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Medication use during pregnancy, gestational age and date of delivery: agreement between maternal self-reports and health database information in a cohort

机译:怀孕期间使用药物使用,孕期年龄和交货日期:孕产妇自我报告与卫生数据库信息之间的协议

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Health databases are a promising resource for epidemiological studies on medications safety during pregnancy. The reliability of information on medications exposure and pregnancy timing is a key methodological issue. This study (a) compared maternal self-reports and database information on medication use, gestational age, date of delivery; (b) quantified the degree of agreement between sources; (c) assessed predictors of agreement. Pregnant women recruited in a prenatal clinic in Friuli Venezia Giulia (FVG) region, Italy, from 2007 to 2009, completed a questionnaire inquiring on medication use during pregnancy, gestational age and date of delivery. Redeemed prescriptions and birth certificate records were extracted from regional databases through record linkage. Percent agreement, Kappa coefficient, prevalence and bias-adjusted Kappa (PABAK) were calculated. Odds Ratio (OR), with 95?% confidence interval (95 % CI), of ≥1 agreement was calculated through unconditional logistic regression. The cohort included 767 women, 39.8?% reported medication use, and 70.5?% were dispensed at least one medication. Kappa and PABAK indicated almost perfect to substantial agreement for antihypertensive medications (Kappa 0.86, PABAK 0.99), thyroid hormones (0.88, 0.98), antiepileptic medications (1.00, 1.00), antithrombotic agents (0.70, 0.96). PABAK value was greater than Kappa for medications such as insulin (Kappa 0.50, PABAK 0.99), antihistamines for systemic use (0.50, 0.99), progestogens (0.28, 0.79), and antibiotics (0.12, 0.63). Adjusted OR was 0.48 (95 % CI 0.26; 0.90) in ex- vs. never smokers, 0.64 (0.38; 1.08) in?
机译:健康数据库是怀孕期间药物安全性的流行病学研究的有希望的资源。有关药物接触和妊娠时序的信息的可靠性是一个关键方法问题。本研究(a)对母体自我报告和数据库信息进行药物使用,妊娠期,交货日期; (b)量化来源之间的协议程度; (c)评估协议的预测因素。孕妇招募在意大利Friuli Venezia Giulia(FVG)地区的产前诊所(FVG)地区,从2007年到2009年完成了调查问卷,询问怀孕期间用药,妊娠期和交货日期。通过记录联动从区域数据库中提取兑换的处方和出生证明记录。计算百分比,κ系数,患病率,普及和偏见调整的κ(Pabak)。通过无条件逻辑回归计算≥1协议的95倍置信区间(95%CI)的差距(或)。队列包括767名妇女,报告的药物使用39.8%,分配了70.5〜%的药物。 Kappa和Pabak表示几乎完美的抗高血压药物协议(Kappa 0.86,Pabak 0.99),甲状腺激素(0.88,0.98),抗癫痫药物(1.00,1.00),抗血栓和0.70,0.96)。 Pabak值大于胰岛素(Kappa 0.50,Pabak 0.99),抗组胺药(0.50,0.99),孕激素(0.28,0.79)和抗生素(0.12,0.63)。在与吸烟者中,调整或为0.48(95%CI 0.26; 0.90),从不吸烟,0.64(0.38; 1.08)?<?高中与大学,1.55(1.01; 2.37)患有合并症的女性,2.25(1.19 ; 4.26)在40岁以上的岁月与30-34岁。妊娠年龄恰好在85.2?%和99.5?%的交付日期内匹配。对于用于慢性条件的选定药物,自我报告和分配数据之间的协议很高。对于低于使用率低的药物,Pabak提供了更可靠的协议措施。母体报告和分配数据互相补充,以提高怀孕期间使用药物的信息的可靠性。出生证明提供有关怀孕时间的可靠数据。 FVG健康数据库是妊娠期研究的有价值的数据来源。

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