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A Meta-analysis of Brief Personalized Feedback Interventions for Problematic Gambling

  • Samuel C. PeterEmail author
  • Emma I. Brett
  • Matthew T. Suda
  • Eleanor L. S. Leavens
  • Mary Beth Miller
  • Thad R. Leffingwell
  • James P. Whelan
  • Andrew W. Meyers
Review Paper

Abstract

Personal Feedback Interventions (PFIs) have been widely used to reduce the amount of time and money individuals spend on gambling. A central component of these interventions is personalized information about an individual’s gambling behavior, often in comparison to others’ gambling. The purpose of the present review and meta-analysis was to evaluate these interventions in terms of content, mode of delivery, target sample, and efficacy. Sixteen interventions from 11 studies were reviewed. We found a small, statistically significant effect in favor of PFIs versus control (d = 0.20, 95% CI 0.12, 0.27). Six moderators of intervention efficacy were explored. These interventions appeared to be most efficacious when used in populations of greater gambling severity, when individuals were provided with gambling-related educational information, and when used in conjunction with motivational interviewing. Factors associated with reduced efficacy include in-person delivery of feedback without motivational-interviewing and informing participants of their score on a psychological measure of gambling severity. Efficacy did not vary as a function of college or community samples. PFIs are a low cost, easily disseminated intervention that can be used as a harm-reduction strategy. However, more substantial effects may be attained if used as part of a larger course of therapy.

Keywords

Personalized feedback Gambling Meta-analysis Brief treatments 

Notes

Compliance with Ethical Standards

Conflicts of interest

All authors declare that they have no conflicts of interest.

Ethical Approval

All procedures performed in this study involving human participants were in accordance with the ethical standards of the institutional research committee and with the 1964 Helsinki declaration and its later amendments and comparable ethical standards.

References

  1. Borenstein, M., Hedges, L. V., Higgins, J., & Rothstein, H. R. (2009). Chapter 24: Multiple outcomes or timepoints within a study. In Introduction to meta analysis (pp. 225–238). Hoboken: Wiley.Google Scholar
  2. Borsari, B., Murphy, J. G., & Barnett, N. P. (2007). Predictors of alcohol use during the first year of college: Implications for prevention. Addictive Behaviors, 32(10), 2062–2086.CrossRefGoogle Scholar
  3. Celio, M. A., & Lisman, S. A. (2014). Examining the efficacy of a personalized normative feedback intervention to reduce college student gambling. Journal of American College Health, 62(3), 154–164.CrossRefGoogle Scholar
  4. Cohen, J. (1987). Statistical power analysis for the behavioral sciences. Hillside, NJ: Lawrence Erlbaum Associates.Google Scholar
  5. Cowlishaw, S., Merkouris, S., Dowling, N., Anderson, C., Jackson, A., & Thomas, S. (2012). Psychological therapies for pathological gambling and problem gambling (review). Cochrane Database of Systematic Reviews, 2012, 1–91.Google Scholar
  6. Cunningham, J. A., Hodgins, D. C., Toneatto, T., & Murphy, M. (2012). A randomized controlled trial of a personalized feedback intervention for problem gamblers. PLoS ONE, 7(2), e31586.CrossRefGoogle Scholar
  7. Cunningham, J. A., Hodgins, D. C., Toneatto, T., Rai, A., & Cordingley, J. (2009). Pilot study of a personalized feedback intervention for problem gamblers. Behavior Therapy, 40(3), 219–224.CrossRefGoogle Scholar
  8. Currie, S. R., Hodgins, D. C., Casey, D. M., el-Guebaly, N., Smith, G. J., Williams, R. J., et al. (2017). Deriving low-risk gambling limits from longitudinal data collected in two independent Canadian studies. Addiction, 112(11), 2011–2020.CrossRefGoogle Scholar
  9. DerSimonian, R., & Kacker, R. (2007). Random-effects model for meta-analysis of clinical trials: An update. Contemporary Clinical Trials, 28(2), 105–114.CrossRefGoogle Scholar
  10. Gebauer, L., LaBrie, R., & Shaffer, H. J. (2010). Optimizing DSM-IV-TR classification accuracy: A brief biosocial screen for detecting current gambling disorders among gamblers in the general household population. The Canadian Journal of Psychiatry, 55(2), 82–90.CrossRefGoogle Scholar
  11. Hansen, N. B., Lambert, M. J., & Forman, E. M. (2002). The psychotherapy dose-response effect and its implications for treatment delivery services. Clinical Psychology: Science and Practice, 9(3), 329–343.Google Scholar
  12. Higgins, J. P., Thompson, S. G., Deeks, J. J., & Altman, D. G. (2003). Measuring inconsistency in meta-analysis. British Medical Journal, 327, 557–560.CrossRefGoogle Scholar
  13. Hodgins, D. C., Currie, S. R., Currie, G., & Fick, G. H. (2009). Randomized trial of brief motivational treatments for pathological gamblers: More is not necessarily better. Journal of Consulting and Clinical Psychology, 77(5), 950–960.CrossRefGoogle Scholar
  14. Hodgins, D. C., Currie, S. R., & el-Guebaly, N. (2001). Motivational enhancement and self-help treatments for problem gambling. Journal of Consulting and Clinical Psychology, 69(1), 50–57.CrossRefGoogle Scholar
  15. Hoyt, M. F. (2011). Brief psychotherapies. In S. B. Messer & A. S. Gurman (Eds.), Essential psychotherapies (pp. 387–425). New York, NY: Guilford Press.Google Scholar
  16. Larimer, M. E., & Cronce, J. M. (2007). Identification, prevention, and treatment revisited: Individual-focused college drinking prevention strategies 1999–2006. Addictive Behaviors, 32(11), 2439–2468.CrossRefGoogle Scholar
  17. Larimer, M. E., Neighbors, C., Lostutter, T. W., Whiteside, U., Cronce, J. M., Kaysen, D., et al. (2012). Brief motivational feedback and cognitive behavioral interventions for prevention of disordered gambling: A randomized clinical trial. Addiction, 107(6), 1148–1158.CrossRefGoogle Scholar
  18. Lewis, M. A., Patrick, M. E., Litt, D. M., Atkins, D. C., Kim, T., Blayney, J. A., et al. (2014). Randomized controlled trial of a web-delivered personalized normative feedback intervention to reduce alcohol-related risky sexual behavior among college students. Journal of Consulting and Clinical Psychology, 82(3), 429.CrossRefGoogle Scholar
  19. Marchica, L., & Derevensky, J. L. (2016). Examining personalized feedback interventions for gambling disorders: A systematic review. Journal of Behavioral Addictions, 5(1), 1–10.CrossRefGoogle Scholar
  20. Martens, M. P., Arterberry, B. J., Takamatsu, S. K., Masters, J., & Dude, K. (2015). The efficacy of a personalized feedback-only intervention for at-risk college gamblers. Journal of Consulting and Clinical Psychology, 83(3), 494–499.CrossRefGoogle Scholar
  21. McAuley, L., Tugwell, P., & Moher, D. (2000). Does the inclusion of grey literature influence estimates of intervention effectiveness reported in meta-analyses? The Lancet, 356(9237), 1228–1231.CrossRefGoogle Scholar
  22. Miller, M. B., Leavens, E. L., Meier, E., Lombardi, N., & Leffingwell, T. R. (2016). Enhancing the efficacy of computerized feedback interventions for college alcohol misuse: An exploratory randomized trial. Journal of Consulting and Clinical Psychology, 84(2), 122.CrossRefGoogle Scholar
  23. Miller, M. B., Leffingwell, T., Claborn, K., Meier, E., Walters, S., & Neighbors, C. (2013). Personalized feedback interventions for college alcohol misuse: An update of Walters & Neighbors (2005). Psychology of Addictive Behaviors, 27(4), 909.CrossRefGoogle Scholar
  24. Moher, D., Liberati, A., Tetzlaff, J., & Altman, D. G. (2009). Preferred reporting items for systematic reviews and meta-analyses: The PRISMA statement. Annals of Internal Medicine, 151(4), 264–269.CrossRefGoogle Scholar
  25. Morris, S. B., & DeShon, R. P. (2002). Combining effect size estimates in meta-analysis with repeated measures and independent-groups designs. Psychological Methods, 7(1), 105.CrossRefGoogle Scholar
  26. Munder, T., Brütsch, O., Leonhart, R., Gerger, H., & Barth, J. (2013). Researcher allegiance in psychotherapy outcome research: An overview of reviews. Clinical Psychology Review, 33(4), 501–511.CrossRefGoogle Scholar
  27. Neighbors, C., Rodriguez, L. M., Rinker, D. V., Gonzales, R. G., Agana, M., Tackett, J. L., et al. (2015). Efficacy of personalized normative feedback as a brief intervention for college student gambling: A randomized controlled trial. Journal of Consulting and Clinical Psychology, 83(3), 500–511.CrossRefGoogle Scholar
  28. Petry, N. M., Ginley, M. K., & Rash, C. J. (2017). A systematic review of treatments for problem gambling. Psychology of Addictive Behaviors.  https://doi.org/10.1037/adb0000290.
  29. Petry, N. M., Rash, C. J., & Alessi, S. M. (2016). A randomized controlled trial of brief interventions for problem gambling in substance abuse treatment patients. Journal of Consulting and Clinical Psychology, 84(10), 874–886.CrossRefGoogle Scholar
  30. Petry, N. M., Weinstock, J., Ledgerwood, D. M., & Morasco, B. (2008). A randomized trial of brief interventions for problem and pathological gamblers. Journal of Consulting and Clinical Psychology, 76(2), 318–328.CrossRefGoogle Scholar
  31. Petry, N. M., Weinstock, J., Morasco, B. J., & Ledgerwood, D. M. (2009). Brief motivational interventions for college student problem gamblers. Addiction, 104(9), 1569–1578.CrossRefGoogle Scholar
  32. Riper, H., van Straten, A., Keuken, M., Smit, F., Schippers, G., & Cuijpers, P. (2009). Curbing problem drinking with personalized-feedback interventions: A meta-analysis. American Journal of Preventive Medicine, 36(3), 247–255.CrossRefGoogle Scholar
  33. Schultz, P. W., Nolan, J. M., Cialdini, R. B., Goldstein, N. J., & Griskevicius, V. (2007). The constructive, destructive, and reconstructive power of social norms. Psychological Science, 18(5), 429–434.CrossRefGoogle Scholar
  34. Stinchfield, R. (2002). Reliability, validity, and classification accuracy of the South Oaks Gambling Screen (SOGS). Addictive Behaviors, 27(1), 1–19.CrossRefGoogle Scholar
  35. Toneatto, T. (2016). Single-session interventions for problem gambling may be as effective as longer treatments: Results of a randomized control trial. Addictive Behaviors, 52, 58–65.CrossRefGoogle Scholar
  36. Van Houwelingen, H. C., Arends, L. R., & Stijnen, T. (2002). Advanced methods in meta-analysis: Multivariate approach and meta-regression. Statistics in Medicine, 21(4), 589–624.CrossRefGoogle Scholar
  37. Whelan, J. P., Steenbergh, T. A., & Meyers, A. W. (2007). Problem and pathological gambling. Boston: Hogrefe Publishing.Google Scholar

Copyright information

© Springer Science+Business Media, LLC, part of Springer Nature 2019

Authors and Affiliations

  • Samuel C. Peter
    • 1
    Email author return OK on get
  • Emma I. Brett
    • 2
  • Matthew T. Suda
    • 3
  • Eleanor L. S. Leavens
    • 2
  • Mary Beth Miller
    • 4
  • Thad R. Leffingwell
    • 2
  • James P. Whelan
    • 1
  • Andrew W. Meyers
    • 1
  1. 1.Institute of Gambling Education and ResearchThe University of MemphisMemphisUSA
  2. 2.Oklahoma State UniversityStillwaterUSA
  3. 3.University of Tennessee Health Science CenterMemphisUSA
  4. 4.University of MissouriColumbiaUSA

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