BACKGROUND: The aim of this study was to compare the prevalence of angina pectoris (AP) using self-reported information and primary care databases. METHODS: A comparison between the prevalence of AP in 730,586 subjects from the Health Search Database (HSD) and 119,799 individuals from a Health Interview Survey (HIS) was performed. The age-specific prevalence was calculated by dividing the detected cases by the total number of individuals in each age group. The age-standardized prevalence was estimated by direct standardization performed using the Italian standard population. RESULTS: The HSD reported a higher crude prevalence of AP than the HIS, both in males (1374/100,000 vs 1006/100,000) and females (1449/100,000 vs 1007/100,000). In the HSD the age-specific prevalence was lower for patients aged <65 years, whilst higher estimates were reported for older patients. Age standardization slightly reduced the prevalence in both samples, although the HSD always reported higher estimates. CONCLUSIONS: Prescription data from general practice databases may be a valid, simple, and cost-effective method to evaluate and serially monitor the prevalence of AP.
BACKGROUND: The aim of this study was to compare the prevalence of angina pectoris (AP) using self-reported information and primary care databases. METHODS: A comparison between the prevalence of AP in 730,586 subjects from the Health Search Database (HSD) and 119,799 individuals from a Health Interview Survey (HIS) was performed. The age-specific prevalence was calculated by dividing the detected cases by the total number of individuals in each age group. The age-standardized prevalence was estimated by direct standardization performed using the Italian standard population. RESULTS: The HSD reported a higher crude prevalence of AP than the HIS, both in males (1374/100,000 vs 1006/100,000) and females (1449/100,000 vs 1007/100,000). In the HSD the age-specific prevalence was lower for patients aged <65 years, whilst higher estimates were reported for older patients. Age standardization slightly reduced the prevalence in both samples, although the HSD always reported higher estimates. CONCLUSIONS: Prescription data from general practice databases may be a valid, simple, and cost-effective method to evaluate and serially monitor the prevalence of AP.
Authors: Myriam Alexander; A Katrina Loomis; Johan van der Lei; Talita Duarte-Salles; Daniel Prieto-Alhambra; David Ansell; Alessandro Pasqua; Francesco Lapi; Peter Rijnbeek; Mees Mosseveld; Dawn M Waterworth; Stuart Kendrick; Naveed Sattar; William Alazawi Journal: BMC Med Date: 2019-05-20 Impact factor: 8.775
Authors: Rosa Gini; Martijn J Schuemie; Paolo Francesconi; Francesco Lapi; Iacopo Cricelli; Alessandro Pasqua; Pietro Gallina; Daniele Donato; Salvatore Brugaletta; Andrea Donatini; Alessandro Marini; Claudio Cricelli; Gianfranco Damiani; Mariadonata Bellentani; Johan van der Lei; Miriam C J M Sturkenboom; Niek S Klazinga Journal: PLoS One Date: 2014-05-09 Impact factor: 3.240
Authors: Gayan Perera; P R Rijnbeek; Myriam Alexander; David Ansell; Paul Avillach; Talita Duarte-Salles; Mark Forrest Gordon; Francesco Lapi; Miguel Angel Mayer; Alessandro Pasqua; Lars Pedersen; Johan van Der Lei; Pieter Jelle Visser; Robert Stewart Journal: BMJ Open Date: 2020-11-14 Impact factor: 2.692