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Dataset for Evaluating the Construct Validity of the Charité Alarm Fatigue Questionnaire

Authors: Wunderlich, Maximilian Markus; Krampe, Henning; Fuest, Kristina; Leicht, Dominik; Probst, Moriz Benedikt; Runge, Julian; Schmid, Sebastian; +5 Authors

Dataset for Evaluating the Construct Validity of the Charité Alarm Fatigue Questionnaire

Abstract

These are the datasets 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 data of Study 1. A new version provides the data of Study 2. Please refer to the methods section of the forthcoming publication for more details. Variable names and their corresponding item. Items marked with 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.a respond_quickly Responsible personnel respond quickly and appropriately to alarms.a 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.a 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).a 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 Members of the Study Group in alphabetical order: Dr. med. Mirza Aghamov1, Prof. Dr. med. Manfred Blobner2, Prof. Dr. med. Ulrich Frey3, Prof. Dr. Christian von Heymann4, Prof. Dr. med. Bettina Jungwirth1, Dr. med. Dragutin Popovic4, Prof. Dr. med. Michael Sander5. 1: Department of Anesthesiology and Intensive Care Medicine, University Hospital Ulm, Ulm University, Ulm, Germany 2: Technical University Munich, School of Medicine, Klinikum Rechts der Isar, Department of Anaesthesiology & Intensive Care Medicine, Munich, Germany 3: Department for Anesthesiology, Surgical Intensive Care, Pain and Palliative Medicine, Marien Hospital Herne – Universitätsklinikum der Ruhr-Universität Bochum, Herne, Germany 4: Department for Anaesthesiology, Intensive Care Medicine and Pain Therapy, Vivantes Klinikum im Friedrichshain, Berlin, Germany 5: Department for Anaesthesiology, Intensive Care Medicine and Pain Therapy, Justus Liebig University, Giessen, Germany

Keywords

alarm system quality, patient monitoring, alarm management, ICU, patient safety, alarm system, clinical alarms, intensive care unit, alarm fatigue, medical devices

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selected citations
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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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