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ความไวและความจำเพาะของเครองมอ Timed Up and Go test (TUGT) เพอทำนายการลม ในผสงอายทมโรคไมตดตอเรอรงและรบยาในหนวยบรการปฐมภม ตำบลสรศกด อำเภอศรราชา จงหวดชลบร

Year: 2026
Type: article
Study design: Observational Study
Abstract: Background: The Timed Up and Go Test (TUGT) has various cut-off values, resulting in different sensitivity and specificity. In Thailand, the cut-off value of ≥ 12 seconds is considered a high risk of falling. This study aims to evaluate the sensitivity and specificity of a cut-off value of 12 seconds and to identify a suitable cut-off value for predicting falls among elderly patients with chronic diseases in a primary care clinic. Design: Cross-sectional descriptive study Methods: Two hundred and seventy-six elderly patients with chronic diseases were followed up at a primary care clinic. Divided into high fall-risk group (TUGT ≥ 12 seconds) and low fall-risk group (TUGT < 12 seconds). Fall incidents were monitored during six months. Sensitivity and specificity were calculated for a cut-off value of 12 seconds and other potential cut-off values. Results: TUGT at the cut-off value of 12 seconds has a sensitivity of 51.8% (95%CI: 45.5-58.0) and specificity 42.1% (95%CI: 20.3-66.5). AUC = 0.5387. The cut-off value of 10 seconds had a sensitivity of 80.9% (95%Cl: 75.6-85.5), and the cut-off value of 15 seconds had a specificity of 89.5% (95%Cl: 66.9-98.7) Conclusions: The cut-off value of 12 seconds is unsuitable for predicting falls in elderly patients with chronic diseases in primary care settings. TUGT can be adapted for practical use by selecting a cut-off value for suitable applications. For example, the cut-off value of 10 seconds can be used for screening fall risks, while the cut-off value of 15 seconds can predict falls to facilitate intensive prevention. However, Intervention is considered based on the capacity of the healthcare facility. Keywords: sensitivity and specificity of TUGT, cut-off value of 12 seconds of TUGT, Falling prediction by TUGT
Language: Thai
Open Access status: diamond
OpenAlex ID: W7220007994
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