Although correction for underreporting of congenital malformations on birth certificates is included in most studies, inaccuracy of reporting has not been widely examined. Two separate investigations were conducted on the inaccuracy of Down syndrome (DS) reporting on birth certificates; ie, false-positive cases in which an individual coded as DS did not in fact have DS. In Ohio, 824 individuals were coded as DS on their birth certificate during 1970-1981. Of these, a definitive determination as to whether or not they had DS was made on 778 by using cytogenetic data, medical records, the state's birth defects registry, school records, and by questioning physicians. Fifty-seven false-positives were found, indicating a 7.8% level of coding inaccuracy for all races and 6.9% for whites only. Nine of these arose from miscodings during data processing; 48 were misdiagnosed as DS. This can be contrasted with false-negatives also studied in Ohio, where 66.1% of DS cases were not reported on the birth certificate. No statistical differences were observed between false-positives and true DS in the distribution of sexes, in population size of county of birth, or in year of birth (although there was a declining false-positive rate over the 12 year period). The percentage of DS false-positives, however, was significantly higher for younger maternal ages (greater than or equal to 30 years) than older ones (greater than or equal to 30 years) and for nonwhites compared to whites. Further, there was a strong negative correlation between the percentage of false-positives and the degree of certainty expressed in reporting DS on the birth certificate.
Download full-text PDF |
Source |
---|---|
http://dx.doi.org/10.1002/gepi.1370020203 | DOI Listing |
J Racial Ethn Health Disparities
January 2025
Department of Biomedical Informatics, College of Medicine, University of Arkansas for Medical Sciences, Little Rock, AR, USA.
Context: To evaluate algorithmic fairness in low birthweight predictive models.
Study Design: This study analyzed insurance claims (n = 9,990,990; 2013-2021) linked with birth certificates (n = 173,035; 2014-2021) from the Arkansas All Payers Claims Database (APCD).
Methods: Low birthweight (< 2500 g) predictive models included four approaches (logistic, elastic net, linear discriminate analysis, and gradient boosting machines [GMB]) with and without racial/ethnic information.
J Educ Health Promot
December 2024
Department of Internal Medicine, Shri MP Shah Medical College Gujarat, India.
Background: Accurate determination of infant mortality causes and understanding sociocultural factors influencing care-seeking behaviors are crucial for targeted interventions in resource-limited settings. This mixed-methods study aimed to assess the accuracy of verbal autopsy (VA) in ascertaining infant death causes and explore sociocultural determinants of infant mortality in Gujarat, India.
Materials And Methods: It was a mixed-method study with a retrospective cohort component for which data from 661 infant records were extracted from the main health office's database, with a subset of 328 infant deaths selected for verbal autopsy analysis.
J Obstet Gynaecol Res
January 2025
Department of Public Health, Dokkyo Medical University, School of Medicine, Tochigi, Japan.
Aim: The long-term effects of the COVID-19 pandemic on birth and pregnancy trends in Japan remain unclear. Although major sporting events are usually followed by an increase in births 9 months later, Japan's fifth wave of COVID-19 occurred during the Olympics held in Japan during the summer of 2021. In this study, we analyzed how the number of births and pregnancies changed during the COVID-19 pandemic and large-scale events in Japan.
View Article and Find Full Text PDFJ Epidemiol Popul Health
January 2025
CépiDc, Inserm, Paris, France; France Cohortes, Inserm, Paris, France.
Background: In France, the infant mortality rate had a long period of decline, but it stopped decreasing after 2010 and then rose. Neonatal mortality is a large part of infant mortality. The aim of this study was thus to describe its main changes, by cause of death and gestational age, and the main changes in socio-spatial distribution, from 2001 to 2017.
View Article and Find Full Text PDFAm J Perinatol
January 2025
OB-GYN, EVMS, Norfolk, United States.
Objective: To examine the correlations between pairs of maternal, infant, and maternal-infant dyad quality measures to provide a comprehensive assessment of perinatal care.
Study Design: In a retrospective cohort study using birth and fetal death certificates linked to hospital discharge data from Michigan, Oregon, Pennsylvania, and South Carolina (2016-2018), we examined correlations between pairs of maternal, infant, and maternal-infant dyad quality measures. Maternal quality measures included nulliparous term singleton vertex (NTSV) cesarean birth, non-transfusion severe maternal morbidity (SMM), and a composite maternal outcome.
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!