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A retrospective cohort study of factors associated with severity of falls in hospital patients.医院患者跌倒严重程度相关因素的回顾性队列研究。
Sci Rep. 2022 Jul 18;12(1):12266. doi: 10.1038/s41598-022-16403-z.
2
Preventing falls with remote video monitoring.远程视频监控预防跌倒。
Nursing. 2022 Jul 1;52(7):47-49. doi: 10.1097/01.NURSE.0000832384.85335.43.
3
Latest Research Trends in Fall Detection and Prevention Using Machine Learning: A Systematic Review.基于机器学习的跌倒检测与预防的最新研究趋势:系统综述。
Sensors (Basel). 2021 Jul 29;21(15):5134. doi: 10.3390/s21155134.
4
Hospital Inpatient Falls across Clinical Departments.医院各临床科室住院患者跌倒情况。
Int J Environ Res Public Health. 2021 Aug 2;18(15):8167. doi: 10.3390/ijerph18158167.
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Identification of Factors Influencing the Adoption of Health Information Technology by Nurses Who Are Digitally Lagging: In-Depth Interview Study.识别影响数字化落后护士采用健康信息技术的因素:深度访谈研究。
J Med Internet Res. 2020 Aug 14;22(8):e15630. doi: 10.2196/15630.
6
Utilizing artificial intelligence for falls management in memory care.利用人工智能进行记忆护理中的跌倒管理。
Geriatr Nurs. 2020 Mar-Apr;41(2):194-195. doi: 10.1016/j.gerinurse.2020.03.011. Epub 2020 Mar 25.
7
Bed Moves, Ward Environment, Staff Perspectives and Falls for Older People with High Falls Risk in an Acute Hospital: A Mixed Methods Study.卧床移动、病房环境、医护人员观点与高跌倒风险的老年患者在急性医院的跌倒:一项混合方法研究。
Clin Interv Aging. 2019 Dec 18;14:2223-2237. doi: 10.2147/CIA.S211424. eCollection 2019.
8
Preventing Falls in Hospitalized Patients: State of the Science.预防住院患者跌倒:科学现状。
Clin Geriatr Med. 2019 May;35(2):273-283. doi: 10.1016/j.cger.2019.01.007. Epub 2019 Mar 1.
9
Outcomes of Patient-Engaged Video Surveillance on Falls and Other Adverse Events.患者参与的视频监控对跌倒和其他不良事件的结果。
Clin Geriatr Med. 2019 May;35(2):253-263. doi: 10.1016/j.cger.2019.01.005. Epub 2019 Mar 1.
10
Video Monitoring for Fall Prevention and Patient Safety: Process Evaluation and Improvement.用于预防跌倒和患者安全的视频监控:过程评估与改进
J Nurs Care Qual. 2019 Apr/Jun;34(2):145-150. doi: 10.1097/NCQ.0000000000000355.

使用视频监控预防夜间患者跌倒:临床评估。

Preventing Patient Falls Overnight Using Video Monitoring: A Clinical Evaluation.

机构信息

Directorate of Nursing & Midwifery, Western Health, 176 Furlong Road, St. Albans, VIC 3021, Australia.

School of Nursing and Midwifery, Deakin University, 1 Gheringhap St., Geelong, VIC 3220, Australia.

出版信息

Int J Environ Res Public Health. 2022 Oct 22;19(21):13735. doi: 10.3390/ijerph192113735.

DOI:10.3390/ijerph192113735
PMID:36360616
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9657748/
Abstract

Inpatient falls are devastating for patients and their families and an ongoing problem for healthcare providers worldwide. Inpatient falls overnight are particularly difficult to predict and prevent. The aim of this cohort study was to evaluate effectiveness of overnight portable video monitoring as an adjunct falls prevention strategy for high falls risk patients in inpatient clinical units. Over three months, three clinical inpatient wards were provided with baby monitor equipment to facilitate portable video monitoring. Portable video monitoring registers were completed nightly and nursing staff were invited to complete surveys (n = 31) to assess their experiences of using portable video monitoring. A total of 494 episodes of portable video monitoring were recorded over the three-month period, with clinical areas reporting a total of four inpatient falls from monitoring participants (0.8% of total portable video monitoring episodes). Overall, there was a statistically significant reduction in total inpatient falls overnight on the target wards. Surveyed nursing staff reported feeling better equipped to prevent falls and indicated they would like to continue using portable monitoring as a falls prevention strategy. This study provides evidence to support the use of portable video monitoring as an effective falls prevention strategy in the hospital environment.

摘要

住院患者跌倒对患者及其家庭来说是灾难性的,也是全球医疗保健提供者面临的一个持续问题。夜间住院患者跌倒尤其难以预测和预防。本队列研究的目的是评估夜间便携式视频监测作为住院临床科室高跌倒风险患者跌倒预防策略的有效性。在三个月内,为三个临床住院病房配备了婴儿监护设备,以方便进行便携式视频监测。每晚完成便携式视频监测记录,并邀请护理人员完成调查(n=31),以评估他们使用便携式视频监测的经验。在三个月期间共记录了 494 次便携式视频监测,临床区域报告了来自监测参与者的 4 例住院患者跌倒(占总便携式视频监测事件的 0.8%)。总体而言,目标病房夜间住院患者跌倒总数显著减少。接受调查的护理人员报告说,他们更有能力预防跌倒,并表示希望继续将便携式监测作为预防跌倒的策略。本研究为在医院环境中使用便携式视频监测作为有效的跌倒预防策略提供了证据支持。