Evaluating the Construct Validity of the Charité Alarm Fatigue Questionnaire using Confirmatory Factor Analysis

Author:

Wunderlich Maximilian Markus1,Krampe Henning2,Fuest Kristina3,Leicht Dominik4,Probst Moriz Benedikt5,Runge Julian6,Schmid Sebastian7,Spies Claudia2,Weiß Björn2,Balzer Felix1,Poncette Akira-Sebastian1

Affiliation:

1. Institute for Medical Informatics, Charité – Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin

2. Department of Anesthesiology and Intensive Care Medicine, Charité – Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin, Berlin

3. Technical University Munich, Klinikum Rechts der Isar

4. Justus Liebig University

5. Vivantes Klinikum im Friedrichshain

6. Marien Hospital Herne – Universitätsklinikum der Ruhr-Universität Bochum

7. University Hospital Ulm, Ulm University

Abstract

Abstract Background. The Charité Alarm Fatigue Questionnaire (CAFQa) is a 9-item Questionnaire that aims to standardize how alarm fatigue (AF) in nurses and physicians is measured. We previously hypothesized that it has two correlated scales, i.e. one on the psychosomatic effects of AF 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 two independent studies with nurses and physicians from ICUs in Germany (NStudy 1 = 265, NStudy 2 = 1212). Responses to the questionnaires 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 AF and exposure to false alarms in percent. Results. In both studies the chi-square test reached statistical significance (ꭓ2(26) = 44.932, p = 0.012 and ꭓ2(26) = 92.416, p < 0.001 for Study 1 and 2, respectively). Other fit indices suggested a good model fit (in both studies RMSEA < 0.05, SRMR < 0.08, RNI > 0.95, TLI > 0.95, and CFI > 0.995). Participants' mean scores correlated moderately with self-reported AF (rStudy 1 = 0.45; rStudy 2 = 0.53) and weakly with self-perceived exposure to false alarms (rStudy 1 = 0.3; rStudy 2 = 0.33). Conclusion. 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 AF of nurses and physicians.

Publisher

Research Square Platform LLC

Reference37 articles.

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2. AAMI Foundation. Clinical Alarm Management Compendium. 2015. Available from: https://www.aami.org/docs/default-source/foundation/alarms/alarm-compendium-2015.pdf?sfvrsn=2d2b53bd_2 [accessed Jan 16, 2020]

3. Chromik J, Klopfenstein SAI, Pfitzner B, Sinno Z-C, Arnrich B, Balzer F, Poncette A-S. Computational approaches to alleviate alarm fatigue in intensive care medicine: A systematic literature review. Front Digit Health 2022;4. Available from: https://www.frontiersin.org/articles/10.3389/fdgth.2022.843747 [accessed Feb 1, 2023]

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5. Impact of Alarm Fatigue on the Work of Nurses in an Intensive Care Environment—A Systematic Review;Lewandowska K;Int J Environ Res Public Health,2020

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