Development and Validation of A New Tool for Assessing Risk of Falls in Acute Psychiatric Settings

V. Morici, S. Terzoni, P. Ferrara, A. Destrebecq
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引用次数: 2

Abstract

Background: Falls in hospitals are a global problem, due to their frequency and the consequences for the person, the operators, the organization. The literature shows that patients suffering from mental disorders, especially inacute settings, have specific characteristics that increase their risk. Two scales are available in literature for these patients, but one is not fully validated, and the other has unsatisfactory predictive validity. Furthermore, no tools exist in Italian. Aim: To create and validate a tool, in English and in Italian, to assess risk to fall in patients hospitalized acute psychiatric settings. Materials and Methods: upon literature review, a new scale was created and administered to the patients of two psychiatric services in different Italian hospitals. Validity and reliability of the scale were assessed by means of factor analysis, content validity index, and Cronbach’s alpha coefficient. Results: The scale consists of 11 items (CVI-S = 90.9%); 7 clinical experts have positively judged comprehensibility and the uniqueness of the items. 123 patients were screened (at admission, and after 24 and 48 hours), 10 of them reported falls; with a cut-off of 11 points, the scale showed 100% sensitivity and 80.2% specificity. Inter-rater reliability was high (Pearson's r = 0.93). Conclusions: the new scale seems easy to use and capable of predicting falls in psychiatric patients admitted to acute hospital units.
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一种评估急性精神病患者跌倒风险的新工具的开发和验证
背景:医院摔倒是一个全球性问题,因为其发生频率和对个人、操作人员和组织造成的后果。文献表明,患有精神障碍的患者,特别是非急性情况下,具有增加其风险的特定特征。文献中有两种量表可用于这些患者,但其中一种未完全验证,另一种预测效度不令人满意。此外,意大利语中也没有工具。目的:创建和验证一个工具,在英语和意大利语,以评估病人住院急性精神病设置跌倒的风险。材料和方法:在文献回顾的基础上,创建了一个新的量表,并对意大利不同医院的两家精神科服务的患者进行了管理。采用因子分析、内容效度指数和Cronbach’s alpha系数对量表进行效度和信度评价。结果:量表由11个条目组成(CVI-S = 90.9%);7位临床专家对项目的可理解性和独特性给予了积极评价。123例患者接受了筛查(入院时、24小时和48小时后),其中10例报告跌倒;分界点为11分,该量表的敏感性为100%,特异性为80.2%。评估者间信度高(Pearson’s r = 0.93)。结论:新量表易于使用,并能预测急症住院精神病患者的跌倒情况。
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