Concordance between the Clinical Diagnosis of Influenza in Primary Care and Epidemiological Surveillance Systems (PREVIGrip Study).

Autor:	Aguilar Martín C; Primary Care Intervention Evaluation Research Group (GAVINA Research Group), IDIAPJGol Terres de l'Ebre, 43500 Catalonia, Spain.; Terres de l'Ebre Research Support Unit, Foundation University Institute for Primary Health Care Research Jordi Gol i Gurina (IDIAPJGol), 43500 Catalonia, Spain.; Unitat d'Avaluació, Direcció d'Atenció Primària Terres de l'Ebre, Institut Català de la Salut, 43500 Catalonia, Spain., Dalmau Llorca MR; Primary Care Intervention Evaluation Research Group (GAVINA Research Group), IDIAPJGol Terres de l'Ebre, 43500 Catalonia, Spain.; Equip d'Atenció Primària Terres de l'Ebre, Institut Català de la Salut, 43500 Catalonia, Spain.; Campus Terres de l'Ebre, Universitat Rovira i Virgili, 43500 Catalonia, Spain., Castro Blanco E; Primary Care Intervention Evaluation Research Group (GAVINA Research Group), IDIAPJGol Terres de l'Ebre, 43500 Catalonia, Spain.; Campus Terres de l'Ebre, Universitat Rovira i Virgili, 43500 Catalonia, Spain., Carrasco-Querol N; Primary Care Intervention Evaluation Research Group (GAVINA Research Group), IDIAPJGol Terres de l'Ebre, 43500 Catalonia, Spain.; Terres de l'Ebre Research Support Unit, Foundation University Institute for Primary Health Care Research Jordi Gol i Gurina (IDIAPJGol), 43500 Catalonia, Spain.; Unitat de Recerca, Gerència Territorial Terres de l'Ebre, Institut Català de la Salut, 43500 Catalonia, Spain., Hernández Rojas Z; Primary Care Intervention Evaluation Research Group (GAVINA Research Group), IDIAPJGol Terres de l'Ebre, 43500 Catalonia, Spain.; Equip d'Atenció Primària Terres de l'Ebre, Institut Català de la Salut, 43500 Catalonia, Spain.; Campus Terres de l'Ebre, Universitat Rovira i Virgili, 43500 Catalonia, Spain., Forcadell Drago E; Primary Care Intervention Evaluation Research Group (GAVINA Research Group), IDIAPJGol Terres de l'Ebre, 43500 Catalonia, Spain.; Equip d'Atenció Primària Terres de l'Ebre, Institut Català de la Salut, 43500 Catalonia, Spain., Rodríguez Cumplido D; Primary Care Intervention Evaluation Research Group (GAVINA Research Group), IDIAPJGol Terres de l'Ebre, 43500 Catalonia, Spain.; Institut Català de la Salut, Hospital Universitari de Bellvitge, 08907 Catalonia, Spain., Gonçalves AQ; Primary Care Intervention Evaluation Research Group (GAVINA Research Group), IDIAPJGol Terres de l'Ebre, 43500 Catalonia, Spain.; Terres de l'Ebre Research Support Unit, Foundation University Institute for Primary Health Care Research Jordi Gol i Gurina (IDIAPJGol), 43500 Catalonia, Spain.; Unitat Docent de Medicina de Familia i Comunitària, Tortosa-Terres de l'Ebre, Institut Català de la Salut, 43500 Catalonia, Spain., Fernández-Sáez J; Primary Care Intervention Evaluation Research Group (GAVINA Research Group), IDIAPJGol Terres de l'Ebre, 43500 Catalonia, Spain.; Terres de l'Ebre Research Support Unit, Foundation University Institute for Primary Health Care Research Jordi Gol i Gurina (IDIAPJGol), 43500 Catalonia, Spain.; Campus Terres de l'Ebre, Universitat Rovira i Virgili, 43500 Catalonia, Spain.; Unitat de Recerca, Gerència Territorial Terres de l'Ebre, Institut Català de la Salut, 43500 Catalonia, Spain.
Jazyk:	angličtina
Zdroj:	International journal of environmental research and public health [Int J Environ Res Public Health] 2022 Jan 23; Vol. 19 (3). Date of Electronic Publication: 2022 Jan 23.
DOI:	10.3390/ijerph19031263
Abstrakt:	Introduction: Health authorities use different systems of influenza surveillance. Sentinel networks, which are recommended by the World Health Organization, provide information on weekly influenza incidence in a monitored population, based on laboratory-confirmed cases. In Catalonia there is a public website, DiagnostiCat, that publishes the number of weekly clinical diagnoses at the end of each week of disease registration, while the sentinel network publishes its reports later. The objective of this study was to determine whether there is concordance between the number of cases of clinical diagnoses and the number of confirmed cases of influenza, in order to evaluate the predictive potential of a clinical diagnosis-based system. Methods: Population-based ecological time series study in Catalonia. The period runs from the 2010-2011 to the 2018-2019 season. The concordance between the clinical diagnostic cases and the confirmed cases was evaluated. The degree of agreement and the concordance were analysed using Bland-Altman graphs and intraclass correlation coefficients. Results: There was greater concordance between the clinical diagnoses and the sum of the cases confirmed outside and within the sentinel network than between the diagnoses and the confirmed sentinel cases. The degree of agreement was higher when influenza rates were low. Conclusions: There is concordance between the clinical diagnosis and the confirmed cases of influenza. Registered clinical diagnostic cases could provide a good alternative to traditional surveillance, based on case confirmation. Cases of clinical diagnosis of influenza may have the potential to predict the onset of annual influenza epidemics.
Databáze:	MEDLINE
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