宏观和微观的人体工程学结果在医疗保健:解开病人处理性能和安全气候之间的关系

M. Fray, P. Waterson, C. Munro
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引用次数: 3

摘要

在医疗保健组织中,围绕患者处理活动的风险管理仍然是一个重要因素。已经进行了大量的研究,以调查实物转移和设备提供的最佳做法,但对这一问题采用组织系统方法的研究较少。在本文中,我们比较了评估安全气候和患者处理安全绩效的两种方法,并认为对两者之间关系的多层次(介人体工程学)解释提供了对整个系统安全性的见解。技术摘要背景:Karsh等人(2014)提出了一个开展跨层次人体工程学调查的模型,该模型澄清了任何组织调查中微观、宏观和中观层面的因素。越来越多的研究机构对患者处理风险的管理并没有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的六个急症病房被用来探索病人处理之间的关系,作为一个复杂的社会技术医疗保健系统的一部分,和安全气候。使用患者处理干预和安全气候调查中的风险突出工具收集数据,并使用描述性统计和Spearman秩相关进行分析。结果:各种结果突出了安全气候和患者处理风险方面的优势和劣势。患者处理干预中风险突出工具的安全气候评分与安全气候调查总体平均值之间存在显著相关性。结论:这些结果表明,各种测量方法之间的得分差异表明,可能需要更广泛的数据来最好地代表该职业环境中的安全气候测量。
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Macro and Micro Ergonomic Outcomes in Healthcare: Unraveling the Relationship Between Patient Handling Performance and Safety Climate
OCCUPATIONAL APPLICATIONS The management of risks surrounding patient handling activities continues to be an important factor in healthcare organizations. A great deal of research has been undertaken to investigate the best practices for physical transfers and equipment provision, yet there is less research adopting an organizational systems approach to this problem. In this article we compare two methods for assessing safety climate and patient handling safety performance and argue that a multi-level (mesoergonomic) interpretation of the relationship between the two affords insights into the safety of the system as a whole. TECHNICAL ABSTRACT 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.
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