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London–East Anglia randomised controlled trial of cognitive–behavioural therapy for psychosis

II: Predictors of outcome

Published online by Cambridge University Press:  03 January 2018

Philippa Garety*
Affiliation:
United Medical and Dental School, London
David Fowler
Affiliation:
School of Health Policy and Practice, University of East Anglia, Norwich NR4 7TJ
Elizabeth Kuipers
Affiliation:
Department of Clinical Psychology, Institute of Psychiatry, De Crespigny Park, London SE5 8AF
Daniel Freeman
Affiliation:
Department of Clinical Psychology, Institute of Psychiatry, De Crespigny Park, London SE5 8AF
Graham Dunn
Affiliation:
School of Epidemiology and Health Sciences, University of Manchester, Stopford Building, Oxford Road, Manchester MI3 9PT
Paul Bebbington
Affiliation:
Department of Social and Community Psychiatry, University College London, Archway Wing 1st Floor, Whittington Hospital, Highgate Hill, London N19 5NF
Clare Hadley
Affiliation:
Department of Clinical Psychology, Leeds University, 15 Hyde Terrace, Leeds LS2 9LT
Steven Jones
Affiliation:
United Medical and Dental, Department of Clinical Psychology, Rochdale Healthcare NHS Trust, Birch Hill Hospital, Rochdale OL12 9QB, UK
*
Professor Philippa Garety, United Medical and Dental School, Department of Psychology, St Thomas' Hospital, London SE1 7EH

Abstract

Background

Despite growing evidence of the effectiveness of cognitive–behavioural therapy (CBT) for psychosis, typically only about 50% of patients show a positive response to treatment. This paper reports the first comprehensive investigation of factors which predict treatment outcome.

Method

In a randomised controlled trial of CBT for medication-resistant psychosis (see Part I) measures were taken at baseline of demographic, clinical and cognitive variables. Changes over time were assessed on the Brief Psychiatric Rating Scale and the relationship between potential predictor variables and outcome was investigated using analysis of variance and covariance.

Results

A number of baseline variables were identified as predictors of good outcome in the CBT group. Key predictors were a response indicating cognitive flexibility concerning delusions (P=0.005) and the number of recent admissions (P=0.002). Outcome was less predictable in the control group and was not predicted by any cognitive variable.

Conclusions

Good outcome is strongly predicted in patients with persistent delusions by a cognitive measure, while this was not the case in controls. Thus we argue that positive outcome in CBT is due in part to specific effects on delusional thinking.

Type
Papers
Copyright
Copyright © 1997 The Royal College of Psychiatrists 

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Footnotes

Part 1, ‘Effects of the treatment phase’, published in October 1997 (171, 319–327).

References

REFERENCES

Amador, X. F., Strauss, D. H., Yale, S. A., et al (1993) Assessment of insight in psychosis. American Journal of Psychiatry, 150, 873879.Google Scholar
American Psychiatric Association (1987) Diagnostic and Statistical Manual of Mental Disorders (3rd edn, revised) (DSM–III–R). Washington, DC: APA.Google Scholar
American Psychiatric Association (1994) Diagnostic and Statistical Manual of Mental Disorders (4th edn) (DSM–IV). Washington, DC: APA.Google Scholar
Ammons, R. B. & Ammons, C. H. (1962) Quick Test. Missoula, MT: Psychological Test Specialists.Google Scholar
Beck, A. T., Ward, C. H., Mendelson, M., et al (1961) An inventory for measuring depression. Archives of General Psychiatry, 4, 561571.Google Scholar
Beck, A. T., Weissman, A. W., Lester, D., et al (1974) The measurement of pessimism: the Hopelessness Scale. Journal of Consulting and Clinical Psychology, 42, 861865.Google Scholar
Beck, A. T., Epstein, N., Brown, G., et al (1988) An inventory for measuring clinical anxiety: Psychometric properties. Journal of Consulting and Clinical Psychology, 56, 893897.Google Scholar
Bentall, R. P., Kinderman, P. & Kaney, S. (1994) The self, attributional processes and abnormal beliefs: towards a model of persecutory delusions. Behaviour Research and Therapy, 32, 331341.Google Scholar
Birchwood, M., Smith, J., Cochrane, R., et al (1990) The social functioning scale. British Journal of Psychiatry, 157, 853859.Google Scholar
Bouchard, S., Vallieres, A., Roy, M., et al (1996) Cognitive restructuring in the treatment of psychotic symptoms in schizophrenia: a critical analysis. Behaviour Therapy, 27, 257277.CrossRefGoogle Scholar
Chadwick, P. D. J. & Lowe, C. F. (1990) Measurement and modification of delusional beliefs. Journal of Consulting and Clinical Psychology, 58, 225232.CrossRefGoogle ScholarPubMed
Chadwick, P. D. J., Birchwood, M. J. & Trower, P. (1996) Cognitive Therapy for Delusions, Voices and Paranoia. Chichester: Wiley.Google Scholar
Fowler, D., Garety, P. A. & Kuipers, L. (1995) Cognitive Behaviour Therapy for Psychosis: Theory and Practice. Chichester: Wiley.Google Scholar
Firth, C. D. (1992) The Cognitive Neuropsychology of Schizophrenia. Hove: Erlbaum.Google Scholar
Garety, P. A., Hemsley, D. R. & Wessely, S. (1991) Reasoning in deluded schizophrenic and paranoid patients: biases in performance on a probabilistic inference task. Journal of Nervous and Mental Disease, 179, 194201.Google Scholar
Garety, P. A., & Hemsley, D. R. (1994) Delusions. Investigations into the Psychology of Delusional Reasoning. Oxford: Oxford University Press.Google Scholar
Halligan, P. W. & Marshall, J. C. (eds) (1996) Methods in Madness: Case studies in Cognitive Neuropsychiatry. Hove: Erlbaum.Google Scholar
Kuipers, E., Garety, P. A., Fowler, D., et al (1997) The London–East Anglia Trial of Cognitive Behaviour Therapy for Psychosis I: Effects of the treatment phase. British Journal of Psychiatry, 171, 319327.Google Scholar
Miller, E. (1984) Verbal fluency as a function of a measure of verbal intelligence and in relation to different types of cerebral pathology. British Journal of Clinical Psychology, 23, 5357.CrossRefGoogle ScholarPubMed
Neale, J. M. (1988) Defensive functions of manic episodes. In Delusional Beliefs (eds Oltmanns, T. & Maher, B.), pp. 138156. New York: Wiley.Google Scholar
Nelson, H. E. (1982) The National Adult Reading Test. Windsor. Berks: NFER–Nelson.Google Scholar
Overall, J. E. & Gorham, D. R. (1962) The Brief Psychiatric Rating Scale. Psychological Reports, 10, 799812.Google Scholar
Robson, P. (1989) Development of a new self-report questionnaire to measure self-esteem. Psychological Medicine, 9, 513518.Google Scholar
Shallice, T. & Evans, M. (1978) The involvement of the frontal lobes in cognitive estimation. Cortex, 14, 292303.Google Scholar
Sharp, H. M., Fear, C. F., Williams, J. M. G., et al (1996) Delusional phenomenology - dimensions of change. Behaviour Research and Therapy, 34, 123142.Google Scholar
Tarrier, N., Beckett, R., Harwood, S., et al (1993) A trial of two cognitive–behavioural methods of treating drug-resistant psychotic symptoms in schizophrenic patients: I. utcome. British Journal of Psychiatry, 162, 524532.CrossRefGoogle Scholar
Taylor, P. J., Garety, P. A., Buchanan, A., et al (1994) Delusions and violence. In Violence and Mental Disorder: Developments in Risk Assessment (eds Monahan, J. & Steadman, H.). pp. 161182. Chicago, IL: Chicago University Press.Google Scholar
Wessely, S., Buchanan, A., Reed, A., et al (1993) Acting on delusions. I: Prevalence. British Journal of Psychiatry, 163, 6976.CrossRefGoogle ScholarPubMed
Williams, J. M. G. (1992) The Psychological Treatment of Depression (2nd edn). London: Routledge.Google Scholar
World Health Organization (1992) SCAN: Schedules for Clinical Assessment in Neuropsychiatry. Geneva: WHO.Google Scholar
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