Validation of Preterm Birth Related Perinatal and Neonatal Data in the Canadian Discharge Abstract Database to Facilitate Long-term Outcomes Research of Individuals Born Preterm
Neonatal variables such as gestational age and birth weight had high accuracy in DAD, while the accuracy of maternal and neonatal morbidities and interventions were variable, with some being poor. Reasons for the inaccuracy of these variables should be identified and measures taken to improve them.
Authors
- Lisa Flaten (ORCID: https://orcid.org/0009-0004-9644-9474)
- Chelsea Ruth (ORCID: https://orcid.org/0000-0002-7097-0542)
- Allan Garland (ORCID: https://orcid.org/0000-0001-7129-936X)
- Deepak Louis (ORCID: https://orcid.org/0000-0002-8535-4208)
- Kristene Cheung (ORCID: https://orcid.org/0000-0002-6759-4961)
- Lisa Marie Lix (ORCID: https://orcid.org/0000-0001-8685-3212)
- Prakesh S. Shah (ORCID: https://orcid.org/0000-0002-9920-0488)
- Peace Eshemokhai (ORCID: https://orcid.org/0009-0006-2507-4585)
Institutions
- Manitoba Health (CA)
- Mount Sinai Hospital (CA)
- University of Toronto (CA)
- University of Manitoba (CA)
Publication Details
- Journal
- International Journal for Population Data Science
- Published
- 2024-10-08
- DOI
- https://doi.org/10.23889/ijpds.v9i1.2380
- Citations
- 2
- Primary Topic
- Neonatal and fetal brain pathology
- Type
- article
- Field-Weighted Citation Impact
- 2.22
Funders
- University of Manitoba