BMC Psychiatry | |
Evaluating the efficacy of a web-based self-help intervention with and without chat counseling in reducing the cocaine use of problematic cocaine users: the study protocol of a pragmatic three-arm randomized controlled trial | |
Severin Haug1  Boris B. Quednow3  Thilo Beck2  Oliver Berg2  Lars Stark2  Andreas Wenger1  Larissa J. Maier1  Michael P Schaub1  | |
[1] Swiss Research Institute for Public Health and Addiction at the University of Zurich, Konradstrasse 32, Zurich, Switzerland;Arud, Centres for Addiction Medicine, Konradstrasse 32, Zurich, 8005, Switzerland;Department of Psychiatry, Psychotherapy and Psychosomatics, Clinical and Experimental Pharmacopsychology, Psychiatric Hospital of the University of Zurich, Lenggstrasse 31, Zürich, 8032, Switzerland | |
关键词: Social cognition; Motivational interviewing; Cognitive behavioral therapy; Self-help; Web-based; Chat; Internet; Cocaine; | |
Others : 1218923 DOI : 10.1186/s12888-015-0518-6 |
|
received in 2015-03-30, accepted in 2015-06-03, 发布年份 2015 | |
【 摘 要 】
Background
Web-based self-help interventions that aim to reduce problematic substance use are able to reach “hidden” consumer groups in the general population who often fear stigmatization and thus avoid institutional addiction treatment. In Western European countries, including Switzerland, cocaine is the most widely used psychoactive substance after alcohol, tobacco, and cannabis. Although approximately one in six users develop serious problems of dependency, only a minority seeks help from psychiatrists or in outpatient counseling centers or psychiatric hospitals. Offering web-based therapy treatment may potentially reach users who hesitate to approach institutional treatment services and help them reduce their cocaine use before they get into more serious trouble.
Methods/design
The study will use a three-arm randomized controlled trial (RCT) design to test the efficacy of a web-based self-help intervention with or without guided chat counseling compared with that of a waiting list control condition in reducing or stopping cocaine use. The primary outcome measure will be the weekly quantity of cocaine used. Secondary outcome measures will include the number of cocaine use days in the past 30 days, the severity of cocaine dependence, the use of alcohol, tobacco, and/or other illicit drugs, changes in mental health symptoms, and treatment retention. The self-help intervention will consist of eight modules that are designed to reduce cocaine use and depression symptoms. These modules are based on the principles of Motivational Enhancement Therapy and Cognitive Behavioral Therapy, such as Behavioral Self-Management. The three individual chat therapy sessions will be based on the same therapy approaches and will be tailored to participants’ self-help data and aim to assist the reinstatement of social rewards and the improvement of social support and relationships.
Discussion
This study will be the first RCT to test the effectiveness of a web-based self-help intervention in combination with or without chat counseling in reducing cocaine use. The expected findings will contribute substantial knowledge that may help design effective guided and unguided web-based treatment for cocaine users. Moreover, the study will elucidate to what extent a therapeutic alliance with cocaine users can be established in a guided Internet-delivered setting. Additionally, the present study will investigate changes in social support with specific guided therapy interventions that aim to ameliorate social support and social perceptions and compare these changes with those in an unguided self-help intervention
Trial Registration
Current Controlled Trials ISRCTN12205466. Registered 24 February 2015.
【 授权许可】
2015 Schaub et al.
【 预 览 】
Files | Size | Format | View |
---|---|---|---|
20150714020120857.pdf | 1026KB | download | |
Fig. 2. | 147KB | Image | download |
Fig. 1. | 34KB | Image | download |
【 图 表 】
Fig. 1.
Fig. 2.
【 参考文献 】
- [1]Gmel G, Kuendig H, Notari L, Gmel C: Suchtmonitoring Schweiz - Konsum von Alkohol, Tabak und illegalen Drogen in der Schweiz im Jahr 2013. Sucht Schweiz, Lausanne; 2014.
- [2]European Monitoring Centre for Drugs and Drug Addiction: European drug report 2014: trends and developments. Publications Office of the European Union, Luxembourg; 2014.
- [3]Beck F, Guignard R, Legleye S: Does computer survey technology improve reports on alcohol and illicit drug use in the general population? A comparison between two surveys with different data collection modes in france. PLoS One 2014., 9Article ID e85810
- [4]Fendrich M, Johnson TP, Wislar JS, Hubbell A, Spiehler V: The utility of drug testing in epidemiological research: results from a general population survey. Addiction 2004, 99:197-208.
- [5]Maffli E, Delgrande Jordan M, Schaaf S, Dickson-Spillmann M, Künzi U. Act-Info Jahresbericht 2012. Bern; 2013. http://www.bag.admin.ch/themen/drogen/00042/00632/03290/03295/index.html?lang=de. Accessed 27 March 2015.
- [6]Prinzleve M, Haasen C, Zurhold H, Matali JL, Bruguera E, Gerevich J, et al.: Cocaine use in Europe – a multi-centre study: patterns of use in different groups. Eur Addict Res 2004, 10:147-55.
- [7]Haasen C, Prinzleve M, Zurhold H, Rehm J, Güttinger F, Fischer G, et al.: Cocaine use in Europe – a multi-centre study. Eur Addict Res 2004, 10:139-46.
- [8]Wagner FA, Anthony JC: From first drug use to drug dependence; developmental periods of risk for dependence upon marijuana, cocaine, and alcohol. Neuropsychopharmacology 2002, 26:479-88.
- [9]Schaub M, Stohler R: Behandlung der Kokainabhängigkeit – ein multimodales Unterfangen. Swiss Med Forum 2010, 10:437-40.
- [10]Schaub M, Berthel T, Stohler R. Behandlung der Kokainabhängigkeit in der Schweiz: Ausmass und Erfahrung bei der Implementierung von in der internationalen wissenschaftlichen Literatur publizierten Therapieansätzen. Resultate einer Netzwerkumfrage. Abhängigkeiten 2009;3:72–80.
- [11]Miller PG, Sønderlund AL: Using the internet to research hidden populations of illicit drug users: a review. Addiction 2010, 105:1557-67.
- [12]Curry SJ: eHealth research and healthcare delivery beyond intervention effectiveness. Am J Prev Med 2007, 32(5 Suppl):S127-30.
- [13]Copeland J, Martin G: Web-based interventions for substance use disorders: a qualitative review. J Subst Abuse Treat 2004, 26:109-16.
- [14]Postel MG, de Haan HA, ter Huurne ED, Becker ES, de Jong CAJ: Effectiveness of a web-based intervention for problem drinkers and reasons for dropout: randomized controlled trial. J Med Internet Res 2010., 12Article ID e68
- [15]Riper H, Kramer J, Smit F, Conijn B, Schippers G, Cuijpers P: Web-based self-help for problem drinkers: a pragmatic randomized trial. Addiction 2008, 103:218-27.
- [16]Schaub MP, Haug S, Wenger A, Berg O, Sullivan R, Beck T, et al.: Can reduce–the effects of chat-counseling and web-based self-help, web-based self-help alone and a waiting list control program on cannabis use in problematic cannabis users: a randomized controlled trial. BMC Psychiatry 2013, 13:305. BioMed Central Full Text
- [17]Tait RJ, Spijkerman R, Riper H: Internet and computer based interventions for cannabis use: a meta-analysis. Drug Alcohol Depend 2013, 133:295-304.
- [18]Schaub M, Sullivan R, Haug S, Stark L: Web-based cognitive behavioral self-help intervention to reduce cocaine consumption in problematic cocaine users: randomized controlled trial. J Med Internet Res 2012., 14Article ID e166
- [19]Tait RJ. A web-based intervention for users of amphetamine-type stimulants: 3-month outcomes of a randomized controlled trial. JMIR Ment Heal 2014:e1.
- [20]Riper H, Spek V, Boon B, Conijn B, Kramer J, Martin-Abello K, et al.: Effectiveness of E-self-help interventions for curbing adult problem drinking: a meta-analysis. J Med Internet Res 2011., 13Article ID e42
- [21]Riper H, Blankers M, Hadiwijaya H, Cunningham J, Clarke S, Wiers R, Ebert D, Cuijpers P: Effectiveness of guided and unguided low-intensity internet interventions for adult alcohol misuse: a meta-analysis. PLoS One 2014., 9(6) Article ID e99912.
- [22]Velicer WF, Diclemente CC, Rossi JS, Prochaska JO: Relapse situations and self-efficacy: an integrative model. Addict Behav 1990, 15:271-83.
- [23]Blankers M, Koeter MWJ, Schippers GM: Internet therapy versus Internet self-help versus no treatment for problematic alcohol use: a randomized controlled trial. J Consult Clin Psychol 2011, 79:330-41.
- [24]Andersson G, Cuijpers P: Internet-based and other computerized psychological treatments for adult depression: a meta-analysis. Cogn Behav Ther 2009, 38:196-205.
- [25]Spek V, Cuijpers P, Nyklícek I, Riper H, Keyzer J, Pop V: Internet-based cognitive behaviour therapy for symptoms of depression and anxiety: a meta-analysis. Psychol Med 2007, 37:319-28.
- [26]Andersson G, Paxling B, Wiwe M, Vernmark K, Felix CB, Lundborg L, et al.: Therapeutic alliance in guided internet-delivered cognitive behavioural treatment of depression, generalized anxiety disorder and social anxiety disorder. Behav Res Ther 2012, 50:544-50.
- [27]Knaevelsrud C, Maercker A: Internet-based treatment for PTSD reduces distress and facilitates the development of a strong therapeutic alliance: a randomized controlled clinical trial. BMC Psychiatry 2007, 7:13. BioMed Central Full Text
- [28]Preschl B, Maercker A, Wagner B: The working alliance in a randomized controlled trial comparing online with face-to-face cognitive-behavioral therapy for depression. BMC Psychiatry 2011, 11:189. BioMed Central Full Text
- [29]Preller KH, Hulka LM, Vonmoos M, Jenni D, Baumgartner MR, Seifritz E, Dziobek I, Quednow BB. Impaired emotional empathy and related social network deficits in cocaine users. Addict Biol 2013:Article first published online.
- [30]Hulka LM, Preller KH, Vonmoos M, Broicher SD, Quednow BB. Cocaine users manifest impaired prosodic and cross-modal emotion processing. Front Psychiatry. 2013;4:98.
- [31]Preller KH, Herdener M, Schilbach L, Stämpfli P, Hulka LM, Vonmoos M, Ingold N, Vogeley K, Tobler PN, Seifritz E, Quednow BB. Functional changes of the reward system underlie blunted response to social gaze in cocaine users. Proc Natl Acad Sci U S A. 2014;111(7):2842-2847.
- [32]Schaub M, Sullivan R, Stark L: Snow control - an RCT protocol for a web-based self-help therapy to reduce cocaine consumption in problematic cocaine users. BMC Psychiatry 2011, 11:153. BioMed Central Full Text
- [33]Lewinsohn PM: The behavioral study and treatment of depression. In Prog Behav Modif (Vol 1). Edited by Hersen M, Eisler RM, Miller PM. Academic, New York; 1975:19-65.
- [34]D’Zurilla TJ, Nezu AM: Social problem solving in adults. In Advances in cognitivebehavioral research and therapy. 1st edition. Edited by Kendall PC. Academic, New York; 1982.
- [35]McKee SA, Carroll KM, Sinha R, Robinson JE, Nich C, Cavallo D, et al.: Enhancing brief cognitive-behavioral therapy with motivational enhancement techniques in cocaine users. Drug Alcohol Depend 2007, 91:97-101.
- [36]Bock B, Graham A, Sciamanna C, Ph DJK, Whiteley J, Carmona-Barros R, et al.: Smoking cessation treatment on the Internet: content, quality, and usability. Nicotine Tob Res 2004, 6:207-19.
- [37]Eysenbach G: CONSORT-EHEALTH Group: CONSORT-EHEALTH: improving and standardizing evaluation reports of Web-based and mobile health interventions. J Med Internet Res 2011., 13(4) Article ID e126
- [38]Eysenbach G: CONSORT-EHEALTH: implementation of a checklist for authors and editors to improve reporting of web-based and mobile randomized controlled trials. Stud Health Technol Inform 2013, 192:657-61.
- [39]Robinson SM, Sobell LC, Sobell MB, Leo GI: Reliability of the Timeline Followback for cocaine, cannabis, and cigarette use.
- [40]Gossop M, Darke S, Griffiths P, Hando J, Powis B, Hall W, et al.: The Severity of Dependence Scale (SDS): psychometric properties of the SDS in English and Australian samples of heroin, cocaine and amphetamine users. Addiction 1995, 90:607-14.
- [41]Gsellhofer B, Fahrner E-M, Weiler D, Vogt M, Hron U, Platt J. European Addiction Severity Index EuropASI - Deutsche Version Nach Dem Amerikanischen Original von T. McLellan, 5. Ed., 1992, Und Der Europäischen Version EuropASI von A. Kokkevi, Ch. Hartgers, P. Blanken, E.-M. Fahrner, G. Pozzi, E. Tempesta & A. Uchtenh. 1997.
- [42]Rumpf H-J, Meyer C, Hapke U, John U: Screening for mental health: validity of the MHI-5 using DSM-IV Axis I psychiatric disorders as gold standard. Psychiatry Res 2001, 105:243-53.
- [43]Sarason IG, Sarason BR, Shearin EN, Pierce GR: A brief measure of social support: practical and theoretical implications. J Soc Pers Relat 1987, 4:497-510.
- [44]Wilmers F, Munder T, Leonhart R, Herzog T, Plassmann R, Barth J, et al.: Die deutschsprachige Version des Working Alliance Inventory - short revised (WAI-SR) - Ein schulenübergreifendes, ökonomisches und empirisch validiertes Instrument zur Erfassung der therapeutischen Allianz. Klin Diagnostik und Eval 2008, 1:343-58.
- [45]Schmidt J, Lamprecht F, Wittmann WW: Zufriedenheit mit der stationären Versorgung: Entwicklung eines Fragebogens und erste Validitätsuntersuchungen. Psychother Psychosom Med Psychol 1989, 39:248-55.
- [46]Schaub MP, Uchtenhagen A: Building a European consensus on minimum quality standards for drug treatment, rehabilitation and harm reduction. Eur Addict Res 2013, 19:314-24.
- [47]Schaub MP, Wenger A, Bachmann A, Stark L, Haug S: Quality assurance in the guided Internet-based addiction aid as exemplified by the Swiss addiction portal Safe Zone. Suchtmedizin Forsch und Prax 2014, 16:187-93.
- [48]Twisk JWR: Applied longitudinal data analysis for epidemiology: a practical guide. 2nd edition. Cambridge University Press, Cambridge; 2013.