An Activity-Based Costing model applied to the management process of patients with migraine at IRCCS Mondino Foundation

Autor: Luca Degli Esposti, Alessandro Tabarroni, Valentina Perrone, Luisa Gervasio, Alberto Pinelli, Grazia Sances
Jazyk: English<br />Italian
Rok vydání: 2024
Předmět:
Zdroj: AboutOpen, Vol 11, Iss 1 (2024)
Druh dokumentu: article
ISSN: 2465-2628
DOI: 10.33393/ao.2024.3096
Popis: Background and aim: The ageing of the general population, with the increase in chronic diseases, poses the need for using technological innovation to face the growing healthcare needs. The present analysis applied the Activity-Based Costing tool in migraine patients followed at the IRCCS Mondino of Pavia to formalize and quantify the costs of the whole patient’s management process and to estimate the overall economic burden of migraine from the perspective of the National Health Service (NHS). Methods: A two-stage analysis was conducted. The first stage aimed at drawing patient’s pathway, defining all the possible activities and actors involved in the healthcare delivery and treatment for migraine at the IRCCS during year 2022. The second phase was the development of a model to estimate the costs of the entire process by pricing the individual activities. Results: The described model yielded an estimated total annual cost for the overall management of migraine of € 1,222,392, corresponding to a direct cost for a therapy of approximately 6 months per single patient of € 814. The most impactive items on the estimated annual expenditures were hospitalizations, followed by diagnostic examinations after follow-up visits and drugs dispensed by Hospital Pharmacy for home-administration (monoclonal antibodies). Conclusions: This analysis allowed detailing the single activities and resources used in migraine patient’s pathway and then estimating the direct costs sustained by the NHS. The model could be translated to other diseases for optimizing the diagnostic/therapeutic and economic management of assisted patients and improving healthcare resource allocation.
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