Pharmacoepidemiologic Evaluation of Birth Defects from Health-Related Postings in Social Media During Pregnancy.
Pharmacoepidemiologic Evaluation of Birth Defects from Health-Related Postings in Social Media During Pregnancy.
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DOI：
10.1007/s40264-018-0731-6
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发表时间：
2019-03
期刊：
影响因子：
4.2
通讯作者：
Gonzalez-Hernandez G
中科院分区：
文献类型：
--
作者：
Golder S;Chiuve S;Weissenbacher D;Klein A;O'Connor K;Bland M;Malin M;Bhattacharya M;Scarazzini LJ;Gonzalez-Hernandez G
传统上通过上市后妊娠登记研究妊娠期间服用的药物的不良反应，这具有局限性。社交媒体数据可能是妊娠监测研究的替代数据来源。本研究的目的是评估使用社交媒体数据作为妊娠监测替代来源的可行性，以便制定监管决策。我们创建了一种自动化方法来识别孕妇的Twitter帐户。我们确定了196名孕妇提到与婴儿有关的出生缺陷，196名没有提到与婴儿有关的出生缺陷。我们提取了有关妊娠和孕产妇人口统计学、药物摄入和时间以及出生缺陷的信息。虽然通常不完整，但我们提取了大多数妊娠的数据。在报告出生缺陷的妇女中，35%的人报告在怀孕期间服用一种或多种药物，而对照组为17%。在考虑了年龄、种族和居住地后，在报告出生缺陷的妇女中观察到更高的药物摄入量。妊娠组群的出生缺陷率（0.44%）低于一般人群的出生缺陷率（3%）。Twitter数据收集了关于药物摄入和出生缺陷的信息;然而，目前所获得的信息不能取代妊娠登记。开发自动提取和注释社交媒体数据的改进方法可能会增加其价值，以支持有关怀孕期间使用药物的女性怀孕结局的监管决策。
Adverse effects of medications taken during pregnancy are traditionally studied through post-marketing pregnancy registries, which have limitations. Social media data may be an alternative data source for pregnancy surveillance studies. The objective of this study was to assess the feasibility of using social media data as an alternative source for pregnancy surveillance for regulatory decision making. We created an automated method to identify Twitter accounts of pregnant women. We identified 196 pregnant women with a mention of a birth defect in relation to their baby and 196 without a mention of a birth defect in relation to their baby. We extracted information on pregnancy and maternal demographics, medication intake and timing, and birth defects. Although often incomplete, we extracted data for the majority of the pregnancies. Among women that reported birth defects, 35% reported taking one or more medications during pregnancy compared with 17% of controls. After accounting for age, race, and place of residence, a higher medication intake was observed in women who reported birth defects. The rate of birth defects in the pregnancy cohort was lower (0.44%) compared with the rate in the general population (3%). Twitter data capture information on medication intake and birth defects; however, the information obtained cannot replace pregnancy registries at this time. Development of improved methods to automatically extract and annotate social media data may increase their value to support regulatory decision making regarding pregnancy outcomes in women using medications during their pregnancies.
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影响因子：
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