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Measuring multimorbidity inequality across Italy through the multisource comorbidity score: A nationwide study

Authors :
Pietro Pugni
Enza Di Felice
Rossana De Palma
Donata Bellentani
Giovanna Romano
Stefania Del Zotto
Mario Braga
Liana Spazzafumo
Luca Merlino
Maria Grazia Marvulli
Federica Medici
Carlo Piccinni
Giuseppe Massaro
Teresa Di Fiandra
Lucia Bisceglia
Chiara Marinacci
Mirko Di Martino
Giovanni Corrao
Giuseppe Sechi
Angela De Feo
Antonio Lora
Andrea Di Lenarda
Mauro Agnello
Nello Martini
Matteo Corradin
Flavia Carle
Patrizia Vittori
Aldo P. Maggioni
Modesta Visca
Natalia Magliocchetti
Marianxhela Dajko
Lucia Lispi
Letizia Dondi
Francesco Bellomo
Sebastiano Pollina Addario
Silvia Arcà
Giuseppe Montagano
Danilo Fusco
Rinaldo Zanini
Paolo Francesconi
Marina Davoli
Adele Lallo
Carlo Alberto Scirè
Paola Pisanti
Elena Clagnan
Donatella Garau
Simona Carbone
Mimma Cosentino
Salvatore Scondotto
Laura Belotti
Loris Zanier
Giovanna Fantaci
Vito Petrarolo
Valeria Di Fabrizio
Francesco Avossa
Silvia Forni
Maria Simiele
E. Attolini
Roberta Chiandetti
Carla Ceccolini
Aldo Mariotto
Rosanna Mariniello
Federico Rea
Antonella Pedrini
Francesco Profili
Andrea Bucci
Anna Cantarutti
Maurizio Masullo
Velia Bruno
Vito Lepore
Corrao, G
Rea, F
Carle, F
Di Martino, M
De Palma, R
Francesconi, P
Lepore, V
Merlino, L
Scondotto, S
Garau, D
Spazzafumo, L
Montagano, G
Clagnan, E
Martini, N
Scire', C
Publication Year :
2020

Abstract

Background Multimorbidity is a growing concern for healthcare systems, with many countries experiencing demographic transition to older population profiles. A simple multisource comorbidity score (MCS) has been recently developed and validated. A very large real-world investigation was conducted with the aim of measuring inequalities in the MCS distribution across Italy. Methods Beneficiaries of the Italian National Health Service aged 50–85 years who in 2018 were resident in one of the 10 participant regions formed the study population (15.7 million of the 24.9 million overall resident in Italy). MCS was assigned to each beneficiary by categorizing the individual sum of the comorbid values (i.e. the weights corresponding to the comorbid conditions of which the individual suffered) into one of the six categories denoting a progressive worsening comorbidity status. MCS distributions in women and men across geographic partitions were compared. Results Compared with beneficiaries from northern Italy, those from centre and south showed worse comorbidity profile for both women and men. MCS median age (i.e. the age above which half of the beneficiaries suffered at least one comorbidity) ranged from 60 (centre and south) to 68 years (north) in women and from 63 (centre and south) to 68 years (north) in men. The percentage of comorbid population was lower than 50% for northern population, whereas it was around 60% for central and southern ones. Conclusion MCS allowed of capturing geographic variability of multimorbidity prevalence, thus showing up its value for addressing health policy in order to guide national health planning.

Details

Language :
English
Database :
OpenAIRE
Accession number :
edsair.doi.dedup.....8e543f3289c22ba16dd087cf4d4a0bac