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1. The score of integrated disease surveillance and response adequacy (SIA): a pragmatic score for comparing weekly reported diseases based on a systematic review

Author

Bien-Aimé Makasa Mandja, Didier Bompangue, Pascal Handschumacher, Jean-Paul Gonzalez, Gérard Salem, Jean-Jacques Muyembe, and Frédéric Mauny

Subjects
Adequacy score, Democratic Republic of Congo, Infectious diseases, Integrated disease surveillance and response, Reported data, Public aspects of medicine, RA1-1270
Abstract

Abstract Background The Integrated Disease Surveillance and Response (IDSR) strategy implemented by the World Health Organization (WHO) in Africa has produced a large amount of data on participating countries, and in particular on the Democratic Republic of Congo (DRC). These data are increasingly considered as unevaluable and, therefore, as requiring a rigorous process of validation before they can be used for research or public health purposes. The aim of this study was to propose a method to assess the level of adequacy of IDSR morbidity data in reflecting actual morbidity. Methods A systematic search of English- and French-language articles was performed in Scopus, Medline, Science Direct, Springer Link, Cochrane, Cairn, Persée, and Erudit databases. Other types of documents were identified through manual searches. Selected articles focused on the determinants of the discrepancies (differences) between reported morbidity and actual morbidity. An adequacy score was constructed using some of the identified determinants. This score was applied to the 15 weekly reported diseases monitored by IDSR surveillance in the DRC. A classification was established using the Jenks method and a sensitivity analysis was performed. Twenty-three classes of determinants were identified in 35 IDSR technical guides and reports of outbreak investigations and in 71 out of 2254 researched articles. For each of the 15 weekly reported diseases, the SIA was composed of 12 items grouped in 6 dimensions. Results The SIA classified the 15 weekly reported diseases into 3 categories or types: high score or good adequacy (value > = 14), moderate score or fair adequacy (value > = 8 and

Published
2019
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2. The score of integrated disease surveillance and response adequacy (SIA): a pragmatic score for comparing weekly reported diseases based on a systematic review

Author

Jean-Paul Gonzalez, Didier Bompangue, Bien-Aimé Makasa Mandja, Jean-Jacques Muyembe, Pascal Handschumacher, Frédéric Mauny, Gérard Salem, Service de Microbiologie [Kinshasa, République Démocratique du Congo], Faculté de Médecine [Kinshasa, République Démocratique du Congo], Université Libre de Kinshasa (ULK)-Université Libre de Kinshasa (ULK), Laboratoire Chrono-environnement - CNRS - UBFC (UMR 6249) (LCE), Centre National de la Recherche Scientifique (CNRS)-Université de Franche-Comté (UFC), Université Bourgogne Franche-Comté [COMUE] (UBFC)-Université Bourgogne Franche-Comté [COMUE] (UBFC), Sciences Economiques et Sociales de la Santé & Traitement de l'Information Médicale (SESSTIM - U1252 INSERM - Aix Marseille Univ - UMR 259 IRD), Institut de Recherche pour le Développement (IRD)-Aix Marseille Université (AMU)-Institut National de la Santé et de la Recherche Médicale (INSERM), Department of Microbiology and Immunology [Washington DC, États-Unis], Division of Biomedical Graduate Research Organization [Washington DC, États-Unis], Georgetown University School of Medicine [Washington DC, États-Unis]-Georgetown University School of Medicine [Washington DC, États-Unis], Université Paris Nanterre (UPN), Laboratoire Dynamiques Sociales et Recomposition des Espaces (LADYSS), Université Paris 1 Panthéon-Sorbonne (UP1)-Université Paris 8 Vincennes-Saint-Denis (UP8)-Université Paris Nanterre (UPN)-Université Paris Diderot - Paris 7 (UPD7)-Centre National de la Recherche Scientifique (CNRS), Institut National de Recherche Biomédicale [Kinshasa] (INRB), Centre d'Investigation Clinique de Besançon (Inserm CIC 1431), Université de Franche-Comté (UFC), Université Bourgogne Franche-Comté [COMUE] (UBFC)-Université Bourgogne Franche-Comté [COMUE] (UBFC)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre Hospitalier Régional Universitaire de Besançon (CHRU Besançon)-Etablissement français du sang [Bourgogne-Franche-Comté] (EFS [Bourgogne-Franche-Comté]), The project was funded by the PICS CNRS France 2015 with number System: 263320., Bodescot, Myriam, Laboratoire Chrono-environnement (UMR 6249) (LCE), Centre Hospitalier Régional Universitaire de Besançon (CHRU Besançon)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Etablissement français du sang [Bourgogne-Franche-Comté] (EFS [Bourgogne-Franche-Comté])-Université de Franche-Comté (UFC), and Centre Hospitalier Régional Universitaire de Besançon (CHRU Besançon)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Etablissement français du sang [Bourgogne-Franche-Comté] (EFS BFC)-Université de Franche-Comté (UFC)

Subjects
medicine.medical_specialty, MEDLINE, Scopus, 030209 endocrinology & metabolism, Context (language use), Disease Outbreaks, 03 medical and health sciences, 0302 clinical medicine, [SDV.MHEP.MI]Life Sciences [q-bio]/Human health and pathology/Infectious diseases, Environmental health, Epidemiology, medicine, Humans, 030212 general & internal medicine, Integrated disease surveillance and response, Disease surveillance, business.industry, Public health, lcsh:Public aspects of medicine, Public Health, Environmental and Occupational Health, lcsh:RA1-1270, Democratic Republic of Congo, Reported data, 3. Good health, Adequacy score, Systematic review, Congo, Research Design, [SDV.SPEE] Life Sciences [q-bio]/Santé publique et épidémiologie, Population Surveillance, Africa, [SDV.MHEP.MI] Life Sciences [q-bio]/Human health and pathology/Infectious diseases, Infectious diseases, [SDV.SPEE]Life Sciences [q-bio]/Santé publique et épidémiologie, Public Health, Biostatistics, business, Research Article
Abstract

Background The Integrated Disease Surveillance and Response (IDSR) strategy implemented by the World Health Organization (WHO) in Africa has produced a large amount of data on participating countries, and in particular on the Democratic Republic of Congo (DRC). These data are increasingly considered as unevaluable and, therefore, as requiring a rigorous process of validation before they can be used for research or public health purposes. The aim of this study was to propose a method to assess the level of adequacy of IDSR morbidity data in reflecting actual morbidity. Methods A systematic search of English- and French-language articles was performed in Scopus, Medline, Science Direct, Springer Link, Cochrane, Cairn, Persée, and Erudit databases. Other types of documents were identified through manual searches. Selected articles focused on the determinants of the discrepancies (differences) between reported morbidity and actual morbidity. An adequacy score was constructed using some of the identified determinants. This score was applied to the 15 weekly reported diseases monitored by IDSR surveillance in the DRC. A classification was established using the Jenks method and a sensitivity analysis was performed. Twenty-three classes of determinants were identified in 35 IDSR technical guides and reports of outbreak investigations and in 71 out of 2254 researched articles. For each of the 15 weekly reported diseases, the SIA was composed of 12 items grouped in 6 dimensions. Results The SIA classified the 15 weekly reported diseases into 3 categories or types: high score or good adequacy (value > = 14), moderate score or fair adequacy (value > = 8 and

Published
2019
Full Text
View/download PDF

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