DOI: 10.5281/zenodo.7801479
title: Dataset for Evaluating the Construct Validity of the Charité Alarm Fatigue Questionnaire

description: This is the dataset that we used for evaluating the construct validity of the Charité Alarm Fatigue Questionnaire (CAFQa) in a forthcoming publication. All items were answered on a 5-point Likert scale and were scored by us as follows: -2/“I do not agree at all”, -1/“I do not agree”, 0/“I agree in part”, 1/“I agree”, 2/"I very much agree". A previous version of this upload included only the cleaned and imputed data set (please refer to the methods section of the forthcoming publication for more details). A new version provides the raw data as well. Variable names and their corresponding item. Items marked with <sup>a</sup> were reversely scored. Variable Name CAFQa Item procedural_instruction In my ward, procedural instruction on how to deal with alarms is regularly updated and shared with all staff.<sup>a</sup> respond_quickly Responsible personnel respond quickly and appropriately to alarms.<sup>a</sup> motivation_decrease With too many alarms on my ward, my work performance, and motivation decrease. physical_symptoms Too many alarms trigger physical symptoms for me, e.g., nervousness, headaches, and sleep disturbances. ward_floor The acoustic and visual monitor alarms used on my ward floor and in my nurse station allow me to assign the patient, the device, and the situation clearly.<sup>a</sup> reduce_concentration Alarms reduce my concentration and attention. alarm_limits Alarm limits are regularly adjusted based on patients' clinical pictures (e.g., blood pressure limits for conditions after bypass surgery).<sup>a</sup> interrupt_workflow My or neighboring patients' alarms or crisis alarms frequently interrupt my workflow. alarms_confuse There are situations when alarms confuse me. Other variables in the data set. Variable Name Explanation self_reported_AF self-estimated alarm fatigue in percent estimated_false_alarms perceived rate of false alarms in the participant's ICU monthly_time_on_ICU the average number of workdays per month in an intensive care or monitoring area ICU_experience number of years/months of ICU experience profession physician, nurse, or supporting nurse <strong>Members of the Study Group</strong> <strong>in alphabetical order</strong>: <em>Dr. med. Mirza Aghamov</em><sup><em>1</em></sup><em>, Prof. Dr. med. Manfred Blobner<sup>2</sup>, Prof. Dr. med. Ulrich Frey<sup>3</sup></em><em>, Prof. Dr. Christian von Heymann<sup>4</sup></em><em>, Prof. Dr. med. Bettina Jungwirth</em><sup><em>1</em></sup><em>, Dr. med. Dragutin Popovic<sup>4</sup></em><em>, Prof. Dr. med. Michael Sander<sup>5</sup></em><em>. </em> 1: <em>Department of Anesthesiology and Intensive Care Medicine, University Hospital Ulm, Ulm University, Ulm, Germany</em> 2: <em>Technical University Munich, School of Medicine, Klinikum Rechts der Isar, Department of Anaesthesiology & Intensive Care Medicine, Munich, Germany</em> 3: <em>Department for Anesthesiology, Surgical Intensive Care, Pain and Palliative Medicine, Marien Hospital Herne – Universitätsklinikum der Ruhr-Universität Bochum, Herne, Germany</em> 4: <em>Department for Anaesthesiology, Intensive Care Medicine and Pain Therapy, Vivantes Klinikum im Friedrichshain, Berlin, Germany</em> 5: <em>Department for Anaesthesiology, Intensive Care Medicine and Pain Therapy, Justus Liebig University, Giessen, Germany</em>