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BACKGROUND AND PURPOSE: Stroke impairs a patient's ability to walk. In patients with acute stroke, a 6-min walking distance (6MWD) is recommended to assess walking function. Minimal clinically important difference (MCID) is used to determine the effectiveness of rehabilitation; however, the MCID for 6MWD has not been adequately validated. This study aimed to estimate the MCID of 6MWD, a measure of walking endurance, in patients with acute stroke using anchor-based methods. METHODS: Based on the change in 6MWD from baseline to the follow-up measurement 2 weeks later, the MCID was estimated using anchor-based methods (receiver operator operating characteristic curves, predictive and adjustment models) with a patient- and therapist-rated global rating of change scale (p-GRC, t-GRC) as external anchors. The accuracy of "meaningful change" was estimated from the area under the curve. Using MCID's credibility instruments, the credibility of each anchor was evaluated. Using the credibility instrument, high credibility was defined as satisfying 3/5 of the Core criteria and 6/9 of all criteria. RESULTS: The analysis included 58 patients. The MCID for each anchor was 78.7-100.0 m for p-GRC, and 95.2-99.5 m for t-GRC. The p-GRC demonstrated excellent accuracy (area under the curve >0.8). With p-GRC as anchors, over 50% of patients showed improvement. The p-GRC satisfied the core criterion of 3/5 and all criteria of 6/9 on the reliability instrument. The t-GRC demonstrated low reliability and satisfied the core criterion of 2/5 and all criteria of 3/9. DISCUSSION: Since the percentage of improved groups exceeded 50%, the adjusted model was useful in the anchor-based method. Therapists may not accurately capture patient fatigue and subjective symptoms, potentially affecting the correlation between the 6MWD change score and the t-GRC and, consequently, the reliability instrument. The p-GRC showed high accuracy and reliability; therefore, the MCID was estimated to be 78.7 m.
Subject(s)
Minimal Clinically Important Difference , Stroke Rehabilitation , Stroke , Walk Test , Humans , Male , Female , Aged , Middle Aged , Stroke/physiopathology , Walking/physiology , Reproducibility of Results , ROC CurveABSTRACT
OBJECTIVE: Balance problems are common in patients with stroke, and the Mini-Balance Evaluation Systems Test (Mini-BESTest) is a reliable and valid assessment tool for measuring balance function. Determining the minimal clinically important difference (MCID) is crucial for assessing treatment effectiveness. This study aimed to determine the MCID of the Mini-BESTest in patients with early subacute stroke. METHODS: In this prospective multicenter study, 53 patients with early subacute stroke undergoing rehabilitation in inpatient units were included. The mean age of the patients was 72.6 (SD = 12.2) years. The Mini-BESTest, which consists of 14 items assessing various aspects of balance function, including anticipatory postural adjustments, postural responses, sensory orientation, and dynamic gait, was used as the assessment tool. The global rating of change (GRC) scales completed by the participants and physical therapists were used as external anchors to calculate the MCID. The GRC scale measured subjective improvement in balance function, ranging from -3 (very significantly worse) to +3 (very significantly better), with a GRC score of ≥+2 considered as meaningful improvement. Four methods were used to calculate the MCID: mean of participants with GRC of 2, receiver operating characteristic-based method, predictive modeling method, and adjustment of the predictive modeling method based on the rate of improvement. From the MCID values obtained using these methods, a single pooled MCID value was calculated. RESULTS: The MCID values for the Mini-BESTest obtained through the 4 methods ranged from 3.2 to 4.5 points when using the physical therapist's GRC score as the anchor but could not be calculated using the participant's GRC score. The pooled MCID value for the Mini-BESTest was 3.8 (95% CI = 2.9-5.0). CONCLUSIONS: The Mini-BESTest MCID obtained in this study is valuable for identifying improvements in balance function among patients with early subacute stroke. IMPACT: Determination of the MCID is valuable for evaluating treatment effectiveness. The study findings provide clinicians with practical values that can assist in interpreting Mini-BESTest results and assessing treatment effectiveness.
Subject(s)
Disability Evaluation , Minimal Clinically Important Difference , Postural Balance , Stroke Rehabilitation , Humans , Postural Balance/physiology , Prospective Studies , Male , Female , Aged , Stroke Rehabilitation/methods , Stroke/physiopathology , Middle Aged , Aged, 80 and overABSTRACT
[Purpose] To examine changes in physical activity levels between admission and discharge in patients hospitalized after stroke and fracture. [Participants and Methods] Patients with stroke (n=36) or fracture (n=41) wore an accelerometer during the daytime for three days after admission and before discharge. Physical activity was divided into sedentary behavior (SB), light-intensity (LIPA), and moderate-to-vigorous (MVPA), and then compared between hospital admission and discharge using the Wilcoxon signed-rank test. The characteristics of patients with or without changes in SB during hospitalization were compared using the Mann-Whitney U test. [Results] The median LIPA time in patients after stroke and fracture increased from 107.5 and 106.7 minutes on admission to 122.0 and 127.3 minutes at discharge, and the median MVPA time increased from 2.7 and 0.7 minutes on admission to 4.2 and 2.7 minutes at discharge, respectively. In particular, LIPA in non-therapy time increased for patients both after stroke and fracture. No differences in characteristics were observed between with or without changes in SB regardless of differences in diagnoses. [Conclusion] These findings indicate that while physical activity levels increased during hospitalization, they remained below World Health Organization recommendations for MVPA, and patient characteristics alone may not account for increased activity levels.
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PURPOSE: The physical function of older patients with heart failure (HF) is likely to decline, and the Short Physical Performance Battery (SPPB) is widely used for its evaluation. No study has analyzed the SPPB by using Rasch model in these patients. The aim of this study was to examine the structural validity and item response of the SPPB in older inpatients with HF. MATERIALS AND METHODS: In this multicenter cross-sectional study, we investigated 106 older inpatients with HF. We evaluated the SPPB's rating scale structure, unidimensionality, and measurement accuracy (0 = poor performance to 4 = normal performance). RESULTS: The SPPB rating scale fulfilled the category functioning criteria. All items fit the underlying scale construct. The SPPB demonstrated adequate reliability (person reliability = 0.81) and separated persons into four strata: those with very low, low, moderate, and high physical performance. Item-difficulty measures were -0.59 to 0.96 logits, and regarding the person ability-item difficulty matching for the SPPB, the item was somewhat easy (the mean of person ability = 0.89 logits; mean of item difficulty = 0.00). CONCLUSION: The SPPB has strong measurement properties and is an appropriate scale for quantitatively evaluating physical function in older patients with HF.
For older adults with heart failure (HF), the Short Physical Performance Battery (SPPB) is often used to measure physical performance.Rasch analysis revealed that SPPB had strong measurement properties in older adults with HF.This result may help rehabilitation professionals use the SPPB as a physical performance scale in clinical practice to aid decision-making in intervention planning.
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Heart Failure , Inpatients , Humans , Aged , Cross-Sectional Studies , Reproducibility of ResultsABSTRACT
[Purpose] The purpose of this study was to clarify the criterion validity, construct validity, and feasibility of the Functional Assessment for Control of Trunk (FACT). [Participants and Methods] This study was a multicenter, cross-sectional study of patients with subacute stroke at three Japanese rehabilitation hospitals. To clarify feasibility, we examined the differences in the measurement time between FACT and the Trunk Impairment Scale (TIS). For the criterion validity of FACT, correlations between FACT, TIS, and the trunk items of the Stroke Impairment Assessment Set (SIAS) were examined using Spearman's rank correlation coefficient. For the construct validity of FACT, we examined the correlations with the other assessments. [Results] Seventy-three patients participated in this study. The measurement time was significantly shorter for FACT (212.6 ± 79.2 s) than TIS (372.4 ± 199.6 s). For criterion validity, FACT correlated significantly with TIS (r=0.896) and two SIAS trunk items (r=0.453, 0.594). For construct validity, significant correlations were found for FACT and other tests (r=0.249-0.797). Areas under the curve for FACT and TIS were 0.809 and 0.812, respectively, and the cutoff values for walking independence were 9 and 13 points, respectively. [Conclusion] For inpatients with stroke, FACT offered feasibility, criterion validity, and construct validity.
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BACKGROUND: Identifying the minimal clinically important difference (MCID) contributes to the ability to determine the efficacy of physiotherapy interventions and make good clinical decisions. PURPOSE: The purpose of this study was to estimate the MCID for 6-minute walking distance (6MWD) among inpatients with subacute cardiac disease using multiple anchor-based methods. METHODS: This study was a secondary data analysis using only data from a multicenter longitudinal observational study in which 6MWD was measured at two time points. Based on the changes in 6MWD between baseline measurement and follow-up approximately 1 week after baseline measurement, the global rating of change scales (GRCs) of patients and physiotherapists, anchor method receiver operator operating characteristic curves, predictive models, and adjusted models were used to calculate the MCID. RESULTS: Participants comprised 35 patients. Mean (standard deviation) 6MWD was 228.9 m (121.1 m) at baseline and 270.1 m (125.0 m) at follow-up. MCID for each GRC was 27.5-35.6 m for patients and 32.5-38.6 m for physiotherapists. CONCLUSION: The MCID in 6MWD in patients with subacute cardiovascular disease is 27.5-38.6 m. This value may be useful in determining the effectiveness of physiotherapy interventions and for decision-making.
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[Purpose] To identify predictors of life-space mobility in patients with fracture three months after discharge from convalescent rehabilitation ward. [Participants and Methods] This is a prospective longitudinal study that included patients aged 65 or older with a fracture who were scheduled for discharge home from the convalescent rehabilitation ward. Baseline measurements included sociodemographic variables (age, gender, and disease), the Falls Efficacy Scale-International, maximum walking speed, the Timed Up & Go test, the Berg Balance Scale, the modified Elderly Mobility Scale, the Functional Independence Measure, the revised version of Hasegawa's Dementia Scale, and the Vitality Index up to two weeks before discharge. As a follow-up, the life-space assessment was measured three months after discharge. In the statistical analysis, multiple linear and logistic regression analyses were performed with the life-space assessment score and the life-space level of "places outside your town" as dependent variables. [Results] The Falls Efficacy Scale-International, the modified Elderly Mobility Scale, age, and gender were selected as predictors in the multiple linear regression analysis, whereas in the multiple logistic regression analysis, the Falls Efficacy Scale-International, age, and gender were selected as predictors. [Conclusion] Our study emphasized the importance of fall-related self-efficacy and motor function for life-space mobility. The findings of this study suggest that when considering post-discharge living, therapists should conduct an appropriate assessment and adequate planning.
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[Purpose] This study aimed to compare the predictive accuracy of walking ability at discharge among subacute stroke inpatients at 6 months post-discharge in terms of community ambulation level and establish optimal cut-off values. [Participants and Methods] This prospective observational study included 78 patients who completed follow-up assessments. Patients were classified into three groups based on the Modified Functional Walking Category (household/most limited community walkers, least limited community walkers, and unlimited community walkers) obtained by telephone survey at 6 months post-discharge. Predictive accuracy and cut-off values for discriminating among groups were calculated from 6-minute walking distance and comfortable walking speed measured at the time of discharge using receiver operating characteristic curves. [Results] Between household/most limited and least limited community walkers, 6-minute walking distance and comfortable walking speed offered similar predictive accuracy (area under the curve, 0.6-0.7), with cut-off values of 195â m and 0.56 m/s, respectively. Between least limited and unlimited community walkers, the areas under the curve were 0.896 for 6-minute walking distance and 0.844 for comfortable walking speed, with cut-off values of 299â m and 0.94 m/s, respectively. [Conclusion] Walking endurance and walking speed among inpatients with subacute stroke provided superior predictive accuracy for unlimited community walkers at 6 months post-discharge.
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PURPOSE: The physical function of older adults age ≥ 75 years hospitalized for cardiovascular disease (CVD) often decrease. The Minimal Clinically Important Difference (MCID) is the smallest clinically meaningful difference due to therapy. The Short Physical Performance Battery (SPPB) and Comfortable Walking Speed (CWS) are physical function evaluations commonly used in people with CVD. This study aims to clarify the MCIDs of the SPPB and CWS in old-old adult with CVD. MATERIALS AND METHODS: This was a multicenter, prospective study of 58 old-old adults with acute CVD and rehabilitation. The MCID was estimated using the participants' and physical therapists' (PT) Global Rating of Change (GRC) scales as anchors for changes in the SPPB and CWS. The area under the curve (AUC) was used to measure the discrimination accuracy. RESULTS: The MCID of SPPB was 3 points when the GRC from PT was used as an anchor (AUC = 0.70). The MCID of CWS was 0.10 m/s when the GRC from participants and PT were used as anchors (AUC = 0.70 and 0.73, respectively). CONCLUSIONS: The MCID of 3 SPPB points and 0.10 m/s CWS in old-old adults with acute CVD may help determine the effectiveness of therapy and improve prognosis.Implications for rehabilitationFor people with cardiovascular disease (CVD), the Short Physical Performance Battery (SPPB) and comfortable walking speed (CWS) are often used to measure physical function.The MCID of SPPB and CWS was estimated to be 3 points and 0.10 m/s, respectively, in older adults with CVD aged ≥75 years.This finding is useful for clinicians to evaluate the efficacy of cardiac rehabilitation.
Subject(s)
Cardiovascular Diseases , Walking Speed , Humans , Aged , Prospective Studies , Minimal Clinically Important Difference , Physical Functional Performance , WalkingABSTRACT
[Purpose] To clarify the relationship between lower extremity function and activities of daily living and characterize lower extremity function in hospitalized middle-aged and older adults with subacute cardiovascular disease. [Participants and Methods] The Short Physical Performance Battery, 6-minute walk distance, and functional independence measure tests were conducted in 79 inpatients with subacute cardiovascular disease (mean age, 76.7 ± 11.9â years; 34 females). Multiple regression analysis used the functional independence measure score as the dependent variable and the Short Physical Performance Battery and 6-minute walk distance scores as independent variables. Cross-tabulations were performed for each age group, and patients who performed the Short Physical Performance Battery and 6-minute walk distance tests were divided into two groups by their respective cutoff values. [Results] Only the Short Physical Performance Battery (ß=0.568) and 6-minute walk distance (ß=0.479) scores were adopted as significant independent variables in each multiple regression model. The age <75â years group had the most patients with both good lower extremity function and aerobic capacity, whereas the age ≥75â years group had the most patients with both functions impaired. [Conclusion] Although cardiovascular disease is generally associated with decreased aerobic capacity, many older patients with cardiovascular disease in this study had decreased lower extremity function, too.
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OBJECTIVE: To determine the minimal clinically important difference between the Berg Balance Scale and comfortable walking speed in acute-phase stroke patients. DESIGN: Multicenter, prospective, longitudinal study. SETTING: Inpatient acute stroke rehabilitation. SUBJECTS: Seventy-five patients with acute stroke, mean (SD) age 71.7 (12.2) years. INTERVENTION: Inpatients with acute stroke were assessed with the Berg Balance Scale and comfortable walking speed before and after rehabilitation. Physiotherapy was conducted to improve balance and gait over a 2-week period: an average of 40â min/day on weekdays and 20â min/day on weekends and holidays. MAIN MEASURES: The patients' Berg Balance Scale, comfortable walking speed, Global Rating of Change scale (patient-rated and physiotherapist-rated), and motor score of the Functional Independence Measure were obtained. Minimal clinically important differences were estimated using both anchor- (receiver operating characteristic curves and change difference) and distribution-based approaches (minimal detectable change and 0.5× the change score [SD]). RESULTS: The baseline scores were 31.2 (18.9) for the Berg Balance Scale and 0.79 (0.35) m/s for comfortable walking speed. The minimal clinically important difference in the Berg Balance Scale was 6.5-12.5 points by the anchor-based approach and 2.3-4.9 points by the distribution-based approach. The minimal clinically important difference in comfortable walking speed was 0.18-0.25â m/s by the anchor-based and 0.13-0.15â m/s by the distribution-based approach. CONCLUSIONS: A change of 6.5-12.5 points in the Berg Balance Scale and 0.18-0.25â m/s in the comfortable walking speed is required in these measurements' anchor-based minimal clinically important differences to be beyond measurement error, and to be perceptible by both patients and clinicians.
Subject(s)
Stroke Rehabilitation , Stroke , Aged , Gait , Humans , Longitudinal Studies , Minimal Clinically Important Difference , Postural Balance , Prospective Studies , Stroke/complications , Stroke/diagnosis , Walking , Walking SpeedABSTRACT
BACKGROUND AND PURPOSE: This study aimed to investigate to what extent upper limb (UL) motor impairment, trunk compensation, and activity performance are related to self-perception of UL activity performance in subacute stroke. METHODS: This was a prospective observational study. Twenty-four adults with subacute stroke (age: 65.4 ± 10.8 years) underwent clinical and kinematic assessments at baseline (33.9 ± 5.2 days after stroke onset) and 4 weeks after the baseline. The clinical assessment included the UL Fugl-Meyer motor assessment (FMA), Simple Test for Evaluating hand Function (STEF), and the performance and satisfaction scores of the Canadian Occupational Performance Measure (COPM). The kinematic measurement was performed using a motion capture system during a standardized reach-to-grasp task. Endpoint performance variables and trunk displacement were calculated as kinematic outcomes. An inpatient rehabilitation program of 3 h/day was provided every day for 4 weeks between the two measurement points. The relationships between COPM scores and clinical/kinematic outcomes were examined by multiple regression analysis. Significance levels of p < 0.05 were used. RESULTS: The results of the multiple regression analysis showed that the changes in STEF (ß = 0.520, p = 0.005) and trunk compensation (ß = -0.398, p = 0.024) were moderately related to the change in the COPM satisfaction (R2 adj = 0.426, p = 0.001), while the change in UL FMA was not. DISCUSSION: The changes in activity performance and trunk compensation were related to improved self-perception of UL activity performance. Therapeutic management for activity performance and trunk compensation may be important for improving self-perception of UL activity performance after stroke.
Subject(s)
Stroke Rehabilitation , Stroke , Adult , Aged , Canada , Humans , Middle Aged , Recovery of Function , Stroke Rehabilitation/methods , Upper ExtremitySubject(s)
Disability Evaluation , Postural Balance , Humans , Models, Structural , Psychometrics , Reproducibility of ResultsABSTRACT
OBJECTIVE: The purpose of this study was to compare the psychometric properties of the Mini-Balance Evaluation Systems Test (Mini-BESTest) and S-BESTest and to evaluate which is more suitable for use in clinical settings for individuals with stroke. METHODS: This multicenter retrospective cross-sectional study investigated 115 individuals with stroke (mean age, 70.8 y [SD = 11.2 y]) who were able to stand without physical assistance. All individuals were examined with the BESTest and with the Mini-BESTest and S-BESTest scored based on the BESTest results. The data were analyzed using a Rasch analysis (partial credit model). RESULTS: The Mini-BESTest results revealed a correctly functioning rating scale, good fit of the data to the model (apart from 1 overfit item), good reliability for both persons and items (6 statistically detectable levels of balance ability), local dependence between 1 item pair, and essential unidimensionality. The S-BESTest results demonstrated disordered rating scale thresholds (1 response option required collapsing), good fit of the data to the model (apart from 1 underfit item), good reliability for both persons and items (5 statistically detectable levels of balance ability), local dependence between 2 item pairs, and essential unidimensionality. CONCLUSION: The analyses confirmed that the reliability of the S-BESTest was good and unidimensional and that the test provides several improved points, such as item redundancy and local independence of items. Nevertheless, the Mini-BESTest results supported previous findings as a whole and were better than those from the S-BESTest. IMPACT: Rasch analysis demonstrated that the Mini-BESTest was a better balance assessment scale than the S-BESTest for individuals with stroke based on its psychometric properties. The Mini-BESTest may serve as a useful scale for assessing balance in individuals with stroke, and a keyform plot and strata may help clinical decision-making in terms of interpreting scores and goal setting.
Subject(s)
Disability Evaluation , Stroke , Aged , Cross-Sectional Studies , Humans , Postural Balance/physiology , Psychometrics , Reproducibility of Results , Retrospective StudiesABSTRACT
BACKGROUND AND PURPOSE: Walking speed can be used to identify characteristics of frailty in older adults. It has a strong positive correlation with balance abilities. The Brief-Balance Evaluation Systems Test (Brief-BESTest) was developed to assess functions of the 6 balance control systems in a short time. However, for community-dwelling older adults, the relationship between walking speed and the Brief-BESTest needs to be clarified. Even the cutoff scores for each Brief-BESTest section should be indicated for physical therapists to effectively evaluate balance deficits. Our objective was to establish cutoff scores for individual Brief-BESTest sections, determine fast or slow walkers in community-dwelling older adults, and investigate the relationship between balance control systems and walking speed. METHODS: In a cross-sectional study involving 55 participants 77 years and older, the Brief-BESTest was evaluated after grouping the participants based on their walking speeds in public community centers. We compared the age, history of falls, handgrip strength, quadriceps strength, appendicular skeletal muscle mass index, comfortable walking speeds, and the Brief-BESTest scores between the fast- and slow-walking groups by using the independent t test, Fisher exact test, or Mann-Whitney U test. We also determined the receiver operating characteristic curves, and calculated the cutoff, area under the curve (AUC), sensitivity, and specificity of each section. RESULTS: All sections of the Brief-BESTest, except Section 1 (Biomechanical Constraints) were able to differentiate between fast and slow walkers in community-dwelling older women. Section VI (Stability in Gait) showed the highest AUC (0.83) and the cutoff score for the fast- and slow-walker groups was 3.0 points (sensitivity = 0.85, specificity = 0.81). Sections III, IV, and V (Anticipatory, Reactive, and Sensory Orientation, respectively) had moderate AUC (0.71-0.72). Sections I and II (Stability Limits) showed weak correlations with the walking speed. CONCLUSIONS: Three sections (III, anticipatory postural adjustments; IV, reactive postural responses; and VI, stability in gait) could differentiate between fast and slow walkers. Section VI was a particularly important balance function measurement that differentiated the walking speed with the highest accuracy. Therefore, it should be a primary focus when physical therapists treat community-dwelling older adults.
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Frailty , Walking Speed , Aged , Cross-Sectional Studies , Disability Evaluation , Female , Hand Strength , Humans , Independent Living , Postural Balance/physiologyABSTRACT
OBJECTIVE: To determine which sections of the Balance Evaluation Systems Test (BESTest) distinguish levels of post-stroke functional walking status and to establish their cut-off scores. DESIGN: A retrospective cross-sectional study. SUBJECTS AND METHODS: The BESTest was administered to 87 stroke patients who were able to walk without physical assistance upon discharge from the hospital. Subjects were divided into 3 functional walking status groups: namely, household ambulators, limited community ambulators, and unlimited community ambulators. The receiver operating characteristic curve was determined and the cut-off score and area under the receiver operating characteristic curve (AUROC) of each section calculated. RESULTS: In the comparison of household and limited community ambulators, the accuracies of all BESTest sections were moderate (AUROC>0.7), and the cut-off scores were 36.1-78.6%. In the comparison of limited and unlimited community ambulators, one section (stability in gait) had high accuracy (AUROC=0.908, cut-off scores=73.8%) and 3 sections (biomechanical constraints, anticipatory postural adjustments, and postural response) had moderate accuracy (AUROC=0.8120-0.834, cut-off scores=75.0-83.4%). CONCLUSION: This study demonstrated that different sections of the BESTest had different abilities to discriminate levels of post-stroke functional walking status, and identified cut-off values for targeted improvement.
Subject(s)
Postural Balance , Stroke Rehabilitation , Stroke , Walking , Aged , Aged, 80 and over , Cross-Sectional Studies , Female , Humans , Male , Middle Aged , Retrospective Studies , Walking SpeedABSTRACT
[Purpose] We aimed to examine the accuracy of heart rate monitors worn on the wrist by patients with stroke. The wrist worn heart rate monitor could improve the quality of rehabilitation by monitoring exercise intensity during physical therapy. [Participants and Methods] Thirty inpatients with subacute hemiparetic stroke wore heart rate monitors on both (non-paretic and paretic) wrists, as well as a chest heart rate monitor. We recorded the heart rate values measured at the wrist and chest every minute during physical therapy sessions. The wrist monitors were an optical heart rate measurement device based on photoplethysmography, and the chest monitor was a traditional chest device based on electrocardiography. The relative and absolute reliabilities between the heart rate measurements from the wrist and chest monitors were calculated. [Results] The intraclass correlation coefficients for model 2.1 ranged from 0.75 to 0.79. Bland-Altman analysis revealed a very slight fixed bias; however, no significant proportional bias was observed. For the non-paretic and paretic sides, the lower and upper limits of agreement ranged from -21.8 to 23.8 beats/min and from -20.8 to 21.6 beats/min, and the mean absolute percentage errors were 6.7% and 5.9%, respectively. The Cohen's d value was small. [Conclusion] The relative reliability of the wrist heart rate monitors was substantial. The absolute reliability as bias in wrist heart rate and chest heart rate was small, but heart rates estimated from wrist monitors were not particularly accurate.
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[Purpose] To compare the sensitivity to change and responsiveness of the Balance Evaluation Systems Test, Mini-Balance Evaluation Systems Test, and Brief-Balance Evaluation Systems Test in patients with subacute cerebral infarction. [Participants and Methods] Thirty patients with subacute cerebral infarction participated in this study. The Balance Evaluation Systems Test, Mini-Balance Evaluation Systems Test, Brief-Balance Evaluation Systems Test, Berg Balance Scale, and ambulatory ability were assessed on admission and discharge. Sensitivity to change was calculated using the effect size, standardized response mean, and relative efficiency. Responsiveness was analyzed by comparing the ability of the difference between the scores of the balance assessments at admission and discharge in classifying the participants' ambulatory independence. [Results] All assessments showed significant improvement from admission to discharge. The effect size of the three versions of the Balance Evaluation Systems Test ranged from 0.41 to 0.69. The standardized response mean ranged from 0.75 to 1.28. The cutoff score was 16.7% for the Balance Evaluation Systems Test, 5.5 points for the Mini-Balance Evaluation Systems Test, 1.5 points for the Brief-Balance Evaluation Systems Test, and 3.5 points for the Berg Balance Scale. [Conclusion] The sensitivity to change of the three versions of the Balance Evaluation Systems Test was high or moderate. However, the Mini-Balance Evaluation Systems Test had the highest responsiveness, as determined with the extent of ambulatory independence.
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Conditions underlying balance impairment should be identified to improve knowledge regarding clinical interventions for frail older adults. This study aims to explore the relationship between balance functions and frailty by using the brief balance evaluation systems test (BESTest), which can assess biomechanical constraints, stability limits/verticality, anticipatory postural adjustments (APAs), reactive postural responses, sensory orientation and stability in gait. A total of 75 community-dwelling older women were included in this cross-sectional study. We evaluated frailty by using the Kihon checklist and assessed the participants' balance functions by using the Brief BESTest. We performed the Mann-Whitney U test and receiver operating characteristic curve analysis to compare each balance function between frail and nonfrail participants. Twenty-two of the 75 (29.3%) participants were included in the frailty group. We noted significant differences between the frailty and nonfrailty groups with regard to stability limit, APAs, sensory orientation, and stability in gait (P = 0.010, 0.001, 0.008 and <0.001, respectively). In terms of determining frailty and nonfrailty, APAs and stability in gait were moderately accurate (the area under the curve = 0.730 and 0.713, respectively). APAs showed the highest sensitivity (0.864), whereas stability limits, sensory orientation, and stability in gait showed the highest specificity (0.943, 0.849 and 0.868, respectively). Thus, frail and nonfrail older adults showed significantly different balance functions, such as stability limits, APAs, sensory orientation and stability in gait. The Brief BESTest is useful for evaluating balance functions in relation to frailty.