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Evaluation of interventions to improve electronic health record documentation within the inpatient setting: a protocol for a systematic review

机译:评估在住院环境中改善电子健康记录文档的干预措施:系统审查的方案

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Electronic health records (EHRs) are increasing in popularity across national and international healthcare systems. Despite their augmented availability and use, the quality of electronic health records is problematic. There are various reasons for poor documentation quality within the EHR, and efforts have been made to address these areas. Previous systematic reviews have assessed intervention effectiveness within the outpatient setting or within paper documentation. This systematic review aims to assess the effectiveness of different interventions seeking to improve EHR documentation within an inpatient setting. We will employ a comprehensive search strategy that encompasses four distinct themes: EHR, documentation, interventions, and study design. Four databases (MEDLINE, EMBASE, CENTRAL, and CINAHL) will be searched along with an in-depth examination of the grey literature and reference lists of relevant articles. A customized hybrid study quality assessment tool has been designed, integrating components of the Downs and Black and Newcastle-Ottawa Scales, into a REDCap data capture form to facilitate data extraction and analysis. Given the predicted high heterogeneity between studies, it may not be possible to standardize data for a quantitative comparison and meta-analysis. Thus, data will be synthesized in a narrative, semi-quantitative manner. This review will summarize the current level of evidence on the effectiveness of interventions implemented to improve inpatient EHR documentation, which could ultimately enhance data quality in administrative health databases.
机译:电子健康记录(EHR)在国家和国际医疗保健系统中越来越受欢迎。尽管增加了可用性和使用范围,但电子健康记录的质量还是有问题的。电子病历中文件质量差的原因有多种,因此已经做出努力以解决这些问题。先前的系统评价已评估了门诊环境或书面文件中的干预效果。该系统评价旨在评估试图改善住院环境中EHR文档的各种干预措施的有效性。我们将采用涵盖四个不同主题的全面搜索策略:EHR,文档,干预和研究设计。将搜索四个数据库(MEDLINE,EMBASE,CENTRAL和CINAHL),并对灰色文献和相关文章的参考文献进行深入研究。设计了一种定制的混合研究质量评估工具,将Downs和Black和Newcastle-Ottawa量表的组成部分集成到REDCap数据捕获表单中,以方便数据提取和分析。鉴于研究之间预测的高度异质性,可能无法将数据标准化以进行定量比较和荟萃分析。因此,数据将以叙述,半定量的方式合成。这篇综述将总结目前为改善住院EHR文档所采取的干预措施有效性的证据水平,这最终可以提高行政健康数据库中的数据质量。

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