Sensor-based prevention of falls and pressure ulcers: A scoping review

IF 3.7 2区 医学 Q2 COMPUTER SCIENCE, INFORMATION SYSTEMS
Anna Winkler , Martin Pallauf , Simon Krutter , Patrick Kutschar , Jürgen Osterbrink , Nadja Nestler
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引用次数: 0

Abstract

Purpose

Falls and pressure ulcers are serious complications impacting care quality in nursing homes. Sensor technologies can help prevent these adverse events through continuous monitoring and timely intervention. This scoping review, following JBI guidelines, evaluated the effects of sensor-based fall and pressure ulcer prevention in long-term care and the experiences of patients and healthcare professionals.

Methods

The review included primary studies, reviews, and protocols published from 2014 to 2023. Screening, data extraction, and quality appraisal were conducted independently by two authors using MMAT and JBI tools.

Results

A total of 31 studies were included: 22 on fall prevention, eight on pressure ulcer prevention, and one addressing both. User-based sensors were effective in preventing both falls and pressure ulcers. Accelerometers enhanced sensitivity for fall detection and adherence to repositioning protocols. Context-based sensors, such as Doppler, webcams, and Kinect, showed variable precision and false alarm rates, while range sensors demonstrated high precision. Context-based accelerometers were promising for pressure ulcer prevention, but pressure sensors provided inconsistent data. Additional manual assessments enhanced sensor data accuracy. Patients preferred non-obtrusive, user-friendly sensors, while healthcare professionals emphasized the need for seamless integration into care routines. Both groups valued real-time monitoring and alert capabilities, though privacy and data security remained concerns.

Conclusions

Sensor technologies show potential in enhancing patient safety and care quality in long-term care, though further refinement is needed for context-based sensors in pressure ulcer prevention. Integrating these technologies with standard care can improve outcomes, but addressing privacy and ethical issues is essential for broader acceptance.
基于传感器的跌倒和压疮预防:范围综述
目的:跌倒和压疮是影响养老院护理质量的严重并发症。传感器技术可以通过持续监测和及时干预来帮助预防这些不良事件。根据JBI指南,本综述评估了基于传感器的跌倒和压疮预防在长期护理中的效果以及患者和医疗保健专业人员的经验。方法纳入2014 - 2023年发表的初步研究、综述和方案。筛选、数据提取和质量评估由两位作者使用MMAT和JBI工具独立进行。结果共纳入31项研究:22项研究预防跌倒,8项研究预防压疮,1项研究两者兼顾。基于用户的传感器在预防跌倒和压疮方面都很有效。加速度计提高了跌倒检测的灵敏度,并遵守了重新定位协议。基于环境的传感器,如多普勒、网络摄像头和Kinect,显示出可变的精度和误报率,而距离传感器则显示出高精度。基于情境的加速度计有望用于预防压疮,但压力传感器提供的数据不一致。额外的手动评估提高了传感器数据的准确性。患者更喜欢非突兀的、用户友好的传感器,而医疗保健专业人员强调需要无缝集成到护理程序中。这两个组织都重视实时监控和警报功能,尽管隐私和数据安全仍然令人担忧。结论传感器技术在长期护理中具有提高患者安全和护理质量的潜力,但基于情境的传感器在压疮预防方面仍需进一步完善。将这些技术与标准护理相结合可以改善结果,但解决隐私和道德问题对于更广泛的接受至关重要。
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来源期刊
International Journal of Medical Informatics
International Journal of Medical Informatics 医学-计算机:信息系统
CiteScore
8.90
自引率
4.10%
发文量
217
审稿时长
42 days
期刊介绍: International Journal of Medical Informatics provides an international medium for dissemination of original results and interpretative reviews concerning the field of medical informatics. The Journal emphasizes the evaluation of systems in healthcare settings. The scope of journal covers: Information systems, including national or international registration systems, hospital information systems, departmental and/or physician''s office systems, document handling systems, electronic medical record systems, standardization, systems integration etc.; Computer-aided medical decision support systems using heuristic, algorithmic and/or statistical methods as exemplified in decision theory, protocol development, artificial intelligence, etc. Educational computer based programs pertaining to medical informatics or medicine in general; Organizational, economic, social, clinical impact, ethical and cost-benefit aspects of IT applications in health care.
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