2015
DOI: 10.1016/j.respe.2015.05.001
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Évaluation de la qualité métrologique des données du programme de médicalisation du système d’information (PMSI) en périnatalité : étude pilote réalisée dans 3 CHU

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Cited by 32 publications
(32 citation statements)
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“…The following individual risk factors were collected: single or multiple births, birth weight, GA, age at season onset, underlying medical disorders, and history of bronchiolitis and/or low respiratory tract infection (LRTI). Unlike birth weight, GA was not mandatory in standard discharge abstracts until March 1, 2009, and some maternity wards did not record GA. Multivariate regression was therefore used to impute missing completely at random data on GA (11.9%) based on gender, birth weight, and main characteristics of neonatal stay (i.e., length of hospital stay, admission to NICU, and in-hospital death) [12,13]. GA was categorized into extremely preterm (22-27 GA), very preterm (28-32 GA), moderate preterm (33-36 GA), full-term (37-41 GA), and post-term (�42 GA) [14].…”
Section: Discussionmentioning
confidence: 99%
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“…The following individual risk factors were collected: single or multiple births, birth weight, GA, age at season onset, underlying medical disorders, and history of bronchiolitis and/or low respiratory tract infection (LRTI). Unlike birth weight, GA was not mandatory in standard discharge abstracts until March 1, 2009, and some maternity wards did not record GA. Multivariate regression was therefore used to impute missing completely at random data on GA (11.9%) based on gender, birth weight, and main characteristics of neonatal stay (i.e., length of hospital stay, admission to NICU, and in-hospital death) [12,13]. GA was categorized into extremely preterm (22-27 GA), very preterm (28-32 GA), moderate preterm (33-36 GA), full-term (37-41 GA), and post-term (�42 GA) [14].…”
Section: Discussionmentioning
confidence: 99%
“…Also, risk factors and outcomes were identified from administrative records and may have introduced misclassification bias. Several validation studies conducted in teaching hospitals suggest that risk factors and bronchiolitis hospitalizations are correctly recorded in the French Hospital Discharge database [12,19,20]. At the national level, we identified several administrative recording problems for perinatal care that concerned a minority of hospitals and greatly improved over the study period: multiple births with the same anonymous identifier (0.79%), missing data on birth weight (0.31%), or GA (11.9%).…”
Section: Plos Onementioning
confidence: 92%
“…In previous studies, Quantin et al compared such information from various sources and showed that it was possible to identify deliveries in mainland France with a difference of 0.3 % compared with the civil registry, which records all births in our country [ 33 ]. In a pilot study in 2012 based on 20 cases of GDM from 300 medical records [ 34 ], Pierron et al also assessed the ability of French hospital data to identify GDM and found a positive predictive value of 88.9 % [74.3–100].…”
Section: Discussionmentioning
confidence: 99%
“…It is expressed in completed gestational weeks and has been validated, 23 with a high positive predictive value. 24 For inpatient abortions and other pregnancy outcomes, the number of days after the LMP has been recorded since March 2011 22 Spontaneous abortion = death of a fetus with a gestational age < 22 weeks after the LMP and a birth weight < 500 g.…”
Section: Gestational Ages or Numbers Of Days After The Lmp Gestationalmentioning
confidence: 99%