Literature DB >> 9068775

Problems in conducting economic evaluations alongside clinical trials. Lessons from a study of case management for people with mental disorders.

A M Gray1, M Marshall, A Lockwood, J Morris.   

Abstract

BACKGROUND: Case management has become the statutory basis of community care in the UK for people with long-term mental disorders, although a randomised controlled trial found no important improvements over standard care. Here we compare the costs and cost consequences of this intervention with standard care.
METHOD: Resource-use data were collected over a six-month baseline period and for 14 months after randomisation on all patients in the trial.
RESULTS: At 14 months the ratio of control group to treatment group weekly costs was 1.09 (95% CI 0.86-1.38) for total costs; 1.12 (0.76-1.65) for state benefits, and 1.21 (0.61-2.42) for health care costs. Costs were thus lower in the treatment group, but these differences were not significant.
CONCLUSIONS: Retrospective power calculations indicated that the trial could have detected differences of 30% in total cost, but would have required 700 patients per arm to detect a 20% difference in health care costs. Hence this study, which had adequate power to detect clinically meaningful differences, was found to be far too small to detect large differences in costs. Funding agencies increasingly request that clinical trials include economic alongside clinical end-points: these findings may have important lessons for that policy.

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Year:  1997        PMID: 9068775     DOI: 10.1192/bjp.170.1.47

Source DB:  PubMed          Journal:  Br J Psychiatry        ISSN: 0007-1250            Impact factor:   9.319


  11 in total

Review 1.  How should cost data in pragmatic randomised trials be analysed?

Authors:  S G Thompson; J A Barber
Journal:  BMJ       Date:  2000-04-29

Review 2.  Common errors and controversies in pharmacoeconomic analyses.

Authors:  S Byford; S Palmer
Journal:  Pharmacoeconomics       Date:  1998-06       Impact factor: 4.981

Review 3.  Intensive case management for severe mental illness.

Authors:  Marina Dieterich; Claire B Irving; Bert Park; Max Marshall
Journal:  Cochrane Database Syst Rev       Date:  2010-10-06

4.  Chronic fatigue in general practice: economic evaluation of counselling versus cognitive behaviour therapy.

Authors:  D Chisholm; E Godfrey; L Ridsdale; T Chalder; M King; P Seed; P Wallace; S Wessely
Journal:  Br J Gen Pract       Date:  2001-01       Impact factor: 5.386

Review 5.  Methods for claims-based pharmacoeconomic studies in psychosis.

Authors:  Frank Gianfrancesco; Ruey-Hua Wang; Ramy Mahmoud; Richard White
Journal:  Pharmacoeconomics       Date:  2002       Impact factor: 4.981

6.  Cost-effectiveness of assertive community treatment versus standard case management for persons with co-occurring severe mental illness and substance use disorders.

Authors:  R E Clark; G B Teague; S K Ricketts; P W Bush; H Xie; T G McGuire; R E Drake; G J McHugo; A M Keller; M Zubkoff
Journal:  Health Serv Res       Date:  1998-12       Impact factor: 3.402

7.  Tapering off benzodiazepines in long-term users: an economic evaluation.

Authors:  Richard C Oude Voshaar; Paul F M Krabbe; Wim J M J Gorgels; Eddy M M Adang; Anton J L M van Balkom; Eloy H van de Lisdonk; Frans G Zitman
Journal:  Pharmacoeconomics       Date:  2006       Impact factor: 4.981

Review 8.  Intensive case management for severe mental illness.

Authors:  Marina Dieterich; Claire B Irving; Hanna Bergman; Mariam A Khokhar; Bert Park; Max Marshall
Journal:  Cochrane Database Syst Rev       Date:  2017-01-06

9.  Benefits and costs of supported employment from three perspectives.

Authors:  R E Clark; H Xie; D R Becker; R E Drake
Journal:  J Behav Health Serv Res       Date:  1998-02       Impact factor: 1.505

10.  Costs of an intervention for primary care patients with medically unexplained symptoms: a randomized controlled trial.

Authors:  Zhehui Luo; John Goddeeris; Joseph C Gardiner; Robert C Smith
Journal:  Psychiatr Serv       Date:  2007-08       Impact factor: 3.084

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