Results of a Pilot Test of a Self-administered Smartphone-based Treatment System for Alcohol Use Disorders: Usability and Early Outcomes

Overview

Journal Subst Abus

Publisher Sage Publications

Specialties Medical Education
Psychiatry

Date 2014 May 14

PMID 24821354

Citations 64

Authors

Patrick L Dulin

Vivian M Gonzalez

Kendra Campbell

Affiliations

Soon will be listed here.

Abstract

Background: This paper provides results from a pilot study focused on assessing early-stage effectiveness and usability of a smartphone-based intervention system that provides a stand-alone, self-administered intervention option, the Location-Based Monitoring and Intervention for Alcohol Use Disorders (LBMI-A). The LBMI-A provided numerous features for intervening with ongoing drinking, craving, connection with supportive others, managing life problems, high-risk location alerting, and activity scheduling.

Methods: Twenty-eight participants, ranging in age from 22 to 45, who met criteria for an alcohol use disorder used an LBMI-A-enabled smartphone for 6 weeks.

Results: Participants indicated the LBMI-A intervention modules were helpful in highlighting alcohol use patterns. Tools related to managing alcohol craving, monitoring consumption, and identifying triggers to drink were rated by participants as particularly helpful. Participants also demonstrated significant reductions in hazardous alcohol use while using the system (56% of days spent hazardously drinking at baseline vs. 25% while using the LBMI-A) and drinks per day diminished by 52%.

Conclusions: Implications for system improvement as well as suggestions for designing ecological momentary assessment and intervention systems for substance use disorders are discussed.

Citing Articles

Critical design decisions and user demographics in enhancing real-time digital mental health interventions: A systematic review.

Fouyaxis J, Bidargaddi N, Du W, Looi J, Lipschitz J Digit Health. 2024; 10:20552076241306782.

PMID: 39687526 PMC: 11648022. DOI: 10.1177/20552076241306782.

An Ecological Momentary Assessment Approach of Environmental Triggers in the Role of Daily Affect, Rumination, and Movement Patterns in Early Alcohol Use Among Healthy Adolescents: Exploratory Study.

Prignitz M, Guldner S, Lehmler S, Aggensteiner P, Nees F JMIR Mhealth Uhealth. 2024; 12:e53401.

PMID: 39657181 PMC: 11668999. DOI: 10.2196/53401.

Personalized interventions for behaviour change: A scoping review of just-in-time adaptive interventions.

Hsu T, Whelan P, Gandrup J, Armitage C, Cordingley L, McBeth J Br J Health Psychol. 2024; 30(1):e12766.

PMID: 39542743 PMC: 11583291. DOI: 10.1111/bjhp.12766.

Brief report: Aging adult utilization of an mHealth intervention for problem drinking.

Sedotto R, Edwards A, Dulin P, King D Front Public Health. 2024; 12:1462737.

PMID: 39529711 PMC: 11551015. DOI: 10.3389/fpubh.2024.1462737.

Combined Motivational Interviewing and Ecological Momentary Intervention to Reduce Hazardous Alcohol Use Among Sexual Minority Cisgender Men and Transgender Individuals: Protocol for a Randomized Controlled Trial.

Lauckner C, Takenaka B, Sesenu F, Brown J, Kirklewski S, Nicholson E JMIR Res Protoc. 2024; 13:e55166.

PMID: 38578673 PMC: 11031694. DOI: 10.2196/55166.

References

Tucker J . Predictors of help-seeking and the temporal relationship of help to recovery among treated and untreated recovered problem drinkers. Addiction. 1995; 90(6):805-9. DOI: 10.1046/j.1360-0443.1995.9068057.x. View

Kamel Boulos M, Wheeler S, Tavares C, Jones R . How smartphones are changing the face of mobile and participatory healthcare: an overview, with example from eCAALYX. Biomed Eng Online. 2011; 10:24. PMC: 3080339. DOI: 10.1186/1475-925X-10-24. View

Fortney J, Mukherjee S, Curran G, Fortney S, Han X, Booth B . Factors associated with perceived stigma for alcohol use and treatment among at-risk drinkers. J Behav Health Serv Res. 2004; 31(4):418-29. DOI: 10.1007/BF02287693. View

Kaufman D, Starren J . A methodological framework for evaluating mobile health devices. AMIA Annu Symp Proc. 2007; :978. PMC: 1839343. View

Monti P, Abrams D, Binkoff J, Zwick W, Liepman M, Nirenberg T . Communication skills training, communication skills training with family and cognitive behavioral mood management training for alcoholics. J Stud Alcohol. 1990; 51(3):263-70. DOI: 10.15288/jsa.1990.51.263. View

Meglic M, Furlan M, Kuzmanic M, Kozel D, Baraga D, Kuhar I . Feasibility of an eHealth service to support collaborative depression care: results of a pilot study. J Med Internet Res. 2010; 12(5):e63. PMC: 3057312. DOI: 10.2196/jmir.1510. View

Hester R, Squires D, Delaney H . The Drinker's Check-up: 12-month outcomes of a controlled clinical trial of a stand-alone software program for problem drinkers. J Subst Abuse Treat. 2005; 28(2):159-69. DOI: 10.1016/j.jsat.2004.12.002. View

Stockwell T, Sitharthan T, McGrath D, Lang E . The measurement of alcohol dependence and impaired control in community samples. Addiction. 1994; 89(2):167-74. DOI: 10.1111/j.1360-0443.1994.tb00875.x. View

Riper H, van Straten A, Keuken M, Smit F, Schippers G, Cuijpers P . Curbing problem drinking with personalized-feedback interventions: a meta-analysis. Am J Prev Med. 2009; 36(3):247-55. DOI: 10.1016/j.amepre.2008.10.016. View

10.

Dulin P, Gonzalez V, King D, Giroux D, Bacon S . Smartphone-Based, Self-Administered Intervention System for Alcohol Use Disorders: Theory and Empirical Evidence Basis. Alcohol Treat Q. 2013; 31(3). PMC: 3857707. DOI: 10.1080/07347324.2013.800425. View

11.

Suffoletto B, Callaway C, Kristan J, Kraemer K, Clark D . Text-message-based drinking assessments and brief interventions for young adults discharged from the emergency department. Alcohol Clin Exp Res. 2011; 36(3):552-60. DOI: 10.1111/j.1530-0277.2011.01646.x. View

12.

Hasin D, Stinson F, Ogburn E, Grant B . Prevalence, correlates, disability, and comorbidity of DSM-IV alcohol abuse and dependence in the United States: results from the National Epidemiologic Survey on Alcohol and Related Conditions. Arch Gen Psychiatry. 2007; 64(7):830-42. DOI: 10.1001/archpsyc.64.7.830. View

13.

Hester R, Miller J . Computer-based tools for diagnosis and treatment of alcohol problems. Alcohol Res Health. 2006; 29(1):36-40. PMC: 6470901. View

14.

Neighbors C, Lee C, Lewis M, Fossos N, Walter T . Internet-based personalized feedback to reduce 21st-birthday drinking: a randomized controlled trial of an event-specific prevention intervention. J Consult Clin Psychol. 2009; 77(1):51-63. PMC: 2682322. DOI: 10.1037/a0014386. View

15.

Bates M, Bowden S, Barry D . Neurocognitive impairment associated with alcohol use disorders: implications for treatment. Exp Clin Psychopharmacol. 2002; 10(3):193-212. DOI: 10.1037//1064-1297.10.3.193. View

16.

Arsand E, Tatara N, Ostengen G, Hartvigsen G . Mobile phone-based self-management tools for type 2 diabetes: the few touch application. J Diabetes Sci Technol. 2010; 4(2):328-36. PMC: 2864168. DOI: 10.1177/193229681000400213. View

17.

Cunningham J, Sobell L, Sobell M, Agrawal S, Toneatto T . Barriers to treatment: why alcohol and drug abusers delay or never seek treatment. Addict Behav. 1993; 18(3):347-53. DOI: 10.1016/0306-4603(93)90036-9. View

18.

Agrawal A, Heath A, Lynskey M . DSM-IV to DSM-5: the impact of proposed revisions on diagnosis of alcohol use disorders. Addiction. 2011; 106(11):1935-43. PMC: 3480662. DOI: 10.1111/j.1360-0443.2011.03517.x. View

19.

Wagener T, Leffingwell T, Mignogna J, Mignogna M, Weaver C, Cooney N . Randomized trial comparing computer-delivered and face-to-face personalized feedback interventions for high-risk drinking among college students. J Subst Abuse Treat. 2011; 43(2):260-7. DOI: 10.1016/j.jsat.2011.11.001. View

20.

Bewick B, Trusler K, Mulhern B, Barkham M, Hill A . The feasibility and effectiveness of a web-based personalised feedback and social norms alcohol intervention in UK university students: a randomised control trial. Addict Behav. 2008; 33(9):1192-8. DOI: 10.1016/j.addbeh.2008.05.002. View