C Quantin1, J Cottenet2, A Vuagnat2, C Prunet3, M-C Mouquet4, J Fresson5, B Blondel3. 1. Département d'information médicale, service de biostatistique et informatique médicale, CHU de Dijon, BP 77908, 21079 Dijon , France; Inserm U866, université de Bourgogne, 21000 Dijon, France. Electronic address: catherine.quantin@chu-dijon.fr. 2. Département d'information médicale, service de biostatistique et informatique médicale, CHU de Dijon, BP 77908, 21079 Dijon , France. 3. Unité de recherche épidémiologique sur la santé périnatale et la santé des femmes et des enfants, Inserm U953, 75000 Paris, France. 4. Direction de la recherche, des études, de l'évaluation et des statistiques (DREES), 75000 Paris, France. 5. Unité de recherche épidémiologique sur la santé périnatale et la santé des femmes et des enfants, Inserm U953, 75000 Paris, France; Département d'information médicale, maternité régionale, CHU de Nancy, 54000 Nancy, France.
Abstract
OBJECTIVE: To compare hospital discharge data (PMSI) with data in the reference databases: vital statistics and National Perinatal Surveys (NPS) for the principal perinatal indicators. METHODS: Data concerning hospitalizations for delivery and childbirth were extracted from the PMSI 2010 database. The exhaustiveness was assessed by comparing discharge data with data from birth certificates. Indicators were compared with those in the 2010 NPS, which was based on a representative sample of births (n=15,000), using 95% confidence intervals. RESULTS: About 823,360 hospital abstracts with delivery and 829,351 hospital abstracts with live births were considered. The exhaustiveness of the PMSI was 99.6% for live births in Metropolitan France. The distribution of maternal age, mode of delivery, birth weight and gestational age in the PMSI and NPS were very similar. In Metropolitan France, the prematurity rate was 6.9% (PMSI) vs. 6.6% [6.2-7.0] (NPS) and the rate of caesarean was 20.6% vs. 20.4% [19.8-21.1]. There were marked differences for the percentage of birth weights<2500g and for maternal diseases. CONCLUSION: The routine use of the PMSI for some indicators for follow-up purposes is foreseeable. Validation studies are still necessary for maternal diseases, for which recording is less standardized.
OBJECTIVE: To compare hospital discharge data (PMSI) with data in the reference databases: vital statistics and National Perinatal Surveys (NPS) for the principal perinatal indicators. METHODS: Data concerning hospitalizations for delivery and childbirth were extracted from the PMSI 2010 database. The exhaustiveness was assessed by comparing discharge data with data from birth certificates. Indicators were compared with those in the 2010 NPS, which was based on a representative sample of births (n=15,000), using 95% confidence intervals. RESULTS: About 823,360 hospital abstracts with delivery and 829,351 hospital abstracts with live births were considered. The exhaustiveness of the PMSI was 99.6% for live births in Metropolitan France. The distribution of maternal age, mode of delivery, birth weight and gestational age in the PMSI and NPS were very similar. In Metropolitan France, the prematurity rate was 6.9% (PMSI) vs. 6.6% [6.2-7.0] (NPS) and the rate of caesarean was 20.6% vs. 20.4% [19.8-21.1]. There were marked differences for the percentage of birth weights<2500g and for maternal diseases. CONCLUSION: The routine use of the PMSI for some indicators for follow-up purposes is foreseeable. Validation studies are still necessary for maternal diseases, for which recording is less standardized.
Authors: Hugo Pilkington; Caroline Prunet; Béatrice Blondel; Hélène Charreire; Evelyne Combier; Marc Le Vaillant; Jeanne-Marie Amat-Roze; Jennifer Zeitlin Journal: Matern Child Health J Date: 2018-01
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