Barrett John P, Sevick Carter J, Conlin Ava Marie S, Gumbs Gia R, Lee Sydney, Martin Diane P, Smith Tyler C
J Registry Manag. 2012 Summer;39(2):69-75.
Efforts to reduce preterm and low-weight births are among the leading public health objectives in the United States and the world. A necessary component of any public health endeavor is surveillance. The Department of Defense (DoD) Birth and Infant Health Registry (Registry) uses electronic healthcare utilization data to assess reproductive health outcomes among military families. Infant health outcomes are coded using the International Classification of Diseases, 9th Revision, Clinical Modification (ICD-9-CM). The objective of this study was to determine the accuracy of using electronically derived ICD-9-CM codes for assessing gestational age and birth weight among Registry infants compared to medical records.
The authors assessed birth outcome agreement by comparing electronic Registry data for infants born at military treatment facilities (MTFs) from 1999-2002 and 1,858 randomly selected birth medical records from 17 MTFs, with descriptive statistics and measures of agreement, including the kappa statistic.
Of the 1,858 reviewed infant records, 1,669 were successfully matched to the Registry analytic dataset for analyses. Despite small differences in parental demographics, this investigation established "near perfect" agreement for the primary outcomes: kappa of 0.83 for preterm and 0.87 for low birth weight. Subgroup analyses revealed no significant differences in gestational age and birth-weight agreement based on the presence of a birth defect, military parent rank, branch of military service, or specific hospital characteristics.
Electronically derived ICD-9-CM codes provide an accurate assessment of the gestational age and low birth weight reflected in the birth medical records of infants in a large birth and infant health registry. These findings support the integrity of Registry data for investigations assessing preterm and low-weight births among U.S. service member families.
减少早产和低体重儿出生是美国乃至全球主要的公共卫生目标之一。任何公共卫生工作的一个必要组成部分是监测。美国国防部出生与婴儿健康登记处(登记处)利用电子医疗保健利用数据来评估军属的生殖健康结果。婴儿健康结果使用《国际疾病分类》第九版临床修订本(ICD - 9 - CM)进行编码。本研究的目的是确定与病历相比,使用电子衍生的ICD - 9 - CM编码评估登记处婴儿的孕周和出生体重的准确性。
作者通过比较1999 - 2002年在军事治疗设施(MTF)出生的婴儿的电子登记处数据和从17个MTF随机选取的1858份出生病历,采用描述性统计和一致性测量方法,包括kappa统计量,来评估出生结果的一致性。
在1858份审查的婴儿记录中,有1669份成功匹配到登记处分析数据集进行分析。尽管父母人口统计学特征存在细微差异,但本调查确定主要结果的一致性“近乎完美”:早产的kappa值为0.83,低出生体重的kappa值为0.87。亚组分析显示,基于是否存在出生缺陷、军人父母军衔、军种或特定医院特征,孕周和出生体重的一致性没有显著差异。
电子衍生的ICD - 9 - CM编码能够准确评估大型出生与婴儿健康登记处中婴儿出生病历所反映的孕周和低出生体重情况。这些发现支持了登记处数据在美国军人家庭早产和低体重儿出生调查中的完整性。