Accuracy of aspirin prophylaxis for preeclampsia prevention documentation within a large administrative dataset.

IF 2.7 3区 医学 Q2 OBSTETRICS & GYNECOLOGY
Paediatric and perinatal epidemiology Pub Date : 2024-08-01 Epub Date: 2023-08-16 DOI:10.1111/ppe.13003
Lauren S Tailor, Renee G Fajardo, Joel G Ray, Isabelle Malhamé, Sonia M Grandi
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引用次数: 0

Abstract

Background: Low-dose aspirin prophylaxis is recommended for women at risk of preeclampsia. Capturing aspirin prophylaxis within administrative databases can be challenging since it is an over-the-counter medication. The Better Outcome Registry and Network (BORN) database, a perinatal health registry in Ontario, Canada, includes a formal variable that captures aspirin prophylaxis for preeclampsia. This variable has not been formally validated.

Objectives: To assess the accuracy of the aspirin prophylaxis variable in the BORN database against an electronic medical record (EMR).

Methods: This validation study comprised 200 randomly selected women who had a livebirth at St. Michael's Hospital (SMH) in Toronto, Ontario, from January 2018 to July 2022. Recorded aspirin prophylaxis in pregnancy and maternal sociodemographic characteristics were independently extracted by two abstractors. Accuracy of aspirin prophylaxis use in the BORN database was compared to that in the SMH EMR, expressed as sensitivity, specificity, positive (PPV) and negative predictive values (NPV), Cohen's kappa (κ), and overall percent agreement, with 95% confidence intervals (CI). Sensitivity analyses were performed to account for missing or unclear aspirin prophylaxis use.

Results: Among 200 women, 24 (12.0%) received aspirin prophylaxis - 12.5% within the SMH EMR and 8.0% in the BORN database. Women using aspirin were older (37.0 vs 33.0 years) and had higher median gravidity (3 vs. 2). Sensitivity and specificity of the BORN aspirin prophylaxis variable were 62.5% (95% CI 40.6, 81.2) and 100.0% (95% CI 97.3, 100.0), respectively. The corresponding positive and negative predictive values were 100.0% (95% CI 78.2, 100.0), and 93.8% (95% CI 88.6, 97.1), respectively. Cohen's κ was 0.74 (95% CI 0.58, 0.90), and overall percent agreement was 94.4% (95% CI 87.1, 100.0).

Conclusions: Aspirin use within the BORN database, based on a standard variable field, appears accurate enough for the potential use in epidemiological studies of aspirin prophylaxis for preeclampsia or as a covariate in related studies.

大型行政数据集中的子痫前期阿司匹林预防性治疗记录的准确性。
背景:建议有先兆子痫风险的妇女使用小剂量阿司匹林进行预防。由于阿司匹林是一种非处方药,因此在行政数据库中记录阿司匹林的预防措施具有挑战性。加拿大安大略省的围产期健康登记机构 Better Outcome Registry and Network (BORN) 数据库包含一个正式变量,用于记录子痫前期的阿司匹林预防措施。该变量尚未经过正式验证:评估 BORN 数据库中阿司匹林预防变量与电子病历 (EMR) 的准确性:这项验证研究随机选取了 200 名 2018 年 1 月至 2022 年 7 月期间在安大略省多伦多市圣迈克尔医院(SMH)活产的产妇。孕期阿司匹林预防记录和产妇社会人口学特征由两名文摘员独立提取。将 BORN 数据库中阿司匹林预防使用的准确性与 SMH EMR 中的准确性进行比较,用灵敏度、特异性、阳性预测值 (PPV) 和阴性预测值 (NPV)、Cohen's kappa (κ)、总体一致性百分比以及 95% 置信区间 (CI) 表示。进行了敏感性分析,以考虑缺失或不明确的阿司匹林预防使用情况:在200名妇女中,有24人(12.0%)接受了阿司匹林预防治疗--在SMH EMR中为12.5%,在BORN数据库中为8.0%。使用阿司匹林的妇女年龄较大(37.0 岁对 33.0 岁),孕酮中位数较高(3 对 2)。BORN 阿司匹林预防变量的敏感性和特异性分别为 62.5% (95% CI 40.6, 81.2) 和 100.0% (95% CI 97.3, 100.0)。相应的阳性预测值和阴性预测值分别为 100.0% (95% CI 78.2, 100.0) 和 93.8% (95% CI 88.6, 97.1)。科恩氏κ为0.74(95% CI 0.58,0.90),总体一致性为94.4%(95% CI 87.1,100.0):基于标准变量字段的 BORN 数据库中的阿司匹林使用情况似乎足够准确,可用于子痫前期阿司匹林预防的流行病学研究或作为相关研究的协变量。
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来源期刊
CiteScore
5.40
自引率
7.10%
发文量
84
审稿时长
1 months
期刊介绍: Paediatric and Perinatal Epidemiology crosses the boundaries between the epidemiologist and the paediatrician, obstetrician or specialist in child health, ensuring that important paediatric and perinatal studies reach those clinicians for whom the results are especially relevant. In addition to original research articles, the Journal also includes commentaries, book reviews and annotations.
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