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

E. Ailes, Regina M. Simeone, April L. Dawson, E. Petersen, S. Gilboa
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引用次数: 65

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.
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使用保险索赔数据来识别和估计怀孕的关键时期:抗抑郁药的应用。
背景:健康保险索赔是检查妊娠期药物使用的丰富数据来源。我们的目的是确定孕妇,她们的妊娠结局和最后一次月经(LMP)的日期,并估计怀孕期间抗抑郁药的配用情况。方法通过文献检索,我们确定了指示妊娠结束的诊断和程序代码。使用Truven Health MarketScan®商业索赔和遭遇数据库,我们确定了所有住院和门诊服务索赔与这些代码。我们开发了一种算法来分配:(1)妊娠结局(异位妊娠、人工流产或自然流产、活产或死产)和(2)估计胎龄,用于每次住院或门诊就诊。对于每个妊娠结局,我们估计LMP为入院(住院就诊)或服务(门诊就诊)日期减去胎龄。为了区分与单独妊娠相关的就诊,我们要求一次妊娠结局与下一次妊娠的LMP之间≥2个月。我们使用该算法识别了2013年的怀孕情况,并估计了在怀孕的不同时间点从门诊药房开抗抑郁药处方的女性比例。结果2013年共发现488,887例妊娠;79%的人活产。6.2%的孕妇服用了抗抑郁药。分配在整个妊娠期间各不相同,在妊娠中期最低(3.1%)。结论本研究将为今后利用健康保险索赔数据估计孕前、孕间和妊娠关键时期的药物分配提供依据。出生缺陷研究(A辑)(06):927-934,2016。©2016 Wiley期刊公司
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来源期刊
Birth defects research. Part A, Clinical and molecular teratology
Birth defects research. Part A, Clinical and molecular teratology 医药科学, 胎儿发育与产前诊断, 生殖系统/围生医学/新生儿
CiteScore
1.86
自引率
0.00%
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0
审稿时长
3 months
期刊最新文献
Issue Information Cover Image Corrigendum for: Levels of folate receptor autoantibodies in maternal and cord blood and risk of neural tube defects in a Chinese population, 106:685–695 (10.1002/bdra.23517) Acardiac twin pregnancies part III: Model simulations. Diprosopus: Systematic review and report of two cases.
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