Objectives To estimate total direct health care costs associated to diagnosis and treatment of women with breast cancer in Italy, and to investigate their distribution by service type according to the disease pathway and patient characteristics. Methods Data on patients provided by population-based Cancer Registries are linked at individual level with data on health-care services and corresponding claims from administrative databases. A combination of cross-sectional approach and a threephase of care decomposition model with initial, continuing and final phases-of-care defined according to time occurred since diagnosis and disease outcome is adopted. Direct estimation of cancer-related costs is obtained. Results Study cohort included 49,272 patients, 15.2% were in the initial phase absorbing 42% of resources, 79.7% in the continuing phase absorbing 44% of resources and 5.1% in the final phase absorbing 14% of resources. Hospitalization was the most important cost driver, accounting for over 55% of the total costs. Conclusions This paper represents the first attempt in Italy to estimate the economic burden of cancer at population level taking into account the entire disease pathway and using multiple current health care databases. The evidence produced by the study can be used to better plan resources allocation. The model proposed is replicable to countries with individual health care information on services and claims.

Francisci, S., Guzzinati, S., Capodaglio, G., Pierannunzio, D., Mallone, S., Tavilla, A., et al. (2020). Patterns of care and cost profiles of women with breast cancer in Italy: EPICOST study based on real world data. THE EUROPEAN JOURNAL OF HEALTH ECONOMICS [10.1007/s10198-020-01190-z].

Patterns of care and cost profiles of women with breast cancer in Italy: EPICOST study based on real world data

Mazzucco, Walter;Cusimano, Rosanna;
2020-01-01

Abstract

Objectives To estimate total direct health care costs associated to diagnosis and treatment of women with breast cancer in Italy, and to investigate their distribution by service type according to the disease pathway and patient characteristics. Methods Data on patients provided by population-based Cancer Registries are linked at individual level with data on health-care services and corresponding claims from administrative databases. A combination of cross-sectional approach and a threephase of care decomposition model with initial, continuing and final phases-of-care defined according to time occurred since diagnosis and disease outcome is adopted. Direct estimation of cancer-related costs is obtained. Results Study cohort included 49,272 patients, 15.2% were in the initial phase absorbing 42% of resources, 79.7% in the continuing phase absorbing 44% of resources and 5.1% in the final phase absorbing 14% of resources. Hospitalization was the most important cost driver, accounting for over 55% of the total costs. Conclusions This paper represents the first attempt in Italy to estimate the economic burden of cancer at population level taking into account the entire disease pathway and using multiple current health care databases. The evidence produced by the study can be used to better plan resources allocation. The model proposed is replicable to countries with individual health care information on services and claims.
Settore MED/42 - Igiene Generale E Applicata
Francisci, S., Guzzinati, S., Capodaglio, G., Pierannunzio, D., Mallone, S., Tavilla, A., et al. (2020). Patterns of care and cost profiles of women with breast cancer in Italy: EPICOST study based on real world data. THE EUROPEAN JOURNAL OF HEALTH ECONOMICS [10.1007/s10198-020-01190-z].
File in questo prodotto:
File Dimensione Formato  
Patterns of care and cost pro les of women with breast cancer in Italy: EPICOST study based on real world data.pdf

Solo gestori archvio

Descrizione: Articolo principale
Tipologia: Pre-print
Dimensione 1.37 MB
Formato Adobe PDF
1.37 MB Adobe PDF   Visualizza/Apri   Richiedi una copia

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/10447/422581
Citazioni
  • ???jsp.display-item.citation.pmc??? 3
  • Scopus 6
  • ???jsp.display-item.citation.isi??? 6
social impact