Development of a validated algorithm for the diagnosis of paediatric asthma in electronic medical records.

ABSTRACT: An accurate estimation of the prevalence of paediatric asthma in Alberta and elsewhere is hampered by uncertainty regarding disease definition and diagnosis. Electronic medical records (EMRs) provide a rich source of clinical data from primary-care practices that can be used in better understanding the occurrence of the disease. The Canadian Primary Care Sentinel Surveillance Network (CPCSSN) database includes cleaned data extracted from the EMRs of primary-care practitioners. The purpose of the study was to develop and validate a case definition of asthma in children 1-17 who consult family physicians, in order to provide primary-care estimates of childhood asthma in Alberta as accurately as possible. The validation involved the comparison of the application of a theoretical algorithm (to

SUBMITTER: Cave AJ 

PROVIDER: S-EPMC5122312 | biostudies-literature | 2016 Nov

REPOSITORIES: biostudies-literature