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Multi-level factors affecting timely electronic documentation of medication administration: a hierarchical linear modeling approach

机译:多层次影响因素及时的电子药物管理文档:一个分层线性建模方法

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This study applies a systematic hierarchical linear modeling approach to identify factors impacting timely documentation of medication administration on electronic medication administration record (eMAR) systems. Delayed documentation of medications poses significant risks to patient safety. Multilevel quantitative data were collected from a large urban hospital system, spanning the non-physician clinician workforce across 27 patient-care units. Data suggests the overall perception of psychological safety on one's unit was a significant predictor of individual clinicians' timely eMAR documentation. The impact of each clinician's personal psychological safety was nuanced by his/her patient-care unit and type of hospital. Other characteristics of the provider's patient-care unit were also relevant. Thus, even though timely eMAR documentation is an individual-level activity, it is predicted by characteristics beyond complete control of the individual. We illustrate the value of applying systematic hierarchical linear modeling approach to better illuminate the problem of consistently achieving timely eMAR documentation across all providers.
机译:本研究应用系统层次线性建模方法确定因素影响药物及时文档政府在电子药物管理记录(eMAR)系统。药物提出了重要的文档病人安全风险。数据收集从一个大型城市医院系统,生成非医师的临床医生劳动力在27个病人护理单元。表明心理的整体感知安全的单位是一个重要的预测个别医生的及时eMAR文档。个人心理安全是微妙的他/她的病人护理单元和类型的医院。其他提供者的特点病人护理单元也有关。虽然是一个及时eMAR文档个体层面的活动,它是预测的除了完全控制特征个人。系统分层线性建模方法为了更好地阐明一致的问题实现及时eMAR文档所有提供者。

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