A Harmonised Approach to Curating Research-Ready Datasets for Asthma, Chronic Obstructive Pulmonary Disease (COPD) and Interstitial Lung Disease (ILD) in England, Wales and Scotland Using Clinical Practice Research Datalink (CPRD), Secure Anonymised Information Linkage (SAIL) Databank and DataLoch

IF 3.4 2区 医学 Q1 PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH Clinical Epidemiology Pub Date : 2024-04-04 DOI:10.2147/clep.s437937
Sara Hatam, Sean Timothy Scully, Sarah Cook, Hywel T Evans, Alastair Hume, Constantinos Kallis, Ian Farr, Chris Orton, Aziz Sheikh, Jennifer K Quint
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Abstract

Background: Electronic healthcare records (EHRs) are an important resource for health research that can be used to improve patient outcomes in chronic respiratory diseases. However, consistent approaches in the analysis of these datasets are needed for coherent messaging, and when undertaking comparative studies across different populations.
Methods and Results: We developed a harmonised curation approach to generate comparable patient cohorts for asthma, chronic obstructive pulmonary disease (COPD) and interstitial lung disease (ILD) using datasets from within Clinical Practice Research Datalink (CPRD; for England), Secure Anonymised Information Linkage (SAIL; for Wales) and DataLoch (for Scotland) by defining commonly derived variables consistently between the datasets. By working in parallel on the curation methodology used for CPRD, SAIL and DataLoch for asthma, COPD and ILD, we were able to highlight key differences in coding and recording between the databases and identify solutions to enable valid comparisons.
Conclusion: Codelists and metadata generated have been made available to help re-create the asthma, COPD and ILD cohorts in CPRD, SAIL and DataLoch for different time periods, and provide a starting point for the curation of respiratory datasets in other EHR databases, expediting further comparable respiratory research.

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英格兰、威尔士和苏格兰利用临床实践研究数据链 (CPRD)、安全匿名信息链接 (SAIL) 数据库和数据洛赫 (DataLoch) 收集哮喘、慢性阻塞性肺病 (COPD) 和间质性肺病 (ILD) 研究用数据集的统一方法
背景:电子医疗记录(EHR)是健康研究的重要资源,可用于改善慢性呼吸系统疾病患者的治疗效果。然而,在进行不同人群的比较研究时,需要采用一致的方法来分析这些数据集,以获得一致的信息:我们开发了一种统一的整理方法,通过在数据集之间统一定义常见的衍生变量,利用临床实践研究数据链(CPRD,英格兰)、安全匿名信息链接(SAIL,威尔士)和数据洛赫(DataLoch,苏格兰)中的数据集生成哮喘、慢性阻塞性肺疾病(COPD)和间质性肺疾病(ILD)的可比患者队列。通过同时研究 CPRD、SAIL 和 DataLoch 用于哮喘、慢性阻塞性肺病和 ILD 的整理方法,我们能够突出数据库之间在编码和记录方面的主要差异,并确定解决方案,以便进行有效比较:已生成的代码表和元数据可用于帮助在 CPRD、SAIL 和 DataLoch 中重新创建不同时期的哮喘、慢性阻塞性肺病和 ILD 队列,并为其他电子病历数据库中呼吸系统数据集的整理提供了一个起点,从而加快了进一步的可比呼吸系统研究。
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来源期刊
Clinical Epidemiology
Clinical Epidemiology Medicine-Epidemiology
CiteScore
6.30
自引率
5.10%
发文量
169
审稿时长
16 weeks
期刊介绍: Clinical Epidemiology is an international, peer reviewed, open access journal. Clinical Epidemiology focuses on the application of epidemiological principles and questions relating to patients and clinical care in terms of prevention, diagnosis, prognosis, and treatment. Clinical Epidemiology welcomes papers covering these topics in form of original research and systematic reviews. Clinical Epidemiology has a special interest in international electronic medical patient records and other routine health care data, especially as applied to safety of medical interventions, clinical utility of diagnostic procedures, understanding short- and long-term clinical course of diseases, clinical epidemiological and biostatistical methods, and systematic reviews. When considering submission of a paper utilizing publicly-available data, authors should ensure that such studies add significantly to the body of knowledge and that they use appropriate validated methods for identifying health outcomes. The journal has launched special series describing existing data sources for clinical epidemiology, international health care systems and validation studies of algorithms based on databases and registries.
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