• Eur J Gen Pract · Dec 2024

    Observational Study

    Monitoring COVID-19 in Belgian general practice: A tool for syndromic surveillance based on electronic health records.

    • Bénédicte Vos, Laura Debouverie, Kris Doggen, Nicolas Delvaux, Bert Aertgeerts, Robrecht De Schreye, and Bert Vaes.
    • Health Services Research, Sciensano, Brussels, Belgium.
    • Eur J Gen Pract. 2024 Dec 1; 30 (1): 22936992293699.

    BackgroundCOVID-19 may initially manifest as flu-like symptoms. As such, general practitioners (GPs) will likely to play an important role in monitoring the pandemic through syndromic surveillance.ObjectivesTo present a COVID-19 syndromic surveillance tool in Belgian general practices.MethodsWe performed a nationwide observational prospective study in Belgian general practices. The surveillance tool extracted the daily entries of diagnostic codes for COVID-19 and associated conditions (suspected or confirmed COVID-19, acute respiratory infection and influenza-like illness) from electronic medical records. We calculated the 7-day rolling average for these diagnoses and compared them with data from two other Belgian population-based sources (laboratory-confirmed new COVID-19 cases and hospital admissions for COVID-19), using time series analysis. We also collected data from users and stakeholders about the syndromic surveillance tool and performed a thematic analysis.Results4773 out of 11,935 practising GPs in Belgium participated in the study. The curve of contacts for suspected COVID-19 followed a similar trend compared with the curves of the official data sources: laboratory-confirmed COVID-19 cases and hospital admissions but with a 10-day delay for the latter. Data were quickly available and useful for decision making, but some technical and methodological components can be improved, such as a greater standardisation between EMR software developers.ConclusionThe syndromic surveillance tool for COVID-19 in primary care provides rapidly available data useful in all phases of the COVID-19 pandemic to support data-driven decision-making. Potential enhancements were identified for a prospective surveillance tool.

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