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Article Dans Une Revue Studies in Health Technology and Informatics Année : 2020

Evaluation of the Quality of French Hospital Data for Perinatal Algorithms

Résumé

The aim of our validation study was to assess the quality of hospital data for perinatal algorithms on a national level. In each hospital, we selected 150 discharge abstracts of delivery (after 22 weeks of gestation), in 2014, and their corresponding medical records. Overall, 23 hospitals were included and 3,246 discharge abstracts were studied. This first national validation study of several case-funding algorithms using various perinatal variables suggests that the French national hospital discharge abstracts database is an appropriate data source for epidemiological studies
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Origine : Publication financée par une institution
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Dates et versions

hal-02889988 , version 1 (12-10-2020)

Licence

Paternité - Pas d'utilisation commerciale

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Karine Goueslard, Jonathan Cottenet, Éric Benzenine, Pascale Tubert-Bitter, Catherine Quantin. Evaluation of the Quality of French Hospital Data for Perinatal Algorithms. Studies in Health Technology and Informatics, 2020, 270, pp.213-217. ⟨10.3233/SHTI200153⟩. ⟨hal-02889988⟩
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