Deriving a Standardised Recommended Respiratory Disease Codelist Repository for Future Research.
Deriving a Standardised Recommended Respiratory Disease Codelist Repository for Future Research.
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DOI：
10.2147/por.s353400
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发表时间：
2022
影响因子：
8.9
通讯作者：
Quint JK
中科院分区：
文献类型：
--
作者：
MacRae C;Whittaker H;Mukherjee M;Daines L;Morgan A;Iwundu C;Alsallakh M;Vasileiou E;O'Rourke E;Williams AT;Stone PW;Sheikh A;Quint JK
电子健康记录 (EHR) 数据库提供了与医疗保健提供者互动的丰富纵向数据，可用于推进呼吸系统疾病的研究。然而，由于这些数据主要是为了支持医疗保健服务而收集的，因此临床编码可能不一致，从而导致将这些数据用于研究目的存在固有的挑战。我们系统地搜索了现有的国际文献和英国代码存储库，根据之前的搜索查找 2018 年 1 月以来的哮喘呼吸系统疾病代码列表，以及 2020 年 1 月以来的慢性阻塞性肺疾病和呼吸道感染的呼吸系统疾病代码列表。 Medline 使用文章列表中提供的关键术语进行搜索。检查全文文章、补充文件和参考列表中的代码列表，并搜索代码列表存储库。开发了一种可重复的代码列表创建方法，并根据多学科专家意见和之前发表的文献为每种疾病创建了推荐列表。 Medline 搜索返回了 1126 篇哮喘文章、70 篇 COPD 文章和 90 篇呼吸道感染文章，其中包含代码列表的比例分别为 3%、22% 和 5%。存储库搜索返回了 12 个哮喘、23 个 COPD 和 64 个呼吸道感染代码列表。我们系统地编制了呼吸系统疾病代码列表，并从这些派生的推荐列表中供研究人员使用，以找到最新且相关的呼吸系统疾病代码列表，这些代码列表可以根据个别研究问题进行定制。很少有发表的论文包含代码列表，并且即使在回答类似的研究问题时也使用已发表的不同代码列表。尽管已经取得了一些进展，但使用常规数据研究呼吸系统疾病的研究仍需要更大的一致性和透明度。
Electronic health record (EHR) databases provide rich, longitudinal data on interactions with healthcare providers and can be used to advance research into respiratory conditions. However, since these data are primarily collected to support health care delivery, clinical coding can be inconsistent, resulting in inherent challenges in using these data for research purposes. We systematically searched existing international literature and UK code repositories to find respiratory disease codelists for asthma from January 2018, and chronic obstructive pulmonary disease and respiratory tract infections from January 2020, based on prior searches. Medline searches using key terms provided in article lists. Full-text articles, supplementary files, and reference lists were examined for codelists, and codelists repositories were searched. A reproducible methodology for codelists creation was developed with recommended lists for each disease created based on multidisciplinary expert opinion and previously published literature. Medline searches returned 1126 asthma articles, 70 COPD articles, and 90 respiratory infection articles, with 3%, 22% and 5% including codelists, respectively. Repository searching returned 12 asthma, 23 COPD, and 64 respiratory infection codelists. We have systematically compiled respiratory disease codelists and from these derived recommended lists for use by researchers to find the most up-to-date and relevant respiratory disease codelists that can be tailored to individual research questions. Few published papers include codelists, and where published diverse codelists were used, even when answering similar research questions. Whilst some advances have been made, greater consistency and transparency across studies using routine data to study respiratory diseases are needed.