严重精神障碍住院患者的跌倒频率和诱因

Patricia G García Cruz, Héctor Cabello Rangel, Georgina Espinosa Montiel, Karen M Arteaga Contreras
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摘要

导言:与其他患者相比,即使在医院环境中,精神病患者的跌倒率也较高;由于跌倒会对健康和生活质量造成负面影响,因此是一个值得关注的安全问题。方法:描述性、回顾性研究。共分析了 162 份住院期间跌倒患者的临床记录。跌倒的因素分为内在因素和外在因素。计算定性变量的频率和百分比,并使用 U-Mann Whitney 检验比较定性变量的均值。建立了逻辑回归模型。所有分析均使用 SPSS 26 版统计软件进行。结果女性患者(n=110)跌倒的频率较高,每 1000 个住院日跌倒率为 5.4 次。27.2%的患者跌倒超过两次,67.3%的患者在跌倒时受伤(6.2%为重伤)。有 30.9% 的患者跌倒的可能原因是精神药物的不良反应。一些显示出显著差异的跌倒预测因素包括:认知障碍(ExpB=2.59)、女性(ExpB=6.41)和夜班(ExpB=1.16)。结论我们发现,女性性别、认知障碍(内在因素)和夜班(外在因素)这三个变量是住院期间跌倒概率较高的原因。我们认为,应将认知评估纳入其中,以识别跌倒风险并减少夜班的人员不足。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Frequency of falls and contributing factors in hospitalized patients with severe mental disorders
Introduction: Psychiatric patients have a higher rate of falls even in the hospital setting compared to other patients; falls are a safety concern because of the negative consequences for health and quality of life. Methods: descriptive, retrospective study. A total of 162 clinical records of patients who fell during hospitalization were analyzed. Factors for falls were classified as intrinsic and extrinsic. Frequency and percentages of qualitative variables were calculated and the U-Mann Whitney test was used to compare means of qualitative variables. A logistic regression model was constructed. All analyses were performed using SPSS version 26 statistical software. Results: The frequency of falls was higher in women (n=110) with a rate of 5.4 falls per 1000 hospital days. 27.2% had more than two falls and 67.3% of patients were injured when falling (6.2% serious). In 30.9%, the adverse effect of psychotropic drugs was identified as the probable cause of the fall. Some of the predictors of falls that showed a significant difference were: cognitive impairment (ExpB=2.59), female sex (ExpB=6.41) and night shift (ExpB=1.16). Conclusions: We identified that the variables female sex, cognitive impairment (intrinsic factors) and night shift (extrinsic factor) explain the higher probability of falling during hospitalization. We consider that cognitive assessment should be included to identify the risk of falling and reduce the staffing deficit in the night shift.
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