2015
DOI: 10.1002/bdra.23421
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Editorial utility of population‐based birth defects surveillance for monitoring the health of infants and as a foundation for etiologic research

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Cited by 4 publications
(4 citation statements)
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“…Such research can be particularly powerful and efficient if done in collaboration with population based birth defect surveillance programs enhanced with clinical expertise and meaningful case classification. 36 Advances in the knowledge of the causal pathway leading to birth defects can be the basis for better primary prevention interventions, resulting in longer and better lives. For clinicians and parents, it is important to understand what can be done today to prevent birth defects, in particular the role of preconception care focusing on optimal women’s health (including screening/treating chronic illnesses, attaining folic acid sufficiency, etc).…”
Section: Discussionmentioning
confidence: 99%
“…Such research can be particularly powerful and efficient if done in collaboration with population based birth defect surveillance programs enhanced with clinical expertise and meaningful case classification. 36 Advances in the knowledge of the causal pathway leading to birth defects can be the basis for better primary prevention interventions, resulting in longer and better lives. For clinicians and parents, it is important to understand what can be done today to prevent birth defects, in particular the role of preconception care focusing on optimal women’s health (including screening/treating chronic illnesses, attaining folic acid sufficiency, etc).…”
Section: Discussionmentioning
confidence: 99%
“…We defined fetal anomaly based on the National Birth Defects Prevention Network's 47 major anomalies. 23 For this analysis, scans in which an isolated fetal soft marker was identified were not included as anomalous. We also evaluated whether an anomaly had previously been suspected at an outside clinic, and the gestational age at time of that referral.…”
Section: Methodsmentioning
confidence: 99%
“…Moore and McCabe [15] emphasized the serious strategic decision error would endure if the data quality were poor, leading to low data utilization efficiency. Although data cleansing follows data collection, data thoroughly checked for errors, and other inconsistencies are corrected for future use [16].…”
Section: Data Cleansingmentioning
confidence: 99%