Refining cost-effectiveness analyses using the net benefit approach and econometric methods: an example from a trial of anti-depressant treatment.
J Ment Health
; 22(2): 93-100, 2013 Apr.
Article
en En
| MEDLINE
| ID: mdl-23323672
ABSTRACT
BACKGROUND:
Economic evaluation analyses can be enhanced by employing regression methods, allowing for the identification of important sub-groups and to adjust for imperfect randomisation in clinical trials or to analyse non-randomised data.AIMS:
To explore the benefits of combining regression techniques and the standard Bayesian approach to refine cost-effectiveness analyses using data from randomised clinical trials.METHOD:
Data from a randomised trial of anti-depressant treatment were analysed and a regression model was used to explore the factors that have an impact on the net benefit (NB) statistic with the aim of using these findings to adjust the cost-effectiveness acceptability curves. Exploratory sub-samples' analyses were carried out to explore possible differences in cost-effectiveness. Results The analysis found that having suffered a previous similar depression is strongly correlated with a lower NB, independent of the outcome measure or follow-up point. In patients with previous similar depression, adding an selective serotonin reuptake inhibitors (SSRI) to supportive care for mild-to-moderate depression is probably cost-effective at the level used by the English National Institute for Health and Clinical Excellence to make recommendations.CONCLUSIONS:
This analysis highlights the need for incorporation of econometric methods into cost-effectiveness analyses using the NB approach.
Texto completo:
1
Colección:
01-internacional
Base de datos:
MEDLINE
Asunto principal:
Modelos Econométricos
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Inhibidores Selectivos de la Recaptación de Serotonina
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Trastorno Depresivo
/
Antidepresivos
Tipo de estudio:
Clinical_trials
/
Diagnostic_studies
/
Guideline
/
Health_economic_evaluation
/
Observational_studies
/
Prognostic_studies
/
Risk_factors_studies
Límite:
Adult
/
Female
/
Humans
/
Male
Idioma:
En
Revista:
J Ment Health
Asunto de la revista:
PSICOLOGIA
/
PSIQUIATRIA
Año:
2013
Tipo del documento:
Article
País de afiliación:
Reino Unido