Online Relapse Prevention Therapy for Patients With Alcohol Use Disorder
NCT ID: NCT05579210
Last Updated: 2025-03-14
Study Results
The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.
Basic Information
Get a concise snapshot of the trial, including recruitment status, study phase, enrollment targets, and key timeline milestones.
COMPLETED
NA
60 participants
INTERVENTIONAL
2022-10-01
2024-04-23
Brief Summary
Review the sponsor-provided synopsis that highlights what the study is about and why it is being conducted.
Related Clinical Trials
Explore similar clinical trials based on study characteristics and research focus.
Web-based Alcohol-specific Inhibition Training in Adolescents and Young Adults With Alcohol Use Disorder
NCT07071779
Enhancing Internet-delivered Cognitive Behaviour Therapy for Alcohol Misuse
NCT05555264
Effectiveness and Costs of Internet-based Treatment for Harmful Alcohol Use and Face-to-face Treatment in Addiction Care
NCT02671019
Self-help Internet-based Relapse Prevention for Problematic Alcohol Use
NCT02283593
Neurocognitive and Neurobehavioral Mechanisms of Change Following Psychological Treatment for Alcohol Use Disorder
NCT03842670
Detailed Description
Dive into the extended narrative that explains the scientific background, objectives, and procedures in greater depth.
Interventions Upon completion of the eligibility assessments, participants will be randomly assigned through a computerized system to one of two groups; e-RPT or face-to-face RPT. Participants will be equally stratified (e-RPT n = 30; face-to-face RPT n = 30). These treatments will be delivered as an augmentation to treatment as usual (TAU) (e.g., medications, regular physician or clinician visits, referrals or consultations that are conducted outside of the current research study). The e-RPT program will be delivered through the Online Psychotherapy Tool (OPTT; OPTT Inc.), a secure and interactive platform developed by the Queen's Online Psychotherapy Lab (QUOPL). The face-to-face RPT program will be delivered through video conference sessions using Microsoft Teams. However, it is important to note that participants in the face-to-face group will also have access to OPTT. Participants in both groups will need access to OPTT to complete module 0 before starting with their respective programs, and to access their drinking diary to report their daily drinking. Module 0 will only serve to quickly introduce participants to OPTT, and the programs and to access their drinking diary.
E-RPT
Participants in the e-RPT group will receive 10 weekly predesigned online modules. The content of this program will involve interactive therapy modules and homework, for which participants will receive asynchronous individualized feedback from a therapist each week. Participants in the e-RPT condition will receive one module per week and have continuous access to them on the OPTT platform. On average each module consists of 30 slides and should take approximately 45 minutes to complete. At the end of each module, participants will be assigned homework to be completed and submitted to their respective therapists up to 48 hours before their next weekly session. The therapists will develop personalized feedback by using session-specific therapy feedback templates. These templates ensure that feedback is also more standardized and structured between different patients and therapists. In previous studies, therapists have been able to effectively use these templates to prepare feedback in approximately 15-20 minutes. Therefore, compared to one-hour-long face-to-face therapy sessions, online sessions require around 15-20 minutes of therapist time, which can enhance the scalability of the online intervention and increase the number of individuals assigned to a therapist. Following the principles of CBT and RPT, this e-RPT program will focus on teaching essential cognitive and behavioural skills such as identifying maladaptive thought processes, increasing engagement in day-to-day activities, and developing strategies to reduce alcohol consumption. The content of the sessions is outlined below:
* Session 1: Understanding Addiction - Introduces relapse prevention and what to expect from the course. The session explains what addiction is, including symptoms, signs, consequences, and the different types of addiction. Participants will create a SMART goal that they will try to achieve throughout the weeks. They will also share their personal experience with addiction
* Session 2: Exploring and Strengthening Your Motivation - Focuses on the five stages of motivation and the role of motivation in relapse prevention. Helpful techniques are discussed to reflect on and boost motivation throughout their recovery journey. Participants will create a pros and cons list about stopping alcohol use and will reflect on different aspects of their ability to stop using alcohol.
* Session 3: Triggers - Describes what triggers are and how to recognize them, including both internal and external triggers. This session also provides strategies for how to handle triggers through avoidance and careful planning. Participants will be asked to identify their triggers and how to prepare for them if encountered.
* Session 4: Handling Cravings and Signs of Relapse - Presents skills to use when confronting cravings, and how to identify and prevent a potential relapse. For instance, by applying distraction methods when they experience stressful situations to decrease their urge to consume alcohol. Also, it asks participants to identify their warning signs by reflecting on previous relapse experiences.
* Session 5: The 5-Part Model - Provides further introduction about CBT and its components. Also, it explains the 5 Part Model, which highlights the importance of differentiating between our thoughts, feelings, physical reactions, and behaviours in stressful situations. Participants are asked to complete the 5 Part Model with an example from their life.
* Session 6: The Thought Record - Part 1 - Introduces the thought record and its relation to CBT to help in the understanding of the connection between feelings, behaviours, and thoughts. This session focuses on the first three columns of the Thought Record (out of 7 columns). The first three columns include the situation, followed by the feelings and automatic thoughts associated with the situation. Participants are asked to complete the first three columns of a thought record for a stressful situation they experienced within the past week.
* Session 7: The Thought Record - Part 2 - This session continues with the remaining 4 columns of the Thought Record including, gathering evidence in support and against the identified automatic thoughts, and finding alternative and balanced thoughts after examining the evidence. Thus, this session highlights how to challenge irrational thoughts by developing more balanced and helpful thoughts. Participants have to complete a full thought record from a stressful situation related to their AUD within the past week.
* Session 8: Thinking Errors and The Activity Record - Explores irrational thinking and common thinking errors. This session also presents and highlights the importance of the Activity Record; a tool designed to record and plan weekly activities. Participants are asked to complete an activity record for an entire week.
* Session 9. Mindfulness and Breathing Techniques - Presents mindfulness, breathing techniques, and other helpful skills to reduce urges and cravings associated with alcohol and to promote increased awareness. Participants are asked to incorporate one or more of these practices into their daily routines for a week and to reflect on how these practices made them feel. Also, to reflect on which practice, if any, they found to be the most effective.
* Session 10. Review - This session is a review of the program. It summarizes all the useful tools and techniques for relapse prevention learned throughout the program. Participants are asked to reflect on the activities that they found to be the most effective throughout the sessions.
Face-to-Face RPT Participants in the face-to-face intervention will meet with their therapist weekly through Microsoft Teams (video conference). During these 1-hour sessions, therapists will follow the same 10-week structure and content as e-RPT. Though compared to e-RPT, in face-to-face sessions, the homework will be reviewed with the participant, during the session, providing the appropriate feedback. Then the therapists will prepare a weekly patient report of each session for the principal investigator. At the end of each session, participants will receive the same homework as the e-RPT condition which they will receive feedback on during the following face-to-face session. Following the 10-week face-to-face intervention, participants will have the opportunity to join the e-RPT program.
Training Therapists for both e-RPT and face-to-face RPT will consist of research assistants who are trained in RPT and writing feedback. All therapists are trained by the principal investigator, who is an expert in the electronic delivery of psychotherapy (Alavi and Hirji 2020, Alavi et.al. 2016, Alavi and Omrani 2018). During training, the principal investigator will closely guide the therapists through their first patient (assigning modules, reviewing homework, writing feedback, and conducting face-to-face sessions). Then through the study, the therapists will be supervised by the principal investigator to ensure the quality and reliability of the treatment programs. To ensure the quality of the feedback, therapists will practice by writing feedback on practice homework templates. All feedback will be examined and revised by the principal investigator before being sent to the participants.
Ethics and privacy All components of this study were approved by the Queen's University Health Sciences and Affiliated Teaching Hospitals Research Ethics Board (TRAQ: 6033212). Participants were only identifiable by an ID number and hard copies of consent forms were stored securely on-site and will be destroyed 5 years after study completion. Participant data was only accessible by the care providers and anonymized data was provided to the analysis team. Participants could withdraw from the study at any point and request for their data to be removed from the analysis. The research team will safeguard the privacy of the participants to the extent permitted by the applicable laws and duty to report. OPTT is Health Insurance Portability and Accountability Act, Personal Information Protection and Electronic Documents Act, and Service Organization Control - 2 compliant. All servers and databases are hosted in Amazon Web Service Canada cloud infrastructure to assure provincial and federal privacy and security regulations are met. OPTT does not collect identifiable personal information or IP addresses. OPTT collects anonymized metadata to improve service quality and provide advanced analytics to the clinician team.
Data Analysis At first, data will be assessed for outliers, missing, and/or nonsensical variables. These variables will not be imputed since they will be handled as missing. Similar studies that involved CBT and e-CBT demonstrated a drop-out rate of up to 40% for both conditions once the study concluded (Bados et.al. 2007). Thus, this study will intentionally over-sample the experimental and control groups to account for this drop-out rate. Given that several outcomes will be used, it is difficult to calculate a single sample size or provide a specific power calculation. However, applying the IMMPACT recommendations for treatment outcomes associated with pain and function, the minimal clinically important difference (MCID) for mood related outcomes is a change higher than 2 to 12 points in mood related scores from baseline (Dworkin et.al. 2008, Gatchel et.al. 2013). Thus, with a sample of 60 participants (30 per arm) and applying the sample size calculation presented by Rosner (2011) with p = 0.05 and a power of 0.95, our study would be able to significantly detect changes in mood scores of 3 to 12 points or higher (depending on the scale). Baseline mood scores related to AUD applied to the sample size calculation were obtained from the literature (O'Reilly et.al. 2019, Jordans et.al. 2019). Using Mann-Whitney-U tests, demographic information from individuals who completed the program and those who dropped out will be compared to identify possible differences. Additionally, an intention-to-treat analysis will be conducted to assess the clinical effects of the program on participants who dropped out prematurely. Linear regression (continuous outcomes) and binomial regression analysis (categorical outcomes) were used to identify variables associated with outcome measures. Comparative analysis between groups was analyzed using group and paired t-tests. OPTT collected usage statistics (i.e., number of logins per day, amount of time spent logged in) will be compared to face-to-face metrics to determine cost and time savings between the two programs.
Current progress According to the literature on the efficacy of CBT in AUD we hypothesize that both e-RPT and face-to-face RPT will reduce alcohol consumption, relapse(s) risk, and improve other outcome measures of interest (depressive symptom, self-efficacy, quality of life, and resilience) (Connor et.al. 2016). This randomized controlled trial was approved by the Queen's University Health Science and Affiliated Teaching Hospitals Research Ethics Board in April 2022 and began recruitment in October 2022. We expect to finalize recruitment and data gathering in October 2023 and analyze the findings by December 2023 at which point we will begin our process of knowledge dissemination (including but not limited to peer-reviewed publications, scientific presentations, grant proposals, and reports).
Conditions
See the medical conditions and disease areas that this research is targeting or investigating.
Study Design
Understand how the trial is structured, including allocation methods, masking strategies, primary purpose, and other design elements.
RANDOMIZED
PARALLEL
TREATMENT
NONE
Study Groups
Review each arm or cohort in the study, along with the interventions and objectives associated with them.
Online relapse prevention therapy (eRPT)
Online relapse preventiontherapy
Online relapse prevention therapy
Participants in the e-RPT group will receive 10 weekly predesigned online modules. The content of this program will involve interactive therapy modules based on the principles of. On average each module consists of 30 slides and should take approximately 45 minutes to complete. At the end of each module, participants will be assigned homework to be completed and submitted to their respective therapists up to 48 hours before their next weekly session. The therapists will develop personalized feedback by using session-specific therapy feedback templates. These templates ensure that feedback is also more standardized and structured between different patients and therapists. In previous studies, therapists have been able to effectively use these templates to prepare feedback in approximately 15-20 minutes. The contents of each session are outlined on the detailed description section.
Face-to-face relapse prevention therapy (RPT)
Face-to-face in-person relapse prevention therapy
Face to face relapse prevention therapy
Participants in the face-to-face intervention will meet with their therapist weekly through Microsoft Teams (video conference). During these 1-hour sessions, therapists will follow the same 10-week structure and content as e-RPT. Though compared to e-RPT, in face-to-face sessions, the homework will be reviewed with the participant, during the session, providing the appropriate feedback. Then the therapists will prepare a weekly patient report of each session for the principal investigator. At the end of each session, participants will receive the same homework as the e-RPT condition which they will receive feedback on during the following face-to-face session. Following the 10-week face-to-face intervention, participants will have the opportunity to join the e-RPT program.
Interventions
Learn about the drugs, procedures, or behavioral strategies being tested and how they are applied within this trial.
Online relapse prevention therapy
Participants in the e-RPT group will receive 10 weekly predesigned online modules. The content of this program will involve interactive therapy modules based on the principles of. On average each module consists of 30 slides and should take approximately 45 minutes to complete. At the end of each module, participants will be assigned homework to be completed and submitted to their respective therapists up to 48 hours before their next weekly session. The therapists will develop personalized feedback by using session-specific therapy feedback templates. These templates ensure that feedback is also more standardized and structured between different patients and therapists. In previous studies, therapists have been able to effectively use these templates to prepare feedback in approximately 15-20 minutes. The contents of each session are outlined on the detailed description section.
Face to face relapse prevention therapy
Participants in the face-to-face intervention will meet with their therapist weekly through Microsoft Teams (video conference). During these 1-hour sessions, therapists will follow the same 10-week structure and content as e-RPT. Though compared to e-RPT, in face-to-face sessions, the homework will be reviewed with the participant, during the session, providing the appropriate feedback. Then the therapists will prepare a weekly patient report of each session for the principal investigator. At the end of each session, participants will receive the same homework as the e-RPT condition which they will receive feedback on during the following face-to-face session. Following the 10-week face-to-face intervention, participants will have the opportunity to join the e-RPT program.
Other Intervention Names
Discover alternative or legacy names that may be used to describe the listed interventions across different sources.
Eligibility Criteria
Check the participation requirements, including inclusion and exclusion rules, age limits, and whether healthy volunteers are accepted.
Inclusion Criteria
* Competence to consent to participate in the study
* Ability to speak and read English
* Consistent and reliable access to the internet
* In contemplation stage of change (according to Readiness for change questionnaire) related to stopping drinking or having stopped consuming alcohol in the past 30 days
Exclusion Criteria
* Acute psychosis
* Active substance use disorder classified as moderate or severe according to the DSM-5
* Active suicidal or homicidal ideation
* Untreated clinically significant somatic symptoms or mental disorders (PHQ ≥ 15, GAD-7 ≥ 15)
* Current enrolment in another relapse prevention program
* Men who drink more than four drinks per day or 14 drinks per week and women who drink three drinks per day or seven drinks per week in the past month
18 Years
64 Years
ALL
No
Sponsors
Meet the organizations funding or collaborating on the study and learn about their roles.
Dr. Nazanin Alavi
OTHER
Responsible Party
Identify the individual or organization who holds primary responsibility for the study information submitted to regulators.
Dr. Nazanin Alavi
Principal investigator
Principal Investigators
Learn about the lead researchers overseeing the trial and their institutional affiliations.
Nazanin Alavi, MD
Role: PRINCIPAL_INVESTIGATOR
Queen's University
Locations
Explore where the study is taking place and check the recruitment status at each participating site.
Queen's University Online Psychotherapy lab
Kingston, Ontario, Canada
Countries
Review the countries where the study has at least one active or historical site.
References
Explore related publications, articles, or registry entries linked to this study.
Rehm J, Mathers C, Popova S, Thavorncharoensap M, Teerawattananon Y, Patra J. Global burden of disease and injury and economic cost attributable to alcohol use and alcohol-use disorders. Lancet. 2009 Jun 27;373(9682):2223-33. doi: 10.1016/S0140-6736(09)60746-7.
Grant BF, Stinson FS, Dawson DA, Chou SP, Dufour MC, Compton W, Pickering RP, Kaplan K. Prevalence and co-occurrence of substance use disorders and independent mood and anxiety disorders: results from the National Epidemiologic Survey on Alcohol and Related Conditions. Arch Gen Psychiatry. 2004 Aug;61(8):807-16. doi: 10.1001/archpsyc.61.8.807.
Kranzler HR, Soyka M. Diagnosis and Pharmacotherapy of Alcohol Use Disorder: A Review. JAMA. 2018 Aug 28;320(8):815-824. doi: 10.1001/jama.2018.11406.
Castillo-Carniglia A, Keyes KM, Hasin DS, Cerda M. Psychiatric comorbidities in alcohol use disorder. Lancet Psychiatry. 2019 Dec;6(12):1068-1080. doi: 10.1016/S2215-0366(19)30222-6. Epub 2019 Oct 17.
Rehm J. The risks associated with alcohol use and alcoholism. Alcohol Res Health. 2011;34(2):135-43.
Rosner B. Fundamentals of Biostatistics. 7th ed. Boston, MA: Brooks/Cole; 2011
Samokhvalov AV, Popova S, Room R, Ramonas M, Rehm J. Disability associated with alcohol abuse and dependence. Alcohol Clin Exp Res. 2010 Nov;34(11):1871-8. doi: 10.1111/j.1530-0277.2010.01275.x.
World Health Organization. International classification of functioning, disability and health. 2001
The Lancet Gastroenterology Hepatology. Drinking alone: COVID-19, lockdown, and alcohol-related harm. Lancet Gastroenterol Hepatol. 2020 Jul;5(7):625. doi: 10.1016/S2468-1253(20)30159-X. No abstract available.
Da BL, Im GY, Schiano TD. Coronavirus Disease 2019 Hangover: A Rising Tide of Alcohol Use Disorder and Alcohol-Associated Liver Disease. Hepatology. 2020 Sep;72(3):1102-1108. doi: 10.1002/hep.31307.
Tull MT, Edmonds KA, Scamaldo KM, Richmond JR, Rose JP, Gratz KL. Psychological Outcomes Associated with Stay-at-Home Orders and the Perceived Impact of COVID-19 on Daily Life. Psychiatry Res. 2020 Jul;289:113098. doi: 10.1016/j.psychres.2020.113098. Epub 2020 May 12.
Clay JM, Parker MO. Alcohol use and misuse during the COVID-19 pandemic: a potential public health crisis? Lancet Public Health. 2020 May;5(5):e259. doi: 10.1016/S2468-2667(20)30088-8. Epub 2020 Apr 8. No abstract available.
Kim JU, Majid A, Judge R, Crook P, Nathwani R, Selvapatt N, Lovendoski J, Manousou P, Thursz M, Dhar A, Lewis H, Vergis N, Lemoine M. Effect of COVID-19 lockdown on alcohol consumption in patients with pre-existing alcohol use disorder. Lancet Gastroenterol Hepatol. 2020 Oct;5(10):886-887. doi: 10.1016/S2468-1253(20)30251-X. Epub 2020 Aug 5. No abstract available.
Barrick C, Connors GJ. Relapse prevention and maintaining abstinence in older adults with alcohol-use disorders. Drugs Aging. 2002;19(8):583-94. doi: 10.2165/00002512-200219080-00004.
Sobell MB, Sobell LC. Controlled drinking after 25 years: how important was the great debate? Addiction. 1995 Sep;90(9):1149-53; discussion 1157-77. No abstract available.
Chick JD. Book Review: Alcoholism Treatment in Transition. 1981
Hunt WA, Barnett LW, Branch LG. Relapse rates in addiction programs. J Clin Psychol. 1971 Oct;27(4):455-6. doi: 10.1002/1097-4679(197110)27:43.0.co;2-r. No abstract available.
Pearson FS, Prendergast ML, Podus D, Vazan P, Greenwell L, Hamilton Z. Meta-analyses of seven of the National Institute on Drug Abuse's principles of drug addiction treatment. J Subst Abuse Treat. 2012 Jul;43(1):1-11. doi: 10.1016/j.jsat.2011.10.005. Epub 2011 Nov 25.
Miller WR, Wilbourne PL. Mesa Grande: a methodological analysis of clinical trials of treatments for alcohol use disorders. Addiction. 2002 Mar;97(3):265-77. doi: 10.1046/j.1360-0443.2002.00019.x.
Carroll KM, Kiluk BD. Cognitive behavioral interventions for alcohol and drug use disorders: Through the stage model and back again. Psychol Addict Behav. 2017 Dec;31(8):847-861. doi: 10.1037/adb0000311. Epub 2017 Aug 31.
Monti, P. M., Kadden, R. M., Rohsenow, D. J., Cooney, N. L., & Abrams, D. B. (2002). (2nd ed.). Guilford Press.
Heather N, Stockwell T. The Essential Handbook of Treatment and Prevention of Alcohol Problems. J. Wiley; 2004
Carroll, K. M. (1996). Relapse prevention as a psychosocial treatment: A review of controlled clinical trials. Experimental and Clinical Psychopharmacology, 4(1), 46-54. https://doi.org/10.1037/1064-1297.4.1.46
Irvin JE, Bowers CA, Dunn ME, Wang MC. Efficacy of relapse prevention: a meta-analytic review. J Consult Clin Psychol. 1999 Aug;67(4):563-70. doi: 10.1037//0022-006x.67.4.563.
McCrady BS. Alcohol use disorders and the Division 12 Task Force of the American Psychological Association. Psychol Addict Behav. 2000 Sep;14(3):267-76.
Magill M, Ray L, Kiluk B, Hoadley A, Bernstein M, Tonigan JS, Carroll K. A meta-analysis of cognitive-behavioral therapy for alcohol or other drug use disorders: Treatment efficacy by contrast condition. J Consult Clin Psychol. 2019 Dec;87(12):1093-1105. doi: 10.1037/ccp0000447. Epub 2019 Oct 10.
Sinha R. The role of stress in addiction relapse. Curr Psychiatry Rep. 2007 Oct;9(5):388-95. doi: 10.1007/s11920-007-0050-6.
Probst C, Manthey J, Martinez A, Rehm J. Alcohol use disorder severity and reported reasons not to seek treatment: a cross-sectional study in European primary care practices. Subst Abuse Treat Prev Policy. 2015 Aug 12;10:32. doi: 10.1186/s13011-015-0028-z.
Johansson M, Sinadinovic K, Gajecki M, Lindner P, Berman AH, Hermansson U, Andreasson S. Internet-based therapy versus face-to-face therapy for alcohol use disorder, a randomized controlled non-inferiority trial. Addiction. 2021 May;116(5):1088-1100. doi: 10.1111/add.15270. Epub 2020 Oct 13.
Andersson G, Titov N. Advantages and limitations of Internet-based interventions for common mental disorders. World Psychiatry. 2014 Feb;13(1):4-11. doi: 10.1002/wps.20083.
Sheehan DV, Lecrubier Y, Sheehan KH, Amorim P, Janavs J, Weiller E, Hergueta T, Baker R, Dunbar GC. The Mini-International Neuropsychiatric Interview (M.I.N.I.): the development and validation of a structured diagnostic psychiatric interview for DSM-IV and ICD-10. J Clin Psychiatry. 1998;59 Suppl 20:22-33;quiz 34-57.
Rollnick S, Heather N, Gold R, Hall W. Development of a short 'readiness to change' questionnaire for use in brief, opportunistic interventions among excessive drinkers. Br J Addict. 1992 May;87(5):743-54. doi: 10.1111/j.1360-0443.1992.tb02720.x.
Cougle JR, Summers BJ, Allan NP, Dillon KH, Smith HL, Okey SA, Harvey AM. Hostile interpretation training for individuals with alcohol use disorder and elevated trait anger: A controlled trial of a web-based intervention. Behav Res Ther. 2017 Dec;99:57-66. doi: 10.1016/j.brat.2017.09.004. Epub 2017 Sep 19.
Witkiewitz K, Stein ER, Votaw VR, Wilson AD, Roos CR, Gallegos SJ, Clark VP, Claus ED. Mindfulness-Based Relapse Prevention and Transcranial Direct Current Stimulation to Reduce Heavy Drinking: A Double-Blind Sham-Controlled Randomized Trial. Alcohol Clin Exp Res. 2019 Jun;43(6):1296-1307. doi: 10.1111/acer.14053. Epub 2019 May 9.
Dawson DA, Grant BF, Li TK. Quantifying the risks associated with exceeding recommended drinking limits. Alcohol Clin Exp Res. 2005 May;29(5):902-8. doi: 10.1097/01.alc.0000164544.45746.a7.
Drinking levels defined. National Institute on Alcohol Abuse and Alcoholism. https://www.niaaa.nih.gov/alcohol-health/overview-alcohol-consumption/moderate-binge-drinking.
Fernandez E, Woldgabreal Y, Day A, Pham T, Gleich B, Aboujaoude E. Live psychotherapy by video versus in-person: A meta-analysis of efficacy and its relationship to types and targets of treatment. Clin Psychol Psychother. 2021 Nov;28(6):1535-1549. doi: 10.1002/cpp.2594. Epub 2021 May 5.
Alavi N, Hirji A. The Efficacy of PowerPoint-based CBT Delivered Through Email: Breaking the Barriers to Treatment for Generalized Anxiety Disorder. J Psychiatr Pract. 2020 Mar;26(2):89-100. doi: 10.1097/PRA.0000000000000455.
Alavi N, Hirji A, Sutton C, Naeem F. Online CBT Is Effective in Overcoming Cultural and Language Barriers in Patients With Depression. J Psychiatr Pract. 2016 Jan;22(1):2-8. doi: 10.1097/PRA.0000000000000119.
Alavi N, Yang M, Stephenson C, Nikjoo N, Malakouti N, Layzell G, Jagayat J, Shirazi A, Groll D, Omrani M, O'Riordan A, Khalid-Khan S, Freire R, Brietzke E, Gomes FA, Milev R, Soares CN. Using the Online Psychotherapy Tool to Address Mental Health Problems in the Context of the COVID-19 Pandemic: Protocol for an Electronically Delivered Cognitive Behavioral Therapy Program. JMIR Res Protoc. 2020 Dec 18;9(12):e24913. doi: 10.2196/24913.
Baltieri DA, Daro FR, Ribeiro PL, de Andrade AG. Comparing topiramate with naltrexone in the treatment of alcohol dependence. Addiction. 2008 Dec;103(12):2035-44. doi: 10.1111/j.1360-0443.2008.02355.x. Epub 2008 Oct 8.
Low-risk alcohol drinking guidelines. Canada.ca. https://www.canada.ca/en/health-canada/services/substance-use/alcohol/low-risk-alcohol-drinking-guidelines.html. Published July 5, 2021
Miller PJ, Ross SM, Emmerson RY, Todt EH. Self-efficacy in alcoholics: clinical validation of the Situational Confidence Questionnaire. Addict Behav. 1989;14(2):217-24. doi: 10.1016/0306-4603(89)90052-x.
Endicott J, Nee J, Harrison W, Blumenthal R. Quality of Life Enjoyment and Satisfaction Questionnaire: a new measure. Psychopharmacol Bull. 1993;29(2):321-6.
Stevanovic D. Quality of Life Enjoyment and Satisfaction Questionnaire-short form for quality of life assessments in clinical practice: a psychometric study. J Psychiatr Ment Health Nurs. 2011 Oct;18(8):744-50. doi: 10.1111/j.1365-2850.2011.01735.x. Epub 2011 May 5.
Aiena BJ, Baczwaski BJ, Schulenberg SE, Buchanan EM. Measuring resilience with the RS-14: a tale of two samples. J Pers Assess. 2015;97(3):291-300. doi: 10.1080/00223891.2014.951445. Epub 2014 Sep 25.
Zelviene P, Jovarauskaite L, Truskauskaite-Kuneviciene I. The Psychometric Properties of the Resilience Scale (RS-14) in Lithuanian Adolescents. Front Psychol. 2021 May 21;12:667285. doi: 10.3389/fpsyg.2021.667285. eCollection 2021.
Litman GK, Stapleton J, Oppenheim AN, Peleg M. An instrument for measuring coping behaviours in hospitalized alcoholics: implications for relapse prevention treatment. Br J Addict. 1983 Sep;78(3):269-76. doi: 10.1111/j.1360-0443.1983.tb02511.x. No abstract available.
Lowe B, Unutzer J, Callahan CM, Perkins AJ, Kroenke K. Monitoring depression treatment outcomes with the patient health questionnaire-9. Med Care. 2004 Dec;42(12):1194-201. doi: 10.1097/00005650-200412000-00006.
Zuithoff NP, Vergouwe Y, King M, Nazareth I, van Wezep MJ, Moons KG, Geerlings MI. The Patient Health Questionnaire-9 for detection of major depressive disorder in primary care: consequences of current thresholds in a crosssectional study. BMC Fam Pract. 2010 Dec 13;11:98. doi: 10.1186/1471-2296-11-98.
Bados A, Balaguer G, Saldana C. The efficacy of cognitive-behavioral therapy and the problem of drop-out. J Clin Psychol. 2007 Jun;63(6):585-92. doi: 10.1002/jclp.20368.
Connor JP, Haber PS, Hall WD. Alcohol use disorders. Lancet. 2016 Mar 5;387(10022):988-998. doi: 10.1016/S0140-6736(15)00122-1. Epub 2015 Sep 3.
Andrews G, Davies M, Titov N. Effectiveness randomized controlled trial of face to face versus Internet cognitive behaviour therapy for social phobia. Aust N Z J Psychiatry. 2011 Apr;45(4):337-40. doi: 10.3109/00048674.2010.538840. Epub 2011 Feb 16.
Coates JM, Gullo MJ, Feeney GFX, Young RM, Dingle GA, Connor JP. Alcohol expectancies pre-and post-alcohol use disorder treatment: Clinical implications. Addict Behav. 2018 May;80:142-149. doi: 10.1016/j.addbeh.2018.01.029. Epub 2018 Jan 31.
Sharma A, Das K, Sharma S, Ghosh A. Feasibility and preliminary effectiveness of internet-mediated 'relapse prevention therapy' for patients with alcohol use disorder: A pilot study. Drug Alcohol Rev. 2022 Mar;41(3):641-645. doi: 10.1111/dar.13395. Epub 2021 Oct 27.
Dworkin RH, Turk DC, Wyrwich KW, Beaton D, Cleeland CS, Farrar JT, Haythornthwaite JA, Jensen MP, Kerns RD, Ader DN, Brandenburg N, Burke LB, Cella D, Chandler J, Cowan P, Dimitrova R, Dionne R, Hertz S, Jadad AR, Katz NP, Kehlet H, Kramer LD, Manning DC, McCormick C, McDermott MP, McQuay HJ, Patel S, Porter L, Quessy S, Rappaport BA, Rauschkolb C, Revicki DA, Rothman M, Schmader KE, Stacey BR, Stauffer JW, von Stein T, White RE, Witter J, Zavisic S. Interpreting the clinical importance of treatment outcomes in chronic pain clinical trials: IMMPACT recommendations. J Pain. 2008 Feb;9(2):105-21. doi: 10.1016/j.jpain.2007.09.005. Epub 2007 Dec 11.
Gatchel RJ, Mayer TG, Choi Y, Chou R. Validation of a consensus-based minimal clinically important difference (MCID) threshold using an objective functional external anchor. Spine J. 2013 Aug;13(8):889-93. doi: 10.1016/j.spinee.2013.02.015. Epub 2013 Mar 21.
O'Reilly H, Hagerty A, O'Donnell S, Farrell A, Hartnett D, Murphy E, Kehoe E, Agyapong V, McLoughlin DM, Farren C. Alcohol Use Disorder and Comorbid Depression: A Randomized Controlled Trial Investigating the Effectiveness of Supportive Text Messages in Aiding Recovery. Alcohol Alcohol. 2019 Jan 9;54(5):551-558. doi: 10.1093/alcalc/agz060.
Jordans MJD, Luitel NP, Garman E, Kohrt BA, Rathod SD, Shrestha P, Komproe IH, Lund C, Patel V. Effectiveness of psychological treatments for depression and alcohol use disorder delivered by community-based counsellors: two pragmatic randomised controlled trials within primary healthcare in Nepal. Br J Psychiatry. 2019 Aug;215(2):485-493. doi: 10.1192/bjp.2018.300. Epub 2019 Jan 25.
Eadie J, Gutierrez G, Moghimi E, Stephenson C, Khalafi P, Nikjoo N, Jagayat J, Gizzarelli T, Reshetukha T, Omrani M, Yang M, Alavi N. Developing and Implementing a Web-Based Relapse Prevention Psychotherapy Program for Patients With Alcohol Use Disorder: Protocol for a Randomized Controlled Trial. JMIR Res Protoc. 2023 Jan 25;12:e44694. doi: 10.2196/44694.
Provided Documents
Download supplemental materials such as informed consent forms, study protocols, or participant manuals.
Document Type: Study Protocol and Statistical Analysis Plan
Document Type: Informed Consent Form
Other Identifiers
Review additional registry numbers or institutional identifiers associated with this trial.
6033212
Identifier Type: -
Identifier Source: org_study_id
More Related Trials
Additional clinical trials that may be relevant based on similarity analysis.