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利用保险理赔数据识别和估计孕期关键时期:抗抑郁药的应用。

Using insurance claims data to identify and estimate critical periods in pregnancy: An application to antidepressants.

作者信息

Ailes Elizabeth C, Simeone Regina M, Dawson April L, Petersen Emily E, Gilboa Suzanne M

机构信息

National Center on Birth Defects and Developmental Disabilities, CDC, Atlanta, Georgia.

National Center for Chronic Disease Prevention and Health Promotion, CDC, Atlanta, Georgia.

出版信息

Birth Defects Res A Clin Mol Teratol. 2016 Nov;106(11):927-934. doi: 10.1002/bdra.23573.

Abstract

BACKGROUND

Health insurance claims are a rich data source to examine medication use in pregnancy. Our objective was to identify pregnant women, their pregnancy outcomes, and date of their last menstrual period (LMP), and to estimate antidepressant dispensations in pregnancy.

METHODS

From a literature search, we identified diagnosis and procedure codes indicating the end of a pregnancy. Using Truven Health MarketScan Commercial Claims and Encounters Databases, we identified all inpatient admissions and outpatient service claims with these codes. We developed an algorithm to assign: (1) pregnancy outcome (ectopic pregnancy, induced or spontaneous abortion, live birth, or stillbirth), and (2) estimated gestational age, to each inpatient or outpatient visit. For each pregnancy outcome, we estimated the LMP as the admission (for inpatient visits) or service (for outpatient visits) date minus the gestational age. To differentiate visits associated with separate pregnancies, we required ≥ 2 months between one pregnancy outcomes and the LMP of the next pregnancy. We used this algorithm to identify pregnancies in 2013 and to estimate the proportion of women who filled a prescription for an antidepressant from an outpatient pharmacy at various time points in pregnancy.

RESULTS

We identified 488,887 pregnancies in 2013; 79% resulted in a live birth. A prescription for an antidepressant was filled in 6.2% of pregnancies. Dispensations varied throughout pregnancy and were lowest (3.1%) during the second trimester.

CONCLUSION

This work will inform future efforts to estimate medication dispensations during critical periods of preconception, interconception, and pregnancy using health insurance claims data. Birth Defects Research (Part A) 106:927-934, 2016. © 2016 Wiley Periodicals, Inc.

摘要

背景

医疗保险理赔数据是研究孕期用药情况的丰富数据源。我们的目标是识别孕妇、她们的妊娠结局以及末次月经日期(LMP),并估算孕期抗抑郁药的配药情况。

方法

通过文献检索,我们确定了表明妊娠结束的诊断和程序代码。利用Truven Health MarketScan商业理赔与医疗记录数据库,我们识别出所有带有这些代码的住院和门诊服务理赔记录。我们开发了一种算法来为每次住院或门诊就诊确定:(1)妊娠结局(异位妊娠、人工流产或自然流产、活产或死产),以及(2)估算的孕周。对于每种妊娠结局,我们将LMP估算为入院日期(住院就诊)或服务日期(门诊就诊)减去孕周。为区分与不同妊娠相关的就诊,我们要求一次妊娠结局与下一次妊娠的LMP之间间隔≥2个月。我们使用该算法识别2013年的妊娠情况,并估算在孕期不同时间点从门诊药房开具抗抑郁药处方的女性比例。

结果

我们在2013年识别出488,887例妊娠;其中79%为活产。6.2%的妊娠开具了抗抑郁药处方。整个孕期的配药情况有所不同,孕中期最低(3.1%)。

结论

这项工作将为未来利用医疗保险理赔数据估算孕前、孕间期和孕期关键时期的药物配药情况提供参考。《出生缺陷研究(A部分)》106:927 - 934, 2016年。© 2016威利期刊公司。

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