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综合医院病房内及不同病房生命体征记录的时间模式。

Temporal patterns in vital sign recording within and across general hospital wards.

作者信息

Noë Beryl, Bullock Alison, Frankish John, Turner Liam D

机构信息

School of Computer Science and Informatics, Cardiff University, UK.

Cardiff Unit for Research and Evaluation in Medical and Dental Education, School of Social Sciences, Cardiff University, UK.

出版信息

Resusc Plus. 2022 May 21;10:100247. doi: 10.1016/j.resplu.2022.100247. eCollection 2022 Jun.

Abstract

INTRODUCTION

The use of mobile devices on hospital wards to record patient vital signs and Early Warning Scores provides opportunity for secondary analysis of the data collected. This research investigated how such analysis can contribute to the understanding of the complexities of managing clinical care in hospital environments.

METHODS

The influence of ward type and the distribution of patient observation intervals was evaluated in relation to the timing of vital signs observation patterns in data collected from eight adult in-patient wards over a 12-month period. Actual and projected observation times were compared across patients with higher and lower National Early Warning Scores (NEWS).

RESULTS

Both ward type and the distribution of patient observation intervals were significant predictors of temporal observation patterns. Observation patterns showed evidence of grouping of observation recordings. This was, however, not found for observations of patients with higher NEWS scores (3 or more).

CONCLUSIONS

Secondary analysis of vital signs observation data can reveal insights into how ward operate. The patterns of observation recordings within a ward are a reflection of ward type and the distribution of patient observation intervals. The grouping of observation recordings of patients with low NEWS (<3) result in late or early observations to fit activity peaks characteristic of the ward culture.

摘要

引言

在医院病房使用移动设备记录患者生命体征和早期预警评分,为收集到的数据进行二次分析提供了机会。本研究调查了这种分析如何有助于理解医院环境中临床护理管理的复杂性。

方法

在12个月的时间里,从8个成人住院病房收集的数据中,评估病房类型和患者观察间隔分布对生命体征观察模式时间的影响。比较了国家早期预警评分(NEWS)较高和较低的患者的实际和预计观察时间。

结果

病房类型和患者观察间隔分布都是时间观察模式的重要预测因素。观察模式显示出观察记录分组的证据。然而,在NEWS评分较高(3分或更高)的患者观察中未发现这种情况。

结论

生命体征观察数据的二次分析可以揭示病房运作的见解。病房内的观察记录模式反映了病房类型和患者观察间隔的分布。NEWS评分低(<3)的患者观察记录分组导致观察时间过晚或过早,以适应病房文化的活动高峰。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4206/9127396/475f594aa052/gr1.jpg

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