Non-communicable diseases (NCDs) are the leading global cause of mortality and disability, with significant geographic disparities in care processes and outcomes. This study explores chronic disease management across three Italian regions—Lombardy, Sicily, and Tuscany—by analyzing administrative healthcare data from 2017–2018 for patient cohorts with diabetes, heart failure, and stroke. Age- and sex-standardized process indicators were evaluated at the health district level to assess care quality, with spatial patterns analyzed using Moran's I and Geographically Weighted Regression (GWR). Results revealed significant regional and intra-regional variability, particularly in stroke and heart failure care, which showed strong spatial autocorrelation and socioeconomic influences. Diabetes care displayed more uniform distribution, likely reflecting more standardized management practices. The study highlights the need for improved data standardization, equitable healthcare strategies, and enhanced system-level understanding to reduce regional inequalities. Findings align with the objectives of Italy’s National Recovery and Resilience Plan, emphasizing the importance of data-driven policy development for chronic disease management.

Allotta, A., Berta, P., Ferrante, M., Longhi, S., Pollina-Addario, S., Scondotto, S., et al. (2025). Assessing Regional Disparities in Chronic Disease Management in three Italian regions. In Statistics for Innovation I SIS 2025, Short Papers, Plenary, Specialized, and Solicited Sessions (pp.200-205). SPRINGER INTERNATIONAL PUBLISHING AG [10.1007/978-3-031-96736-8_34].

Assessing Regional Disparities in Chronic Disease Management in three Italian regions

Berta Paolo;Spinelli Daniele
2025

Abstract

Non-communicable diseases (NCDs) are the leading global cause of mortality and disability, with significant geographic disparities in care processes and outcomes. This study explores chronic disease management across three Italian regions—Lombardy, Sicily, and Tuscany—by analyzing administrative healthcare data from 2017–2018 for patient cohorts with diabetes, heart failure, and stroke. Age- and sex-standardized process indicators were evaluated at the health district level to assess care quality, with spatial patterns analyzed using Moran's I and Geographically Weighted Regression (GWR). Results revealed significant regional and intra-regional variability, particularly in stroke and heart failure care, which showed strong spatial autocorrelation and socioeconomic influences. Diabetes care displayed more uniform distribution, likely reflecting more standardized management practices. The study highlights the need for improved data standardization, equitable healthcare strategies, and enhanced system-level understanding to reduce regional inequalities. Findings align with the objectives of Italy’s National Recovery and Resilience Plan, emphasizing the importance of data-driven policy development for chronic disease management.
paper
Regional Disparities; Chronic Disease
English
SIS 2025 – Statistics for Innovation - June 16-18, 2025
2025
di Bella, E; Gioia, V; Lagazio, C; Zaccarin, S
Statistics for Innovation I SIS 2025, Short Papers, Plenary, Specialized, and Solicited Sessions
9783031967351
2025
200
205
reserved
Allotta, A., Berta, P., Ferrante, M., Longhi, S., Pollina-Addario, S., Scondotto, S., et al. (2025). Assessing Regional Disparities in Chronic Disease Management in three Italian regions. In Statistics for Innovation I SIS 2025, Short Papers, Plenary, Specialized, and Solicited Sessions (pp.200-205). SPRINGER INTERNATIONAL PUBLISHING AG [10.1007/978-3-031-96736-8_34].
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/10281/558650
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