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Identification of risk factors of developing pressure injuries among immobile patient, and a risk prediction model establishment: A protocol for systematic review

机译:识别不动患者压力损伤的危险因素,以及风险预测模型建立:安排议定书

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Backgroud: Pressure injuries (PIs) bring a considerable physical and mental burden on immobile patients, and have put families and government under tremendous pressure to cover the cost of treatment. Therefore, this protocol proposes to identify risk factors of developing PIs in immobile patients from systematic reviews (SRs) and clinical practice guidelines (CPGs), in order to establish a risk prediction model for developing PIs and identify individual risk factors that can be modified to aid prevention. Methods: Electronic databases and specific databases for CPGs and SRs will be searched. Study selection and data collection will be performed independently by two reviewers. All included SRs and CPGs will be subject to critical appraisal. RevMan 5.3 will be used to calculate the pooled odds ratio (ORP) after appraising the quality of eligible studies, and the risk predictive model will be established using logistic regression model. A narrative synthesis, evidence summary table, and Sankey diagram will also be performed. Results: The results of this study will be submitted to a peer-reviewed journal for publication. Conclusion: This systematic review will provide a risk prediction model of PI developing.
机译:Backgroud:压力受伤(PIS)对固定患者带来相当大的身心负担,并使家庭和政府在巨大的压力下覆盖治疗成本。因此,本协议提出识别从系统评论(SRS)和临床实践指南(CPG)中,识别在不动患者中发展PIS的危险因素,以建立用于开发PIS的风险预测模型,并确定可以修改的个人风险因素救保。方法:将搜索CPG和SRS的电子数据库和特定数据库。学习选择和数据收集将由两个审阅者独立执行。所有包括的SRS和CPG将受到批判性评估。 Revman 5.3将用于计算评估符合条件的研究质量后的汇总的赔率比(ORP),并且将使用Logistic回归模型建立风险预测模型。还将执行叙事综合,证据摘要表和SANKey图。结果:本研究的结果将提交给同行评审杂志出版。结论:该系统审查将提供PI发展的风险预测模型。

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