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

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 ^a 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.^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 <strong>Members of the Study Group</strong> <strong>in alphabetical order</strong>: <em>Dr. med. Mirza Aghamov</em>^<em>1</em><em>, Prof. Dr. med. Manfred Blobner², Prof. Dr. med. Ulrich Frey³</em><em>, Prof. Dr. Christian von Heymann⁴</em><em>, Prof. Dr. med. Bettina Jungwirth</em>^<em>1</em><em>, Dr. med. Dragutin Popovic⁴</em><em>, Prof. Dr. med. Michael Sander⁵</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 &amp; 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>本数据集用于在一篇待发表的学术论文中评估夏里特报警疲劳问卷（Charité Alarm Fatigue Questionnaire, CAFQa）的结构效度。所有问卷条目均采用5级李克特量表作答，我们的计分规则如下：-2对应"完全不同意"，-1对应"不同意"，0对应"部分同意"，1对应"同意"，2对应"完全同意"。本次上传的历史版本仅包含清理并插补后的数据集（详细信息请参阅待发表论文的方法章节），新版本则同时提供原始数据集。 以下为变量名及其对应的问卷条目。带有上标^a的条目需进行反向计分： - **procedural_instruction**：在我所在科室中，关于报警处置的操作指南会定期更新并向全体医护人员传达^a - **respond_quickly**：相关负责人员会迅速且恰当地对报警做出响应^a - **motivation_decrease**：科室中过多的报警会导致我的工作表现与工作积极性下降 - **physical_symptoms**：过多的报警会引发我出现躯体症状，例如紧张、头痛及睡眠障碍 - **ward_floor**：我所在病区及护士站使用的声学与视觉监护报警装置，可让我清晰识别患者、对应设备及具体场景^a - **reduce_concentration**：报警会分散我的专注力与注意力 - **alarm_limits**：报警阈值会根据患者的临床情况定期调整（例如搭桥手术后患者的血压阈值）^a - **interrupt_workflow**：我本人或邻近患者的报警，以及危机报警常会打断我的工作流程 - **alarms_confuse**：部分场景下，报警会令我感到困惑 数据集内其余变量如下： - **self_reported_AF**：自我评估的报警疲劳程度（以百分比计） - **estimated_false_alarms**：参与者所在重症监护病房感知到的误报警率 - **monthly_time_on_ICU**：每月在重症监护或监护区域工作的平均工作日数 - **ICU_experience**：重症监护工作年限/月数 - **profession**：职业类别，包括医师、护士或助理护士 **研究团队成员（按字母顺序排列）**：*Dr. med. Mirza Aghamov*¹、*Prof. Dr. med. Manfred Blobner*²、*Prof. Dr. med. Ulrich Frey*³、*Prof. Dr. Christian von Heymann*⁴、*Prof. Dr. med. Bettina Jungwirth*¹、*Dr. med. Dragutin Popovic*⁴、*Prof. Dr. med. Michael Sander*⁵。 1. *德国乌尔姆大学附属医院麻醉与重症医学科，乌尔姆大学，乌尔姆，德国* 2. *德国慕尼黑工业大学医学院，里萨尔临床医院麻醉与重症医学科，慕尼黑，德国* 3. *德国波鸿鲁尔大学附属医院马里恩医院麻醉科、外科重症监护、疼痛与姑息医学科，赫恩，德国* 4. *德国维万特斯弗里德里希沙恩医院麻醉科、重症医学与疼痛治疗科，柏林，德国* 5. *德国吉森尤斯图斯·利比希大学麻醉科、重症医学与疼痛治疗科，吉森，德国*