title: Using registries in general practice to estimate countrywide morbidity in The Netherlands.
abstract: OBJECTIVE
  Examining the possibility of using data from registries in general practice in order to present morbidity figures concerning a broad range of major diseases for the Dutch population.
  
  
  METHODS
  Qualitative and quantitative analysis of registered diagnoses.
  
  
  METHODS
  Quantitative data from six registries were obtained. In addition, information about the registration process was obtained and discussed with representatives of the registries. Subjects for discussion were the general characteristics of the registries and disease-specific rules.
  
  
  RESULTS
  Some important differences exist in the characteristics of the registries and the disease-specific coding rules for computing incidence and prevalence. However, for most diseases the rules of two or more registries corresponded with each other, so that a selection of registries that measured the occurrence of a particular disease in a similar way could be made. Nevertheless, for some age categories rather large differences between registries were observed. The best estimates for the whole country were calculated as the average incidence and prevalence of the selected registries.
  
  
  CONCLUSIONS
  Data that were originally obtained during patient care can be made usable for public health policy purposes. To further improve the quality of data and to increase the usefulness of these data for public health policy purposes, more efforts are required.
authors.affiliation: National Institute for Public Health and the Environment, Bilthoven, The Netherlands. ronald.gijsen@rivm.nl
authors.forename: Ronald
authors.initials: R
authors.lastname: Gijsen
authors.forename: Marinus J J C
authors.initials: MJ
authors.lastname: Poos
mesh_terms: D005194:Family Practice / Q000706:statistics & numerical data*; D006291:Health Policy; D006801:Humans; D015994:Incidence; D009017:Morbidity; D009426:Netherlands / Q000453:epidemiology; D015995:Prevalence; D040442:Public Health Informatics / Q000592:standards*; D012042:Registries / Q000592:standards*; D012107:Research Design; D018571:Sentinel Surveillance