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适应于大流行病的癌症信息过载量表的编制及评估护士和助产士的信息疫情水平。

Adaption of the Cancer Information Overload Scale for pandemics and assessment of infodemic levels among nurses and midwives.

机构信息

Centre for Research in Nursing and Health, St George Hospital, Kogarah, New South Wales.

Centre for Evidence Based Initiatives in Health Care: A Joanna Briggs Centre of Excellence, Wollongong, New South Wales.

出版信息

Int J Nurs Pract. 2023 Feb;29(1):e13055. doi: 10.1111/ijn.13055. Epub 2022 Apr 3.

Abstract

AIM

This study was conducted in three phases. Phase 1 aimed to adapt the Cancer Information Overload Scale and conduct content validity testing. Phase 2 aimed to conduct factorial validity testing of the scale. Phase 3 aimed to assess information overload and the sources of information used by nurses and midwives to keep up-to-date about COVID-19.

DESIGN

A cross-sectional survey of nurses and midwives working in a metropolitan Local Health District in Sydney, Australia, was conducted from May to June 2020.

METHODS

Adaptation of the Cancer Information Overload Scale and content validity of the modified scale (as the Pandemic Information Overload Scale) was undertaken by an expert panel comprising of senior nurses and researchers. Factorial validity and reliability of the Pandemic Information Overload Scale were evaluated using exploratory factor analyses using one subsample of the data. Using the second subsample of the data, information overload and sources of information used by nurses and midwives to keep up-to-date about COVID-19 were examined.

RESULTS

The Pandemic Information Overload Scale is a reliable and valid instrument for measuring information overload among nurses during a pandemic. Its internal consistency was high (α = 0.81, M = 3.84).

CONCLUSION

The 8-item PIO scale is a brief, reliable and psychometrically sound instrument for measuring nurses' and midwives' perceptions of information overload during COVID-19. Mean scores across this study indicated that participants were experiencing above average information overload. Implementing strategies to reduce this overload would optimize clinical decision making and promote patient safety.

摘要

目的

本研究分三个阶段进行。第 1 阶段旨在改编癌症信息过载量表并进行内容效度检验。第 2 阶段旨在对该量表进行因子有效性检验。第 3 阶段旨在评估护士和助产士的信息过载情况以及用于了解 COVID-19 的信息来源。

设计

2020 年 5 月至 6 月,对澳大利亚悉尼大都市区地方卫生区工作的护士和助产士进行了横断面调查。

方法

由资深护士和研究人员组成的专家小组对癌症信息过载量表进行改编,并对修改后的量表(即大流行信息过载量表)进行内容效度检验。使用探索性因子分析对数据的一个子样本评估大流行信息过载量表的因子有效性和可靠性。使用数据的第二个子样本,检查了护士和助产士为了解 COVID-19 而更新信息的信息过载情况和信息来源。

结果

大流行信息过载量表是一种可靠且有效的工具,可用于衡量大流行期间护士的信息过载情况。其内部一致性较高(α=0.81,M=3.84)。

结论

该 8 项 PIO 量表是一种简洁、可靠且具有良好心理测量特性的工具,可用于衡量 COVID-19 期间护士和助产士对信息过载的感知。本研究的平均得分表明,参与者经历了高于平均水平的信息过载。实施减轻这种过载的策略将优化临床决策并促进患者安全。

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