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Accuracy of congenital anomaly coding in live birth children recorded in European health care databases, a EUROlinkCAT study.
Bakker, Marian K; Loane, Maria; Garne, Ester; Ballardini, Elisa; Cavero-Carbonell, Clara; García, Laura; Gissler, Mika; Given, Joanne; Heino, Anna; Jamry-Dziurla, Anna; Jordan, Sue; Urhoj, Stine Kjaer; Latos-Bielenska, Anna; Limb, Elisabeth; Lutke, Renee; Neville, Amanda J; Pierini, Anna; Santoro, Michele; Scanlon, Ieuan; Tan, Joachim; Wellesley, Diana; de Walle, Hermien E K; Morris, Joan K.
Afiliação
  • Bakker MK; Department of Genetics, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands. m.k.bakker@umcg.nl.
  • Loane M; Institute for Nursing and Health Research, Ulster University, Northern Ireland, Newtownabbey, UK.
  • Garne E; Department of Paediatrics and Adolescent Medicine, Lillebaelt Hospital, University Hospital of Southern Denmark, Kolding, Denmark.
  • Ballardini E; Neonatal Intensive Care Unit, Paediatric Section, IMER Registry (Emilia Romagna Registry of Birth Defects), Department of Medical Sciences, University of Ferrara, Ferrara, Italy.
  • Cavero-Carbonell C; Rare Diseases Research Unit, Foundation for the Promotion of Health and Biomedical Research in the Valencian Region, Valencia, Spain.
  • García L; Rare Diseases Research Unit, Foundation for the Promotion of Health and Biomedical Research in the Valencian Region, Valencia, Spain.
  • Gissler M; Finnish Institute for Health and Welfare (THL), Helsinki, Finland.
  • Given J; Institute for Nursing and Health Research, Ulster University, Northern Ireland, Newtownabbey, UK.
  • Heino A; Finnish Institute for Health and Welfare (THL), Helsinki, Finland.
  • Jamry-Dziurla A; Polish Registry of Congenital Malformations, Chair and Department of Medical Genetics, University of Medical Sciences, Poznan, Poland.
  • Jordan S; Faculty of Medicine, Health and Life Science, Swansea University, Swansea, UK.
  • Urhoj SK; Department of Paediatrics and Adolescent Medicine, Lillebaelt Hospital, University Hospital of Southern Denmark, Kolding, Denmark.
  • Latos-Bielenska A; Section of Epidemiology, Department of Public Health, University of Copenhagen, Copenhagen, Denmark.
  • Limb E; Polish Registry of Congenital Malformations, Chair and Department of Medical Genetics, University of Medical Sciences, Poznan, Poland.
  • Lutke R; Population Health Research Institute, St George's University of London, London, UK.
  • Neville AJ; Department of Genetics, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands.
  • Pierini A; IMER Registry, Centre for Epidemiology and Clinical Research, University of Ferrara and Azienda, Ospedaliero Universitario Di Ferrara, Ferrara, Italy.
  • Santoro M; Unit of Epidemiology of Rare Diseases and Congenital Anomalies, Institute of Clinical Physiology, National Research Council, Pisa, Italy.
  • Scanlon I; Unit of Epidemiology of Rare Diseases and Congenital Anomalies, Institute of Clinical Physiology, National Research Council, Pisa, Italy.
  • Tan J; Faculty of Medicine, Health and Life Science, Swansea University, Swansea, UK.
  • Wellesley D; Population Health Research Institute, St George's University of London, London, UK.
  • de Walle HEK; University of Southampton and Wessex Clinical Genetics Service, Princess Anne Hospital, Southampton, SO16 5YA, UK.
  • Morris JK; Department of Genetics, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands.
Eur J Epidemiol ; 38(3): 325-334, 2023 Mar.
Article em En | MEDLINE | ID: mdl-36807730
Electronic health care databases are increasingly being used to investigate the epidemiology of congenital anomalies (CAs) although there are concerns about their accuracy. The EUROlinkCAT project linked data from eleven EUROCAT registries to electronic hospital databases. The coding of CAs in electronic hospital databases was compared to the (gold standard) codes in the EUROCAT registries. For birth years 2010-2014 all linked live birth CA cases and all children identified in the hospital databases with a CA code were analysed. Registries calculated sensitivity and Positive Predictive Value (PPV) for 17 selected CAs. Pooled estimates for sensitivity and PPV were then calculated for each anomaly using random effects meta-analyses. Most registries linked more than 85% of their cases to hospital data. Gastroschisis, cleft lip with or without cleft palate and Down syndrome were recorded in hospital databases with high accuracy (sensitivity and PPV ≥ 85%). Hypoplastic left heart syndrome, spina bifida, Hirschsprung's disease, omphalocele and cleft palate showed high sensitivity (≥ 85%), but low or heterogeneous PPV, indicating that hospital data was complete but may contain false positives. The remaining anomaly subgroups in our study, showed low or heterogeneous sensitivity and PPV, indicating that the information in the hospital database was incomplete and of variable validity. Electronic health care databases cannot replace CA registries, although they can be used as an additional ascertainment source for CA registries. CA registries are still the most appropriate data source to study the epidemiology of CAs.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Anormalidades Congênitas / Fenda Labial / Fissura Palatina Tipo de estudo: Prognostic_studies / Systematic_reviews Limite: Child / Female / Humans / Pregnancy Idioma: En Ano de publicação: 2023 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Anormalidades Congênitas / Fenda Labial / Fissura Palatina Tipo de estudo: Prognostic_studies / Systematic_reviews Limite: Child / Female / Humans / Pregnancy Idioma: En Ano de publicação: 2023 Tipo de documento: Article