Elisa Gil Montalbán1, Honorato Ortiz Marrón2, Dulce López-Gay Lucio-Villegas2, Belén Zorrilla Torrás2, Francisco Arrieta Blanco3, Pedro Nogales Aguado4. 1. Subdirección de Promoción de la Salud y Prevención, Consejería de Sanidad, Madrid, España. Electronic address: elisa.gil@salud.madrid.org. 2. Subdirección de Promoción de la Salud y Prevención, Consejería de Sanidad, Madrid, España. 3. Servicio de Endocrinología y Nutrición, Hospital Universitario Ramón y Cajal, Madrid, España. 4. Centro de Salud Las Águilas, Servicio Madrileño de Salud, Madrid, España.
Abstract
OBJECTIVE: To assess the validity and concordance of diabetes data in the electronic health records of primary care (Madrid-PC) by comparing with those from the PREDIMERC study. METHODS: The sensitivity, specificity, positive predictive value, negative predictive value and kappa index of diabetes cases recorded in the health records of Madrid-PC were calculated by using data from PREDIMERC as the gold standard. The prevalence of diabetes was also determined according to each data source. RESULTS: The sensitivity of diabetes recorded in Madrid-PC was 74%, the specificity was 98.8%, the positive predictive value was 87.9%, the negative predictive value was 97.3%, and the kappa index was 0.78. The prevalence of diabetes recorded in Madrid-PC was 6.7% versus 8.1% by PREDIMERC, where known diabetes was 6.3%. CONCLUSIONS: The electronic health records of primary care are a valid source for epidemiological surveillance of diabetes in Madrid.
OBJECTIVE: To assess the validity and concordance of diabetes data in the electronic health records of primary care (Madrid-PC) by comparing with those from the PREDIMERC study. METHODS: The sensitivity, specificity, positive predictive value, negative predictive value and kappa index of diabetes cases recorded in the health records of Madrid-PC were calculated by using data from PREDIMERC as the gold standard. The prevalence of diabetes was also determined according to each data source. RESULTS: The sensitivity of diabetes recorded in Madrid-PC was 74%, the specificity was 98.8%, the positive predictive value was 87.9%, the negative predictive value was 97.3%, and the kappa index was 0.78. The prevalence of diabetes recorded in Madrid-PC was 6.7% versus 8.1% by PREDIMERC, where known diabetes was 6.3%. CONCLUSIONS: The electronic health records of primary care are a valid source for epidemiological surveillance of diabetes in Madrid.
Keywords:
Diabetes mellitus; Electronic health records; Epidemiology; Epidemiología; Historia clínica electrónica; Public health surveillance; Sensibilidad y especificidad; Sensitivity and specificity; Vigilancia epidemiológica
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