Department of Public Health, School of Psychology & Public Health, 97586La Trobe University, Australia.
Health Inf Manag. 2021 Jan-May;50(1-2):9-12. doi: 10.1177/1833358320941190. Epub 2020 Jul 17.
: Coronavirus disease (COVID-19) caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has precipitated an unprecedented volume of medical research. Articles reporting two studies were recently retracted from prestigious journals for reasons including the (thus far) unverifiable provenance of data. This commentary adopts a health information management lens to focus on aspects of data in one of the studies (investigating the use of hydroxychloroquine or chloroquine with or without a macrolide for treatment of COVID-19). : Referencing the Australian context, the current article considers some of the study's reported hospital administrative and coded data categories within the context of Australian hospitals' health information management practices. It highlights potential risks associated with the collection and interpretation of 'big' health data. : This article identifies pitfalls that confront researchers undertaking multi-country studies and the need to consider country-specific: (i) collected administrative data items; (ii) health information-related ethical, legal and management policy constraints on the use of confidential hospital records and derived data; and (iii) differences in health classification systems and versions used in the coding of diagnoses and related procedures, interventions and health behaviours. : The article concludes that the inclusion of a qualified, senior Health Information Manager in research teams and on institutional Human Research Ethics Committees would help to prevent potential problems.
: 由严重急性呼吸系统综合症冠状病毒 2 型(SARS-CoV-2)引起的冠状病毒疾病(COVID-19)引发了前所未有的医学研究热潮。最近,由于数据来源(迄今为止)无法核实,两份发表在著名期刊上的研究报告被撤回。本评论采用健康信息管理视角,重点关注其中一项研究的数据方面(研究羟氯喹或氯喹联合或不联合大环内酯类药物治疗 COVID-19 的效果)。: 参考澳大利亚的情况,本文在澳大利亚医院健康信息管理实践的背景下,考虑了该研究报告的一些医院行政和编码数据类别。它强调了收集和解释“大数据”健康数据相关的潜在风险。: 本文指出了从事跨国研究的研究人员所面临的陷阱,需要考虑特定国家的因素:(i)收集的行政数据项;(ii)与使用机密医院记录和派生数据相关的健康信息伦理、法律和管理政策限制;以及(iii)在诊断和相关程序、干预措施和健康行为的编码中使用的健康分类系统和版本的差异。: 本文得出结论,在研究团队和机构人类研究伦理委员会中纳入有资质的高级健康信息经理,将有助于预防潜在问题。