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护士轮班特定感知工作量的重复评估和预测因素。

Repeated assessments and predictors of nurses' shift-specific perceived workload.

机构信息

Institute of Nursing Science, University of Basel, Basel, Switzerland.

School of Geography and Sustainable Development, University of St Andrews, St Andrews, Scotland.

出版信息

Nurs Forum. 2022 Nov;57(6):1026-1033. doi: 10.1111/nuf.12776. Epub 2022 Jul 5.

Abstract

BACKGROUND

Workload perception is of interest to researchers and policymakers as it captures subjective assessments of nurses' workload which has implications for staffing and patient outcomes.

AIMS

We aimed to describe repeated assessments of nurses' perceived workload among registered nurses (RNs) in day and night shifts and to examine the association of perceived workload with workdays, units, and nurse-staffing.

METHODS

Repeated data on the indictors of interest were collected from 90 RNs across 91 shifts in a Lebanese acute-care hospital. Perceived workload was assessed using the NASA-Task-Load Index (NASA-TLX). Linear mixed-effect models were used for analysis.

RESULTS

Mean perceived workload was high reaching 6.63 (95% confidence interval [CI] = 6.34, 6.92) in day and 5.90 (95% CI = 5.43, 6.36) in night shifts. In mixed-effect models, perceived workload was lower on weekends/holidays as compared to weekdays in day (ß = -.32; 95% CI = -0.53, -0.12) and night (ß = -.46; 95% CI = -0.85, -0.07) shifts. Higher perceived workload (ß = .19; 95% CI = 0.04, 0.33) was associated with higher patient-to-nurse ratio in the day but not night shifts.

CONCLUSION

Repeated workload assessments support the presence of elevated perceived workload among RNs which is related to weekdays and higher patient-to-nurse ratio. Future investigations would benefit from better characterization of workload particularities to address perceived burden and improve organizational and management decisions.

摘要

背景

工作负荷感知对于研究人员和政策制定者来说很有意义,因为它可以捕捉护士对工作负荷的主观评估,这对人员配置和患者结果有影响。

目的

我们旨在描述注册护士(RN)在白班和夜班中反复评估的感知工作负荷,并研究感知工作负荷与工作日、单位和护士人员配备的关系。

方法

从黎巴嫩一家急性护理医院的 91 个班次中的 90 名 RN 收集了有关指标的重复数据。使用 NASA 任务负荷指数(NASA-TLX)评估感知工作负荷。使用线性混合效应模型进行分析。

结果

平均感知工作负荷较高,白班达到 6.63(95%置信区间[CI] = 6.34,6.92),夜班达到 5.90(95% CI = 5.43,6.36)。在混合效应模型中,与工作日相比,周末/节假日的感知工作负荷较低,白班(β= -0.32;95% CI = -0.53,-0.12)和夜班(β= -0.46;95% CI = -0.85,-0.07)。白班中较高的感知工作量(β= 0.19;95% CI = 0.04,0.33)与较高的患者与护士比例相关,但夜班则不然。

结论

反复评估工作负荷支持 RN 中存在较高的感知工作负荷,这与工作日和较高的患者与护士比例有关。未来的研究将受益于更好地描述工作负荷的特点,以解决感知负担问题,并改善组织和管理决策。

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