Accuracy and clinical effectiveness of risk prediction tools for pressure injury occurrence: An umbrella review

Bethany Hillier, Katie Scandrett, April Coombe, Tina Hernandez-Boussard, Ewout Steyerberg, Yemisi Takwoingi, Vladica Velickovic, Jacqueline Dinnes
{"title":"Accuracy and clinical effectiveness of risk prediction tools for pressure injury occurrence: An umbrella review","authors":"Bethany Hillier, Katie Scandrett, April Coombe, Tina Hernandez-Boussard, Ewout Steyerberg, Yemisi Takwoingi, Vladica Velickovic, Jacqueline Dinnes","doi":"10.1101/2024.05.07.24307001","DOIUrl":null,"url":null,"abstract":"<strong>Background</strong> Pressure injuries (PIs) pose a substantial healthcare burden and incur significant costs worldwide. Several risk prediction models to allow timely implementation of preventive measures and potentially reduce healthcare system burden are available and in use. The ability of risk prediction tools to correctly identify those at high risk of PI (prognostic accuracy) and to have a clinically significant impact on patient management and outcomes (effectiveness) is not clear. We aimed to evaluate the prognostic accuracy and clinical effectiveness of risk prediction tools for PI, and to identify gaps in the literature.","PeriodicalId":501260,"journal":{"name":"medRxiv - Nursing","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2024-05-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"medRxiv - Nursing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1101/2024.05.07.24307001","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

Background Pressure injuries (PIs) pose a substantial healthcare burden and incur significant costs worldwide. Several risk prediction models to allow timely implementation of preventive measures and potentially reduce healthcare system burden are available and in use. The ability of risk prediction tools to correctly identify those at high risk of PI (prognostic accuracy) and to have a clinically significant impact on patient management and outcomes (effectiveness) is not clear. We aimed to evaluate the prognostic accuracy and clinical effectiveness of risk prediction tools for PI, and to identify gaps in the literature.
压伤发生风险预测工具的准确性和临床有效性:综述
背景 压力伤害(PIs)在全球范围内造成了巨大的医疗负担,并产生了可观的费用。目前已有多种风险预测模型可供使用,以便及时实施预防措施,并有可能减轻医疗系统的负担。目前尚不清楚风险预测工具是否能正确识别那些有高风险的损伤患者(预后准确性),以及是否能对患者管理和预后产生显著的临床影响(有效性)。我们旨在评估 PI 风险预测工具的预后准确性和临床有效性,并找出文献中的不足之处。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
0
×
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