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请勿打扰:使用可穿戴生物传感器技术将血液系统恶性肿瘤患者的睡眠干扰降至最低。

Do not disturb: Use of wearable biosensor technology to minimize sleep disruptions in patients with hematological malignancies.

作者信息

Iannucci Natalie D, Chu Charlene H

机构信息

MN Student, Lawrence Bloomberg Faculty of Nursing, University of Toronto, Sunnybrook Health Sciences Centre, Toronto, ON.

Assistant Professor, Lawrence Bloomberg Faculty of Nursing, University of Toronto; Cross-appointed, Rehabilitation Sciences Institute, Toronto, ON; Cross-appointed, Institute for Life Course and Aging, Toronto, ON; KITE-Toronto Rehab, University Health Network, Toronto, ON.

出版信息

Can Oncol Nurs J. 2025 Jan 1;35(1):145-151. eCollection 2025 Winter.

Abstract

Patients with hematological malignancies frequently suffer from sleep disruptions during hospitalization, primarily due to frequent night-time interventions such as vital signs monitoring, which occurs at least three times during the night shift. Consequently, the sleep of these patients is interrupted each time a nurse checks their vitals. Minimizing disturbances to sleep in cancer patients is essential, as poor sleep quality has been associated with poorer responses to treatment and reduced overall survival (Strøm et al., 2022). This paper proposes the use of wearable biosensor technology over night in the inpatient setting to monitor patients' vital signs remotely and, thus, minimize disruptions to their sleep. The importance of improving sleep in this patient population and the potential for use of this technology necessitates further research on the analytical and clinical validity of wearable biosensors for use with hospitalized malignant hematology patients. The paper concludes with future recommendations and implications of this technology for the nursing profession.

摘要

血液系统恶性肿瘤患者在住院期间经常遭受睡眠干扰,主要原因是频繁的夜间干预,如生命体征监测,这种监测在夜班期间至少进行三次。因此,每当护士检查患者生命体征时,他们的睡眠就会被打断。尽量减少癌症患者睡眠干扰至关重要,因为睡眠质量差与治疗反应较差和总生存期缩短有关(斯特罗姆等人,2022年)。本文建议在住院环境中夜间使用可穿戴生物传感器技术,以远程监测患者的生命体征,从而尽量减少对其睡眠的干扰。改善这一患者群体睡眠的重要性以及使用该技术的潜力,有必要进一步研究可穿戴生物传感器用于住院恶性血液病患者的分析和临床有效性。本文最后给出了该技术对护理专业的未来建议和影响。

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