ArticleBMJ open2020
Validation study: evaluation of the metrological quality of French hospital data for perinatal algorithms.
Article in BMJ open, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 1 of them a synthesis that pooled it.
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Who cites it
15 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Systematic review of validated case definitions to identify hypertensive disorders of pregnancy in administrative healthcare databases.Open heart · 2023Pooled it
- Long-Term Cardiovascular Impact of Postpartum Treatment After Hypertensive Disorders of Pregnancy: Population-Based Cohort Study.BJOG : an international journal of obstetrics and gynaecology · 2026Article
- Gestational Diabetes Mellitus and Incident Kidney Disease: A Nationwide French Cohort Study.Kidney360 · 2026Article
- Sequential Safety Surveillance of RSVpreF Vaccination During Pregnancy Early in the Postapproval Period.JAMA network open · 2026Article
- Gestational Diabetes and Incident Hospitalization for Cardiovascular Disease: A Nationwide French Cohort Study.Journal of the American Heart Association · 2025Article
- Identification of gestational diabetes mellitus in European electronic healthcare databases: insights from the ConcePTION project.BMJ open · 2025Article
- Article
- Association between Obstetric Complications and Intravitreal Anti-Vascular Endothelial Growth Factor Agents or Intravitreal Corticosteroids.Journal of personalized medicine · 2022Article
- Impact of SARS-CoV-2 infection on risk of prematurity, birthweight and obstetric complications: A multivariate analysis from a nationwide, population-based retrospective cohort study.BJOG : an international journal of obstetrics and gynaecology · 2022Article
- Conversion rate of laparoscopic or robotic to open sacrocolpopexy: are there associated factors and complications?International urogynecology journal · 2021Article
- Assessment of All-Cause Cancer Incidence Among Individuals With Preeclampsia or Eclampsia During First Pregnancy.JAMA network open · 2021Article
- Intra-database validation of case-identifying algorithms using reconstituted electronic health records from healthcare claims data.BMC medical research methodology · 2021Article
- Article
- Extremely and Very Preterm Deliveries in a Maternity Unit of Inappropriate Level: Analysis of Socio-Residential Factors.Clinical epidemiology · 2021Article
- Episiotomy practices in France: epidemiology and risk factors in non-operative vaginal deliveries.Scientific reports · 2020Article
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectiveThe aim of our validation study was to assess the metrological quality of hospital data for perinatal algorithms on a national level.
designValidation study.
settingThis was a multicentre study of the French medicoadministrative database on perinatal indicators.
participantsIn each hospital, we selected 150 discharge abstracts for delivery (after 22 weeks of gestation), in 2014, and their corresponding medical records. Overall, 22 hospitals were included.
interventionsA single investigator performed blind data collection from medical records in order to compare data from discharge abstracts with data from medical records. Finally, 3246 discharge abstracts were studied. PRIMARY AND SECONDARY OUTCOME MEASURES: Seventy items, including maternal and delivery characteristics and maternal morbidity, were collected for each delivery stay.
resultsThe concordance rate of maternal age at delivery was 94.8% (95% CI 93.8 to 95.4). Combining the two forms of pre-existing diabetes, the algorithm presented a PPV of 65.9% and a sensitivity of 75.7%. The concordance rate of gestational age at delivery was 91.8% (90.9 to 92.7). Regarding gestational diabetes, the PPV was 80.8% (79.4 to 82.2) and the sensitivity was 79.5% (78.1 to 80.9). Regardless of the algorithm explored, the PPV for vaginal delivery was over 99%. For the diagnosis codes corresponding to immediate postpartum haemorrhage, the PPV was 77.7% (76.3 to 79.1) and the sensitivity was 75.5% (74.0 to 77.0). The algorithm for stillbirth presented a PPV of 89.4% (88.3 to 90.5) and a sensitivity of 95.4% (94.7 to 96.1).
conclusionsThis first national validation study of many perinatal algorithms suggests that the French national hospital database is an appropriate data source for epidemiological studies, except for some indicators which presented low PPV and/or sensitivity.
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