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Qual Improv Health Care > Volume 22(2); 2016 > Article
Quality Improvement in Health Care 2016;22(2): 27-40.
DOI: https://doi.org/10.14371/QIH.2016.22.2.27    Published online December 30, 2016.
낙상 위험 선별검사 Timed Up and Go test의 예측 타당도 메타분석
박성희1, 이언석2
1순천향대학교 간호학과
2순천향대학교 의료IT공학과
A Meta-analysis of the Timed Up and Go test for Predicting Falls
Seong-Hi Park1, On-Seok Lee2
1Department of Nursing, Soonchunhyang University
2Department of Medical IT Engineering, Soonchunhyang University
Correspondence  Seong-Hi Park ,Tel: +82-41-530-4854, Fax: +82-41-570-2498, Email: shpark2015@sch.ac.kr
Received: November 12, 2016  Revised: December 16, 2016  Accepted: December 17, 2016
Globally, falls are a major public health problem. The study aimed to evaluate the predictive validity of the Timed Up and Go test (TUGT) as a screening tool for fall risk.
An electronic search was performed Medline, EMBASE, CINAHL, Cochran Library, KoreaMed and the National Digital Science Library and other databases, using the following keywords: ‘fall’, 'fall risk assessment', 'fall screening', 'mobility scale', and 'risk assessment tool'. The QUADAS-Ⅱ was applied to assess the internal validity of the diagnostic studies. Thirteen studies were analyzed using meta-analysis with MetaDisc 1.4.
The selected 13 studies reporting predictive validity of TUGT of fall risks were meta-analyzed with a sample size of 1004 with high methodological quality. Overall predictive validity of TGUT was as follows. The pooled sensitivity 0.72 (95% confidence interval [CI]: 0.67-0.77), pooled specificity 0.58 (95% CI: 0.54-0.63) and sROC AUC was 0.75 respectively. Heterogeneity among studies was a moderate level in sensitivity.
The TGUT's predictive validity for fall risk is at a moderate level. Although there is a limit to interpret the results for heterogeneity between the literature, TGUT is an appropriate tool to apply to all patients at a potential risk of accidental fall in a hospital or long-term care facility.
Key words Accidental falls, Timed up and go test, Sensitivity and specificity, Meta-analysis
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