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首页> 外文期刊>Journal of Nursing Education and Practice >A multidisciplinary assessment instrument to predict fall risk in hospitalized patients: A prospective matched pair case study
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A multidisciplinary assessment instrument to predict fall risk in hospitalized patients: A prospective matched pair case study

机译:预测住院患者跌倒风险的多学科评估工具:前瞻性配对研究

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Objective: To identify fall risk for hospitalized patients utilizing a multidisciplinary assessment tool based on patients’ physical, mental, pharmacological, and metabolic data. Methods: A prospective case-control design comparing 48 patients who fell (incidence group) and 48 patients who did not experience fall (control group), based on patients’ age, gender, and hospital unit location. The study was conducted over an 8-month period at a large academic hospital. Setting: The Methodist Hospital, tertiary care academic referral center with 824 operating beds in Houston, TX. Participants: One hundred and twenty patients, sixty patients who fell, and sixty control subjects. Main Outcome Measures: The sensitivity and specificity of variables identified in logistic regression are able to distinguish patients who fell from patients who did not fall. Results: Logistic regression results identified six variables (2 summary variables and 4 individual variables) that correctly classified patients with 90% sensitivity (patients who fell) and 90% specificity (patients who did not fall). The first variable was an 11-item summary variable that included history, weakness or balance problem, altered mental status or confusion, visual impairment, dizziness or vertigo, urinary tract infection or abnormal urinary analysis (UA), diuretics/IV drips, continence, acute renal failure (ARF), antihypertensives and narcotics. The second variable represented the combination of 3 medication classes: neuroleptic, anticonvulsant and antidepressant. The third variable that had a negative impact on fall risk was the presence of a therapeutic anticoagulant. The other 3 significant variables were hypoglycemia, vital sign abnormality, and low hemoglobin. Conclusions: A multidisciplinary fall-risk assessment tool that screens combinations of physiological, pharmacological and metabolic patient factors improves the probability of correctly distinguishing patients who were more likely to fall from those patients who were less likely to fall.
机译:目的:使用基于患者身体,心理,药理和代谢数据的多学科评估工具,确定住院患者的跌倒风险。方法:采用前瞻性病例对照设计,根据患者的年龄,性别和医院所在位置,比较48例跌倒患者(发病组)和48例未经历跌倒患者(对照组)。该研究在一家大型学术医院进行了8个月。地点:德克萨斯州休斯顿的循道卫理医院,三级医疗学术推荐中心,设有824张手术床。参与者:120位患者,60位跌倒患者和60位对照对象。主要结果指标:在逻辑回归中确定的变量的敏感性和特异性能够区分跌倒患者和未跌倒患者。结果:Logistic回归结果确定了六个变量(2个摘要变量和4个单独变量),这些变量正确地对敏感性为90%(跌倒的患者)和90%特异性(不跌倒的患者)的患者进行了分类。第一个变量是11个项目的摘要变量,包括病史,虚弱或平衡问题,精神状态或精神错乱,视觉障碍,头晕或眩晕,尿路感染或尿液分析异常(UA),利尿剂/静脉滴注,尿失禁,急性肾衰竭(ARF),抗高血压药和麻醉药。第二个变量代表3种药物类别的组合:抗精神病药,抗惊厥药和抗抑郁药。对跌倒风险产生负面影响的第三个变量是治疗性抗凝剂的存在。其他3个重要变量是低血糖,生命体征异常和低血红蛋白。结论:一种多学科的跌倒风险评估工具,可以筛选生理,药理和代谢性患者因素的组合,从而提高了正确地区分跌倒可能性较高的患者的可能性。

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