TY - JOUR
T1 - Comparative utility of the BESTest, Mini-BESTest, and Brief-BESTest for predicting falls in individuals with Parkinson disease
T2 - A cohort study
AU - Duncan, Ryan P.
AU - Leddy, Abigail L.
AU - Cavanaugh, James T.
AU - Dibble, Leland E.
AU - Ellis, Terry D.
AU - Ford, Matthew P.
AU - Foreman, K. Bo
AU - Earhart, Gammon M.
PY - 2013/4
Y1 - 2013/4
N2 - Background. The newly developed Brief-Balance Evaluation System Test (Brief- BESTest) may be useful for measuring balance and predicting falls in individuals with Parkinson disease (PD). Objectives. The purposes of this study were: (1) to describe the balance performance of those with PD using the Brief-BESTest, (2) to determine the relationships among the scores derived from the 3 versions of the BESTest (ie, full BESTest, Mini-BESTest, and Brief-BESTest), and (3) to compare the accuracy of the Brief- BESTest with that of the Mini-BESTest and BESTest in identifying recurrent fallers among people with PD. Design. This was a prospective cohort study. Methods. Eighty participants with PD completed a baseline balance assessment. All participants reported a fall history during the previous 6 months. Fall history was again collected 6 months (n=51) and 12 months (n=40) later. Results. At baseline, participants had varying levels of balance impairment, and Brief-BESTest scores were significantly correlated with Mini-BESTest (r=.94, P<.001) and BESTest (r=.95, P<.001) scores. Six-month retrospective fall prediction accuracy of the Brief-BESTest was moderately high (area under the curve [AUC]=0.82, sensitivity =0.76, and specificity=0.84). Prospective fall prediction accuracy over 6 months was similarly accurate (AUC=0.88, sensitivity=0.71, and specificity=0.87), but was less sensitive over 12 months (AUC=0.76, sensitivity=0.53, and specificity=0.93). Limitations. The sample included primarily individuals with mild to moderate PD. Also, there was a moderate dropout rate at 6 and 12 months. Conclusions. All versions of the BESTest were reasonably accurate in identifying future recurrent fallers, especially during the 6 months following assessment. Clinicians can reasonably rely on the Brief-BESTest for predicting falls, particularly when time and equipment constraints are of concern.
AB - Background. The newly developed Brief-Balance Evaluation System Test (Brief- BESTest) may be useful for measuring balance and predicting falls in individuals with Parkinson disease (PD). Objectives. The purposes of this study were: (1) to describe the balance performance of those with PD using the Brief-BESTest, (2) to determine the relationships among the scores derived from the 3 versions of the BESTest (ie, full BESTest, Mini-BESTest, and Brief-BESTest), and (3) to compare the accuracy of the Brief- BESTest with that of the Mini-BESTest and BESTest in identifying recurrent fallers among people with PD. Design. This was a prospective cohort study. Methods. Eighty participants with PD completed a baseline balance assessment. All participants reported a fall history during the previous 6 months. Fall history was again collected 6 months (n=51) and 12 months (n=40) later. Results. At baseline, participants had varying levels of balance impairment, and Brief-BESTest scores were significantly correlated with Mini-BESTest (r=.94, P<.001) and BESTest (r=.95, P<.001) scores. Six-month retrospective fall prediction accuracy of the Brief-BESTest was moderately high (area under the curve [AUC]=0.82, sensitivity =0.76, and specificity=0.84). Prospective fall prediction accuracy over 6 months was similarly accurate (AUC=0.88, sensitivity=0.71, and specificity=0.87), but was less sensitive over 12 months (AUC=0.76, sensitivity=0.53, and specificity=0.93). Limitations. The sample included primarily individuals with mild to moderate PD. Also, there was a moderate dropout rate at 6 and 12 months. Conclusions. All versions of the BESTest were reasonably accurate in identifying future recurrent fallers, especially during the 6 months following assessment. Clinicians can reasonably rely on the Brief-BESTest for predicting falls, particularly when time and equipment constraints are of concern.
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U2 - 10.2522/ptj.20120302
DO - 10.2522/ptj.20120302
M3 - Article
C2 - 23174567
AN - SCOPUS:84875764233
SN - 0031-9023
VL - 93
SP - 542
EP - 550
JO - Physical therapy
JF - Physical therapy
IS - 4
ER -