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":"43 1","pages":""},"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.
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。