1
|
Manning V, Garfield JBB, Reynolds J, Staiger PK, Piercy H, Bonomo Y, Lloyd‐Jones M, Jacka D, Wiers RW, Verdejo‐Garcia A, Lubman DI. Alcohol use in the year following approach bias modification during inpatient withdrawal: secondary outcomes from a double-blind, multi-site randomized controlled trial. Addiction 2022; 117:2837-2846. [PMID: 35792053 PMCID: PMC9796776 DOI: 10.1111/add.15989] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/27/2022] [Accepted: 06/15/2022] [Indexed: 01/07/2023]
Abstract
BACKGROUND AND AIMS Approach bias modification (ApBM) targeting alcohol approach bias has been previously shown to reduce likelihood of relapse during the first 2 weeks following inpatient withdrawal treatment (IWT). We tested whether ApBM's effects endure for a longer period by analysing alcohol use outcomes 3, 6 and 12 months post-discharge. DESIGN A double-blind, sham-controlled randomized controlled trial. SETTING Four IWT units in Melbourne, Australia. PARTICIPANTS Three hundred alcohol IWT patients (173 men, 126 women, 1 non-binary; mean age 43.5 years) were recruited between 4 June 2017 and 14 July 2019. Follow-up data collection was completed on 22 September 2020. INTERVENTION AND CONTROL TRAINING Four ApBM sessions were delivered during IWT. ApBM trained participants (n = 147) to avoid alcohol and approach non-alcohol beverage cues. Controls (n = 153) responded to the same stimuli, but without approach/avoidance training. MEASUREMENTS Date of first lapse was recorded for non-abstinent participants to determine time to first lapse. Time-line follow-back interviews assessed past-month alcohol consumption at each follow-up, with participants reporting no alcohol consumption classified as abstinent. In analyses of past-month abstinence, non-abstinence was assumed in participants lost to follow-up. Number of past-month drinking days, standard drinks and heavy drinking days (five or more standard drinks for women or non-binary; six or more standard drinks for men) were calculated for non-abstinent participants at each follow-up. FINDINGS ApBM significantly delayed time to first lapse [ApBM median: 53 days, 95% confidence interval (CI) = 21-61; controls = 12 days, 95% CI = 9-21, P = 0.045]. Past-month abstinence rates at 3-, 6- and 12-month follow-ups were 33/153 (21.6%), 30/153 (19.6%), and 24/153 (15.7%) in controls; and 51/147 (34.7%), 30/147 (20.4%) and 29/147 (19.7%) in the ApBM group, respectively. Past-month abstinence was significantly more likely in ApBM participants than controls at the 3-month follow-up [odds ratio (OR) = 1.93, 95% CI = 1.16-3.23, P = 0.012], but not at 6- or 12-month follow-ups (6-month OR = 1.05, 95% CI = 0.60-1.95, P = 0.862; 12-month OR = 1.32, 95% CI = 0.73-2.40, P = 0.360). No significant group differences were found for indices of alcohol consumption in non-abstinent participants. CONCLUSIONS Approach bias modification for alcohol delivered during inpatient withdrawal treatment helps to prevent relapse, increasing rates of abstinence from alcohol for at least 3 months post-discharge.
Collapse
Affiliation(s)
- Victoria Manning
- Monash Addiction Research Centre, Eastern Health Clinical SchoolMonash UniversityMelbourneAustralia,Turning PointEastern HealthMelbourneAustralia
| | - Joshua B. B. Garfield
- Monash Addiction Research Centre, Eastern Health Clinical SchoolMonash UniversityMelbourneAustralia,Turning PointEastern HealthMelbourneAustralia
| | - John Reynolds
- Alfred Health and Faculty of Medicine, Nursing and Health SciencesMonash UniversityMelbourneAustralia
| | - Petra K. Staiger
- School of PsychologyDeakin UniversityGeelongAustralia,Centre for Drug use, Addictive and Antisocial behaviour Research (CEDAAR)Deakin UniversityGeelongAustralia
| | - Hugh Piercy
- Monash Addiction Research Centre, Eastern Health Clinical SchoolMonash UniversityMelbourneAustralia,Turning PointEastern HealthMelbourneAustralia
| | - Yvonne Bonomo
- Department of Addiction MedicineSt Vincent's Hospital MelbourneMelbourneAustralia,Division of Medicine, Dentistry, and Health SciencesUniversity of MelbourneMelbourneAustralia
| | - Martyn Lloyd‐Jones
- Department of Addiction MedicineSt Vincent's Hospital MelbourneMelbourneAustralia
| | - David Jacka
- Monash Health Drug and Alcohol Service, Monash HealthMelbourneAustralia
| | - Reinout W. Wiers
- Addiction Development and Psychopathology (ADAPT) Laboratory, Department of Psychology and Center for Urban Mental HealthUniversity of AmsterdamAmsterdamthe Netherlands
| | - Antonio Verdejo‐Garcia
- Turning PointEastern HealthMelbourneAustralia,School of Psychological Sciences and Turner Institute for Brain and Mental HealthMonash UniversityMelbourneAustralia
| | - Dan I. Lubman
- Monash Addiction Research Centre, Eastern Health Clinical SchoolMonash UniversityMelbourneAustralia,Turning PointEastern HealthMelbourneAustralia
| |
Collapse
|
2
|
Garfield JBB, Piccoli LR, Whelan D, Staiger PK, Reynolds J, Piercy H, Lubman DI, Verdejo-Garcia A, Manning V. The effect of approach bias modification during alcohol withdrawal treatment on craving, and its relationship to post-treatment alcohol use in a randomised controlled trial. Drug Alcohol Depend 2022; 239:109621. [PMID: 36087564 DOI: 10.1016/j.drugalcdep.2022.109621] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/24/2022] [Revised: 08/25/2022] [Accepted: 08/31/2022] [Indexed: 12/15/2022]
Abstract
BACKGROUND Approach bias modification (ApBM) for alcohol use disorder helps prevent relapse, yet the psychological mechanisms underlying its efficacy remain unclear. Alcohol craving predicts relapse and appears to be related to the biased processing of alcohol stimuli which is reduced by ApBM. However, there is little research examining whether ApBM reduces alcohol craving. METHODS In a randomised controlled trial testing the effect of 4 ApBM sessions (vs. sham training) on post-treatment alcohol use in 300 alcohol withdrawal inpatients, we administered the Alcohol Craving Questionnaire - Short Form - Revised (ACQ-SF-R) pre and post-training and at 2-week, 3, 6 and 12-month follow ups; and a cue-induced craving measure pre and post training. RESULTS Groups did not significantly differ in terms of declines in ACQ-SF-R total scores (p = .712) or cue-induced craving (p = .841) between the first and last training session, nor in terms of ACQ-SF-R scores at follow-ups (p = .509). However, the ACQ-SF-R Expectancy subscale, which assesses craving based on anticipated positive reinforcement from alcohol, was significantly lower in the ApBM group than in controls following training (p = .030), although the group x time interaction for this subscale was non-significant (p = .062). Post-intervention Expectancy scores mediated only a small portion of ApBM's effect on post-discharge alcohol use (14% in intention-to-treat analysis, p = .046; 15% in per-protocol analysis, p = .020). CONCLUSIONS ApBM does not appear to have robust, sustained effects on alcohol craving. Reduced craving is unlikely to account for ApBM's relapse prevention effects. However, further research on whether ApBM's effects are related to devaluation of alcohol reward expectancy is warranted. TRIAL REGISTRATION Australian New Zealand Clinical Trials Registry Identifier: ACTRN12617001241325.
Collapse
Affiliation(s)
- Joshua B B Garfield
- Monash Addiction Research Centre, Eastern Health Clinical School, Monash University, Melbourne, Australia; Turning Point, Eastern Health, Melbourne, Australia.
| | - Lara R Piccoli
- Turner Institute for Brain and Mental Health and School of Psychological Sciences, Monash University, Melbourne, Australia.
| | - Danielle Whelan
- Monash Addiction Research Centre, Eastern Health Clinical School, Monash University, Melbourne, Australia; Turning Point, Eastern Health, Melbourne, Australia.
| | - Petra K Staiger
- School of Psychology, Deakin University, Geelong, Australia; Centre for Drug Use, Addictive and Antisocial Behaviour Research, Deakin University, Geelong, Australia.
| | - John Reynolds
- Alfred Health and Faculty of Medicine, Nursing and Health Sciences, Monash University, Melbourne, Australia.
| | - Hugh Piercy
- Monash Addiction Research Centre, Eastern Health Clinical School, Monash University, Melbourne, Australia; Turning Point, Eastern Health, Melbourne, Australia.
| | - Dan I Lubman
- Monash Addiction Research Centre, Eastern Health Clinical School, Monash University, Melbourne, Australia; Turning Point, Eastern Health, Melbourne, Australia.
| | - Antonio Verdejo-Garcia
- Monash Addiction Research Centre, Eastern Health Clinical School, Monash University, Melbourne, Australia; Turner Institute for Brain and Mental Health and School of Psychological Sciences, Monash University, Melbourne, Australia.
| | - Victoria Manning
- Monash Addiction Research Centre, Eastern Health Clinical School, Monash University, Melbourne, Australia; Turning Point, Eastern Health, Melbourne, Australia.
| |
Collapse
|
3
|
Canning JR, Schallert MR, Larimer ME. A Systematic Review of the Balloon Analogue Risk Task (BART) in Alcohol Research. Alcohol Alcohol 2021; 57:85-103. [PMID: 33592622 DOI: 10.1093/alcalc/agab004] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/31/2020] [Revised: 12/07/2020] [Accepted: 01/08/2021] [Indexed: 11/15/2022] Open
Abstract
Risk-taking propensity has been crucial to the investigation of alcohol use and consequences. One measure, the balloon analogue risk task (BART), has been used consistently over the past two decades. However, it is unclear how this measure is related to alcohol outcomes. This paper systematically reviews the literature on the BART and alcohol outcomes. First, direct associations between the BART and alcohol use are reviewed including correlations, group comparisons, the BART's prediction of alcohol outcomes and BART performance after consuming alcohol. Then, potential moderators that explain when and for whom the BART is related to alcohol outcomes are reviewed. Finally, potential mechanisms that explain how the BART and alcohol outcomes are related are reviewed. This review reveals patterns in the BART suggesting risk-taking propensity may be related to changes in alcohol use over time; however, there is little evidence to suggest BART scores increase after consuming alcohol. Yet, additional research suggests adjusted average pump scores may be too simplistic for the amount of information the BART captures and understanding individual's patterns of responses on the BART is important for investigating its relation to alcohol outcomes. Finally, this review opens up several future directions for research to understand how risk-taking propensity is related to alcohol outcomes.
Collapse
Affiliation(s)
- Jessica R Canning
- Department of Psychology, University of Washington, Seattle, WA, USA
| | - Macey R Schallert
- Department of Psychiatry and Behavioral Sciences, University of Washington, Seattle, WA, USA
| | - Mary E Larimer
- Department of Psychology, University of Washington, Seattle, WA, USA.,Department of Psychiatry and Behavioral Sciences, University of Washington, Seattle, WA, USA
| |
Collapse
|
4
|
Manning V, Garfield JBB, Staiger PK, Lubman DI, Lum JAG, Reynolds J, Hall K, Bonomo Y, Lloyd-Jones M, Wiers RW, Piercy H, Jacka D, Verdejo-Garcia A. Effect of Cognitive Bias Modification on Early Relapse Among Adults Undergoing Inpatient Alcohol Withdrawal Treatment: A Randomized Clinical Trial. JAMA Psychiatry 2021; 78:133-140. [PMID: 33146693 PMCID: PMC7643044 DOI: 10.1001/jamapsychiatry.2020.3446] [Citation(s) in RCA: 52] [Impact Index Per Article: 13.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/11/2022]
Abstract
IMPORTANCE More than half of patients with alcohol use disorder who receive inpatient withdrawal treatment relapse within weeks of discharge, hampering subsequent uptake and effectiveness of psychological and pharmacologic interventions. Cognitive bias modification (CBM) improves outcomes after alcohol rehabilitation, but the efficacy of delivering CBM during withdrawal treatment has not yet been established. OBJECTIVE To test the hypothesis that CBM would increase the likelihood of abstaining from alcohol during the 2 weeks following discharge from inpatient withdrawal treatment. DESIGN, SETTING, AND PARTICIPANTS In a randomized clinical trial, 950 patients in 4 inpatient withdrawal units in Melbourne, Australia, were screened for eligibility between June 4, 2017, and July 14, 2019, to receive CBM or sham treatment. Patients with moderate or severe alcohol use disorder aged 18 to 65 years who had no neurologic illness or traumatic brain injury were eligible. Two-week follow-up, conducted by researchers blinded to the participant's condition, was the primary end point. Both per-protocol and intention-to-treat analysis were conducted. INTERVENTIONS Randomized to 4 consecutive daily sessions of CBM designed to reduce alcohol approach bias or sham training not designed to modify approach bias. MAIN OUTCOMES AND MEASURES Primary outcome was abstinence assessed using a timeline followback interview. Participants were classified as abstinent (no alcohol use in the first 14 days following discharge) or relapsed (any alcohol use during the first 14 days following discharge or lost to follow-up). RESULTS Of the 950 patients screened for eligibility, 338 did not meet inclusion criteria, 108 were discharged before being approached, and 192 refused. Of the 312 patients who consented (referred sample), 12 withdrew before being randomized. In the final population of 300 randomized patients (CBM, n = 147; sham, n = 153), 248 completed the intervention and 272 completed the follow-up. Of the 300 participants (173 [57.7%] men; mean [SD] age, 43.47 [10.43] years), 7 patients (3 controls, 4 CBM) withdrew after finding the training uncomfortable. Abstinence rates were 42.5% (95% CI, 34.3%-50.6%) in controls and 54.4% (95% CI, 46.0%-62.8%) in CBM participants, yielding an 11.9% (95% CI, 0.04%-23.8%; P = .04) difference in abstinence rates. In a per-protocol analysis including only those who completed 4 sessions of training and the follow-up, the difference in abstinence rate between groups was 17.0% (95% CI, 3.8%-30.2%; P = .008). CONCLUSIONS AND RELEVANCE The findings of this clinical trial support the efficacy of CBM for treatment of alcohol use disorder. Being safe and easy to implement, requiring only a computer and joystick, and needing no specialist staff/training, CBM could be routinely offered as an adjunctive intervention during withdrawal treatment to optimize outcomes. TRIAL REGISTRATION Australian New Zealand Clinical Trials Registry Identifier: ACTRN12617001241325.
Collapse
Affiliation(s)
- Victoria Manning
- Monash Addiction Research Centre, Eastern Health Clinical School, Monash University, Melbourne, Victoria, Australia,Turning Point, Eastern Health, Melbourne, Victoria, Australia
| | - Joshua B. B. Garfield
- Monash Addiction Research Centre, Eastern Health Clinical School, Monash University, Melbourne, Victoria, Australia,Turning Point, Eastern Health, Melbourne, Victoria, Australia
| | - Petra K. Staiger
- Deakin University School of Psychology, Geelong, Victoria, Australia,Centre for Drug Use, Addictive and Antisocial Behaviour Research, Deakin University, Geelong, Victoria, Australia
| | - Dan I. Lubman
- Monash Addiction Research Centre, Eastern Health Clinical School, Monash University, Melbourne, Victoria, Australia,Turning Point, Eastern Health, Melbourne, Victoria, Australia
| | - Jarrad A. G. Lum
- Deakin University School of Psychology, Geelong, Victoria, Australia
| | - John Reynolds
- Alfred Health and Faculty of Medicine, Nursing and Health Sciences, Monash University, Melbourne, Victoria, Australia
| | - Kate Hall
- Deakin University School of Psychology, Geelong, Victoria, Australia,Centre for Drug Use, Addictive and Antisocial Behaviour Research, Deakin University, Geelong, Victoria, Australia
| | - Yvonne Bonomo
- Department of Addiction Medicine, St Vincent's Hospital Melbourne, Melbourne, Victoria, Australia,Division of Medicine, Dentistry, and Health Sciences, University of Melbourne, Melbourne, Victoria, Australia
| | - Martyn Lloyd-Jones
- Department of Addiction Medicine, St Vincent's Hospital Melbourne, Melbourne, Victoria, Australia
| | - Reinout W. Wiers
- Addiction Development and Psychopathology Lab, Center for Urban Mental Health, Department of Psychology, University of Amsterdam, Amsterdam, the Netherlands
| | - Hugh Piercy
- Monash Addiction Research Centre, Eastern Health Clinical School, Monash University, Melbourne, Victoria, Australia,Turning Point, Eastern Health, Melbourne, Victoria, Australia
| | - David Jacka
- Monash Health Drug and Alcohol Service, Monash Health, Melbourne, Victoria, Australia
| | - Antonio Verdejo-Garcia
- Turning Point, Eastern Health, Melbourne, Victoria, Australia,Turner Institute for Brain and Mental Health, Monash University School of Psychological Sciences, Melbourne, Victoria, Australia
| |
Collapse
|
5
|
Manning V, Piercy H, Garfield JBB, Lubman DI. Personalized Approach Bias Modification Smartphone App ("SWIPE") to Reduce Alcohol Use Among People Drinking at Hazardous or Harmful Levels: Protocol for an Open-Label Feasibility Study. JMIR Res Protoc 2020; 9:e21278. [PMID: 32795989 PMCID: PMC7455870 DOI: 10.2196/21278] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/09/2020] [Revised: 07/13/2020] [Accepted: 07/14/2020] [Indexed: 01/15/2023] Open
Abstract
Background Alcohol accounts for 5.1% of the global burden of disease and injury, and approximately 1 in 10 people worldwide develop an alcohol use disorder. Approach bias modification (ABM) is a computerized cognitive training intervention in which patients are trained to “avoid” alcohol-related images and “approach” neutral or positive images. ABM has been shown to reduce alcohol relapse rates when delivered in residential settings (eg, withdrawal management or rehabilitation). However, many people who drink at hazardous or harmful levels do not require residential treatment or choose not to access it (eg, owing to its cost, duration, inconvenience, or concerns about privacy). Smartphone app–delivered ABM could offer a free, convenient intervention to reduce cravings and consumption that is accessible regardless of time and place, and during periods when support is most needed. Importantly, an ABM app could also easily be personalized (eg, allowing participants to select personally relevant images as training stimuli) and gamified (eg, by rewarding participants for the speed and accuracy of responses) to encourage engagement and training completion. Objective We aim to test the feasibility and acceptability of “SWIPE,” a gamified, personalized alcohol ABM smartphone app, assess its preliminary effectiveness, and explore in which populations the app shows the strongest indicators of effectiveness. Methods We aim to recruit 500 people who drink alcohol at hazardous or harmful levels (Alcohol Use Disorders Identification Test score≥8) and who wish to reduce their drinking. Recruitment will be conducted through social media and websites. The participants’ intended alcohol use goal (reduction or abstinence), motivation to change their consumption, and confidence to change their consumption will be measured prior to training. Participants will be instructed to download the SWIPE app and complete at least 2 ABM sessions per week for 4 weeks. Recruitment and completion rates will be used to assess feasibility. Four weeks after downloading SWIPE, participants will be asked to rate SWIPE’s functionality, esthetics, and quality to assess acceptability. Alcohol consumption, craving, and dependence will be measured prior to commencing the first session of ABM and 4 weeks later to assess whether these variables change significantly over the course of ABM. Results We expect to commence recruitment in August 2020 and complete data collection in March 2021. Conclusions This will be the first study to test the feasibility, acceptability, and preliminary effectiveness of a personalized, gamified ABM intervention smartphone app for hazardous or harmful drinkers. Results will inform further improvements to the app, as well as the design of a statistically powered randomized controlled trial to test its efficacy relative to a control condition. Ultimately, we hope that SWIPE will extend the benefits of ABM to the millions of individuals who consume alcohol at hazardous levels and wish to reduce their use but cannot or choose not to access treatment. Trial Registration Australian New Zealand Clinical Trials Registry (ANZCTR) ACTRN12620000638932p; https://www.anzctr.org.au/Trial/Registration/TrialReview.aspx?ACTRN=12620000638932p International Registered Report Identifier (IRRID) PRR1-10.2196/21278
Collapse
Affiliation(s)
- Victoria Manning
- Monash Addiction Research Centre, Eastern Health Clinical School, Monash University, Richmond, Victoria, Australia.,Turning Point, Eastern Health, Richmond, Victoria, Australia
| | - Hugh Piercy
- Monash Addiction Research Centre, Eastern Health Clinical School, Monash University, Richmond, Victoria, Australia.,Turning Point, Eastern Health, Richmond, Victoria, Australia
| | - Joshua Benjamin Bernard Garfield
- Monash Addiction Research Centre, Eastern Health Clinical School, Monash University, Richmond, Victoria, Australia.,Turning Point, Eastern Health, Richmond, Victoria, Australia
| | - Dan Ian Lubman
- Monash Addiction Research Centre, Eastern Health Clinical School, Monash University, Richmond, Victoria, Australia.,Turning Point, Eastern Health, Richmond, Victoria, Australia
| |
Collapse
|