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Ann Behav Med. 2018 Aug 16;52(9):787-797. doi: 10.1093/abm/kax053.

Predictors of Daily Adherence to Naltrexone for Alcohol Use Disorder Treatment During a Mobile Health Intervention.

Author information

1
School of Psychological Science, Oregon State University, Corvallis, USA.
2
Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, Toronto, Ontario, Canada.
3
Alcohol and Drug Abuse Institute, University of Washington, Seattle, WA, USA.
4
Department of Psychiatry, University of Toronto, Toronto, Ontario, Canada.
5
Department of Psychology, University of Toronto, Toronto, Ontario, Canada.
6
Institute for Mental Health Policy Research, Centre for Addiction and Mental Health, Toronto, Ontario, Canada.

Abstract

Background:

Adherence to medications for treating alcohol use disorder (AUD) is poor. To identify predictors of daily naltrexone adherence over time, a secondary data analysis was conducted of a trial evaluating a mobile health intervention to improve adherence.

Methods:

Participants seeking treatment for AUD (n = 58; Mage = 38 years; 71% male) were prescribed naltrexone for 8 weeks. Adherence was tracked using the Medication Event Monitoring System (MEMS). In response to daily text messages, participants reported the previous day's alcohol use, craving, and naltrexone side effects. Using multilevel structural equation modeling (MSEM), we examined baseline dispositional factors and within-person, time-varying factors as predictors of daily adherence.

Results:

Naltrexone adherence decreased over time. Adherence was higher on days when individuals completed daily mobile assessments relative to days when they did not (odds ratio [OR] = 2.53, 95% confidence interval [CI] 1.61 to 3.98), irrespective of intervention condition. Days when individuals drank more than their typical amount were related to lower next-day adherence (OR = 0.93, 95% CI 0.88 to 0.99). A similar pattern was supported for craving (OR = 0.88, 95% CI 0.79 to 0.98). Weekend days were associated with lower adherence than weekdays (OR = 0.71, 95% CI 0.58 to 0.86); this effect was partly mediated by heavier daily drinking (indirect effect = -0.02, 95% CI -0.04 to -0.003) and stronger-than-usual craving (indirect effect = -0.01, 95% CI -0.02 to 0.00) on weekend days.

Conclusions:

The results further demonstrate the need to improve adherence to AUD pharmacotherapy. The present findings also support developing interventions that target daily-level risk factors for nonadherence. Mobile health interventions may be one means of developing tailored and adaptive adherence interventions.

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