Healthcare utilization data are increasingly used for chronic disease surveillance. Nevertheless, no standard criteria for estimating prevalence of high-impact diseases, such as chronic obstructive pulmonary disease (COPD) and asthma, are available. In this study an algorithm for recognizing COPD/asthma cases from HCU data is developed and implemented in the HCU databases of the Italian Lombardy Region (about 10 million residents). The impact of diagnostic misclassification for reliably estimating prevalence was also assessed.

Can healthcare utilization data reliably capture cases of chronic respiratory diseases? a cross-sectional investigation in Italy

DE MARCO, Roberto;
2017-01-01

Abstract

Healthcare utilization data are increasingly used for chronic disease surveillance. Nevertheless, no standard criteria for estimating prevalence of high-impact diseases, such as chronic obstructive pulmonary disease (COPD) and asthma, are available. In this study an algorithm for recognizing COPD/asthma cases from HCU data is developed and implemented in the HCU databases of the Italian Lombardy Region (about 10 million residents). The impact of diagnostic misclassification for reliably estimating prevalence was also assessed.
Algorithms; Asthma; Chronic obstructive pulmonary disease; Healthcare utilization database; Prevalence
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11562/957472
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