Literature DB >> 17803618

Assessing the quality of last menstrual period date on California birth records.

Michelle Pearl1, Megan L Wier, Martin Kharrazi.   

Abstract

Birth certificate last menstrual period (LMP) date is widely used to estimate gestational age in the US. While data quality concerns have been raised, no large population-based study has isolated data quality issues by comparing birth record LMP (Birth LMP) with reliable LMP dates from another source. We assessed LMP data quality in 2002 California singleton livebirth records (n = 515 381) and in a subset of records with linked prenatally collected LMP from California's statewide Prenatal Expanded Alpha-fetoprotein Screening Program (XAFP) (n = 105 936). Missing or incomplete LMP data affected 13% of birth records; 17% of those had complete LMP within XAFP records. Data quality indicators supported XAFP LMP as more accurate than Birth LMP, with a lower prevalence of digit preference, post-term delivery, out-of-range gestational age estimates and implausible birthweight-for-gestational age. The bimodal birthweight distribution evident at 20-31 weeks' gestation based on Birth LMP was nearly absent with XAFP LMP-based gestational age. Approximately 32% of the second birthweight mode was explained by apparent clerical errors in Birth LMP month. Digit preference errors, particularly day 1, were associated with gestational age overestimation. Preterm delivery rates were higher according to Birth (7.6%) vs. XAFP LMP (7.2%). One-fifth of observed preterm and over half of observed post-term births using Birth LMP were not true cases; 15% of true preterm cases were missed. African American or Hispanic, less educated, and publicly or uninsured women were most likely to be misclassified and have large LMP date discrepancies attributable to clerical or digit preference error. The implementation of a revised birth certificate is an opportunity for targeted training and data entry checks that could substantially improve LMP accuracy on birth records.

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Year:  2007        PMID: 17803618     DOI: 10.1111/j.1365-3016.2007.00861.x

Source DB:  PubMed          Journal:  Paediatr Perinat Epidemiol        ISSN: 0269-5022            Impact factor:   3.980


  27 in total

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2.  Comparison of two measures of gestational age among low income births. The potential impact on health studies, New York, 2005.

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4.  A 2017 US Reference for Singleton Birth Weight Percentiles Using Obstetric Estimates of Gestation.

Authors:  Izzuddin M Aris; Ken P Kleinman; Mandy B Belfort; Anjali Kaimal; Emily Oken
Journal:  Pediatrics       Date:  2019-06-14       Impact factor: 7.124

5.  Comparison of gestational dating methods and implications for exposure-outcome associations: an example with PM2.5 and preterm birth.

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6.  California Very Preterm Birth Study: design and characteristics of the population- and biospecimen bank-based nested case-control study.

Authors:  Martin Kharrazi; Michelle Pearl; Juan Yang; Gerald N DeLorenze; Christopher J Bean; William M Callaghan; Althea Grant; Eve Lackritz; Roberto Romero; Glen A Satten; Hyagriv Simhan; Anthony R Torres; Jonna B Westover; Robert Yolken; Dhelia M Williamson
Journal:  Paediatr Perinat Epidemiol       Date:  2012-01-31       Impact factor: 3.980

7.  Stillbirths and live births in the periviable period.

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Journal:  Ann Epidemiol       Date:  2020-07-08       Impact factor: 3.797

8.  The risk of intrauterine fetal death in the small-for-gestational-age fetus.

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9.  The contribution of maternal birth cohort to term small for gestational age in the United States 1989-2010: an age, period, and cohort analysis.

Authors:  Claire Margerison-Zilko
Journal:  Paediatr Perinat Epidemiol       Date:  2014-05-07       Impact factor: 3.980

10.  Risk of stillbirth and infant death stratified by gestational age.

Authors:  Melissa G Rosenstein; Yvonne W Cheng; Jonathan M Snowden; James M Nicholson; Aaron B Caughey
Journal:  Obstet Gynecol       Date:  2012-07       Impact factor: 7.661

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