重症监护病房新冠肺炎患者入院红旗预测模型的建立与验证

IF 1 Q4 CRITICAL CARE MEDICINE
Ghada S K Mahran, Marzoka A Gadallah, Mimi M Mekkawy, Sanaa M Ahmed, Magdy M M Sayed, Ahmed A Obiedallah, Mostafa S Abbas, Sherif A A Mohamed
{"title":"重症监护病房新冠肺炎患者入院红旗预测模型的建立与验证","authors":"Ghada S K Mahran, Marzoka A Gadallah, Mimi M Mekkawy, Sanaa M Ahmed, Magdy M M Sayed, Ahmed A Obiedallah, Mostafa S Abbas, Sherif A A Mohamed","doi":"10.1097/CNQ.0000000000000454","DOIUrl":null,"url":null,"abstract":"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.","PeriodicalId":10789,"journal":{"name":"Critical Care Nursing Quarterly","volume":null,"pages":null},"PeriodicalIF":1.0000,"publicationDate":"2023-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Development and Validation of a Red Flag Prediction Model for Admission of COVID-19 Patients to the Intensive Care Unit.\",\"authors\":\"Ghada S K Mahran, Marzoka A Gadallah, Mimi M Mekkawy, Sanaa M Ahmed, Magdy M M Sayed, Ahmed A Obiedallah, Mostafa S Abbas, Sherif A A Mohamed\",\"doi\":\"10.1097/CNQ.0000000000000454\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"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.\",\"PeriodicalId\":10789,\"journal\":{\"name\":\"Critical Care Nursing Quarterly\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":1.0000,\"publicationDate\":\"2023-04-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Critical Care Nursing Quarterly\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1097/CNQ.0000000000000454\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"CRITICAL CARE MEDICINE\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Critical Care Nursing Quarterly","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1097/CNQ.0000000000000454","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"CRITICAL CARE MEDICINE","Score":null,"Total":0}
引用次数: 0

摘要

我们的目的是开发并验证重症监护病房(ICU)收治COVID-19患者标准的模型。进行德尔菲设计研究。使用内容效度指数(CVI)来确定专家之间的一致程度,以验证录取标准工具的内容。11位专家确定了其有效性。评估采用4分制量表进行。可接受的CVI值为0.50及以上。模型采用5个维度的31个题项进行验证,题项cvi值为1,面效度指数为1,量表级内容效度指数(S-CVI)值为1。我们开发并验证了COVID-19患者入住ICU的红旗预测模型。该模型的准确实施可以改善这些患者的预后,并可能降低死亡率。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Development and Validation of a Red Flag Prediction Model for Admission of COVID-19 Patients to the Intensive Care Unit.
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.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
Critical Care Nursing Quarterly
Critical Care Nursing Quarterly CRITICAL CARE MEDICINE-
CiteScore
2.60
自引率
0.00%
发文量
76
期刊介绍: Critical Care Nursing Quarterly (CCNQ) is a peer-reviewed journal that provides current practice-oriented information for the continuing education and improved clinical practice of critical care professionals, including nurses, physicians, and allied health care professionals.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信