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辅助机器人在临床护理中的潜力:德国巴伐利亚农村诊所护士运输任务的观察性研究

Potential of Assistive Robots in Clinical Nursing: An Observational Study of Nurses' Transportation Tasks in Rural Clinics of Bavaria, Germany.

作者信息

Sommer Domenic, Kasbauer Jakob, Jakob Dietmar, Schmidt Sebastian, Wahl Florian

机构信息

Technology Campus Grafenau, Deggendorf Institute of Technology, 94481 Grafenau, Germany.

出版信息

Nurs Rep. 2024 Jan 24;14(1):267-286. doi: 10.3390/nursrep14010021.

Abstract

Transportation tasks in nursing are common, often overlooked, and directly impact patient care time in the context of staff shortages and an aging society. Current studies lack a specific focus on transportation tasks, a gap our research aims to fill. By providing detailed data on transportation needs in nursing, our study establishes a crucial foundation for the development and integration of assistive robots in clinical settings. In July and September 2023, we conducted weekly observations of nurses to assess clinical transportation needs. We aim to understand the economic impact and the methods nurses use for transportation tasks. We conducted a participant observation using a standardized app-based form over a seven-day observation period in two rural clinics. N = 1830 transports were made by nurses and examined by descriptive analysis. Non-medical supplies account for 27.05% (n = 495) of all transports, followed by medical supplies at 17.32% (n = 317), pharmacotherapy at 14.10% (n = 258) and other other categories like meals or drinks contributing 12.68% (n = 232). Most transports had a factual transport time of under a minute, with patient transport and lab samples displaying more variability. In total, 77.15% of all transports were made by hand. Requirements to collect items or connect transports with patient care were included in 5% of all transports. Our economic evaluation highlighted meals as the most costly transport, with 9596.16 € per year in the observed clinics. Budget-friendly robots would amortize these costs over one year by transporting meals. We support understanding nurses' transportation needs via further research on assistive robots to validate our findings and determine the feasibility of transport robots.

摘要

护理工作中的转运任务很常见,却常常被忽视,并且在人员短缺和社会老龄化的背景下直接影响患者护理时间。目前的研究缺乏对转运任务的具体关注,而这正是我们的研究所要填补的空白。通过提供护理中转运需求的详细数据,我们的研究为临床环境中辅助机器人的开发与整合奠定了关键基础。2023年7月和9月,我们每周对护士进行观察,以评估临床转运需求。我们旨在了解经济影响以及护士用于转运任务的方法。我们在两家乡村诊所进行了为期七天的观察期,使用基于应用程序的标准化表格进行参与式观察。护士进行了1830次转运,并通过描述性分析进行研究。非医疗用品占所有转运的27.05%(n = 495),其次是医疗用品,占17.32%(n = 317),药物治疗占14.10%(n = 258),餐食或饮料等其他类别占12.68%(n = 232)。大多数转运的实际用时不到一分钟,患者转运和实验室样本的用时更具变异性。总体而言,77.15%的转运是手动完成的。5%的转运包括收集物品或将转运与患者护理相连接的要求。我们的经济评估突出显示餐食是最昂贵的转运项目,在所观察的诊所中每年花费9596.16欧元。经济实惠的机器人通过运送餐食可在一年内摊销这些成本。我们支持通过对辅助机器人的进一步研究来了解护士的转运需求,以验证我们的研究结果并确定转运机器人的可行性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/320e/10885045/d5f641d94321/nursrep-14-00021-g0A1.jpg

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