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Burden of Diabetes Mellitus Estimated with a Longitudinal Population-Based Study Using Administrative Databases

Author

Listed:
  • Luciana Scalone
  • Giancarlo Cesana
  • Gianluca Furneri
  • Roberta Ciampichini
  • Paolo Beck-Peccoz
  • Virginio Chiodini
  • Silvia Mangioni
  • Emanuela Orsi
  • Carla Fornari
  • Lorenzo Giovanni Mantovani

Abstract

Objective: To assess the epidemiologic and economic burden of diabetes mellitus (DM) from a longitudinal population-based study. Research Design and Methods: Lombardy Region includes 9.9 million individuals. Its DM population was identified through a data warehouse (DENALI), which matches with a probabilistic linkage demographic, clinical and economic data of different Healthcare Administrative databases. All individuals, who, during the year 2000 had an hospital discharge with a IDC-9 CM code 250.XX, and/or two consecutive prescriptions of drugs for diabetes (ATC code A10XXXX) within one year, and/or an exemption from co-payment healthcare costs specific for DM, were selected and followed up to 9 years. We calculated prevalence, mortality and healthcare costs (hospitalizations, drugs and outpatient examinations/visits) from the National Health Service’s perspective. Results: We identified 312,223 eligible subjects. The study population (51% male) had a mean age of 66 (from 0.03 to 105.12) years at the index date. Prevalence ranged from 0.4% among subjects aged ≤45 years to 10.1% among those >85 years old. Overall 43.4 deaths per 1,000 patients per year were estimated, significantly (p

Suggested Citation

  • Luciana Scalone & Giancarlo Cesana & Gianluca Furneri & Roberta Ciampichini & Paolo Beck-Peccoz & Virginio Chiodini & Silvia Mangioni & Emanuela Orsi & Carla Fornari & Lorenzo Giovanni Mantovani, 2014. "Burden of Diabetes Mellitus Estimated with a Longitudinal Population-Based Study Using Administrative Databases," PLOS ONE, Public Library of Science, vol. 9(12), pages 1-11, December.
    • Handle: RePEc:plo:pone00:0113741
    DOI: 10.1371/journal.pone.0113741
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    Cited by:

    1. Elisabetta Listorti & Aleksandra Torbica & Silvano G. Cella & Gianfrancesco Fiorini & Giovanni Corrao & Matteo Franchi, 2022. "Healthcare Services for Undocumented Migrants: Organisation and Costs from the Italian NHS Perspective," IJERPH, MDPI, vol. 19(24), pages 1-10, December.
    2. Fiorella Pia Salvatore & Alessia Spada & Francesca Fortunato & Demetris Vrontis & Mariantonietta Fiore, 2021. "Identification of Health Expenditures Determinants: A Model to Manage the Economic Burden of Cardiovascular Disease," IJERPH, MDPI, vol. 18(9), pages 1-15, April.
    3. Maria Teresa Greco & Antonio Giampiero Russo, 2017. "Valutazione del modello CREG utilizzato dalla ATS della Citt? Metropolitana di Milano per la gestione delle malattie croniche nella medicina generale," MECOSAN, FrancoAngeli Editore, vol. 2017(101), pages 31-50.

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