Department of Primary Care and Public Health, Imperial College London, London, UK.
Department of Hospital Services, Federal Ministry of Health, Abuja, Nigeria.
BMJ Open. 2019 Mar 5;9(3):e024722. doi: 10.1136/bmjopen-2018-024722.
Electronic health (eHealth) applications have become a very large repository of health information which informs critical decisions relating to the diagnosis, treatment and prognosis of patients. Poor information quality (IQ) within eHealth may compromise patient safety. Evaluation of IQ in eHealth is therefore necessary to promote patient safety. An IQ framework specifies what aspects of information to assess and how to conduct the assessment. This systematic review aims to identify dimensions within existing IQ frameworks in eHealth and develop a new IQ framework for the assessment of eHealth.
We will search Embase, Medline, PubMed, Cumulative Index to Nursing and Allied Health Literature, Maternity and Infant Care, PsycINFO (American Psychological Association), Global Health, Scopus, ProQuest Dissertations and Theses Global, Health Management Information Consortium and reference lists of relevant publications for articles published in English until November 2018. Studies will be selected by two independent reviewers based on prespecified eligibility criteria. Two reviewers will independently extract data in each eligible study using a prepiloted Microsoft Excel data extraction form. Thematic synthesis will be employed to define IQ dimensions and develop a new IQ framework for eHealth.
Ethical approval is not required for this systematic review as primary data will not be collected. The result of the review will be disseminated through publication in an academic journal and scientific conferences.
CRD42018097142.
电子健康(eHealth)应用程序已经成为一个非常庞大的健康信息库,为与患者诊断、治疗和预后相关的关键决策提供信息。eHealth 中的信息质量(IQ)差可能会危及患者安全。因此,评估 eHealth 中的 IQ 对于促进患者安全是必要的。IQ 框架指定了要评估信息的哪些方面以及如何进行评估。本系统评价旨在确定 eHealth 中现有 IQ 框架内的维度,并为 eHealth 的评估开发一个新的 IQ 框架。
我们将在截止到 2018 年 11 月的英语出版物中,在 Embase、Medline、PubMed、Cumulative Index to Nursing and Allied Health Literature、Maternity and Infant Care、PsycINFO(美国心理协会)、Global Health、Scopus、ProQuest Dissertations and Theses Global、Health Management Information Consortium 以及相关出版物的参考文献中搜索文章。根据预先确定的入选标准,两名独立评审员将对研究进行选择。两名评审员将使用预编程的 Microsoft Excel 数据提取表格,在每项合格研究中独立提取数据。将采用主题综合法来定义 IQ 维度并为 eHealth 开发一个新的 IQ 框架。
由于本系统评价不收集原始数据,因此不需要伦理批准。审查结果将通过发表在学术期刊和科学会议上进行传播。
PROSPERO 注册号:CRD42018097142。