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

Assessing the quality of last menstrual period date on California birth records
复制标题

DOI:
10.1111/j.1365-3016.2007.00861.x
复制
发表时间:
2007-09-01
影响因子:
2.8
通讯作者:
Kharrazi, Martin
Kharrazi, Martin
中科院分区:
医学3区
文献类型:
--
作者:
Pearl, Michelle;Wier, Megan L.;Kharrazi, Martin

文献摘要

被引文献

相似文献

出生证明末次月经(LMP)日期在美国被广泛用于估计胎龄。虽然已经提出了数据质量问题,但没有大型基于人群的研究通过比较出生记录LMP(出生LMP)与其他来源的可靠LMP日期来隔离数据质量问题。我们评估了2002年加州单胎活产记录(n = 515 381)和一个子集的记录与产前收集的LMP从加州的全州产前扩大甲胎蛋白筛查计划(XAFP)(n = 105 936)的LMP数据质量。缺失或不完整的LMP数据影响了13%的出生记录,其中17%的人在XAFP记录中有完整的LMP。数据质量指标支持XAFP LMP比出生LMP更准确,数字偏好,过期分娩,超出范围的胎龄估计和不可信的出生体重胎龄的患病率较低。基于出生LMP的孕龄在20-31周时明显的双峰出生体重分布几乎不存在于基于XAFP LMP的孕龄。大约32%的第二次出生体重模式是由出生LMP月的明显笔误解释的。数字偏好错误,特别是第1天,与胎龄高估有关。早产率根据出生(7.6%)高于XAFP LMP(7.2%)。使用出生LMP观察到的五分之一的早产和超过一半的观察到的足月分娩不是真实病例; 15%的真实早产病例被遗漏。非裔美国人或西班牙裔,教育程度较低,公开或无保险的妇女最有可能被错误分类,并有较大的LMP日期差异归因于文书或数字偏好错误。修订出生证的实施是有针对性的培训和数据输入检查的机会,可以大大提高出生记录的LMP准确性。
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.