Preliminary Efficacy of a Cognitive Behavioral Therapy Text Messaging Intervention Targeting Alcohol Use and Antiretroviral Therapy Adherence: A Randomized Clinical Trial

Suzette Glasner, Helene Chokron Garneau, Alfonso Ang, Lara Ray, Alexandra Venegas, Richard Rawson, Seth Kalichman, Suzette Glasner, Helene Chokron Garneau, Alfonso Ang, Lara Ray, Alexandra Venegas, Richard Rawson, Seth Kalichman

Abstract

This trial was registered with ClinicalTrials.gov, NCT02603471.

Conflict of interest statement

The authors have declared that no competing interests exist.

Figures

Fig 1. CONSORT flow diagram.
Fig 1. CONSORT flow diagram.
Fig 2. Alcohol use frequency (past 30…
Fig 2. Alcohol use frequency (past 30 days) from baseline to week 12 by treatment group.
Fig 3. Mean days of alcohol intoxication…
Fig 3. Mean days of alcohol intoxication (past 30 days) from baseline to week 12 by treatment group.
Fig 4. Mean ART adherence scores at…
Fig 4. Mean ART adherence scores at weeks 0, 4, 8, and 12 by treatment group.
Fig 5. Mean log viral load levels…
Fig 5. Mean log viral load levels as a function of treatment group at baseline and week 12.

References

    1. Egger M, May M, Chêne G, Phillips AN, Ledergerber B, Dabis F, et al. Prognosis of HIV-1-infected patients starting highly active antiretroviral therapy: a collaborative analysis of prospective studies. The Lancet. 2002. July 13;360(9327):119–29.
    1. Centers for Disease Control and Prevention. HIV in the United States: At a Glance. Available at . Accessibility verified April 30, 2019.
    1. Katzenstein DA. Adherence as a particular issue with protease inhibitors. Journal of the Association of Nurses in AIDS Care.1997;8(Suppl.), 10–17. 10.1016/s1055-3290(97)80003-9
    1. Safren SA, Otto MW, Worth J. Life-Steps: Applying cognitive-behavioral therapy to patient adherence to HIV medication treatment. Cognitive and Behavioral Practice. 1999;6, 332–341.
    1. Paterson DL, Swindells S, Mohr J, Brester M, Vergis EN, Squier C, et al. Adherence to Protease Inhibitor Therapy and Outcomes in Patients with HIV Infection. Ann Intern Med. 2000;133:21–30. 10.7326/0003-4819-133-1-200007040-00004
    1. Bangsberg DR, Perry S, Charlebois ED, Clark RA, Roberston M, Zolopa AR, et al. Non-adherence to highly active antiretroviral therapy predicts progression to AIDS. AIDS. 2000; 15(9):1181–1183. 10.1097/00002030-200106150-00015
    1. Volberding PA, Deeks SG. Antiretroviral therapy and management of HIV infection. Lancet. 2010; 376(9734):49–62. 10.1016/S0140-6736(10)60676-9
    1. Wood E, Hogg RS, Yip B, Harrigan PR, O'Shaughnessy MV, Montaner JS. Effect of medication adherence on survival of HIV-infected adults who start highly active antiretroviral therapy when the CD4+ cell count is 0.200 to 0.350 × 10(9) cells/L. Annals of internal medicine. 2003; 139(10):810–816. 10.7326/0003-4819-139-10-200311180-00008
    1. Gmel G, Shield KD, Rehm J. Developing a method to derive alcohol-attributable fractions for HIV/AIDS mortality based on alcohol's impact on adherence to antiretroviral medication. Population Health Metrics.2011; 9(1), 5 10.1186/1478-7954-9-5
    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 Psychology. 2008. September;27(5):628 10.1037/a0012664
    1. Kalichman SC, Grebler T, Amaral CM, McNerey M, White D, Kalichman MO, et al. Intentional non-adherence to medications among HIV positive alcohol drinkers: prospective study of interactive toxicity beliefs. Journal of general internal medicine. 2013. March 1;28(3):399–405. 10.1007/s11606-012-2231-1
    1. Pellowski JA, Kalichman SC, Kalichman MO, Cherry C. Alcohol-antiretroviral therapy interactive toxicity beliefs and daily medication adherence and alcohol use among people living with HIV. AIDS care. 2016. August 2;28(8):963–70. 10.1080/09540121.2016.1154134
    1. Hendershot CS, Stoner SA, Pantalone DW, Simoni JM. Alcohol use and antiretroviral adherence: Review and meta-analysis. Journal of Acquired Immune Deficiency Syndromes. 2009; 52(2):180–202. 10.1097/QAI.0b013e3181b18b6e
    1. Patrick K, Raab F, Adams M, Dillon L, Zabinski M, Rock CL, et al. A text message-based intervention for weight loss: Randomized controlled trial. Journal of Medical Internet Research. 2009; 11(1) 1–9. PMCID: PMC2729073.
    1. Franklin VL, Waller A, Pagliari C, Greene SA. A randomized controlled trial of Sweet Talk, a text-messaging system to support young people with diabetes. Diabetic Medicine. 2006; 23(12), 1332–1338. 10.1111/j.1464-5491.2006.01989.x
    1. Hurling R, Catt M, Boni MD, Fairley BW, Hurst T, Murray P, et al. Using Internet and mobile phone technology to deliver an automated physical activity program: Randomized controlled trial. Journal of Medical Internet Research. 2007; 9(2), e7. 10.2196/jmir.9.2.e7
    1. Puccio JA, Belzer M, Olson J, Martinez M, Salata C, Tucker D, et al. The use of cell phone reminder calls for assisting HIV-infected adolescents and young adults to adhere to highly active antiretroviral therapy: A pilot study. AIDS Patient Care and STDs. 2006; 20, 438–444. 10.1089/apc.2006.20.438
    1. Song T, Qian S, Yu P. Mobile health interventions for self-control of unhealthy alcohol use: systematic review. JMIR mHealth and uHealth. 2019;7(1):e10899 10.2196/10899
    1. Suffoletto B, Kristan J, Chung T, Jeong K, Fabio A, Monti P, et al. An interactive text message intervention to reduce binge drinking in young adults: a randomized controlled trial with 9-month outcomes. PloS one. 2015. November 18;10(11):e0142877 10.1371/journal.pone.0142877
    1. Song T, Qian S, Yu P. Mobile Health Interventions for Self-Control of Unhealthy Alcohol Use: Systematic Review. JMIR Mhealth Uhealth. 2019;7(1):e10899 Published 2019 Jan 29. 10.2196/10899
    1. Quintana Y, Martorell EA, Fahy D, Safran C. A Systematic Review on Promoting Adherence to Antiretroviral Therapy in HIV-infected Patients Using Mobile Phone Technology. Applied Clinical Informatics. 2018. April;9(02):450–66.
    1. 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 of Systematic Reviews. 2012(3).
    1. 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 10.1371/journal.pone.0088166
    1. Velthoven MV, Brusamento S, Majeed A, Car J. Scope and effectiveness of mobile phone messaging for HIV/AIDS care: a systematic review. Psychology, health & medicine. 2013. March 1;18(2):182–202.
    1. Hall AK, Cole-Lewis H, Bernhardt JM. Mobile text messaging for health: a systematic review of reviews. Annual review of public health. 2015. March 18;36:393–415. 10.1146/annurev-publhealth-031914-122855
    1. Morgenstern J, Kuerbis A, Muench F. Ecological Momentary Assessment and Alcohol Use Disorder Treatment. Alcohol Res. 2014;36(1):101–109.
    1. Dulin PL, Gonzalez VM, Campbell K. Results of a pilot test of a self-administered smartphone-based treatment system for alcohol use disorders: usability and early outcomes. Subst Abus. 2014;35(2):168–175. 10.1080/08897077.2013.821437
    1. Gustafson DH, McTavish FM, Chih MY, et al. A smartphone application to support recovery from alcoholism: a randomized clinical trial. JAMA Psychiatry. 2014;71(5):566–572. 10.1001/jamapsychiatry.2013.4642
    1. Riley WT, Rivera DE, Atienza AA, Nilsen W, Allison SM, Mermelstein R. Health behavior models in the age of mobile interventions: are our theories up to the task?. Transl Behav Med. 2011;1(1):53–71. 10.1007/s13142-011-0021-7
    1. Safren SA, O’Cleirigh CO, Tan JY, Raminani SR, Reilly LC, Otto MW, et al. A randomized controlled trial of cognitive behavioral therapy for adherence and depression (CBT-AD) in HIV-infected individuals. Health Psychology. 2009; 28, 1–10. 10.1037/a0012715
    1. Safren SA, Otto MW, Worth J, Salomon E, Johnson W, Mayer K, et al. Two strategies to increase adherence to HIV antiretroviral medication: Life-Steps and medication monitoring. Behavioural Research and Therapy. 2001; 39, 1151–1162. 10.1016/s0005-7967(00)00091-7
    1. Magill M, Ray LA. Cognitive-behavioral treatment with adult alcohol and illicit drug users: A meta-analysis of randomized controlled trials. Journal on Studies of Alcohol and Drugs. 2009; 70(4), 516–527. 10.15288/jsad.2009.70.516
    1. Kay‐Lambkin FJ, Baker AL, Lewin TJ, Carr VJ. Computer‐based psychological treatment for comorbid depression and problematic alcohol and/or cannabis use: a randomized controlled trial of clinical efficacy. Addiction. 2009. March;104(3):378–88. 10.1111/j.1360-0443.2008.02444.x
    1. Glasner-Edwards S., Patrick K., Ybarra M. L., Reback C. J., Rawson R. A., Chokron Garneau H., et al. A Cognitive Behavioral Therapy-Based Text Messaging Intervention Versus Medical Management for HIV-Infected Substance Users: Study Protocol for a Pilot Randomized Trial. JMIR research protocols. 2016; 5(2), e131 10.2196/resprot.5407
    1. Glasner SG, Patrick K, Ybarra M, Reback CJ, Ang A, Kalichman S, et al. Promising Outcomes from a Cognitive Behavioral Therapy Text-Messaging Intervention Targeting Drug Use, HIV Risk Behaviors, and Antiretroviral Therapy Adherence among Drug Users Living with HIV. Annals of Behavioral Medicine. 2019. Under review.
    1. Glasner, S., Venegas, A., Garneau, H.C., Ray, L., & Rawson, R.A. (2017, June). Development of a Cognitive Behavioral Therapy-based text messaging intervention for HIV+ alcohol users. Paper presented at the 40th annual meeting of the Research Society on Alcoholism (Denver, Colorado).
    1. Jairath N, Horgerney M, Parsons C. The role of the pilot study: A case illustration from cardiac nursing research. 2000. Applied Nursing Research, 13, 92–96. 10.1016/s0897-1897(00)80006-3
    1. Lancaster S, Dodd P.R., Williamson G.A. Design and analysis of pilot studies: recommendations for good practice. 2004. Journal of Evaluation in Clinical Practice, 10(2), 307–12. 10.1111/j..2002.384.doc.x
    1. Hedeker D, Gibbons R. Longitudinal Data Analysis. 2006. Hoboken, NJ: John Wiley.
    1. Schulz KF, Altman DG, Moher D. CONSORT 2010. statement: Updated guidelines for reporting parallel group randomized trials. J Pharmacol Pharmacother. 2010; 1(2), 100–7. 10.4103/0976-500X.72352
    1. Miller S. M., & Diefenbach M. A. The Cognitive-Social Health Information-Processing (C-SHIP) model: A theoretical framework for research in behavioral oncology In Krantz D. S. & Baum A. (Eds.), Technology and methods in behavioral medicine (pp. 219–244). 1998. Mahwah, NJ, US: Lawrence Erlbaum Associates Publishers.
    1. Rodgers A, Corbett T, Bramley D, Riddell T, Wills M, Lin R-B, et al. Do u smoke after txt? Results of a randomized trial of smoking cessation using mobile phone text messaging. Tobacco Control. 2005; 14(4), 255–261. 10.1136/tc.2005.011577
    1. McLellan AT, Kushner H, Metzger D, Peters R, Smith I, Grissom G, et al. The Fifth Edition of the Addiction Severity Index. J Subst Abuse Treat. 1992;9(3):199–213. 10.1016/0740-5472(92)90062-s
    1. Kalichman SC, Amaral C, Cherry C, Flanagan J, Pope H, Eaton L, et al. Monitoring antiretroviral adherence by unannounced pill counts conducted by telephone: Reliability and criterion-related validity. HIV Clinical Trials. 2008; 9, 298–308. 10.1310/hct0905-298
    1. Kalichman SC, Amaral C, Swetsze C, Eaton L, Kalichman MO, Cherry C, et al. Monthly unannounced pill counts for monitoring HIV treatment adherence: tests for self-monitoring and reactivity effects. HIV Clinical Trials. 2010; 11(6), 325–331. 10.1310/hct1106-325
    1. Giordano TP, Guzman D, Clark R, Charlebois ED, Bangsberg DR. Measuring adherence to antiretroviral therapy in a diverse population using a visual analogue scale. HIV Clinical Trials. 2004; 5(2), 74–9. 10.1310/JFXH-G3X2-EYM6-D6UG
    1. Kalichman SC, Kalichman MO, Cherry C, Swetsze C, Amaral C, White D, et al. Brief behavioral self-regulation counseling for HIV treatment adherence delivered by cell phone: An initial test of concept trial. AIDS Patient Care and STDs. 2011; 25(5).
    1. Laird NM, Ware JH. Random-effects models for longitudinal data. Biometrics. 1982. December 1;38(4):963–74.
    1. Fitzmaurice GM, Laird NM, Ware JH. Applied longitudinal analysis. John Wiley & Sons; 2012. October 23.
    1. Shoptaw S, Reback CJ, Peck JA, Yang X, Rotheram-Fuller E, Larkins S, et al. Behavioral treatment approaches for methamphetamine dependence and HIV-related sexual risk behaviors among urban gay and bisexual men. Drug and Alcohol Dependence. 2015; 78,125–134. 10.1016/j.drugalcdep.2004.10.004
    1. Finitsis D. J., Pellowski J. A., & Johnson B. T. Text message intervention designs to promote adherence to antiretroviral therapy (ART): a meta-analysis of randomized controlled trials. PloS one. 2014; 9(2), e88166 10.1371/journal.pone.0088166
    1. McKay J. R. The use of new communications technologies to evaluate and intervene in substance use disorders. Current behavioral neuroscience reports. 2015; 2(1), 23–29. 10.1007/s40473-014-0017-y
    1. Muench F., van Stolk-Cooke K., Kuerbis A., Stadler G., Baumel A., Shao S., et al. A randomized controlled pilot trial of different mobile messaging interventions for problem drinking compared to weekly drink tracking. PloS one. 2017; 12(2), e0167900 10.1371/journal.pone.0167900
    1. Reback C. J., Fletcher J. B., Swendeman D. A., & Metzner M. Theory-Based Text-Messaging to Reduce Methamphetamine Use and HIV Sexual Risk Behaviors Among Men Who Have Sex with Men: Automated Unidirectional Delivery Outperforms Bidirectional Peer Interactive Delivery. AIDS and behavior. 2019; 23(1), 37–47. 10.1007/s10461-018-2225-z
    1. King E, Kinvig K, Steif J, Qiu AQ, Maan EJ, Albert AY, et al. Mobile text messaging to improve medication adherence and viral load in a vulnerable Canadian population living with human immunodeficiency virus: a repeated measures study. Journal of medical Internet research. 2017;19(6):e190 10.2196/jmir.6631
    1. Sharpe JD, Zhou Z, Escobar-Viera CG, Morano JP, Lucero RJ, Ibañez GE, et al. Interest in using mobile technology to help self-manage alcohol use among persons living with the human immunodeficiency virus: A Florida Cohort cross-sectional study. Subst Abus. 2018. January 2;39(1):77–82. 10.1080/08897077.2017.1356793
    1. Tofighi B, Nicholson JM, McNeely J, Muench F, Lee JD. Mobile phone messaging for illicit drug and alcohol dependence: A systematic review of the literature. Drug Alcohol Rev. 2017. July;36(4):477–491. 10.1111/dar.12535
    1. Bonar EE, Cunningham RM, Collins RL, Cranford JA, Chermack ST, Zimmerman MA, 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. 10.1080/16066359.2017.1310205
    1. Pellowski JA, Kalichman SC, Cherry S, Conway-Washington C, Cherry C, Grebler T, et al. The Daily Relationship Between Aspects of Food Insecurity and Medication Adherence Among People Living with HIV with Recent Experiences of Hunger. Ann Behav Med. 2016. December;50(6):844–853. 10.1007/s12160-016-9812-x
    1. Des Jarlais D. C., Kerr T., Carrieri P., Feelemyer J., & Arasteh K. HIV infection among persons who inject drugs: ending old epidemics and addressing new outbreaks. AIDS. 2016; 30(6), 815–26. 10.1097/QAD.0000000000001039
    1. Lucas GM. Substance abuse, adherence with antiretroviral therapy, and clinical outcomes among HIV-infected individuals. Life sciences. 2011; 88(21–22):948–952. 10.1016/j.lfs.2010.09.025
    1. Rawson RA, Shoptaw SJ, Obert JL, McCann MJ, Hasson AL, Marinelli-Casey PJ, et al. An intensive outpatient approach for cocaine abuse treatment. The Matrix model. J Subst Abuse Treat. 1995;12(2):117–127. 10.1016/0740-5472(94)00080-b
    1. Ling W., Hillhouse M., Ang A., Jenkins J., & Fahey J. (2013). Comparison of behavioral treatment conditions in buprenorphine maintenance. Addiction (Abingdon, England). 2013; 108(10), 1788–1798.

Source: PubMed

3
Předplatit