Estimation of direct costs of melanoma in the Veneto Region: a budget assessment and cost-consequence analysis.


Journal

Giornale italiano di dermatologia e venereologia : organo ufficiale, Societa italiana di dermatologia e sifilografia
ISSN: 1827-1820
Titre abrégé: G Ital Dermatol Venereol
Pays: Italy
ID NLM: 8102852

Informations de publication

Date de publication:
Dec 2020
Historique:
pubmed: 16 11 2018
medline: 30 10 2021
entrez: 16 11 2018
Statut: ppublish

Résumé

While many evidence-based pathways have been introduced to drive quality improvements in cancer care, most of these do not include evidence about their affordability. The main aim of this study was to provide an estimation of the overall budget to cover all the needs of melanoma patients in Veneto Region, managed according to the clinical pathway defined by the Rete Oncologica Veneta. A second objective is to conduct a cost-consequence analysis, comparing two different treatments. A very detailed whole-disease model was developed describing the patient's pathway from diagnosis through the first year of follow-up. Each procedure involved in the model was associated with a likelihood measure and a cost. The model can be used to estimate the expected direct costs associated with melanoma. We can observe that 0 and I stage, despite accounting for a huge percentage of new melanoma cases are characterized by a small percentage of the total costs. Stage III can be considered as the most expensive stage accounting for 54% of the total costs with a 12% of patients. Finally, the stage IV patients, although very few accounts for almost the 7% of the total costs. Regarding the cost-consequence analysis, it was estimated that the therapies introduced in 2016 led to an approximately 14% increase in the total costs. Modeling a clinical pathway with a high level of detail enables to identify the main sources of spending. The consequent analysis can thus help policymakers to plan the future resources allocation.

Sections du résumé

BACKGROUND BACKGROUND
While many evidence-based pathways have been introduced to drive quality improvements in cancer care, most of these do not include evidence about their affordability. The main aim of this study was to provide an estimation of the overall budget to cover all the needs of melanoma patients in Veneto Region, managed according to the clinical pathway defined by the Rete Oncologica Veneta. A second objective is to conduct a cost-consequence analysis, comparing two different treatments.
METHODS METHODS
A very detailed whole-disease model was developed describing the patient's pathway from diagnosis through the first year of follow-up. Each procedure involved in the model was associated with a likelihood measure and a cost. The model can be used to estimate the expected direct costs associated with melanoma.
RESULTS RESULTS
We can observe that 0 and I stage, despite accounting for a huge percentage of new melanoma cases are characterized by a small percentage of the total costs. Stage III can be considered as the most expensive stage accounting for 54% of the total costs with a 12% of patients. Finally, the stage IV patients, although very few accounts for almost the 7% of the total costs. Regarding the cost-consequence analysis, it was estimated that the therapies introduced in 2016 led to an approximately 14% increase in the total costs.
CONCLUSIONS CONCLUSIONS
Modeling a clinical pathway with a high level of detail enables to identify the main sources of spending. The consequent analysis can thus help policymakers to plan the future resources allocation.

Identifiants

pubmed: 30428652
pii: S0392-0488.18.06106-0
doi: 10.23736/S0392-0488.18.06106-0
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

764-771

Auteurs

Alessandra Buja (A)

Department of Cardiac, Thoracic and Vascular Sciences, University of Padua, Padua, Italy.

Gino Sartor (G)

Department of Cardiac, Thoracic and Vascular Sciences, University of Padua, Padua, Italy.

Manuela Scioni (M)

Department of Statistical Sciences, University of Padua, Padua, Italy - scioni@stat.unipd.it.

Giovanni Girardi (G)

School of Specialization in Hygiene, Preventive Medicine and Public Health, University of Padua, Padua, Italy.

Antonella Vecchiato (A)

Istituto Oncologico Veneto (IOV - IRCCS), Padua, Italy.

Mario Bolzan (M)

Department of Statistical Sciences, University of Padua, Padua, Italy.

Vincenzo Rebba (V)

Marco Fanno Department of Economics and Management, University of Padua, Padua, Italy.

Vanna Chiarion Sileni (V)

Istituto Oncologico Veneto (IOV - IRCCS), Padua, Italy.

Angelo Claudio Palozzo (AC)

Istituto Oncologico Veneto (IOV - IRCCS), Padua, Italy.

Maria Montesco (M)

Istituto Oncologico Veneto (IOV - IRCCS), Padua, Italy.

Paolo Del Fiore (P)

Istituto Oncologico Veneto (IOV - IRCCS), Padua, Italy.

Vincenzo Baldo (V)

Department of Cardiac, Thoracic and Vascular Sciences, University of Padua, Padua, Italy.

Carlo Riccardo Rossi (CR)

Istituto Oncologico Veneto (IOV - IRCCS), Padua, Italy.

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Classifications MeSH