利用确证因子分析评估 Charité 警报疲劳问卷的结构有效性。

IF 2.6 Q2 HEALTH CARE SCIENCES & SERVICES
JMIR Human Factors Pub Date : 2024-08-08 DOI:10.2196/57658
Maximilian Markus Wunderlich, Henning Krampe, Kristina Fuest, Dominik Leicht, Moriz Benedikt Probst, Julian Runge, Sebastian Schmid, Claudia Spies, Björn Weiß, Felix Balzer, Akira-Sebastian Poncette
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引用次数: 0

摘要

背景:Charité 警报疲劳问卷(CAFQa)是一份包含 9 个项目的问卷,旨在规范护士和医生警报疲劳的测量方法。我们之前曾假设它有两个相关量表,一个是关于警报疲劳的心身影响,另一个是关于员工在处理警报时的应对策略:我们旨在验证 CAFQa 的假设结构,从而巩固该工具的结构效度:我们对德国重症监护病房的护士和医生进行了两项独立研究(研究 1:n=265;研究 2:n=1212)。采用基于多变量协方差的非加权最小二乘法确认性因素分析法对问卷进行了分析。通过参与者对自身警报疲劳度和误报率的估计,评估了问卷的收敛效度:在两项研究中,χ2 检验均达到统计学意义(研究 1:χ226=44.9;P=.01;研究 2:χ226=92.4;P0.95,Tucker-Lewis 指数大于 0.95,比较拟合指数大于 0.995)。参与者的平均得分与自我报告的警报疲劳度呈中度相关(研究 1:r=0.45;研究 2:r=0.53),与自我感觉的错误警报暴露度呈弱相关(研究 1:r=0.3;研究 2:r=0.33):该问卷可测量我们之前研究中提出的警报疲劳结构。研究人员和临床医生可以依靠 CAFQa 来测量护士和医生的警报疲劳。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Evaluating the Construct Validity of the Charité Alarm Fatigue Questionnaire using Confirmatory Factor Analysis.

Background: The Charité Alarm Fatigue Questionnaire (CAFQa) is a 9-item questionnaire that aims to standardize how alarm fatigue in nurses and physicians is measured. We previously hypothesized that it has 2 correlated scales, one on the psychosomatic effects of alarm fatigue and the other on staff's coping strategies in working with alarms.

Objective: We aimed to validate the hypothesized structure of the CAFQa and thus underpin the instrument's construct validity.

Methods: We conducted 2 independent studies with nurses and physicians from intensive care units in Germany (study 1: n=265; study 2: n=1212). Responses to the questionnaire were analyzed using confirmatory factor analysis with the unweighted least-squares algorithm based on polychoric covariances. Convergent validity was assessed by participants' estimation of their own alarm fatigue and exposure to false alarms as a percentage.

Results: In both studies, the χ2 test reached statistical significance (study 1: χ226=44.9; P=.01; study 2: χ226=92.4; P<.001). Other fit indices suggested a good model fit (in both studies: root mean square error of approximation <0.05, standardized root mean squared residual <0.08, relative noncentrality index >0.95, Tucker-Lewis index >0.95, and comparative fit index >0.995). Participants' mean scores correlated moderately with self-reported alarm fatigue (study 1: r=0.45; study 2: r=0.53) and weakly with self-perceived exposure to false alarms (study 1: r=0.3; study 2: r=0.33).

Conclusions: The questionnaire measures the construct of alarm fatigue as proposed in our previous study. Researchers and clinicians can rely on the CAFQa to measure the alarm fatigue of nurses and physicians.

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来源期刊
JMIR Human Factors
JMIR Human Factors Medicine-Health Informatics
CiteScore
3.40
自引率
3.70%
发文量
123
审稿时长
12 weeks
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