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首页> 外文期刊>IIE Transactions on Occupational Ergonomics and Human Factors >Macro and Micro Ergonomic Outcomes in Healthcare: Unraveling the Relationship Between Patient Handling Performance and Safety Climate
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Macro and Micro Ergonomic Outcomes in Healthcare: Unraveling the Relationship Between Patient Handling Performance and Safety Climate

机译:医疗保健中的宏观和微观人机工程学成果:阐明患者处理性能与安全环境之间的关系

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Background: Karsh et al. ((2014)) proposed a model for developing cross-level ergonomics investigations, which clarified the inclusion of micro, macro, and meso level factors to any organizational investigation. The growing body of research into the management of patient handling risks has not adopted these multi-level organizational systems approaches. Purpose: In this article we explore the use of this model to create a clearer understanding of the healthcare specific activities that surround the management of patient handling functions within a neurological rehabilitation setting. Methods: Six acute medical wards in a large UK teaching hospital were used to explore the relationship between patient handling, as part of a complex socio-technical healthcare system, and safety climate. Data were collected using the Tool for Risk Outstanding in Patient Handling Interventions and Safety Climate Survey and analyzed using descriptive statistics and Spearman's Rank Correlation. Results: A variety of results highlighted strengths and weaknesses in safety climate and patient handling risks. Significant correlations were found between Tool for Risk Outstanding in Patient Handling Interventions Tool for Risk Outstanding in Patient Handling Interventions Safety Climate scores and the Safety Climate Survey Overall Mean. Conclusion: These results suggest that the differences between scores across a variety of measures indicate that a wider range of data may be required to best represent a measure of safety climate in this occupational setting.
机译:背景:Karsh等。 ((2014))提出了一个用于进行跨层次人体工程学研究的模型,该模型阐明了微观,宏观和中观层次因素被包括在任何组织调查中。对患者处理风险管理的研究越来越多,尚未采用这些多层次的组织系统方法。目的:在本文中,我们探索使用该模型来更清楚地了解神经康复环境中围绕患者处理功能管理的医疗保健特定活动。方法:在英国一家大型教学医院中,使用六个急诊病房来探讨作为复杂的社会技术医疗体系一部分的患者处理与安全环境之间的关系。使用“患者处理干预中未解决的风险工具”和“安全气候调查”收集数据,并使用描述性统计数据和Spearman等级相关性进行分析。结果:各种结果突出了安全气氛和患者处理风险方面的优势和劣势。在患者处置干预中未解决风险的工具与患者处置干预中未解决的风险的工具之间存在显着相关性。安全气候得分与安全气候调查总体平均数之间。结论:这些结果表明,各种措施的评分之间的差异表明,可能需要更广泛的数据才能最好地代表该职业环境中的安全气候措施。

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