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在健康管理数据库中识别产前阿片类药物暴露情况。

Identification of Prenatal Opioid Exposure Within Health Administrative Databases.

机构信息

Dalla Lana School of Public Health, University of Toronto, Toronto, Canada.

ICES, Toronto, Canada.

出版信息

Pediatrics. 2021 Jan;147(1). doi: 10.1542/peds.2020-018507. Epub 2020 Dec 29.

Abstract

BACKGROUND

Health administrative data offer a vital source of data on maternal prenatal opioid exposure (POE). The impact of different methods to estimate POE, especially combining maternal and newborn records, is not known.

METHODS

This population-based cross-sectional study included 454 746 hospital births with linked administrative data in Ontario, Canada, in 2014-2017. POE ascertainment included 3 sources: (1) prenatal opioid prescriptions, (2) maternal opioid-related hospital records, and (3) newborn hospital records with neonatal abstinence syndrome (NAS). Positive percent agreement was calculated comparing cases identified by source, and a comprehensive method was developed combining all 3 sources. We replicated common definitions of POE and NAS from existing literature and compared both number of cases ascertained and maternal socio-demographics and medical history using the comprehensive method.

RESULTS

Using all 3 data sources, there were 9624 cases with POE (21.2 per 1000 births). Among these, positive percent agreement (95% confidence interval) was 79.0% (78.2-79.8) for prenatal opioid prescriptions, 19.0% (18.2-19.8) for maternal opioid-related hospital records, and 44.7% (43.7-45.7) for newborn NAS. Compared with other definitions, our comprehensive method identified up to 523% additional cases. Contrasting ascertainment with maternal opioid-related hospital records, newborn NAS, and prenatal opioid prescriptions respective rates of maternal low income were 57%, 48%, and 39%; mental health hospitalization history was 33%, 28%, and 17%; and infant discharge to social services was 8%, 13%, and 5%.

CONCLUSIONS

Combining prenatal opioid prescriptions and maternal and newborn opioid-related hospital codes improves identification of a broader population of mothers and infants with POE.

摘要

背景

健康行政数据为孕产妇产前阿片类药物暴露(POE)提供了重要的数据来源。但目前尚不清楚使用不同方法(尤其是将产妇和新生儿记录相结合)来估计 POE 的影响。

方法

本基于人群的横断面研究纳入了加拿大安大略省 2014-2017 年期间的 454746 例住院分娩,这些分娩与行政数据相关联。POE 的确定包括 3 个来源:(1)产前阿片类药物处方,(2)产妇阿片类药物相关的住院记录,以及(3)新生儿出现戒断综合征(NAS)的新生儿住院记录。通过比较每个来源识别出的病例,计算阳性百分比一致性,然后制定一种综合所有 3 个来源的方法。我们复制了现有文献中 POE 和 NAS 的常用定义,并使用综合方法比较了通过这种方法确定的病例数量,以及产妇的社会人口统计学特征和病史。

结果

使用所有 3 个数据源,共有 9624 例 POE 病例(每 1000 例分娩中有 21.2 例)。在这些病例中,产前阿片类药物处方的阳性百分比一致性(95%置信区间)为 79.0%(78.2-79.8),产妇阿片类药物相关住院记录为 19.0%(18.2-19.8),新生儿 NAS 为 44.7%(43.7-45.7)。与其他定义相比,我们的综合方法确定了多达 523%的额外病例。与产妇阿片类药物相关住院记录、新生儿 NAS 和产前阿片类药物处方相比,母亲低收入的检出率分别为 57%、48%和 39%;精神卫生住院史分别为 33%、28%和 17%;婴儿出院到社会服务机构的比例分别为 8%、13%和 5%。

结论

将产前阿片类药物处方与产妇和新生儿的阿片类药物相关住院代码相结合,可以更全面地识别出 POE 产妇和婴儿群体。

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