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Use of cognitive therapy for relapse prevention in chronic depression

Cost-effectiveness study

Published online by Cambridge University Press:  02 January 2018

Jan Scott
Affiliation:
Institute of Psychiatry, London
Stephen Palmer
Affiliation:
Centre for Health Economics, University of York
Eugene Paykel
Affiliation:
Department of Psychiatry, University of Cambridge
John Teasdale
Affiliation:
MRCCognition and Brain Sciences Unit, Cambridge
Hazel Hayhurst
Affiliation:
Department of Psychiatry, University of Cambridge, UK
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Abstract

Background

There is a lack of data on the cost-effectiveness of relapse prevention in depression.

Method

A total of 158 subjects with partially remitted major depression despite adequate clinical treatment were randomly allocated to cognitive therapy in addition to antidepressants and clinical management v. antidepressants and clinical management alone. Relapse rates and health care resource utilisation were measured prospectively over 17 months.

Results

Cumulative relapse rates in the cognitive therapy group were significantly lower than in the control group (29% v. 47%). The incremental cost incurred in subjects receiving cognitive therapy over 17 months (£779; 95% CI £387–£1170) was significantly lower than the overall mean costs of cognitive therapy (£1164; 95% CI £1084–£1244). The incremental cost-effectiveness ratio ranged from £4328 to £5027 per additional relapse prevented.

Conclusions

In individuals with depressive symptoms that are resistant to standard treatment, adjunctive cognitive therapy is more costly but more effective than intensive clinical treatment alone.

Information

Type
Papers
Copyright
Copyright © Royal College of Psychiatrists, 2003 
Figure 0

Table 1Unit costs for services

Figure 1

Table 2Baseline characteristics of subjects

Figure 2

Table 3Mean cost of treatment using the last value carried forward (LVCF)1

Figure 3

Fig. 1Cost-effectiveness—acceptability curve: probability that preventing an additional relapse is cost-effective as a function of a decision-maker's ceiling cost-effectiveness ratio.

Figure 4

Fig. 2Sensitivity analysis for cost—acceptability curves: imputation techniques v. complete case analysis. Curves: — last value carried forward; - - - mean imputation; — — — multiple imputation; — complete case data analysis only.

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