使用关联的澳大利亚全科医生、医院、急诊科和死亡数据的跨数据集记录的急性严重事件的一致性:对研究和监测的影响。

IF 1.6 Q3 HEALTH CARE SCIENCES & SERVICES International Journal of Population Data Science Pub Date : 2023-01-01 DOI:10.23889/ijpds.v8i1.2118
Sarah Ahmed, Allan Pollack, Alys Havard, Sallie-Anne Pearson, Kendal Chidwick
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摘要

简介:了解全科电子健康记录(EHRs)中急性严重事件的记录水平对于决定全科数据集的适用性,以解决研究问题和将全科电子健康记录与其他数据集联系起来的要求至关重要。目的:比较全科电子病历中记录的5种严重急性事件(心肌梗死、卒中、静脉血栓栓塞(VTE)、胰腺炎和自杀)与医院、急诊科(ED)和死亡率数据的数据源一致性。方法:将61家全科医院的数据与新南威尔士州行政医院、急诊科和死亡率数据相关联,这些数据通常为MedicineInsight数据库提供数据。研究人群包括在2019年至2020年期间至少有三次参与全科医生临床就诊的患者,以及在2010年至2020年期间至少有一次住院、急诊科或死亡率记录的患者。对五个感兴趣事件的MedicineInsight诊断算法与管理数据中的编码诊断之间的一致性进行了评估。比较一致事件的发生日期。结果:该研究包括274,420名全科患者,在2010年至2020年期间的行政数据中至少有一次记录。在5个急性事件中,特异性和NPV都很好(>98%),但敏感性(13%-51%)和PPV(30%-75%)较低。静脉血栓栓塞(50.9%)和急性胰腺炎(75.2%)的敏感性和PPV分别最高。大多数(约70-80%)真阳性病例在行政记录后30天内记录在电子病历中。结论:在特定时间段内,应用于全科医生电子病历的诊断算法无法检测到从管理数据中识别出的大部分事件。EHR数据提取和研究设计只能部分解释低敏感性/ ppv。我们的研究结果支持使用与医院、急诊科和死亡率数据相关的澳大利亚全科医生电子病历,对选定的严重急性疾病进行强有力的研究。
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Agreement of acute serious events recorded across datasets using linked Australian general practice, hospital, emergency department and death data: implications for research and surveillance.

Introduction: Understanding the level of recording of acute serious events in general practice electronic health records (EHRs) is critical for making decisions about the suitability of general practice datasets to address research questions and requirements for linking general practice EHRs with other datasets.

Objectives: To examine data source agreement of five serious acute events (myocardial infarction, stroke, venous thromboembolism (VTE), pancreatitis and suicide) recorded in general practice EHRs compared with hospital, emergency department (ED) and mortality data.

Methods: Data from 61 general practices routinely contributing data to the MedicineInsight database was linked with New South Wales administrative hospital, ED and mortality data. The study population comprised patients with at least three clinical encounters at participating general practices between 2019 and 2020 and at least one record in hospital, ED or mortality data between 2010 and 2020. Agreement was assessed between MedicineInsight diagnostic algorithms for the five events of interest and coded diagnoses in the administrative data. Dates of concordant events were compared.

Results: The study included 274,420 general practice patients with at least one record in the administrative data between 2010 and 2020. Across the five acute events, specificity and NPV were excellent (>98%) but sensitivity (13%-51%) and PPV (30%-75%) were low. Sensitivity and PPV were highest for VTE (50.9%) and acute pancreatitis (75.2%), respectively. The majority (roughly 70-80%) of true positive cases were recorded in the EHR within 30 days of administrative records.

Conclusion: Large proportions of events identified from administrative data were not detected by diagnostic algorithms applied to general practice EHRs within the specific time period. EHR data extraction and study design only partly explain the low sensitivities/PPVs. Our findings support the use of Australian general practice EHRs linked to hospital, ED and mortality data for robust research on the selected serious acute conditions.

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CiteScore
2.50
自引率
0.00%
发文量
386
审稿时长
20 weeks
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