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A pharmacoeconomic evaluation of major depressive disorder (Italy)

Published online by Cambridge University Press:  11 October 2011

Julian Casciano
Affiliation:
1The Analytica Group, New York (USA)
Steven Arikian
Affiliation:
1The Analytica Group, New York (USA) 2Columbia University, School of Public Health
Jean-Eric Tarride
Affiliation:
1The Analytica Group, New York (USA) 3Concordia University, Department of Economics
John J. Doyle
Affiliation:
1The Analytica Group, New York (USA) 2Columbia University, School of Public Health
Roman Casciano*
Affiliation:
1The Analytica Group, New York (USA)
*
Indirizzo per la corrispondenza: Dr. R. Casciano, The Analytica Group, 475 Park Avenue South, New York, NY 10016 (USA). Fax: +1-212-686.8601 E-mail: [email protected]

Summary

Objective – To determine the most cost-effective oral therapy for the treatment of Major Depressive Disorder (MDD) in Italy. Method – We conducted a pharmacoeconomic evaluation based on a decision analytic model that examined the treatment of major depressive disorder (MDD) in Italy. The analysis compared the serotonin norepinephrine reuptake inhibitor (SNRI), venlafaxine extended-release (venlafaxine XR), to selective serotonin reuptake inhibitors (SSRIs) and tricyclic antidepressants (TCAs). A meta-analysis was performed to determine the clinical rates of success. The meta-analytic rates were applied to the decision analytic model to calculate the expected cost and expected outcomes for each anti-depressant comparator. Cost-effectiveness was determined using the expected values for both a successful outcome, and a composite measure of outcome termed ‘symptom-free days’. A policy analysis was conducted to estimate the financial impact to the Servizio Sanitario Nazionale (SSN). Results – Treatment of MDD with venlafaxine XR yielded the highest overall efficacy rates for outpatients (73.7%) versus SSRIs (61.4%) and TCAs (59.3%), and inpatients (62.3%) versus SSRIs (58.6%) and TCAs (58.2%). Venlafaxine XR had the lowest dropout rates due to lack of efficacy (4.8%) versus SSRIs (8.4%) and TCAs (6.8%), and adverse drug reactions (10.9%) versus SSRIs (17.4%) and TCAs (23.1%). Initiating treatment of MDD with venlafaxine XR yielded the lowest expected cost for outpatients and for inpatients. The total resulting savings for the SSN at a 5% venlafaxine XR utilization was estimated between L 963 million and L 3,210 million. Conclusion – This study confirms that venlafaxine XR is generally a cost-effective treatment of MDD. Additionally, the results of this investigation suggest that increased utilization of venlafaxine XR will favorably impact the SSN.

Riassunto

Scopo – Determinare la terapia orale più efficace in termini di costi per il trattamento della depressione maggiore in Italia. Metodo – Abbiamo condotto una valutazione farmacoeconomica basata su un modello analitico di decisione che esaminava il trattamento della depressione maggiore in Italia. L'analisi confrontava l'inibitore della ricaptazione della serotonina e della norepinefrina (SNRI), venlafaxina extended-release (venlafaxina XR), con gli inibitori selettivi della ricaptazione della serotonina (SSRI) e gli antidepressivi triciclici (TCA). È stata condotta una meta-analisi per determinare gli indici clinici di successo. Gli indici meta-analitici sono stati applicati al modello analitico decisionale per calcolare i costi ed i risultati previsti per ogni antidepressivo messo a confronto. L'efficacia dei costi à stata determinata usando i valori previsti sia per un risultato positivo che per una scala di misurazione di risultati composta defmita «giorni privi di sintomi». È stata condotta un'analisi della politica per valutare l'impatto economico sul Sistema Sanitario Nazionale (SSN). Risultati – Il trattamento della depressione maggiore con venlafaxina XR ha ottenuto il più alto l'indice di efficacia generale per i pazienti ambulatoriali (73.7%) contro SSRIs (61.4%) e TCAs (59.3%) e, per i pazienti ricoverati (62.3 %) contro SSRIs (58.6%) e TCAs (58.2%). Venlafaxina XR ha registrato il più basso indice di interruzione terapeutica dovuta ad inefficacia (4.8%) contro SSRIs (8.4%) e TCAs (6.8%), e di reazioni avverse al farmaco (10.9%) contro SSRIs (17.4%) e TCAs (23.1%). L'inizio del trattamento della depressione maggiore con venlafaxina XR ha fatto ottenere i costi previsti più bassi per i pazienti ambulatoriali è per quelli ricoverati. Il risparmio totale risultante per il SSN con un utilizzo di venlafaxina XR pari al 5% è stato stimato tra i 963 e i 3,210 milioni di lire. Conclusioni – Questo studio conferma che venlafaxina XR è generalmente un trattamento efficace in termini di costi della depressione in Italia. Inoltre, i risultati di questa ricerca suggeriscono che un maggiore impiego di venlafaxina XR avrà un impatto favorevole sul SSN.

Type
Articles
Copyright
Copyright © Cambridge University Press 1999

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References

Blumenschein, K. & Johanneson, M. (1996). Economic evaluation in healthcare. Pharmacoeconomics 10, 114122.CrossRefGoogle ScholarPubMed
Carta, M.G., Carpiniello, B., Morosini, P.L. & Rudas, N. (1991). Prevalence of mental disorders in Sardinia: a community study in an inland mining district. Psychological Medicine 21, 10611071.CrossRefGoogle Scholar
Carta, M.G., Carpiniello, B., Kovess, V., Porcedda, R., Zedda, A. & Rudas, N. (1995). Lifetime prevalence of major depression and dysthymia: results of a community survey in Sardinia. European Neuropsychopharmacology, Suppl. 5, 103107.CrossRefGoogle ScholarPubMed
Crott, R. & Gilis, P. (1998). Economic comparisons of the pharmacotherapy of depression: an overview. Acta Psychiatrica Scandinavica 97, 241252.CrossRefGoogle ScholarPubMed
Einarson, T.R., Arikian, S.R. & Doyle, J.J. (1995). Rank Order Stability Analysis (ROSA): testing pharmacoeconomic data. Medical Decision Making 15(4), 367372.CrossRefGoogle ScholarPubMed
Einarson, T.R., Addis, A. & Iskedjian, M. (1997). Pharmacoeconomic analysis of venlafaxine in the treatment of major depressive disorder. Pharmacoeconomics 12 (2pt2), 286296.CrossRefGoogle ScholarPubMed
Einarson, T.R., Arikian, S.R., Casciano, J. & Doyle, J.J. (1999). Comparison of extended-release venlafaxine, selective serotononin reuptake inhibitors, and tricyclic antidepressants in the treatment of depression: a meta-analysis of randomized controlled trials. Clinical Therapeutics 21, 296308.CrossRefGoogle ScholarPubMed
Faravelli, C., Guerrini Degl'Innocenti, B., Aiazzi, L., Incerpi, G. & Pallanti, S. (1990). Epidemiology of mood disorders: a community survey in Florence. Journal of Affective Disorders 20, 135141.CrossRefGoogle ScholarPubMed
Greenberg, P.E.Stiglin, L.E., Finkelstein, S.N. & Berndt, E.R. (1993). The economic burden of depression in 1990. Journal of Clinical Psychiatry 54, 405418.Google ScholarPubMed
Henry, J.A. & Rivas, C.A. (1997). Constraints on antidepressant prescribing and principles of cost-effective antidepressant use. Part 1: depression and its treatment. Pharmacoeconomics 11(5), 419443.CrossRefGoogle ScholarPubMed
Kind, P. & Sorensen, J. (1993). The costs of depression. International Clinical Psychopharmacology 7, 191195.CrossRefGoogle ScholarPubMed
Lepine, J.P., Gastpar, M., Mendlewicz, J. & Tylee, A. (1997). Depression in the community: the first pan-European study DEPRES. International Clinical Psychopharmacology 12(1), 1929.CrossRefGoogle ScholarPubMed
Mapelli, V. (1995). Cost-containment measures in the Italian health care system. Pharmacoeconomics 8(2), 8590.CrossRefGoogle Scholar
Murray, C.J.L. & Lopez, A.D. (1996). The Global Burden of Disease: a Comprehensive Assessment of Mortality and Disability from Diseases, Injuries and Risk Factors in 1990 and Projected to 2020. Harvard University Press: Cambridge, MA.Google Scholar
OECD (1998). Health Data.Google Scholar
Rosenthal, R. (1984). Meta-Analysis in the Social Sciences. Sage Publications: Beverly Hills, CA.Google Scholar
Weissman, M.M., Bland, R.C., Canino, G.J., Faravelli, C., Greenwald, S., Hwu, H.G., Joyce, P.R., Karam, E.G., Lee, C.K., Lellouch, J., Lepine, J.P., Newman, S.C., Rubio-Stipec, M., Wells, J.E., Wickramaratne, P.J., Wittchen, H. & Yeh, E.K. (1996). Cross-national epidemiology of major depression and bipolar disorder. Journal of the American Medical Association 276(4), 293299.CrossRefGoogle ScholarPubMed