Mahran Ghada S K, Gadallah Marzoka A, Mekkawy Mimi M, Ahmed Sanaa M, Sayed Magdy M M, Obiedallah Ahmed A, Abbas Mostafa S, Mohamed Sherif A A
Departments of Critical Care and Emergency Nursing (Dr Mahran) and Pediatric Nursing (Dr Gadallah), Faculty of Nursing, Assiut University, Assiut, Egypt; Department of Medical Surgical Nursing, Galala University, Suez, Egypt (Dr Mekkawy); Department of Pediatric Nursing, Faculty of Nursing, El-Minia University, El-Minia, Egypt (Dr Ahmed); Departments of Anesthesia and Intensive Care (Drs Sayed and Abbas), Internal Medicine, Cardiology and Critical Care Medicine Unit (Dr Obiedallah), and Chest Diseases and Tuberculosis (Dr Mohamed), Faculty of Medicine, Assiut University, Assiut, Egypt.
Crit Care Nurs Q. 2023;46(2):217-226. doi: 10.1097/CNQ.0000000000000454.
We aimed to develop and validate a model for the criteria for admission of COVID-19 patients to the intensive care unit (ICU). A Delphi design study was conducted. The content validity index (CVI) was used to determine the degree of agreement among the experts to validate the content of the admission criteria tool. Eleven experts determined the validity. The evaluation was conducted using a 4-point rating scale. The accepted CVI value was 0.50 and more. The model was validated with 31 items in the 5 dimensions, with the item-CVI of 1, a face validity index of 1, and a scale-level content validity index (S-CVI) value of 1. We have developed and validated a red flag prediction model for ICU admission of COVID-19 patients. The accurate implementation of this model could improve the outcomes of those patients and possibly decrease mortality.
我们旨在开发并验证一种用于确定新型冠状病毒肺炎（COVID-19）患者入住重症监护病房（ICU）标准的模型。开展了一项德尔菲设计研究。采用内容效度指数（CVI）来确定专家之间的一致程度，以验证入院标准工具的内容。11名专家确定了效度。使用4级评分量表进行评估。可接受的CVI值为0.50及以上。该模型在5个维度的31个条目中得到验证，条目CVI为1，表面效度指数为1，量表水平内容效度指数（S-CVI）值为1。我们已经开发并验证了一种用于COVID-19患者入住ICU的警示预测模型。该模型的准确应用可以改善这些患者的治疗结果，并可能降低死亡率。
