SciELO - Scientific Electronic Library Online

 
vol.89 número5Elaboración de criterios e indicadores para desarrollar y evaluar programas de envejecimiento saludable en los lugares de trabajoHábitos de vida y estilos de cuidado de los progenitores relacionados con la obesidad infantil: comparación de una población española con poblaciones de países del Norte de Europa: ENERGY-Project índice de autoresíndice de materiabúsqueda de artículos
Home Pagelista alfabética de revistas  

Servicios Personalizados

Revista

Articulo

Indicadores

Links relacionados

  • En proceso de indezaciónCitado por Google
  • No hay articulos similaresSimilares en SciELO
  • En proceso de indezaciónSimilares en Google

Compartir


Revista Española de Salud Pública

versión On-line ISSN 2173-9110versión impresa ISSN 1135-5727

Resumen

ONIEVA-GARCIA, María Ángeles et al. Contribution of Electronic Health Record in Surveillance of Notifiable Diseases. Rev. Esp. Salud Publica [online]. 2015, vol.89, n.5, pp.515-522. ISSN 2173-9110.  http://dx.doi.org/10.4321/S1135-57272015000500008.

Background: In 2009 a system was introduced for the automatic import (AI) of cases with suspected notifiable diseases (ND) from electronic medical record (EMR) to RedAlerta, an application for surveillance in Andalusia. At present, the contribution of this system to classical active statement has not been determined enough. The main objective of this study is to evaluate the usefulness of IA in the province of Granada, between 2009 and 2014. Methods: During the study period (2009-2014), an epidemiologist assessed whether AI met declaration criteria or not. We calculate the contribution of AI to RedAlerta and the percentage of validation of AI, estimating 95% CI. Results: The contribution of AI was 17.3% (95% CI 16.1 to 18.5); and type of statement, 5.2% (95% CI 4.1 to 6.5) for urgent and 24.4% (95% CI 22.7 to 26.2) for ordinary. The contribution was higher (more than 45%) in Lyme disease, congenital hypothyroidism, genital herpes, hepatitis C and other viral hepatitis. 30% (95% CI 28.1 to 32) of AI were validated; 39.9% (95% CI 33 to 47.2) urgent and 29.1% (95% CI 27.2 to 31.2%) ordinary. The percentage of validation was higher than 45% (between 47.5 and 100%) in vaccine-preventable diseases, sexually transmitted infections and low incidence. Conclusions: Although not replace manual reporting and requires verification, the AI system is useful and increases the completeness of the epidemiological surveillance system.

Palabras clave : Notifiable diseases; Epidemiological monitoring; Information systems; Validation.

        · resumen en Español     · texto en Español     · Español ( pdf )

 

Creative Commons License Todo el contenido de esta revista, excepto dónde está identificado, está bajo una Licencia Creative Commons