Hostname: page-component-586b7cd67f-g8jcs Total loading time: 0 Render date: 2024-11-28T12:01:36.908Z Has data issue: false hasContentIssue false

Exploring Patterns of Change Processes Over Distinct In-Treatment Phases of Cognitive and Exposure Therapies for Electronic Gaming Machine Problem Gamblers

Published online by Cambridge University Press:  06 August 2018

David Smith*
Affiliation:
Flinders University, Department of Psychiatry, Adelaide, South Australia, Australia
A. Kate Fairweather-Schmidt
Affiliation:
Flinders University, Department of Psychiatry, Adelaide, South Australia, Australia
Rene Pols
Affiliation:
Flinders University, Department of Psychiatry, Adelaide, South Australia, Australia
Peter Harvey
Affiliation:
Deakin University, School of Medicine, Warrnambool, Victoria, Australia
Malcolm Battersby
Affiliation:
Flinders University, Department of Psychiatry, Adelaide, South Australia, Australia
*
*Corresponding author. David Smith, Flinders Human Behaviour and Health Research Unit, GPO Box 2100, Adelaide SA 2001, Australia. Email: [email protected]
Get access

Abstract

Little is known about the change processes in gambling disorder-specific cognitive therapy (CT) and exposure therapy (ET). These therapies are underpinned by the cognitive approach (i.e., restructuring gambling cognitions) and the psychobiological approach (i.e., elimination of gambling urges) to treating problem gambling. Here, piecewise-linear modelling is used in a secondary analysis of randomised trial data for a CT group (n = 44) versus an ET group (n = 43) with the aim to open a discourse on how individuals respond to CT and ET relative to theory. Measures were administered between therapy sessions (average = 6.2 per individual) across 18 weeks for gambling urge (GUS) and gambling cognitions (GRCS). Results indicated the ET group had a stronger reduction in GUS (p < .01) in the first 4 weeks of treatment. Between 4–12 weeks, improvement in GUS (p < .01) and GRCS (p = .02) was more rapid in the CT group. Both groups experienced comparable improvements from 12–18 weeks. These findings have implications for further treatment development, including a combined cognitive and exposure approach that is flexibly adapted to the patient. A larger trial is needed to formally establish change processes and identify differences in problem gambler subgroups. This would provide therapists capacity to offer each patient a clear direction and an expedited pathway to their preferred outcome.

Type
Standard Paper
Copyright
Copyright © The Author(s) 2018 

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

Acosta, MC, Possemato, K, Maisto, SA, Marsch, LA, Barrie, K, Lantinga, L, … Rosenblum, A (2017). Web-delivered CBT reduces heavy drinking in OEF-OIF veterans in primary care with symptomatic substance use and PTSD. Behavior Therapy 48, 262276.Google Scholar
Addis, ME and Jacobson, NS (2000). A closer look at the treatment rationale and homework compliance in cognitive-behavioral therapy for depression. Cognitive Therapy and Research 24, 313326. doi:http://dx.doi.org/10.1023/A:1005563304265Google Scholar
American Psychiatric Association (APA). (2000). Diagnostic and Statistical Manual of Mental Disorders (4th ed., text rev.). Washington, DC: Author.Google Scholar
American Psychiatric Association (A)A). (2013). Diagnostic and statistical manual of mental health disorders (5th ed.). Washington, DC: Author.Google Scholar
Balodis, IM, Lacadie, CM and Potenza, MN (2012). A preliminary study of the neural correlates of the intensities of self-reported gambling urges and emotions in men with pathological gambling. Journal of Gambling Studies 28, 493513. doi:http://dx.doi.org/10.1007/s10899-011-9259-8Google Scholar
Battersby, M, Oakes, J, Tolchard, B, Forbes, A and Pols, R (2008). Cognitive behavioural treatment for problem gamblers. In Zangeneh, M, Blaszczynski, A & Turner, NE (Eds.), In the pursuit of winning (pp. 179197). New York, NY: Springer.Google Scholar
Beck, AT (1991). Cognitive therapy: A 30-year retrospective. American psychologist 46(4), 368Google Scholar
Ben-Tovim, D, Esterman, A, Tolchard, B and Battersby, MW (2001). The Victorian Gambling Screen: Project report. Melbourne, Australia: Victorian Research Panel.Google Scholar
Bohn, MJ, Krahn, DD and Staehler, BA (1995). Development and initial validation of a measure of drinking urges in abstinent alcoholics. Alcoholism, Clinical and Experimental Research 19, 600606.Google Scholar
Brown, RIF (1987). Classical and operant paradigms in the management of gambling addictions. Behavioural Psychotherapy 15, 111122.Google Scholar
Cowlishaw, S, Merkouris, S, Dowling, N, Anderson, C, Jackson, A and Thomas, S (2012). Psychological therapies for pathological and problem gambling. Cochrane Database of Systematic Reviews 11, CD008937. doi:http://dx.doi.org/10.1002/14651858.CD008937.pub2Google Scholar
Echeburua, E, Baez, C and Fernandez-Montalvo, J (1996). Comparative effectiveness of three therapeutic modalities in the psychological treatment of pathological gamblers: Long-term outcome. Behavioural and Cognitive Psychotherapy 24, 5172.Google Scholar
Flora, DB (2008). Specifying piecewise latent trajectory models for longitudinal data. Structural Equation Modeling 15, 513533. doi:http://dx.doi.org/10.1080/10705510802154349Google Scholar
Friedman, ES and Thase, ME (2008). Cognitive and behavioral therapies. In Fatemi, SH & Clayton, PJ (Eds.), The medical basis of psychiatry (pp. 635657). Totowa, NJ: Humana Press.Google Scholar
Gadboury, A and Ladouceur, R (1989). Erroneous perceptions and gambling. Journal of Social Behavior & Personality 4, 411420.Google Scholar
Gooding, P and Tarrier, N (2009). A systematic review and meta-analysis of cognitive-behavioural interventions to reduce problem gambling: Hedging our bets? Behaviour Research and Therapy 47, 592607.Google Scholar
Greene, ME, Rolfson, O, Garellick, G, Gordon, M and Nemes, S (2015). Improved statistical analysis of pre- and post-treatment patient-reported outcome measures (PROMs): The applicability of piecewise linear regression splines. Quality of Life Research 24, 567573. doi:http://dx.doi.org/10.1007/s11136-014-0808-3Google Scholar
Guo, Y, Logan, HL, Glueck, DH and Muller, KE (2013). Selecting a sample size for studies with repeated measures. BMC Medical Research Methodology 13, 100. doi:http://dx.doi.org/10.1186/1471-2288-13-100Google Scholar
Hayes, A, Hope, DA and Hayes, S (2007). Towards an understanding of the process and mechanisms of change in cognitive behavioral therapy: Linking innovative methodology with fundamental questions. Clinical Psychology Review 27, 679681. doi:http://dx.doi.org/10.1016/j.cpr.2007.01.006Google Scholar
Hembree, EA, Foa, EB, Dorfan, NM, Street, GP, Kowalski, J and Tu, X (2003). Do patients drop out prematurely from exposure therapy for PTSD? Journal of Traumatic Stress 16, 555562.Google Scholar
Hendershot, CS, Witkiewitz, K, George, WH and Marlatt, GA (2011). Relapse prevention for addictive behaviors. Substance Abuse Treatment, Prevention and Policy 6, 17. doi:http://dx.doi.org/10.1186/1747-597X-6-17Google Scholar
Hodgins, DC and el-Guebaly, N (2004). Retrospective and prospective reports of precipitants to relapse in pathological gambling. Journal of Consulting and Clinical Psychology 72, 7280. doi:http://dx.doi.org/10.1037/0022-006X.72.1.72Google Scholar
Ilardi, SS and Craighead, WE (1999). Rapid early response, cognitive modification, and nonspecific factors in cognitive behavior therapy for depression: A reply to Tang and DeRubeis. Clinical Psychology-Science and Practice 6, 295299. doi:http://dx.doi.org/10.1093/clipsy/6.3.295Google Scholar
Jacobson, NS and Truax, P (1991). Clinical significance: a statistical approach to defining meaningful change in psychotherapy research. Journal of Consulting and Clinical Psychology 59, 1219.Google Scholar
Jimenez-Murcia, S, Aymamí, N, Gómez-Peña, M, Santamaría, JJ, Álvarez-Moya, E, Fernández-Aranda, F, … Menchón, JM (2012). Does exposure and response prevention improve the results of group cognitive-behavioural therapy for male slot machine pathological gamblers? British Journal of Clinical Psychology 51, 5471.Google Scholar
Kazdin, AE (2007). Mediators and mechanisms of change in psychotherapy research. Annual Review of Clinical Psychology 3, 127.Google Scholar
Ladouceur, R, Sylvain, C, Boutin, C, Lachance, S, Doucet, C and Leblond, J (2003). Group therapy for pathological gamblers: A cognitive approach. Behaviour Research and Therapy 41, 587596.Google Scholar
Ladouceur, R, Sylvain, C, Boutin, C, Lachance, S, Doucet, C, Leblond, J and Jacques, C (2001). Cognitive treatment of pathological gambling. Journal of Nervous and Mental Disease 189, 774780.Google Scholar
Larimer, ME, Palmer, RS and Marlatt, GA (1999). Relapse prevention. An overview of Marlatt's cognitive-behavioral model. Alcohol Research and Health 23, 151160.Google Scholar
Laurenceau, JP, Hayes, AM and Feldman, GC (2007). Some methodological and statistical issues in the study of change processes in psychotherapy. Clinical Psychology Review 27, 682695. doi:http://dx.doi.org/10.1016/j.cpr.2007.01.007Google Scholar
Lesieur, HR and Blume, SB (1987). The South Oaks Gambling Screen (SOGS): A new instrument for the identification of pathological gamblers. American Journal of Psychiatry 144, 11841188. doi:http://dx.doi.org/10.1176/ajp.144.9.1184Google Scholar
Loeber, S, Croissant, B, Heinz, A, Mann, K and Flor, H (2006). Cue exposure in the treatment of alcohol dependence: effects on drinking outcome, craving and self-efficacy. British Journal of Clinical Psychology 45, 515529. doi:http://dx.doi.org/10.1348/014466505X82586Google Scholar
Marhe, R, Waters, AJ, van de Wetering, BJ and Franken, IH (2013). Implicit and explicit drug-related cognitions during detoxification treatment are associated with drug relapse: An ecological momentary assessment study. Journal of Consulting and Clinical Psychology 81, 112. doi:http://dx.doi.org/10.1037/a0030754Google Scholar
McClernon, FJ, Hiott, FB, Liu, J, Salley, AN, Behm, FM and Rose, JE (2007). Selectively reduced responses to smoking cues in amygdala following extinction-based smoking cessation: Results of a preliminary functional magnetic resonance imaging study. Addiction Biology 12, 503512. doi:http://dx.doi.org/10.1111/j.1369-1600.2007.00075.xGoogle Scholar
Melville, KM, Casey, LM and Kavanagh, DJ (2007). Psychological treatment dropout among pathological gamblers. Clinical Psychology Review 27, 944958. doi:http://dx.doi.org/10.1016/j.cpr.2007.02.004Google Scholar
Oakes, J, Pols, R, Battersby, M, Lawn, S, Pulvirenti, M and Smith, D (2012). A focus group study of predictors of relapse in electronic gaming machine problem gambling, part 1: Factors that ‘push’ towards relapse. Journal of Gambling Studies 28, 451464.Google Scholar
Ougrin, D (2011). Efficacy of exposure versus cognitive therapy in anxiety disorders: Systematic review and meta-analysis. BMC Psychiatry 11, 200. doi:http://dx.doi.org/10.1186/1471-244X-11-200Google Scholar
Ougrin, D, Zundel, T, Kyriakopoulos, M, Banarsee, R, Stahl, D and Taylor, E (2012). Adolescents with suicidal and nonsuicidal self-harm: Clinical characteristics and response to therapeutic assessment. Psychological Assessment 24, 1120. doi:http://dx.doi.org/10.1037/a0025043Google Scholar
Paris, JJ, Franco, C, Sodano, R, Frye, CA and Wulfert, E (2009). Gambling pathology is associated with dampened cortisol response among men and women. Physiology and Behavior 99, 230233.Google Scholar
Potenza, MN, Balodis, IM, Franco, CA, Bullock, S, Xu, J, Chung, T and Grant, JE (2013). Neurobiological considerations in understanding behavioral treatments for pathological gambling. Psychology of Addictive Behaviors 27, 380392. doi:http://dx.doi.org/10.1037/a0032389Google Scholar
Potenza, MN, Steinberg, MA, Skudlarski, P, Fulbright, RK, Lacadie, CM, Wilber, MK, … Wexler, MD (2003). Gambling urges in pathological gambling: A functional magnetic resonance imaging study. Archives of General Psychiatry 60, 828836. doi:http://dx.doi.org/10.1001/archpsyc.60.8.828Google Scholar
Rabe-Hesketh, S and Skrondal, A (2012). Multilevel and longitudinal modelling using Stata (3rd ed.). College Station, TX: Stata Press.Google Scholar
Raylu, N and Oei, TP (2002). Pathological gambling. A comprehensive review. Clinical Psychology Review 22, 10091061.Google Scholar
Raylu, N and Oei, TP (2004a). The Gambling Related Cognitions Scale (GRCS): Development, confirmatory factor validation and psychometric properties. Addiction 99, 757769. doi:http://dx.doi.org/10.1111/j.1360-0443.2004.00753.xGoogle Scholar
Raylu, N and Oei, TP (2004b). The gambling urge scale: Development, confirmatory factor validation, and psychometric properties. Psychology of Addictive Behaviors 18, 100105. doi:http://dx.doi.org/10.1037/0893-164X.18.2.100Google Scholar
Riley, BJ (2015). The role of homework in exposure-based CBT outcome for problem gambling. International Gambling Studies 15, 394407. doi:http://dx.doi.org/10.1080/14459795.2015.1062532Google Scholar
Smith, D, Pols, R, Lavis, T, Battersby, M and Harvey, P (2016). Experiences and perceptions of problem gamblers on cognitive and exposure therapies when taking part in a randomised controlled trial: A qualitative study. Journal of Gambling Studies 32, 12431260. doi:http://dx.doi.org/10.1007/s10899-015-9589-zGoogle Scholar
Smith, D, Woodman, R, Drummond, A and Battersby, M (2016). Exploring the measurement structure of the Gambling Related Cognitions Scale (GRCS) in treatment-seekers: A Bayesian structural equation modelling approach. Psychiatry Research 237, 9096. doi:http://dx.doi.org/10.1016/j.psychres.2016.02.002Google Scholar
Smith, DP, Battersby, MW, Harvey, PW, Pols, RG and Ladouceur, R (2013). Two-group randomised, parallel trial of cognitive and exposure therapies for problem gambling: A research protocol. BMJ Open 3(6). doi:http://dx.doi.org/10.1136/bmjopen-2013-003244Google Scholar
Smith, DP, Battersby, MW, Harvey, PW, Pols, RG and Ladouceur, R (2015). Cognitive versus exposure therapy for problem gambling: Randomised controlled trial. Behaviour Research and Therapy 69, 100110. doi:http://dx.doi.org/10.1016/j.brat.2015.04.008Google Scholar
Smith, DP, Pols, RG, Battersby, MW and Harvey, PW (2013). The Gambling Urge Scale: Reliability and validity in a clinical population. Addiction Research & Theory 21, 113122.Google Scholar
Sormani, MP and Bruzzi, P (2012). Reporting of subgroup analyses from clinical trials. Lancet Neurology 11, 747; author reply 747–748.Google Scholar
StataCorp. (2015a). Stata 14 base reference manual. College Station, TX: Stata Press.Google Scholar
StataCorp. (2015b). Stata: Release 14.1. Statistical software. College Station, TX: StataCorp LP.Google Scholar
Stinchfield, R (2002). Reliability, validity, and classification accuracy of the South Oaks Gambling Screen (SOGS). Addictive Behaviors 27, 119.Google Scholar
Tamminga, CA and Nestler, EJ (2006). Pathological gambling: Focusing on the addiction, not the activity. The American Journal of Psychiatry 163, 180181.Google Scholar
Terwee, CB, Bot, SDM, de Boer, MR, van der Windt, DA, Knol, DL, Dekker, J, Bouter, LM and de Vet, HC (2007). Quality criteria were proposed for measurement properties of health status questionnaires. Journal of Clinical Epidemiology 60, 3442.Google Scholar
Tiffany, ST (1992). A critique of contemporary urge and craving research — Methodological, psychometric, and theoretical issues. Advances in Behaviour Research and Therapy 14, 123139. doi:http://dx.doi.org/10.1016/0146-6402(92)90005-9Google Scholar
Tolchard, B and Battersby, M (2010). The Victorian Gambling Screen: Reliability and validity in a clinical population. Journal of Gambling Studies 26, 623638.Google Scholar
Tolchard, B, Thomas, L and Battersby, M (2006). Single-session exposure therapy for problem gambling: A single-case experimental design. Behaviour Change 23, 148155.Google Scholar
Vale, K, Smout, M and Blaszczynski, A (2015). A clinician's quick guide of evidence-based approaches: Gambling. Clinical Psychologist 19, 147148.Google Scholar
van Holst, RJ, van den Brink, W, Veltman, DJ and Goudriaan, AE (2010). Brain imaging studies in pathological gambling. Current Psychiatry Reports 12, 418425.Google Scholar
Wilson, GT (1999). Rapid response to cognitive behavior therapy. Clinical Psychology-Science and Practice 6, 289292.Google Scholar
Young, J and Beck, AT (1980). Cognitive therapy scale: Rating manual. Unpublished manuscript, University of Pennsylvania, Philadelpia.Google Scholar