Validity of health plan and birth certificate data for pregnancy research.
Validity of health plan and birth certificate data for pregnancy research.
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DOI：
10.1002/pds.3319
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发表时间：
2013-01
影响因子：
2.6
通讯作者：
Cooper, William O.
中科院分区：
文献类型：
--
作者：
Andrade, Susan E.;Scott, Pamela E.;Davis, Robert L.;Li, De-Kun;Getahun, Darios;Cheetham, T. Craig;Raebel, Marsha A.;Toh, Sengwee;Dublin, Sascha;Pawloski, Pamala A.;Hammad, Tarek A.;Beaton, Sarah J.;Smith, David H.;Dashevsky, Inna;Haffenreffer, Katherine;Cooper, William O.
关键词：
评价健康计划和出生证资料在妊娠研究中的有效性。一项回顾研究使用了11个美国健康计划的管理和索赔数据，以及州卫生部门的相应出生证明数据。诊断、药物分配和程序代码用于确定婴儿结局(心脏缺陷、无脑儿、早产和新生儿重症监护病房(NICU)入院)和母亲诊断(哮喘和系统性红斑狼疮[SLE])，这些诊断记录在2001年1月至2007年12月的活产健康计划数据中。随机抽取婴儿和母亲的病历样本(n=802)，以确定具体的结局。还提取了关于新生儿、母亲和父亲特征的信息(出生时的胎龄、出生体重、以前的怀孕和活产、种族/民族)，并将其与出生证明数据进行比较。以病历文件为金标准，计算阳性预测值(PPV)。心脏畸形占71%，无脑儿占37%，早产占87%，NICU占92%。用于识别哮喘和系统性红斑狼疮母亲诊断的PPV为≥93%。我们的研究结果表明，出生证明和医疗记录数据在测量出生体重、胎龄、既往产科病史和种族/民族方面具有相当大的一致性(PPVS>；90%)。健康计划和出生证明数据可用于准确识别某些婴儿结局、母亲诊断以及新生儿、母亲和父亲的特征。其他结果和变量可能需要查看病历以进行验证。
To evaluate the validity of health plan and birth certificate data for pregnancy research. A retrospective study was conducted using administrative and claims data from 11 U.S. health plans, and corresponding birth certificate data from state health departments. Diagnoses, drug dispensings, and procedure codes were used to identify infant outcomes (cardiac defects, anencephaly, preterm birth, and neonatal intensive care unit [NICU] admission) and maternal diagnoses (asthma and systemic lupus erythematosus [SLE]) recorded in the health plan data for live born deliveries between January 2001 and December 2007. A random sample of medical charts (n = 802) was abstracted for infants and mothers identified with the specified outcomes. Information on newborn, maternal, and paternal characteristics (gestational age at birth, birth weight, previous pregnancies and live births, race/ethnicity) was also abstracted and compared to birth certificate data. Positive predictive values (PPVs) were calculated with documentation in the medical chart serving as the gold standard. PPVs were 71% for cardiac defects, 37% for anencephaly, 87% for preterm birth, and 92% for NICU admission. PPVs for algorithms to identify maternal diagnoses of asthma and SLE were ≥ 93%. Our findings indicated considerable agreement (PPVs > 90%) between birth certificate and medical record data for measures related to birth weight, gestational age, prior obstetrical history, and race/ethnicity. Health plan and birth certificate data can be useful to accurately identify some infant outcomes, maternal diagnoses, and newborn, maternal, and paternal characteristics. Other outcomes and variables may require medical record review for validation.
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影响因子：
2.3
作者：
Barnabe C;Faris PD;Quan H
通讯作者：
Quan H
影响因子：
2.3
作者：
Clowse, Megan E. B.
通讯作者：
Clowse, Megan E. B.
影响因子：
5.6
作者：
Zollinger, TW;Przybylski, MJ;Gamache, RE
通讯作者：
Gamache, RE
影响因子：
2.8
作者：
Pearl, Michelle;Wier, Megan L.;Kharrazi, Martin
通讯作者：
Kharrazi, Martin
DOI：
10.1038/sj.jp.7211382
发表时间：
2005-11-01
期刊：
Journal of perinatology : official journal of the California Perinatal Association
影响因子：
--
作者：
Frohnert, Barbara Kathleen;Lussky, Richard Charles;Falken, Myron Clifford
通讯作者：
Falken, Myron Clifford