ArticleNPJ primary care respiratory medicine2016
Development of a validated algorithm for the diagnosis of paediatric asthma in electronic medical records.
Article in NPJ primary care respiratory medicine, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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Who cites it
10 citing papers in PubMed.
- A cluster randomized controlled trial of an electronic medical record-based pathway for pediatric asthma in primary care in Alberta.CMAJ : Canadian Medical Association journal = journal de l'Association medicale canadienne · 2025Trial
- Integrating asthma care guidelines into primary care electronic medical records: a review focused on Canadian knowledge translation tools.European respiratory review : an official journal of the European Respiratory Society · 2024Review
- Understanding the impact of COVID-19 on antibiotic use in Canadian primary care: a matched-cohort study using EMR data.Antimicrobial resistance and infection control · 2024Article
- Development and validation of a case definition for problematic menopause in primary care electronic medical records.BMC medical informatics and decision making · 2023Article
- Validation of a primary care electronic medical records case definition for eczema: retrospective cross-sectional study.Allergy, asthma, and clinical immunology : official journal of the Canadian Society of Allergy and Clinical Immunology · 2023Article
- Leveraging unstructured data to identify hereditary angioedema patients in electronic medical records.Allergy, asthma, and clinical immunology : official journal of the Canadian Society of Allergy and Clinical Immunology · 2021Article
- A data quality assessment to inform hypertension surveillance using primary care electronic medical record data from Alberta, Canada.BMC public health · 2021Article
- Electronic Medical Record-Based Case Phenotyping for the Charlson Conditions: Scoping Review.JMIR medical informatics · 2021Article
- Achieving quality primary care data: a description of the Canadian Primary Care Sentinel Surveillance Network data capture, extraction, and processing in Alberta.International journal of population data science · 2019Article
- Processing of Electronic Medical Records for Health Services Research in an Academic Medical Center: Methods and Validation.JMIR medical informatics · 2018Article
Corrections and comments
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Authors and funding
8 authors.
Funding
No grant is acknowledged in the PubMed record.
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 identify patients with asthma) to a physician review of records included in the CPCSSN database (to confirm an accurate diagnosis). The comparison yielded 87.4% sensitivity, 98.6% specificity and a positive and negative predictive value of 91.2% and 97.9%, respectively, in the age group 1-17 years. The algorithm was also run for ages 3-17 and 6-17 years, and was found to have comparable statistical values. Overall, the case definition and algorithm yielded strong sensitivity and specificity metrics and was found valid for use in research in CPCSSN primary-care practices. The use of the validated asthma algorithm may improve insight into the prevalence, diagnosis, and management of paediatric asthma in Alberta and Canada.
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