Walzer Stefan, Schön Isabel, Pfeil Johanna, Klemm Sam, Ziegler Sven, Schmoor Claudia, Kunze Christophe
Care and Technology Lab, Furtwangen University, Furtwangen im Schwarzwald, Germany.
AGP Social Research, FIVE e.V., Freiburg, Germany.
JMIR Form Res. 2025 Feb 5;9:e64444. doi: 10.2196/64444.
Technology that detects early when a patient at risk of falling leaves the bed can support nurses in acute care hospitals.
To develop a better understanding of nurses' perspectives and experiences with a bed-exit information system (BES) in an acute care hospital setting.
BES was implemented on 3 wards of a university medical center. Nurses completed 2 online surveys at each time point (P0 and P1) and participated in focus groups before (P0) and after (P1) implementation. Additional patient data were collected. Descriptive statistics summarized the survey results, while content analysis was applied to focus group data. Patient rates and adverse events in both phases were compared using negative binomial models. Reporting of this study adhered to the GRAMMS checklist.
A total of 30 questionnaires were completed at P0 (30/72, 42%) and 24 at P1 (24/71, 33%). Of the participants, 15 completed both questionnaires (complete cases). At P1, 64% (9/14) of participants agreed that their perceived workload and strain in caring for patients with cognitive impairment was reduced by the use of the BES. The adverse event rate per patient per day was reduced by a factor of 0.61 (95% CI 0.393-0.955; P=.03). In addition, 11 nurses participated in 4 focus groups before and after the intervention. Participants found it challenging to operationalize the use of the BES due to the heterogeneity of care settings, but certain behaviors of patients with cognitive impairment were recognized as indicating a need for intervention. Negative experiences included information overload and alarm fatigue, leading to occasional removal of the system.
While BES provides some support in managing patients with cognitive impairment, its impact remains limited to specific scenarios and does not significantly reduce nurses' workload or strain. Our findings highlight the need to manage expectations of BES performance to ensure alignment between expected and actual benefits. To improve BES effectiveness and long-term implementation, future research should consider both objective measures of patient care and subjective factors such as nurse experience, structural conditions, and technical specifications. Improving information mechanisms within call systems could help reduce alarm fatigue and increase perceived usefulness. Overall, successful integration of BES in acute care settings will require close collaboration with nursing staff to drive meaningful healthcare innovation and ensure that the technology meets the needs of both patients and nurses.
German Register for Clinical Studies DRKS00021720; https://drks.de/search/de/trial/DRKS00021720.
能够在有跌倒风险的患者离开病床时早期进行检测的技术,可为急症医院的护士提供支持。
更好地了解急症医院环境中护士对床位离开信息系统(BES)的看法和体验。
在一所大学医学中心的3个病房实施了BES。护士在每个时间点(P0和P1)完成2次在线调查,并在实施前(P0)和实施后(P1)参与焦点小组。收集了额外的患者数据。描述性统计总结了调查结果,同时对焦点小组数据进行了内容分析。使用负二项式模型比较两个阶段的患者发生率和不良事件。本研究的报告遵循GRAMMS清单。
在P0时共完成30份问卷(30/72,42%),在P1时完成24份(24/71,33%)。参与者中,15人完成了两份问卷(完整病例)。在P1时,64%(9/14)的参与者同意使用BES减少了他们在护理认知障碍患者时感知到的工作量和压力。每位患者每天的不良事件发生率降低了0.61倍(95%CI 0.393 - 0.955;P = 0.03)。此外,11名护士在干预前后参加了4个焦点小组。由于护理环境的异质性,参与者发现实施BES具有挑战性,但认知障碍患者的某些行为被认为表明需要进行干预。负面体验包括信息过载和警报疲劳,导致偶尔移除该系统。
虽然BES在管理认知障碍患者方面提供了一些支持,但其影响仍局限于特定场景,并未显著减轻护士的工作量或压力。我们的研究结果强调需要管理对BES性能的期望,以确保预期效益与实际效益一致。为提高BES的有效性和长期实施效果,未来研究应考虑患者护理的客观指标以及护士经验、结构条件和技术规格等主观因素。改善呼叫系统内的信息机制有助于减少警报疲劳并提高感知有用性。总体而言,要在急症护理环境中成功整合BES,需要与护理人员密切合作,以推动有意义的医疗创新,并确保该技术满足患者和护士的需求。
德国临床研究注册中心DRKS00021720;https://drks.de/search/de/trial/DRKS00021720 。