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评估社区医院数字疼痛警报系统的益处。

Assessing the Benefit of a Digital Pain Alert System in a Community Hospital.

作者信息

Grosman-Rimon Liza, Jorgoni Linda, Casey Jane, Tory Susan, Kumbhare Dinesh, Solanki Jhanvi, Collins Barbara E, Wegier Pete

机构信息

Humber River Health, Research Institute, Toronto, Canada.

Tampa General Hospital, Tampa, FL, USA.

出版信息

J Pain Res. 2025 Jan 25;18:429-439. doi: 10.2147/JPR.S477670. eCollection 2025.

Abstract

INTRODUCTION

In the last decade, clinical alert systems were developed for clinical use, including patient deterioration and other urgent clinical situations. However, investigations focusing on digital pain alert systems to assess and manage pain on time in in-hospital patients are scarce. The objective of the study was to assess the implementation of digital pain alerts in the various departments of a community hospital.

METHODS

Administrative data from the year 2020 to 2023 were collected. Only data from cases when pain alert was activated were included. Data included pain alert activation frequency, pain alert response duration (time from pain alert activation to alert stop when medication was administered), the department from which the pain alert was activated.

RESULTS

There was a steady significant decrease in the mean pain alert response duration over time from 2020 to 2023. The department with the shortest pain alert response duration was the Department of Surgery, and Cardiology (252.76 ± 4.712). The longest time delay was in the ICU (463.27±2.73 min) and at the Mental Health Department (440.59± 5.46 min) (p < 0.01). The pain alert response duration gradually decreased from 2020 to 2023, with decreases from the first year in all of the units/departments, except for the ICU. NPS scores at the start of the alert to 30 minutes after alert stop decreased significantly.

CONCLUSION

Management of pain improved over time across the hospital, and in most of the departments, suggesting that with experience, digital pain alert systems have the potential to improve pain management by providing timely pain intervention.

摘要

引言

在过去十年中,临床警报系统已开发用于临床,包括患者病情恶化和其他紧急临床情况。然而,针对数字疼痛警报系统以评估和及时管理住院患者疼痛的研究却很少。本研究的目的是评估社区医院各科室数字疼痛警报的实施情况。

方法

收集了2020年至2023年的行政数据。仅纳入疼痛警报激活时的病例数据。数据包括疼痛警报激活频率、疼痛警报响应持续时间(从疼痛警报激活到给药时警报停止的时间)、激活疼痛警报的科室。

结果

从2020年到2023年,平均疼痛警报响应持续时间随时间稳步显著下降。疼痛警报响应持续时间最短的科室是外科和心脏病科(252.76±4.712)。延迟时间最长的是重症监护病房(463.27±2.73分钟)和精神科(440.59±5.46分钟)(p<0.01)。从2020年到2023年,疼痛警报响应持续时间逐渐下降,除重症监护病房外,所有科室/部门从第一年起均有下降。警报开始时到警报停止后30分钟的NPS评分显著下降。

结论

随着时间的推移,全院各科室的疼痛管理都有所改善,这表明随着经验的积累,数字疼痛警报系统有可能通过提供及时的疼痛干预来改善疼痛管理。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8921/11776413/9de6376d88ec/JPR-18-429-g0001.jpg

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本文引用的文献

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4
Automatic detection of pain using machine learning.
Front Pain Res (Lausanne). 2022 Nov 10;3:1044518. doi: 10.3389/fpain.2022.1044518. eCollection 2022.
5
Effectiveness of automated alerting system compared to usual care for the management of sepsis.
NPJ Digit Med. 2022 Jul 19;5(1):101. doi: 10.1038/s41746-022-00650-5.
6
Clinical factors and pre-surgical depression scores predict pain intensity in cardiac surgery patients.
BMC Anesthesiol. 2022 Jul 4;22(1):204. doi: 10.1186/s12871-022-01740-3.
8
Wearable electronic devices for chronic pain intensity assessment: A systematic review.
Pain Pract. 2021 Nov;21(8):955-965. doi: 10.1111/papr.13047. Epub 2021 Jun 26.
9
Pain and Stress Detection Using Wearable Sensors and Devices-A Review.
Sensors (Basel). 2021 Feb 3;21(4):1030. doi: 10.3390/s21041030.
10
Use of High-Reliability Principles in the Evolution of a Hospital Command Centre.
Healthc Q. 2021 Jan;23(4):46-52. doi: 10.12927/hcq.2020.26393.

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