000122103.74491.78.
    1. Parsons JT, Golub SA, Rosof E, Holder C. Motivational interviewing and cognitive-behavioral intervention to improve HIV medication adherence among hazardous drinkers: a randomized controlled trial. J Acquir Immune Defic Syndr. 2007;46(4):443–450. doi: 10.1097/QAI.0b013e318158a461.
    1. Velasquez MM, von Sternberg K, Johnson DH, Green C, Carbonari JP, Parsons JT. Reducing sexual risk behaviors and alcohol use among HIV-positive men who have sex with men: a randomized clinical trial. J Consult Clin Psychol. 2009;77(4):657–667. doi: 10.1037/a0015519.
    1. Samet JH, Walley AY. Interventions targeting HIV-infected risky drinkers. Alcohol Res Health. 2010;33:267–269.
    1. Satre DD, Leibowitz AS, Leyden W, Catz SL, Hare CB, Jang H, et al. Interventions to reduce unhealthy alcohol use among primary care patients with HIV: the Health and Motivation Randomized Clinical Trial. J Gen Intern Med. 2019;34(10):2054–2061. doi: 10.1007/s11606-019-05065-9.
    1. Scott-Sheldon LAJ, Carey KB, Johnson BT, Carey MP, The MASH Research Team Behavioral interventions targeting alcohol use among people living with HIV/AIDS: a systematic review and meta-analysis. AIDS Behav. 2017;21(2):126–143. doi: 10.1007/s10461-017-1886-3.
    1. Edelman EJ, Williams EC, Marshall BDL. Addressing unhealthy alcohol use among people living with HIV: recent advances and research directions. Curr Opin Infect Dis. 2018;31(1):1–7. doi: 10.1097/QCO.0000000000000422.
    1. Reif S, Golin C, Smith S. Barriers to accessing HIV/AIDS care in North Carolina: rural and urban differences. AIDS Care. 2005;17(5):558–565. doi: 10.1080/09540120412331319750.
    1. 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):1230–1240. doi: 10.1111/add.12127.
    1. Hasin DS, Aharonovich E, Greenstein E. HealthCall for the smartphone: technology enhancement of brief intervention in HIV alcohol dependent patients. Addict Sci Clin Pract. 2014;9(1):5. doi: 10.1186/1940-0640-9-5.
    1. Morgenstern J, Kuerbis A, Muench F. Ecological momentary assessment and alcohol use disorder treatment. Alcohol Res. 2014;36(1):101–109.
    1. Moore RC, Kaufmann CN, Rooney AS, Moore DJ, Eyler LT, Granholm E, et al. Feasibility and acceptability of ecological momentary assessment of daily functioning among older adults with HIV. Am J Geriatr Psychiatry. 2017;25(8):829–840. doi: 10.1016/j.jagp.2016.11.019.
    1. Paolillo EW, Obermeit LC, Tang B, Depp CA, Vaida F, Moore DJ, et al. Smartphone-based ecological momentary assessment (EMA) of alcohol and cannabis use in older adults with and without HIV infection. Addict Behav. 2018;83:102–108. doi: 10.1016/j.addbeh.2017.10.016.
    1. Przybyla SM, Eliseo-Arras RK, Krawiec G, Gower E, Dermen K. Feasibility and acceptability of a smartphone app for daily reports of substance use and antiretroviral therapy adherence among HIV-infected adults. AIDS Res Treat. 2016;2016:1–12. doi: 10.1155/2016/9510172.
    1. Swendeman D, Comulada WS, Ramanathan N, Lazar M, Estrin D. Reliability and validity of daily self-monitoring by smartphone application for health-related quality-of-life, antiretroviral adherence, substance use, and sexual behaviors among people living with HIV. AIDS Behav. 2015;19(2):330. doi: 10.1007/s10461-014-0923-8.
    1. Collins RL, Kashdan TB, Gollnisch G. The feasibility of using cellular phones to collect ecological momentary assessment data: application to alcohol consumption. Exp Clin Psychopharmacol. 2003;11(1):73. doi: 10.1037/1064-1297.11.1.73.
    1. Hensel DJ, Fortenberry JD, Harezlak J, Craig D. The feasibility of cell phone based electronic diaries for STI/HIV research. BMC Med Res Methodol. 2012;12(1):1. doi: 10.1186/1471-2288-12-75.
    1. Babor TF, de la Fuente JR, Saunders J, Grant M. The alcohol use disorders identification test: guidelines for use in primary care. Geneva: World Health Organization; 2011.
    1. Mayfield D, McLeod G, Hall P. The CAGE questionnaire: validation of a new alcoholism screening instrument. Am J Psychiatry. 1974;131(10):1121–1123.
    1. Strauss A, Corbin J. Basics of qualitative research: techniques and procedures for developing grounded theory. Newbury Park: Sage Publications, Inc; 1998.
    1. Muraven M, Collins RL, Shiffman S, Paty JA. Daily fluctuations in self-control demands and alcohol intake. Psychol Addict Behav. 2005;19(2):140–147. doi: 10.1037/0893-164X.19.2.140.
    1. American Addiction Centers. How long does alcohol stay in your system? 2019. .
    1. Shiffman S, Stone AA, Hufford MR. Ecological momentary assessment. Annu Rev Clin Psychol. 2008;4(1):1–32. doi: 10.1146/annurev.clinpsy.3.022806.091415.
    1. Jones A, Remmerswaal D, Verveer I, Robinson E, Franken IHA, Wen CKF, et al. Compliance with ecological momentary assessment protocols in substance users: a meta-analysis. Addiction. 2019;114(4):609–619. doi: 10.1111/add.14503.

Source: PubMed

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