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Manage Your Life Online (MYLO): A Pilot Trial of a Conversational Computer-Based Intervention for Problem Solving in a Student Sample

Published online by Cambridge University Press:  30 July 2013

Hannah Gaffney ,
Warren Mansell ,
Rachel Edwards  and
Jason Wright
Hannah Gaffney
Affiliation:
University of Manchester, UK
Warren Mansell*
Affiliation:
University of Manchester, UK
Rachel Edwards
Affiliation:
University of Manchester, UK
Jason Wright
Affiliation:
University of Manchester, UK
*
Reprint requests to Warren Mansell, School of Psychological Sciences, Coupland I, University of Manchester, Oxford Road, Manchester M13 9PL, UK. E-mail: warren.mansell@manchester.ac.uk
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Abstract

Background: Computerized self-help that has an interactive, conversational format holds several advantages, such as flexibility across presenting problems and ease of use. We designed a new program called MYLO that utilizes the principles of Method of Levels (MOL) therapy - based upon Perceptual Control Theory (PCT). Aims: We tested the efficacy of MYLO, tested whether the psychological change mechanisms described by PCT mediated its efficacy, and evaluated effects of client expectancy. Method: Forty-eight student participants were randomly assigned to MYLO or a comparison program ELIZA. Participants discussed a problem they were currently experiencing with their assigned program and completed measures of distress, resolution and expectancy preintervention, postintervention and at 2-week follow-up. Results: MYLO and ELIZA were associated with reductions in distress, depression, anxiety and stress. MYLO was considered more helpful and led to greater problem resolution. The psychological change processes predicted higher ratings of MYLO's helpfulness and reductions in distress. Positive expectancies towards computer-based problem solving correlated with MYLO's perceived helpfulness and greater problem resolution, and this was partly mediated by the psychological change processes identified. Conclusions: The findings provide provisional support for the acceptability of the MYLO program in a non-clinical sample although its efficacy as an innovative computer-based aid to problem solving remains unclear. Nevertheless, the findings provide tentative early support for the mechanisms of psychological change identified within PCT and highlight the importance of client expectations on predicting engagement in computer-based self-help.

Keywords

TransdiagnosticcontrolconflictMethod of Levelscomputer-basedexpectancy
Type
Research Article
Information
Behavioural and Cognitive Psychotherapy , Volume 42 , Issue 6 , November 2014 , pp. 731 - 746
Copyright
Copyright © British Association for Behavioural and Cognitive Psychotherapies 2013 

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References

Baron, R. M. and Kenny, D. A. (1986). The moderator-mediator variable distinction in social psychological research: conceptual, strategic, and statistical considerations. Journal of Personality and Social Psychology, 51, 1173–1182.CrossRefGoogle ScholarPubMed
Carey, T. A. (2006). Method of Levels: how to do psychotherapy without getting in the way. Chicago: Living Control Systems Publishing.Google Scholar
Carey, T. A. (2008a). Hold That Thought! Two steps to effective counselling and psychotherapy with the method of levels. Chapel Hill, NC: NewView Publications.Google Scholar
Carey, T. (2008b). Perceptual control theory and method of levels: contributions to a transdiagnostic perspective. International Journal of Cognitive Therapy, 1, 237–255.CrossRefGoogle Scholar
Carey, T. A., Carey, M., Mullan, R. J., Spratt, C. G. and Spratt, M. B. (2009). Assessing the statistical and personal significance of the method of levels. Behaviour and Cognitive Psychotherapy 37, 311–324.CrossRefGoogle ScholarPubMed
De Graaf, L. E., Huibers, M. J. H., Riper, H., Gerhards, S. A. H. and Arntz, A. (2009). Use and acceptability of unsupported online computerized cognitive behavioural therapy for depression and associations with clinical outcome. Journal of Affective Disorders, 116, 227–231.CrossRefGoogle ScholarPubMed
Higginson, S., Mansell, W. and Wood, A. M. (2011). An integrative mechanistic account of psychological distress, therapeutic change and recovery: the Perceptual Control Theory approach. Clinical Psychology Review, 31, 249–259.CrossRefGoogle ScholarPubMed
Lovibond, S. H. and Lovibond, P. F. (1993). Manual for the Depression Anxiety Stress Scales (DASS). Psychology Foundation Monograph (available from The Psychology Foundation, Room 1005, Mathews Building, University of New South Wales, NSW 2052, Australia).Google Scholar
Lovibond, S. H. and Lovibond, P. F. (1995). Manual for the Depression Anxiety Stress Scales (2nd edn). Psychology Foundation Monograph (available from The Psychology Foundation, Room 1005 Mathews Building, University of New South Wales: Australia).Google Scholar
Mansell, W. (2005). Control theory and psychopathology: an integrative approach. Psychology and Psychotherapy: Theory Research and Practice, 78, 141–178.CrossRefGoogle ScholarPubMed
Mansell, W., Harvey, A., Watkins, E. and Shafran, R. (2009) Conceptual foundations of the transdiagnostic approach to CBT. Journal of Cognitive Psychotherapy, 23, 223–245.CrossRefGoogle Scholar
Murray, K., Pombo-Carril, M. G., Bara-Carril, N., Grover, M., Reid, Y., Langham, C., et al. (2003). Factors determining uptake of a CD-ROM-based CBT self-help treatment for bulimia: patient characteristics and subjective appraisals of self-help treatment. European Eating Disorders Review 11, 243–260.Google Scholar
Powers, W. T. (1973). Behaviour: the control of perception. Chicago, IL: Aldine Publishing Co.Google Scholar
Proudfoot, J. G. (2004). Computer-based treatment for anxiety and depression: is it feasible? Is it effective? Neuroscience and Biobehavioral Reviews, 28, 353–363.Google Scholar
Proudfoot, J., Goldberg, D., Mann, A., Everitt, B., Marks, I. and Gray, J. (2003). Computerised, interactive, multi-media cognitive behavioural program for anxiety and depression in general practice. Psychology Medicine, 33, 217–227.Google Scholar
Rogers, C. R. (1957). The necessary and sufficient conditions for therapeutic personality change. Journal of Counseling Psychology, 21, 95–103.Google Scholar
Shaw, S. C., Marks, I. M. and Toole, S. (1999). FearFighter: lessons from pilot tests of computer self-help for agora/claustro-phobia and panic. MD computing, 16, 44–48.Google Scholar
Sobel, M. E. (1982). Asymptotic confidence intervals for indirect effects in structural equation models. In Leinhardt, S. (Ed.), Sociological Methodology 1982 (pp. 290–312). Washington DC: American Sociological Association.Google Scholar
Waller, R. and Gilbody, S. (2009). Barriers to the uptake of computerized cognitive behavioural therapy: a systematic review of the quantitative and qualitative evidence. Psychological Medicine, 39, 705–712.CrossRefGoogle Scholar
Weizenbaum, J. (1966). Computational linguistics. Communications of the ACM, 9, 36–45.Google Scholar
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