Internet-based cognitive behavior therapy for problem gambling in routine care: protocol for a non-randomized pilot and feasibility trial
Pilot and Feasibility Studies volume 6, Article number: 106 (2020)
Problem gambling and gambling disorder are major public health concerns worldwide, and awareness of associated negative consequences is rising. In parallel, treatment demand has increased, and Internet interventions offer a promising alternative for providing evidence-based treatment at scale to a low cost.
We developed a novel Internet-delivered cognitive behavioral treatment for gambling, based on qualitative interviews with treatment-seeking gamblers, behavioral research on gambling behavior, and the pathway model for problem gambling. This research protocol describes a non-randomized pilot and feasibility trial conducted in routine addiction care with adult treatment-seeking patients (max N = 25) with problem gambling. The primary aim is to ensure acceptability and safety, measured by satisfaction, credibility, working alliance, and possible negative effects. Secondary aims are feasibility of study procedures in terms of recruitment and measurement procedures as well as potential effectiveness measured weekly by gambling symptoms as primary outcome and gambling behavior, quality of life, symptoms of depression and anxiety, alcohol, and drug use as secondary outcomes. Potential mediators measured weekly are loss of control, verbal rules, and well-being.
This study is innovative in several respects, regarding both treatment development and implementation. The results of the study will guide a future randomized controlled trial, as well as the development of the intervention and intervention implementation within ordinary addiction care.
Clinical trials.gov, NCT ID: NCT03946098. Registered 10 May 2019
Gambling, an activity where something of value is risked and the probability of winning or losing is less than certain , can lead to significant and social harm, here termed problem gambling. Problem gambling is defined as “excessive gambling behaviour that creates negative consequences for the gambler, others in his/her social network, and for the community” .
Problem gambling can also be expressed in terms of a clinical diagnosis. In the Diagnostic and Statistical Manual of Mental Disorders, 5th edition (DSM-5) , the clinical diagnostic criteria for pathological gambling were revised and labeled gambling disorder, adding gambling to addiction disorders instead of the previous diagnostic categorization as an impulse control disorder. Gambling disorder was thereby the first addictive behavior not involving a psychoactive substance to be recognized as an addiction diagnosis. Henceforth, the term problem gambling will be used here, sometimes referring to problem gamblers who also fulfil the diagnostic criteria for gambling disorder. The transferral of the gambling disorder diagnosis to addictions was associated with a political process in Sweden, whereby problem gambling received more highly profiled attention from government authorities such as the Public Health Agency and the National Board of Health and Welfare, yielding prevention research summaries and treatment recommendations presented at local and national conferences . In parallel, two significant pieces of legislation were enacted in Sweden following a long period of preparation; one concerned obligatory provision of treatment on par with other addictive disorders, and the second re-regulated the gambling market, including prescription of duty of care actions on the part of the gambling industry.
Problem gambling is associated with severe negative consequences for financial and mental health, including high rates of suicidal ideation and attempts [5, 6]. The past year prevalence of problem gambling in the general population varies globally between 0.3% and 5.3% . In Sweden, the estimated population prevalence of current problem gambling is 2.1% (95% confidence interval [CI] 1.8, 2.4) . A meta-analysis focusing on the prevalence of problem gambling in clinical samples of treatment-seeking substance users found that approximately 23% suffered from conditions along the spectrum of problem gambling . Preliminary studies have suggested that the prevalence of problem gambling among patients and clients within the Swedish primary health care system and social services is 6% and 19%, respectively [10, 11].
Meta-analyses have concluded that psychological treatments, mainly cognitive behavioral therapy (CBT), are effective for reducing gambling behavior and related problems [12, 13]. For example, Pallesen et al. concluded in one meta-analysis  that a range of different self-report measures had been used as outcomes in the included studies, but that the overall between-group effect size, represented as the difference between the mean score in a treatment condition and a no-treatment control condition, was 1.59 (p < .01) at treatment follow (averaging 17 months). Furthermore, CBT has also shown promising results in Internet-delivered formats (iCBT [14, 15];), although a recent scoping review concluded that the current literature is sparse and more research is needed .
Despite relatively high prevalence and associated negative consequences, problem gambling often goes untreated within routine health care. Only 10% of those afflicted seek face-to-face help for gambling problems . A review of barriers for seeking help for gambling problems found that common reported reasons for not seeking treatment included a wish to handle problem by oneself, shame/embarrassment/stigma, unwillingness to admit the problem, concerns about treatment content and quality, lack of knowledge about treatment availability, or practical issues around attending treatment . From a treatment-oriented perspective, the research field of problem gambling has been described as 20–30 years behind that of other substance use disorders [19, 20]. Another treatment-related challenge for problem gambling is psychiatric comorbidity. Håkansson et al.  found that 58% of Swedish treatment-seeking gamblers also suffered from comorbid conditions. Most common were anxiety, stress-related and somatoform disorders (29%), mood disorders (22%), and alcohol and drug use disorders (12%); this result is congruent with international research on comorbidity among treatment-seeking gamblers [22, 23]. In an effort to explain the high prevalence of comorbidity among gamblers, Blaszczynski and Nower  proposed a theoretical etiological pathway model with three different types of problem gamblers: behaviorally conditioned gamblers who gamble due to excitement/arousal, irrational beliefs, habituation, and chasing of losses; emotional vulnerable gamblers who gamble due to mood disturbances, life stresses, poor coping/problem-solving, and substance use; and antisocial/impulsive gamblers who gamble due to neuropsychological impulsive traits, substance use disorders, and antisocial behavior.
Although iCBT has been recommended as a suitable option, particularly for reducing barriers to accessing professional help , few attempts have been made to implement iCBT for problem gambling within existing addiction treatment services. We have developed a novel Internet-delivered cognitive behavioral treatment for gambling based on qualitative interviews with treatment-seeking gamblers (unpublished data), basic research on the learning and maintenance processes of gambling behavior , as well as the pathway model . This protocol describes the first iCBT pilot and feasibility trial within a research program aiming to evaluate and implement treatment models for problem gambling within routine care.
The primary aim of this non-randomized pilot and feasibility trial is to ensure that a novel iCBT treatment is acceptable and safe for patients in routine care. Specifically, we aim to evaluate acceptability and safety in terms of the following:
Possible negative effects due to psychological treatment
Secondly, we aim to evaluate feasibility of the following study procedures for a future randomized controlled trial:
Recruitment procedures and recruitment rates
Measurement procedures within the newly developed Stöd och Behandling (support and treatment) (SaT) platform
Thirdly, we aim to evaluate potential effectiveness and possible mediators of treatment:
Gambling symptoms as the primary outcome
Gambling behavior, quality of life, symptoms of depression and anxiety, alcohol, and drug use as secondary outcomes
Use of stimulus control strategies, loss of control in gambling situations, problematic gambling-related thinking, and well-being, all as possible mediators of treatment effects
The study is a non-randomized pilot and feasibility trial of iCBT with treatment-seeking participants (max N = 25) conducted in routine care. Participants will be assessed for diagnostic criteria of gambling disorder and psychiatric comorbidity prior to treatment and complete self-reported outcome measures pre-treatment (clinical assessment), weekly during treatment, post-treatment, and at a 3-month follow-up. Participants will be allowed 16 weeks to complete the treatment program.
The study was pre-registered at clinicaltrials.gov (NCT ID: NCT03946098). The TREND statement guidelines for non-randomized interventions  will be followed when reporting the trial.
Participants, all treatment-seeking patients, will be recruited via two paths: one indirect and the other direct. The indirect path involves recruiting patients from one of eight outpatient clinics belonging to the publicly operated Stockholm Center for Dependency Disorders. These clinics offer face-to-face treatment to patients with substance use disorders such as alcohol and drugs as well as problem gambling. Support is also offered to the patients’ concerned significant others. Patients seeking treatment for problem gambling undergo a routine assessment visit with a physician, nurse, or psychologist, on which occasion they will be informed that available treatments include face-to-face treatment or iCBT. Written information will be supplied in the form of a pamphlet, and the clinician will be able to answer any questions that arise. The recruiting clinician will make a preliminary assessment of eligibility, administrating the Problem Gambling Severity Index  included in the pamphlet; the purpose of this screening is to ensure that gambling symptoms have been present the last year, and these results will not be reported in the study. Patients deemed eligible and indicating interest in iCBT will be referred via formal clinical referral to the Addiction eClinic, which will make the final decision as to whether iCBT is suitable. The direct recruitment path involves recruiting participants among treatment-seeking patients accessing online self-referral to iCBT at the Addiction eClinic. A physician will screen all self-referrals and schedule suitable patients for a video conference session, for clinical assessment, after which the eClinic will make a final decision as to whether iCBT is suitable. See Fig. 1 for recruitment paths and participant flow.
This is a pilot and feasibility trial conducted in routine care. Although we expect that most participants will fulfill the diagnostic criteria for gambling disorder, as well as criteria for other common psychiatric comorbidities, clinical eligibility criteria will apply, where all treatment-seeking gamblers presenting problem gambling symptoms during the past year, and deemed eligible, will be offered iCBT. The inclusion criteria are (a) having a total score of > = 1 on the Problem Gambling Severity Index , (b) being at least 18 years old, (c) living in Sweden, (d) having the ability to work with online treatment material by themselves, and (e) being able to read and write Swedish.
Participants will be excluded from the study if they (a) fulfill criteria for ongoing manic episode or (b) are undergoing a parallel CBT treatment for problem gambling.
Treatment will be delivered using the recently introduced and nationally available Stöd och Behandling (support and treatment, SaT) platform for Internet-delivered treatments within routine care, both psychiatric and somatic. Usage is not anonymous and requires login using a secure, bank-issued national e-identification solution. The same platform, with different interfaces, is used by patients and health care professionals. Regular licensed clinical psychologists at the eClinic will serve as therapists, involving monitoring, encouraging and praising compliance and progress, unlocking modules, and answering questions. This is typically done through asynchronous messages within the SaT platform, complemented as needed by telephone calls. Established clinical procedure will be followed, including telephone calls at specific timepoints in case of poor compliance (no logins or progress) or indications of suicidality.
Self-rated measures will be collected using the SaT platform from inclusion to treatment termination and using a separate online research platform for the follow-up (due to clinical policy not permitting access to the SaT platform after concluded treatment). All self-report measures apart from initial screening will be completed by the participants online on their own. See Table 1 for full list of measures and the measurement points.
Prior to treatment, participants will be screened with the Problem Gambling Severity Index (PGSI ;) and offered to complete other measures targeting gambling behavior, as part of a separate, parallel Swedish psychometric study . Criteria for Gambling Disorder and comorbidity will be assessed with clinical interviews: the Structured Clinical Interview for Gambling Disorder  and the Mini International Neuropsychiatric Interview, version 7 , respectively. Gambling type according to the pathway model  will be measured with the Gambling Pathways Questionnaire .
Acceptability and safety measures
Satisfaction with treatment and potential negative effects due to treatment will be measured with the Client Satisfaction Questionnaire—8-item version  and the Negative Effects Questionnaire—20-item version , respectively, both administered at post-treatment. Perceived credibility and expectancy will be measured with the Credibility/Expectancy questionnaire , administered at the end of the second introductory treatment module. Working alliance will be measured with the Working Alliance Inventory-Revised Short Version , at the end of the third treatment module.
Feasibility of study procedures
The recruitment rate will be defined as the number of participants recruited per month. This will serve as a basis for evaluating—and possibly adapting—the recruitment procedures described above, to ensure power in a planned future randomized controlled trial. Measurement procedures within the SaT platform will also be piloted during the trial, for example to ensure reliable measurement points and data extraction.
Primary outcome measure of potential effectiveness
The primary outcome, gambling symptoms, will be measured with the Gambling Symptom Assessment Scale which is a valid and reliable measure for assessing clinical change during treatment studies. The Gambling Symptom Assessment Scale have been evaluated in a population of treatment-seeking gamblers, compared to other gambling measures and clinical ratings administered weekly during a 12-week study period, showing excellent convergent validity, excellent internal consistency (α = 0.87), and test-retest reliability 0.56 . In this study, the Gambling Symptom Assessment Scale will be administered at pre-treatment, weekly during treatment, post-treatment, and at the 3-month follow-up.
Secondary outcome measures
Secondary outcomes will encompass gambling behavior, mental health, substance use, and quality of life. Gambling behavior (gambling type, frequency, time spent, money wagered, sums won-lost) will be measured by the Gambling TimeLine Follow Back, a reliable and valid method for assessing gambling behavior among gamblers and problem gamblers [36, 37]. Mental health (depression and anxiety) will be measured by the 9-item Patient Health Questionnaire  and the 7-item Generalized Anxiety Disorder scale . Alcohol use will be measured by the Alcohol Use Disorders Identification Test , and drug use will be measured by the Drug Use Disorders Identification Test . Quality of life will be measured by the 26-item World Health Organization Quality of Life-BREF questionnaire .
Process measures (possible mediators)
This study will explore four possible mediators of treatment effects to be explored further in a planned future randomized controlled trial. Stimulus control strategies to limit access to gambling opportunities (for example, self-exclusion) will be measured by an item constructed for the purpose of this study. Loss of control in gambling situations will be measured by a revised version of item 15 from the Scale of Gambling Choices , and problematic gambling-related thinking (for example, “If I lose money gambling, I should try to win it back”) will be measured by revised versions of items 6, 7, 8, and 13 from the Gambler’s Beliefs Questionnaire .In order to facilitate ease of response and consistency, all items will be rated using a 0–100 visual analog scale, regardless of original response format. Participants will also rate general well-being using the same scale.
Treatment will consist of a 1 + 10 module iCBT program targeting problem gambling, newly developed by the authors (see TIDIER supplementary material). The pre-program module will contain an introduction to online treatment as well as collection of pre-treatment measures within the SaT platform. After that, participants will complete the 10 treatment modules at a pace of once a week, completing homework assignments facilitating behavior change during each week. The authors’ experience of iCBT delivery for addictive disorders in a clinical setting is that participants work at a slower pace than one module per week and are likely to need longer to complete the treatment. Hence, participants will be allowed 16 weeks to complete the program (with exceptions possible if deemed clinically appropriate), and measures will be collected alongside each module, which is unlocked at a maximum pace of once per week. During treatment, participants will have online contact via asynchronous secure messages with an assigned clinical psychologist at the Addiction eClinic.
A bottom-up procedure was used to develop the treatment protocol, inspired by Clark’s method for developing novel CBT treatments . A comprehensive description of the development process is outside the scope of this article and will be described elsewhere. Briefly, we developed a clinical model delineating factors that contribute to the persistence of problem gambling behavior. We then aligned these with treatment interventions targeting each specific factor, based on qualitative interviews with treatment-seeking gamblers with or without psychiatric comorbidity (unpublished data), basic experimental research on the learning, and maintenance processes of gambling behavior , as well as the pathway model . See Table 2 for a description of treatment content per module and corresponding exercises, and Fig. 2 for examples of iCBT treatment content.
This study will be conducted within routine care, meaning that all patient safety procedures apply. Before the study, all patients and potential participants are assessed for suitability for online treatment (including assessment of suicide risk), patient activity (including measures) is monitored weekly, and there is a procedure for handling absence of activity, including secure messages, telephone calls, and/or letters, at different timepoints. Patients will have the option of continuing contact with their recruiting clinic for any additional treatment needs.
All participants will provide digital informed consent in the first pre-program module of the online program. Since the study is carried out within a clinical context with treatment-seeking patients, those patients who do not wish to provide consent for research participation will nonetheless receive exactly the same treatment, but not included in study-related data collection and analysis. This study is approved by the Regional Ethics Board of Stockholm, Sweden (ref. no. 2017/1479-31), pending a minor amendment.
Planned statistical analyses
Descriptive statistics on treatment credibility, treatment satisfaction, and working alliance will be presented in means and standard deviations. Occurrence of possible negative effects due to psychological treatment will be presented descriptively and in frequencies, means, and standard deviations.
Scores from the Gambling Symptom Assessment Scale and TLFB-derived measures, collected weekly, will be modeled using appropriate mixed effects models  depending on distribution (e.g., Gaussian, lognormal, Poisson, zero-inflated versions), with maximum likelihood estimation of missing data and appropriate numeric time-variable(s) . Outcome measures collected less frequently will be modeled using Generalized Estimating Equations. The results will be used to calculate power and sample size in a planned future randomized controlled trial. In the current study, we aim to recruit n = 25 participants to assess feasibility; assuming that sample baseline means and standard deviations on the Gambling Symptom Assessment Scale are similar to an ongoing treatment study at the same treatment center (M = 24.9, SD = 11), the pilot study should be able to detect a within-group effect size of at least d > 0.6 under realistic circumstances. See Fig. 3 for a power spectrum plot, showing what corresponding effect size (as a function of a range of post-treatment means and standard deviations) can be detected with 80% power, with different assumed within-subject correlations.
We will explore possible mediators of treatment effects by examining correlations between change in symptoms and change in the process measures, and we will also explore time-lagged effects. Descriptive statistics on acceptability measures and platform activity (completed modules, number of logins, etc.) will also be presented.
This non-randomized trial aims to evaluate the acceptability, feasibility, potential effectiveness, and possible negative effects of a novel iCBT protocol in a sample of treatment-seeking participants with problem gambling within routine care. The study is innovative in several respects.
Firstly, the study will be conducted in routine care for problem gambling with a sample of treatment-seeking patients, most of whom are expected to meet criteria for gambling disorder. The external validity of the study will thus be very high. All treatment-seeking patients, including those with comorbidities, will be offered iCBT. This is uncommon, as patients with comorbidities are often excluded from treatment studies as well as from gambling treatment within routine care. A further advantage with iCBT is that it can reduce the waiting time to initiate treatment. The waiting time for group treatment for problem gambling at the Stockholm Center for Dependency Disorders can vary greatly between clinics and seasons: patients may have to wait between 1 and 12 months, depending on demand; such a long wait is often too long when considering treatment-relevant factors such as motivational windows that often co-occur with treatment-seeking .
Second, we have used a bottom-up approach in the treatment development process. This includes deriving the treatment content from in-depth clinical interviews with treatment-seeking gamblers, research on the learning, and maintenance processes of gambling behavior, as well as the pathway model for PG . Also, we designed the treatment protocol to build on a simple, delimited set of interventions of presumed greatest importance. This is contrary to typical addiction treatments that offer a smorgasbord of exercises and treatment rationales in an attempt to capture all relevant aspects that may apply differently to different patients. As a research field, the study of treatment for problem gambling is still in its infancy. Current CBT protocols for problem gambling are seldom based on a functional analysis on why problem gambling behavior persists over time despite negative consequences. This is so, despite the fact that problem gambling is a phenomenon that has generated basic research on the learning processes involved. In general, a broad mixture of general CBT components, which have been found effective for other conditions such as depression, anxiety, or alcohol problems, have often been arbitrarily combined into treatment protocols , while interventions targeting key gambling processes such as “chasing losses,” or “loss of control” [2, 50] have been lacking. In contrast, utilizing a few, carefully selected treatment components, will hopefully enable a more clear definition of what to prioritize in treatment, opportunities for continuous applied behavior change, as well as better controlled studies in terms of mediating and moderating factors.
Third, this study aims to evaluate novel treatment content in an iCBT format without prior face-to-face evaluation. This is uncommon, but in view of the large body of evidence indicating that iCBT yields outcomes comparable to face-to-face treatment , the increasing acceptance of iCBT as a treatment form, and the availability of an eClinic within the Stockholm Center for Dependency Disorders as the trial setting, we have opted to eliminate the step of face-to-face evaluation, instead using telephone and video meetings, prior to the iCBT launch in this pilot and feasibility trial. Additionally, we see the use of the nationally available SaT digital platform, as enabling rapid development, deployment and dissemination, evaluation, and optimization of novel treatment interventions into routine care.
The study will also be subject to some limitations. A non-randomized pilot and feasibility trial will not yield knowledge on whether observed effects are causal, nor enable evaluation of effects for specific subgroups of gamblers through randomization to typical or subgroup-tailored treatment. By design, this single-arm study will only provide an uncontrolled estimate of the treatment effect and not of the spontaneous remission or treatment-as-usual, to which the treatment effect will be compared in future randomized trials. However, non-randomized pilot trial designs are common as a first step in the development and evaluation of novel interventions. Apart from evaluating acceptability, feasibility, possible effectiveness, and potential negative effects, the pilot outcomes of this study will hopefully provide some clues as to whether further treatment adaptations for problem gambling and comorbidity specifically, might be necessary, a research question which can then be explored in a future randomized controlled trial.
Availability of data and materials
No data is available.
Cognitive behavioral therapy
Diagnostic and Statistical Manual of Mental Disorders, 5th edition
Internet-delivered cognitive behavioral therapy
International Society for Research on Internet Interventions
Responding to and Reducing Gambling Problems–Studies in Help-seeking, Measurement, Comorbidity and Policy Impacts
The Stöd och Behandling (support and treatment) platform
Shaffer HJ, Martin R. Disordered gambling: etiology, trajectory, and clinical considerations. Annual Review of Clinical Psychology. 2011;7:483–510.
Blaszczynski A, Nower L. A pathways model of problem and pathological gambling. Addiction. 2002;97(5):487–99.
American Psychiatric Association. Diagnostic and Statistical Manual of Mental Disorders. 5th ed. Washington, DC; 2013.
Socialstyrelsen. Behandling av spelmissbruk och spelberoende. Kunskapsstöd med nationella rekommendationer till hälso- och sjukvården och socialtjänsten. 2017. Available from: http://www.socialstyrelsen.se/Lists/Artikelkatalog/Attachments/20774/2017-12-20.pdf.
Newman SC, Thompson AH. A population-based study of the association between pathological gambling and attempted suicide. Suicide & Life-Threatening Behavior. 2003;33(1):80–7.
Rychtarik R, McGillicuddy N. Preliminary evaluation of a coping skills training program for those with a pathological-gambling partner. Journal of Gambling Studies. 2006;22(2):165–78.
Dąbrowska K, Moskalewicz J. Wieczorek \Lukasz. Barriers in access to the treatment for people with gambling disorders. Are they different from those experienced by people with alcohol and/or drug dependence? Journal of Gambling Studies. 2017;33(2):487–503.
Abbott M, Romild U, Volberg R. The prevalence, incidence, and gender and age-specific incidence of problem gambling: results of the Swedish longitudinal gambling study (Swelogs). Addiction. 2018;113(4):699–707.
Cowlishaw S, Merkouris S, Chapman A, Radermacher H. Pathological and problem gambling in substance use treatment: A systematic review and meta-analysis. Journal of Substance Abuse Treatment. 2014;46(2):98–105.
Dahlberg M, Anderberg M. Att upptäcka spelproblem–ett pilotprojekt vid ett socialkontor. Socialmedicinsk Tidskr. 2015;92(4):505–18.
Nehlin C, Nyberg F, Jess K. Brief intervention within primary care for at-risk gambling: a pilot study. Journal of Gambling Studies. 2016;32(4):1327–35.
Cowlishaw S, Merkouris S, Dowling N, Anderson C, Jackson A, Thomas S. Psychological therapies for pathological and problem gambling. Cochrane Depress Anxiety Neurosis Group. 2012;11.
Pallesen S, Mitsem M, Kvale G, Johnsen BH, Molde H. Outcome of psychological treatments of pathological gambling: a review and meta-analysis. Addiction. 2005;100(10):1412–22.
Carlbring P, Smit F. Randomized trial of internet-delivered self-help with telephone support for pathological gamblers. Journal of Consulting and Clinical Psychology. 2008;76(6):1090–4.
Carlbring P, Degerman N, Jonsson J, Andersson G. Internet-based treatment of pathological gambling with a three-year follow-up. Cognitive Behaviour Therapy. 2012;41(4):321–34.
van der Maas M, Shi J, Elton-Marshall T, Hodgins DC, Sanchez S, Lobo DS, et al. Internet-based interventions for problem gambling: scoping review. JMIR Ment Health. 2019 [cited 2019 Apr 8];6(1). Available from: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6329421/.
Slutske WS. Natural recovery and treatment-seeking in pathological gambling: results of two U.S. national surveys. The American Journal of Psychiatry. 2006;163(2):297–302.
Suurvali H, Cordingley J, Hodgins D, Cunningham J. Barriers to Seeking Help for Gambling Problems: A Review of the Empirical Literature. Journal of Gambling Studies. 2009;25(3):407–24.
Orford J. Problem gambling and other behavioural addictions. London: Office of Science and Technology, UK Government; 2003.
Orford J. Asking the right questions in the right way: the need for a shift in research on psychological treatments for addiction. Addiction. 2008;103(6):875–85.
Håkansson A, Mårdhed E, Zaar M. Who seeks treatment when medicine opens the door to pathological gambling patients— psychiatric comorbidity and heavy predominance of online gambling. Frontiers in Psychiatry. 2017;8.
Dowling NA, Cowlishaw S, Jackson AC, Merkouris SS, Francis KL, Christensen DR. Prevalence of psychiatric co-morbidity in treatment-seeking problem gamblers: a systematic review and meta-analysis. The Australian and New Zealand Journal of Psychiatry. 2015;49(6):519–39.
Dowling NA, Merkouris SS, Lorains FK. Interventions for comorbid problem gambling and psychiatric disorders: Advancing a developing field of research. Addictive Behaviors. 2016;58:21–30.
Ramnerö J, Molander O, Lindner P, Carlbring P. What can be learned about gambling from a learning perspective? A narrative review. Nord Psychol. 2019:1–20.
Des Jarlais DC, Lyles C, Crepaz N. Improving the reporting quality of nonrandomized evaluations of behavioral and public health interventions: the TREND statement. American Journal of Public Health. 2004;94(3):361–6.
Ferris J, Wynne H. The Canadian Problem Gambling Index: Final Report. 2001;.
Molander O, Volberg R, Sundqvist K, Wennberg P, Månsson V, Berman AH. Development of the gambling disorder identification test (G-DIT): protocol for a delphi method study. JMIR Res Protoc. 2019 [cited 2019 Feb 17];8(1). Available from: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6329424/.
Grant JE, Steinberg MA, Kim SW, Rounsaville BJ, Potenza MN. Preliminary validity and reliability testing of a structured clinical interview for pathological gambling. Psychiatry Research. 2004;128(1):79–88.
Sheehan DV, Lecrubier Y, Sheehan KH, Amorim P, Janavs J, Weiller E, et al. 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. The Journal of Clinical Psychiatry. 1998;59(Suppl 20):22–33 quiz 34-57.
Nower L, Blaszczynski A. Development and Validation of the Gambling Pathways Questionnaire (GPQ). Psychology of Addictive Behaviors. 2016; Available from: https://www.ncbi.nlm.nih.gov/pubmed/27936817.
Attkisson CC, Zwick R. The client satisfaction questionnaire: psychometric properties and correlations with service utilization and psychotherapy outcome. Evaluation and Program Planning. 1982;5(3):233–7.
Rozental A, Kottorp A, Forsström D, Månsson K, Boettcher J, Andersson G, et al. The Negative Effects Questionnaire: psychometric properties of an instrument for assessing negative effects in psychological treatments. Behavioural and Cognitive Psychotherapy. 2019:1–14.
Devilly GJ, Borkovec TD. Psychometric properties of the credibility/expectancy questionnaire. Journal of Behavior Therapy and Experimental Psychiatry. 2000;31(2):73–86.
Hatcher RL, Gillaspy JA. Development and validation of a revised short version of the working alliance inventory. Psychotherapy Research. 2006;16(1):12–25.
Kim SW, Grant JE, Potenza MN, Blanco C, Hollander E. The Gambling Symptom Assessment Scale (G-SAS): a reliability and validity study. Psychiatry Research. 2009;166(1):76–84.
Hodgins DC, Makarchuk K. Trusting Problem Gamblers: Reliability and Validity of Self-Reported Gambling Behavior. Psychology of Addictive Behaviors. 2003;17(3):244–8.
Weinstock J, Whelan JP, Meyers AW. Behavioral assessment of gambling: an application of the timeline followback method. Psychological Assessment. 2004;16(1):72–80.
Kroenke K, Spitzer RL, Williams JB. The PHQ-9: validity of a brief depression severity measure. Journal of General Internal Medicine. 2001;16(9):606–13.
Spitzer RL, Kroenke K, Williams JB, Lowe B. A brief measure for assessing generalized anxiety disorder: the GAD-7. Archives of Internal Medicine. 2006;166(10) Available from: http://archinte.jamanetwork.com/pdfaccess.ashx?url=/data/journals/intemed/5536/ioi60000.pdf.
Saunders JB, Aasland OG, Babor TF, de La Fuente JR, Grant M. Development of the Alcohol Use Disorders Identification Test ( AUDIT): WHO Collaborative Project on Early Detection of Persons with Harmful Alcohol Consumption–II. Addiction (Abingdon, England). 1993;88(6):791.
Berman AH, Bergman H, Palmstierna T, Schlyter F. Evaluation of the Drug Use Disorders Identification Test ( DUDIT) in Criminal Justice and Detoxification Settings and in a Swedish Population Sample. European Addiction Research. 2005;11(1):22–31.
Skevington SM, Lotfy M, O’Connell KA. The World Health Organization’s WHOQOL-BREF quality of life assessment: Psychometric properties and results of the international field trial. A Report from the WHOQOL Group. Quality of Life Research. 2004;13(2):299–310.
Baron E, Dickerson M, Blaszczynski A. ‘The scale of gambling choices’: preliminary development of an instrument to measure impaired control of gambling behaviour. High Stakes Nineties. 1995;2:153–68.
Steenbergh TA, Meyers AW, May RK, Whelan JP. Development and validation of the Gamblers’ Beliefs Questionnaire. Psychology of Addictive Behaviors. 2002;16(2):143.
Clark DM. Developing new treatments: on the interplay between theories, experimental science and clinical innovation. Behaviour Research and Therapy. 2004;42(9):1089–104.
Hesser H. Modeling individual differences in randomized experiments using growth models: Recommendations for design, statistical analysis and reporting of results of internet interventions. Internet Interventions. 2015;2(2):110–20.
Nilsson A, Magnusson K, Carlbring P, Andersson G, Gumpert CH. The development of an Internet-based treatment for problem gamblers and concerned significant others: A pilot randomized controlled trial. Journal of Gambling Studies. 2018;34(2):539–59.
Petry NM. Stages of Change in Treatment-Seeking Pathological Gamblers. Journal of Consulting and Clinical Psychology. 2005;73(2):312–22.
Gooding P, Tarrier N. A systematic review and meta- analysis of cognitive-behavioural interventions to reduce problem gambling: Hedging our bets? Behaviour Research and Therapy. 2009;47(7):592–607.
Chamberlain SR, Stochl J, Redden SA, Odlaug BL, Grant JE. Latent class analysis of gambling subtypes and impulsive/compulsive associations: Time to rethink diagnostic boundaries for gambling disorder? Addictive Behaviors. 2017;72:79–85.
Carlbring P, Andersson G, Cuijpers P, Riper H, Hedman-Lagerlöf E. Internet-based vs. face-to-face cognitive behavior therapy for psychiatric and somatic disorders: an updated systematic review and meta-analysis. Cognitive Behaviour Therapy. 2018;47(1):1–18.
This work has not been published previously; however, parts of it were presented at a symposium on Internet Interventions for Problem Gambling at the 10th International Conference of the International Society for Research on Internet Interventions (ISRII): The Next Generation, Auckland, New Zealand, February 2019. We would like to acknowledge and thank the attending presenters and participants for fruitful comments and discussions. We would also like to thank Miriam Jakobson and Mikael Gajecki at the Addiction eClinic, as well as Amanda Bondestam at the National Swedish Helpline for gamblers for reviewing the treatment program.
The trial is ongoing. Recruitment commenced in November 2019, and an option for online self-referral to the Addiction eClinic was introduced in January 2020. Recruitment is planned to continue until Autumn 2020.
This current study, and the larger research project, has several funding sources. OM and AHB participated in this work within the frame of the Swedish program grant “Responding to and Reducing Gambling Problems–Studies in Help-seeking, Measurement, Comorbidity and Policy Impacts” (REGAPS), financed by the Swedish Research Council for Health, Working Life and Welfare (Forte), grant number 2016-07091. OM is funded for salary by development funds from the Stockholm Health Care Services, Stockholm Region. AHB is funded for salary by the Swedish Research Council (K2012-61-P-22131-01-6). PL, and clinician resources, is funded by a grant from the independent Research Council of Svenska Spel, the Swedish government-operated gambling service provider. PL is also funded by a postdoc grant from the Center for Psychiatry Research, Karolinska Institutet. The other authors have no funding to report. Open access funding provided by Karolinska Institutet.
Ethics approval and consent to participate
This study has been approved by the Regional Ethics Board of Stockholm, Sweden (ref. no. 2019-05479). All participants will sign an informed consent before being enrolled in the study.
Consent for publication
The authors declare that they have no competing interests.
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
About this article
Cite this article
Molander, O., Lindner, P., Ramnerö, J. et al. Internet-based cognitive behavior therapy for problem gambling in routine care: protocol for a non-randomized pilot and feasibility trial. Pilot Feasibility Stud 6, 106 (2020). https://doi.org/10.1186/s40814-020-00647-5
- Problem gambling
- Gambling disorder
- Psychiatric comorbidity
- Ordinary addiction care