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

Author

Listed:
  • Silvia Francisci

    (National Institute of Health)

  • Stefano Guzzinati

    (Azienda Zero)

  • Giulia Capodaglio

    (Azienda Zero)

  • Daniela Pierannunzio

    (National Institute of Health)

  • Sandra Mallone

    (National Institute of Health)

  • Andrea Tavilla

    (National Institute of Health)

  • Tania Lopez

    (National Institute of Health)

  • Susanna Busco

    (ASL Latina)

  • Walter Mazzucco

    (University of Palermo
    Palermo University Hospital “P. Giaccone”)

  • Catia Angiolini

    (Careggi University Hospital)

  • Manuel Zorzi

    (Azienda Zero)

  • Diego Serraino

    (IRCCS)

  • Alessandro Barchielli

    (Institute for Cancer Study and Prevention)

  • Mario Fusco

    (Registro Tumori ASL Napoli 3 sud)

  • Fabrizio Stracci

    (University of Perugia)

  • Fortunato Bianconi

    (University of Perugia)

  • Massimo Rugge

    (University of Padua)

  • Silvia Iacovacci

    (Dipartimento di Prevenzione ASL Latina)

  • Antonio Giampiero Russo

    (Agency for Health Protection of Milan)

  • Rosanna Cusimano

    (Local Health Unit 6)

  • Anna Gigli

    (National Research Council)

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.

Suggested Citation

  • Silvia Francisci & Stefano Guzzinati & Giulia Capodaglio & Daniela Pierannunzio & Sandra Mallone & Andrea Tavilla & Tania Lopez & Susanna Busco & Walter Mazzucco & Catia Angiolini & Manuel Zorzi & Die, 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, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 21(7), pages 1003-1013, September.
  • Handle: RePEc:spr:eujhec:v:21:y:2020:i:7:d:10.1007_s10198-020-01190-z
    DOI: 10.1007/s10198-020-01190-z
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    Cited by:

    1. Susanna Busco & Andrea Tavilla & Anna Gigli & Tania Lopez & Daniela Pierannunzio & Sandra Mallone & Stefano Guzzinati & Giulia Capodaglio & Francesco Giusti & Catia Angiolini & Silvia Francisci, 2021. "A direct method for the identification of patterns of care using administrative databases: the case of breast cancer," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 22(9), pages 1477-1485, December.

    More about this item

    Keywords

    Breast cancer; Health care utilization; Administrative data; Real world data; Cost analysis;
    All these keywords.

    JEL classification:

    • H75 - Public Economics - - State and Local Government; Intergovernmental Relations - - - State and Local Government: Health, Education, and Welfare
    • H51 - Public Economics - - National Government Expenditures and Related Policies - - - Government Expenditures and Health
    • I18 - Health, Education, and Welfare - - Health - - - Government Policy; Regulation; Public Health

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