Development and Psychometric Evaluation of a Medical Device-Related Pressure Injury Risk Assessment Scale

医疗器械相关压力性损伤风险评估量表的开发和心理测量学评价

阅读:1

Abstract

Medical device-related pressure injuries are a significant and largely preventable patient safety problem, yet existing pressure injury risk scales do not adequately capture device-specific risk factors in adults. This methodological study developed and psychometrically evaluated a standardized risk assessment scale to identify medical device-related pressure injury risk in hospitalized adult patients. An initial item pool was generated from an extensive literature review and clinical expertise, and content validity was assessed by seven experts using the Davis technique (content validity index = 0.96). The scale was administered to 160 adults receiving at least one medical device in medical, surgical and oncology wards and intensive care units of a university hospital. Construct validity was evaluated using binary logistic regression, exploratory factor analysis, and receiver operating characteristic curve analysis, demonstrating strong discrimination (area under the curve = 0.844, 95% confidence interval 0.728-0.961) with an optimal cut-off score of 14.5 (sensitivity 70.6%, specificity 88.8%). Exploratory factor analysis of the final version of the MedRAS (Kaiser-Meyer-Olkin = 0.792) revealed a two-factor structure (Device and Mechanical Factors; Patient and Tissue Factors) explaining 50.92% of the total variance, with all factor loadings above 0.30. The scale showed good internal consistency (Cronbach's alpha = 0.80) and very good inter-rater reliability (Cohen's kappa = 0.806, p < 0.001). This device-focused scale may support early risk identification and targeted preventive nursing interventions, with potential to improve patient safety and quality of care in inpatient/critical care settings.

特别声明

1、本页面内容包含部分的内容是基于公开信息的合理引用;引用内容仅为补充信息,不代表本站立场。

2、若认为本页面引用内容涉及侵权,请及时与本站联系,我们将第一时间处理。

3、其他媒体/个人如需使用本页面原创内容,需注明“来源:[生知库]”并获得授权;使用引用内容的,需自行联系原作者获得许可。

4、投稿及合作请联系:info@biocloudy.com。