Bénédicte Vos, Laura Debouverie, Kris Doggen, Nicolas Delvaux, Bert Aertgeerts, Robrecht De Schreye, Bert Vaes
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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.</p><p><strong>Results: </strong>4773 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.</p><p><strong>Conclusion: </strong>The 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.</p>","PeriodicalId":54380,"journal":{"name":"European Journal of General Practice","volume":"30 1","pages":"2293699"},"PeriodicalIF":2.3000,"publicationDate":"2024-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10776082/pdf/","citationCount":"0","resultStr":"{\"title\":\"Monitoring COVID-19 in Belgian general practice: A tool for syndromic surveillance based on electronic health records.\",\"authors\":\"Bénédicte Vos, Laura Debouverie, Kris Doggen, Nicolas Delvaux, Bert Aertgeerts, Robrecht De Schreye, Bert Vaes\",\"doi\":\"10.1080/13814788.2023.2293699\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Background: </strong>COVID-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.</p><p><strong>Objectives: </strong>To present a COVID-19 syndromic surveillance tool in Belgian general practices.</p><p><strong>Methods: </strong>We 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.</p><p><strong>Results: </strong>4773 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.</p><p><strong>Conclusion: </strong>The 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. 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Monitoring COVID-19 in Belgian general practice: A tool for syndromic surveillance based on electronic health records.
Background: COVID-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.
Objectives: To present a COVID-19 syndromic surveillance tool in Belgian general practices.
Methods: We 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.
Results: 4773 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.
Conclusion: The 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.
期刊介绍:
The EJGP aims to:
foster scientific research in primary care medicine (family medicine, general practice) in Europe
stimulate education and debate, relevant for the development of primary care medicine in Europe.
Scope
The EJGP publishes original research papers, review articles and clinical case reports on all aspects of primary care medicine (family medicine, general practice), providing new knowledge on medical decision-making, healthcare delivery, medical education, and research methodology.
Areas covered include primary care epidemiology, prevention, diagnosis, pharmacotherapy, non-drug interventions, multi- and comorbidity, palliative care, shared decision making, inter-professional collaboration, quality and safety, training and teaching, and quantitative and qualitative research methods.