4.5 Article

Burden of Parkinson's disease in Sicily: a health administrative database study

Journal

NEUROLOGICAL SCIENCES
Volume 43, Issue 2, Pages 1043-1046

Publisher

SPRINGER-VERLAG ITALIA SRL
DOI: 10.1007/s10072-021-05460-3

Keywords

Prevalence; Parkinson's disease; Epidemiology; Italy

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The study aimed to evaluate the prevalence of Parkinson's disease in the Sicily region using administrative health data. With a prevalence of 488/100,000 inhabitants, higher rates were observed in men and in the 85-89 age class. The findings suggest that using administrative databases is a feasible strategy to assess the burden of PD.
Introduction Prevalence of Parkinson's disease (PD) increases with the advanced ages, representing a relevant health burden. Accurate prevalence estimates are of fundamental need in order to adjust the supply of health services for these patients. The availability of administrative health data from the National Health System provides a useful resource to assess the burden of diseases. Our aim was to evaluate the prevalence of PD through the use of administrative data in the Sicily region. Methods We have identified all the subjects affected by PD in Sicily in 2017 by gathering data from three regional health administrative databases: the hospital discharge records, the medical exemption databases, and the pharmacological prescription database. Prevalence rates and 95% confidence intervals (CI) have been calculated across 5-year age classes. Results PD patients identified through database searching were 24,674, giving a prevalence of 488/100,000 (95%CI 481.9494.1) inhabitants. Prevalence was higher among men (514.5/100,000; 95%CI 505.6-523.6) and reached a peak in the 85-89 age class (3203.8/100,000; 95%CI 3095.2-3315.1). Discussion Our prevalence estimates of PD were higher when compared to previous epidemiological surveys conducted in Sicily. These findings are, however, comparable to other studies conducted in Italy that identified cases through administrative databases. Using health databases is a feasible strategy to assess the burden of PD.

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