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

Author:

Corrao Giovanni12ORCID,Rea Federico12ORCID,Carle Flavia13,Di Martino Mirko4,De Palma Rossana5,Francesconi Paolo6,Lepore Vito7ORCID,Merlino Luca18,Scondotto Salvatore9,Garau Donatella110,Spazzafumo Liana111,Montagano Giuseppe12,Clagnan Elena13,Martini Nello14,Bucci Andrea,Carle Flavia,Dajko Marianxhela,Arcà Silvia,Bellentani Donata,Bruno Velia,Carbone Simona,Ceccolini Carla,De Feo Angela,Lispi Lucia,Mariniello Rosanna,Masullo Maurizio,Medici Federica,Pisanti Paola,Visca Modesta,Zanini Rinaldo,Di Fiandra Teresa,Magliocchetti Natalia,Romano Giovanna,Cantarutti Anna,Corrao Giovanni,Pugni Pietro,Rea Federico,Davoli Marina,Fusco Danilo,Di Martino Mirko,Lallo Adele,Marinacci Chiara,Maggioni Aldo,Vittori Patrizia,Belotti Laura,De Palma Rossana,Di Felice Enza,Chiandetti Roberta,Clagnan Elena,Del Zotto Stefania,Di Lenarda Andrea,Mariotto Aldo,Zanier Loris,Agnello Mauro,Lora Antonio,Merlino Luca,Scirè Carlo Alberto,Sechi Giuseppe,Spazzafumo Liana,Massaro Giuseppe,Simiele Maria,Cosentino Mimma,Marvulli Maria Grazia,Attolini Ettore,Bisceglia Lucia,Lepore Vito,Petrarolo Vito,Dondi Letizia,Martini Nello,Pedrini Antonella,Piccinni Carlo,Fantaci Giovanna,Addario Sebastiano Pollina,Scondotto Salvatore,Bellomo Francesco,Braga Mario,Di Fabrizio Valeria,Forni Silvia,Francesconi Paolo,Profili Francesco,Avossa Francesco,Corradin Matteo,Bucci Andrea,Carle Flavia,Dajko Marianxhela,Arcà Silvia,Bellentani Donata,Bruno Velia,Carbone Simona,Ceccolini Carla,De Feo Angela,Lispi Lucia,Mariniello Rosanna,Masullo Maurizio,Medici Federica,Pisanti Paola,Visca Modesta,Zanini Rinaldo,Di Fiandra Teresa,Magliocchetti Natalia,Romano Giovanna,Cantarutti Anna,Corrao Giovanni,Pugni Pietro,Rea Federico,Davoli Marina,Fusco Danilo,Di Martino Mirko,Lallo Adele,Marinacci Chiara,Maggioni Aldo,Vittori Patrizia,Belotti Laura,De Palma Rossana,Di Felice Enza,Chiandetti Roberta,Clagnan Elena,Del Zotto Stefania,Di Lenarda Andrea,Mariotto Aldo,Zanier Loris,Agnello Mauro,Lora Antonio,Merlino Luca,Scirè Carlo Alberto,Sechi Giuseppe,Spazzafumo Liana,Massaro Giuseppe,Simiele Maria,Cosentino Mimma,Marvulli Maria Grazia,Attolini Ettore,Bisceglia Lucia,Lepore Vito,Petrarolo Vito,Dondi Letizia,Martini Nello,Pedrini Antonella,Piccinni Carlo,Fantaci Giovanna,Addario Sebastiano Pollina,Scondotto Salvatore,Bellomo Francesco,Braga Mario,Di Fabrizio Valeria,Forni Silvia,Francesconi Paolo,Profili Francesco,Avossa Francesco,Corradin Matteo,

Affiliation:

1. Department of Statistics and Quantitative Methods, National Centre for Healthcare Research and Pharmacoepidemiology, University of Milano-Bicocca, Milan, Italy

2. Unit of Biostatistics, Epidemiology and Public Health, Department of Statistics and Quantitative Methods, University of Milano-Bicocca, Milan, Italy

3. Center of Epidemiology and Biostatistics, Polytechnic University of Marche, Ancona, Italy

4. Department of Epidemiology, Lazio Regional Health Service, Rome, Italy

5. Authority for Healthcare and Welfare, Emilia Romagna Regional Health Service, Bologna, Italy

6. Regional Health Agency of Tuscany (Agenzia regionale di sanità), Florence, Italy

7. Regional Health Agency of Puglia (Agenzia regionale socio-sanitaria), Bari, Italy

8. Epidemiologic Observatory, Lombardy Regional Health Service, Milan, Italy

9. Epidemiologic Observatory, Sicily Regional Health Service, Palermo, Italy

10. Regional Councillorship of Health ‘Regione Autonoma della Sardegna’, Cagliari, Italy

11. Biostatistics Centre, INRCA-IRCCS National Institute, Ancona, Italy

12. Basilicata Regional Health Service, Potenza, Italy

13. Regional Health Agency of Friuli-Venezia-Giulia (Azienda Regionale di Coordinamento per la Salute), Udine, Italy

14. Research and Health Foundation (Fondazione ReS-Ricerca e Salute), Bologna, Italy

Abstract

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.

Funder

Italian Ministry of Health

Italian Ministry of the Education, University and Research

Fondo d’Ateneo per la Ricerca

The Italian Ministry of Health and that of Education, University and Research

Publisher

Oxford University Press (OUP)

Subject

Public Health, Environmental and Occupational Health

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