Research Unit and Nursing Department, Fundación Cardio Infantil Instituto de Cardiología, Cl. 163a #13B-60, Bogotá D.C, Colombia.
Faculty of Nursing, Universidad Autónoma de Bucaramanga, Avenida 42 No 48-11PBX, Bucaramanga, Colombia.
Sci Rep. 2023 Dec 7;13(1):21640. doi: 10.1038/s41598-023-48330-y.
The STRATIFY scale has been implemented as a preventive strategy for predicting the risk of accidental falls among hospitalized adults. However, there is still uncertainty about its accuracy. This study aimed to perform an external validation of the STRATIFY fall prediction scale in hospitalized adults in one tertiary care hospital in Bogotá, Colombia. The study was a retrospective cohort of adult hospitalized patients in a high-level complexity care hospital. The sample selected included admitted patients (age ≥ 18), consecutively by the institution between 2018 and 2020, with an evaluation of the fall risk measured by the STRATIFY score given to each at the time of hospital admission. For assessing the scale's feasibility, its discriminative capability was obtained by calculating sensitivity, specificity, likelihood ratios, predictive values, and area under the ROC curve. The evaluation included 93,347 patient hospital records (mean 56.9 years, 50.2% women). The overall sensitivity score was 0.672 [IC 95% 0.612-0.723], the specificity score was 0.612 [IC 95% 0.605-0.615], and the positive likelihood ratio was 1.73 [IC 95% 1.589-1.891]. The area under the ROC curve was 0.69 [IC 95% 0.66-0.72]. Subgroups of age obtained similar results. Applying the STRATIFY scale at hospital admission resulted in a lower performance of the tool-predict falls in hospitalized patients. It is necessary to implement an individual evaluation of the risk factors for falls in order to structure appropriate care plans to prevent and improve hospital safety.
STRATIFY 量表已被用作预测住院成人意外跌倒风险的预防策略。然而，其准确性仍存在不确定性。本研究旨在对哥伦比亚波哥大一家三级保健医院住院成人患者进行 STRATIFY 跌倒预测量表的外部验证。该研究为一家高复杂程度保健医院住院成年患者的回顾性队列研究。该样本包括 2018 年至 2020 年期间机构连续收治的成年住院患者（年龄≥18 岁），每位患者入院时均接受 STRATIFY 评分评估跌倒风险。为评估量表的可行性，通过计算灵敏度、特异性、似然比、预测值和 ROC 曲线下面积来获得其区分能力。评估包括 93347 例患者的住院记录（平均年龄 56.9 岁，50.2%为女性）。总体灵敏度评分为 0.672[95%CI 0.612-0.723]，特异性评分为 0.612[95%CI 0.605-0.615]，阳性似然比为 1.73[95%CI 0.589-0.891]。ROC 曲线下面积为 0.69[95%CI 0.66-0.72]。年龄亚组得到了类似的结果。在入院时应用 STRATIFY 量表导致该工具预测住院患者跌倒的性能降低。有必要对跌倒的危险因素进行个体评估，以制定适当的护理计划，预防和提高医院安全性。
