Measuring multimorbidity inequality across Italy through the multisource comorbidity score: A nationwide study
| Autor: | 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 |
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| Přispěvatelé: | 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 |
| Jazyk: | angličtina |
| Rok vydání: | 2020 |
| Předmět: |
Male
Inequality multimorbidity media_common.quotation_subject Population Demographic transition Distribution (economics) State Medicine NO Prognostic Score 03 medical and health sciences 0302 clinical medicine inequalities medicine Prevalence Multimorbidity Humans score Administrative Database 030212 general & internal medicine education Health policy media_common education.field_of_study business.industry 030503 health policy & services Healthcare Public Health Environmental and Occupational Health Middle Aged medicine.disease Comorbidity comorbidity multimorbidity inequalities score comorbidity Geography Cross-Sectional Studies Italy Population study Female 0305 other medical science business Demography |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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