This paper proposes a composite indicator for the classification of maternity units, which takes into account for the different dimensions of service delivery, as potential predictors of health outcomes. As a measure of outcome, infant readmissions is considered, being a proxy of morbidity. The results highlight that after controlling for risk factors of the newborn, and for the presence of neonatal intensive unit, infants born in lower level hospitals show readmission rates higher than infants born in higher level hospitals.

Il presente articolo propone un indicatore composito per la classificazione dei punti nascita che tenga conto delle diverse dimensioni coinvolte nella qualità deli servizio erogato, quali potenziali predittori di esiti di salute. Come misura di esito vengono presi in esame i re-ricoveri neonatali, quale spia di possibili complicanze. I risultati, controllando per la presenza di unità di terapia intensive neonatale ed altri fattori di rischio, mostrano tassi di riammissione più elevate in strutture di basso livello, sulla base della classificazione proposta

Ferrante, M., Fantaci, G., Parroco, A.M., Milito, A.M., Scondotto, S. (2017). Key-indicators for maternity hospitals and newborn readmission in Sicily. In Petruccim A, Verde R (a cura di), SIS 2017 Statistics and Data Science: new challenges, new generations. Proceedings of the Conference of the Italian Statistical Society (pp. 411-416). Firenze University Press.

Key-indicators for maternity hospitals and newborn readmission in Sicily

Ferrante, Mauro
;
Parroco, Anna Maria;Milito, Anna Maria;
2017-01-01

Abstract

This paper proposes a composite indicator for the classification of maternity units, which takes into account for the different dimensions of service delivery, as potential predictors of health outcomes. As a measure of outcome, infant readmissions is considered, being a proxy of morbidity. The results highlight that after controlling for risk factors of the newborn, and for the presence of neonatal intensive unit, infants born in lower level hospitals show readmission rates higher than infants born in higher level hospitals.
2017
978-88-6453-521-0
Ferrante, M., Fantaci, G., Parroco, A.M., Milito, A.M., Scondotto, S. (2017). Key-indicators for maternity hospitals and newborn readmission in Sicily. In Petruccim A, Verde R (a cura di), SIS 2017 Statistics and Data Science: new challenges, new generations. Proceedings of the Conference of the Italian Statistical Society (pp. 411-416). Firenze University Press.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/10447/247501
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