From clinic to smartphone evaluating the i-TUG for balance and fall risk in chronic stroke

Gait speed is commonly used to assess walking ability in persons with stroke. Previous research related to the psychometric properties of gait speed has been conducted primarily with individuals who were able to walk independently and/or were in the later stages of recovery after stroke. The purpose of this research was to examine the test-retest reliability and minimal detectable change (MDC90) of gait speed in individuals with stroke who required varying levels of assistance to ambulate during rehabilitation. Patients who could ambulate with or without physical assistance and were undergoing inpatient rehabilitation were recruited. Gait speed was measured over the middle five meters of a nine-meter walk at a comfortable pace. Data were analyzed using the intraclass correlation coefficient (ICC2,1) and the MDC90. Thirty-five patients who were a mean 34.5 (standard deviation = 17.7) days post-stroke agreed to participate. For all the subjects combined, the ICC2,1 was 0.862 and MDC90 was 0.30 m/sec. For the 13 subjects who required physical assistance to walk, the ICC2,1 = 0.971 and MDC90 = 0.07 m/sec. For the 22 subjects who could walk without physical assistance, the ICC2,1 = 0.80 and MDC90 = 0.36 m/sec. Gait speed is a reliable measure of walking ability for a wide variety of patients undergoing rehabilitation after stroke. Gait speed is more sensitive to change in patients who require physical assistance to walk than in those who can walk without assistance. A change of more than 0.30 m/sec may be necessary in order to determine whether a change in gait speed exceeds measurement error and patient variability.

BackgroundVarious outcome measures are used for the assessment of balance and mobility in patients with stroke. The purpose of the present study was to examine test-retest reliability, construct validity, and responsiveness of the Timed Up and Go Test (TUG), Berg Balance Scale (BBS), and Dynamic Gait Index (DGI) for measuring balance in patients with chronic stroke.MethodsFifty-six patients (39 male and 17 female) with chronic stroke participated in this study. A senior physical therapist assessed the test-retest reliability and validity of three scales, including the DGI, TUG, and BBS over two testing sessions. In addition, the third assessment of each scale was taken at the time of discharge to determine the responsiveness of the three outcome measures.ResultsThe reliability of the TUG (intraclass correlation coefficient [ICC2,1] = 0.98), DGI (ICC2,1 = 0.98) and BBS (ICC2,1 = 0.99) were excellent. The standard error of measurement (SEM) of the TUG, DGI, and BBS were 1.16, 0.71, and 0.98, respectively. The minimal detectable change (MDC) of the TUG, DGI, and BBS were 3.2, 1.9, and 2.7, respectively. There was a significant correlation found between the DGI and BBS (first reading [r] = 0.75; second reading [r] = 0.77), TUG and BBS (first reading [r] = −.52; second reading [r] = −.53), and the TUG and DGI (first reading [r] = 0.45; second reading [r] = 0.48), respectively.ConclusionsThe test-retest reliability of the TUG, BBS, and DGI was excellent. The DGI demonstrated slightly better responsiveness than TUG and BBS. However, the small sample size of this study limits the validity of the results.

The Reproducibility of Berg Balance Scale and the Single-Leg Stance in Chronic Stroke and the Relationship Between the Two Tests

The aim of the study was to establish the test-retest reliability, clinical significance and precision of four mobility and balance measures - the Timed 25-Foot Walk, Six-minute Walk, Timed Up and Go and the Berg Balance Scale - in individuals moderately affected by multiple sclerosis. Twenty four participants with multiple sclerosis (Extended Disability Status Score 5-6.5) were assessed on four measures of mobility and balance. The Timed 25-Foot Walk, Six-minute Walk and Timed Up and Go mobility outcome measures and the Berg Balance Scale were assessed by one assessor one week apart. Intraclass correlation coefficient (ICC) analysis was carried out to determine reliability. Minimal detectable change values were calculated to determine clinical significance; the standard error of each measurement was calculated to assess precision. All four outcome measures were found to be reliable: Timed 25-Foot Walk ICC=0.94, Six-minute Walk Test ICC=0.96, Timed Up and Go ICC=0.97 and Berg Balance Scale ICC=0.96. Minimal detectable change values were as follows: Timed 25-Foot Walk=12.6 s, Six-minute Walk Test=76.2 m, Timed Up and Go=10.6 s and Berg Balance Scale=7 points. Standard errors of measurement were as follows: Timed 25-Foot Walk=4.56 s, Six-minute Walk Test=27.48 m, Timed Up and Go=3.81 s and Berg Balance Scale=3 points. The test-retest reliability of these four outcome measures was found to be good. The calculated clinical significance and precision of these measures highlight the problems of assessing a heterogeneous clinical population.

To measure test-retest and interrater reliability of the Berg Balance Scale (BBS) in community-dwelling adults with mild to moderate Alzheimer disease (AD). Method : A sample of 15 adults (mean age 80.20 [SD 5.03] years) with AD performed three balance tests: the BBS, timed up-and-go test (TUG), and Functional Reach Test (FRT). Both relative reliability, using the intra-class correlation coefficient (ICC), and absolute reliability, using standard error of measurement (SEM) and minimal detectable change (MDC95) values, were calculated; Bland-Altman plots were constructed to evaluate inter-tester agreement. The test-retest interval was 1 week. Results : For the BBS, relative reliability values were 0.95 (95% CI, 0.85-0.98) for test-retest reliability and 0.72 (95% CI, 0.31-0.91) for interrater reliability; SEM was 6.01 points and MDC95 was 16.66 points; and interrater agreement was 16.62 points. The BBS performed better in test-retest reliability than the TUG and FRT, tests with established reliability in AD. Between 33% and 50% of participants required cueing beyond standardized instructions because they were unable to remember test instructions. Conclusions : The BBS achieved relative reliability values that support its clinical utility, but MDC95 and agreement values indicate the scale has performance limitations in AD. Further research to optimize balance assessment for people with AD is required.

Falls are a common and serious problem after stroke, often leading to injuries, loss of independence, and increased health care usage. Functional balance, a primary risk factor for falls, is frequently impaired in individuals with hemiparetic gait impairments. Previous research with the iStride gait device (Moterum Technologies, Inc) showed that functional balance improved immediately following 4 weeks of treatment. However, the long-term retention of these effects remains unknown and could improve the management of balance and mobility impairments after stroke. This study aimed to determine the long-term functional balance effects of treatment with the gait device for individuals with hemiparetic gait impairments from stroke. Eighteen individuals with chronic stroke (9 male, 9 female, mean age 57 years, and 60 months post stroke) participated in twelve 30-minute treatment sessions with the gait device. During each treatment session, the device was worn on the less affected lower extremity during overground ambulation in the participant's home. All treatment and assessments were overseen by licensed physical therapists. Functional balance was evaluated using the Berg Balance Scale (BBS), the Timed Up and Go (TUG) test, and the Functional Gait Assessment (FGA) at baseline and 5 posttreatment follow-ups: 1 week, 1 month, 3 months, 6 months, and 12 months after treatment. Balance improvement was analyzed using repeated-measures ANOVA from baseline to each follow-up time frame, correlation analysis, comparison to each outcome's minimal detectable change (MDC) value, evaluation of fall risk classification changes, and subjective questionnaires. Participants retained statistically significant improvements on the BBS, TUG, and FGA compared with baseline at all posttreatment time frames (P<.05). All participants initially identified as being at risk for falls reduced their fall risk on at least one outcome during one or more follow-up assessments. At 12 months post treatment, the average improvement on all 3 outcomes remained above their respective MDC thresholds, demonstrated by a 5.9-point improvement on the BBS, a 4.9-second improvement on the TUG, and a 34.6% (3.8-point) improvement on the FGA. At least 72% of participants exceeded the MDC of BBS, at least 44% exceeded the MDC of TUG, and at least 66% exceeded the MDC of FGA at every posttreatment time point. Subjective questionnaire responses indicated that 88% of participants perceived functional balance improvement following treatment with the gait device. The findings of this study indicate that treatment with the gait device may result in long-term functional balance improvement for individuals with hemiparetic gait impairments from stroke. Larger, controlled studies are recommended to confirm these findings.

Test-retest and inter-rater reliability and construct validity of the 2-minute step test in individuals with Parkinson's disease

Objective: The purpose of the present study was to verify the validity of the Turkish version of the Postural Assessment Scale for Stroke Patients (PASS) in chronic stroke, and to compare its validity, reliability, and responsiveness characteristics with Berg Balance Scale (BBS), Brunel Balance Assessment (BBA).Method: 49 chronic stroke patients were included in the study. Those participating in the study were applied PASS, BBS and BBA on the first day. To measure the test-retest reliability, the second assessment for the scales was performed by the same physiotherapist 1 week after the initial evaluation.Results: According to the correlation analysis, a very high level of correlation was found between the PASS first and second assessment scores (r = 0.984). Cronbach Alpha Coefficient was found to be 0.995 (excellent). The Intraclass Correlation Coefficient (ICC) value for PASS was 0.995. A high level of correlation was found between PASS, BBS and BBA. No ceiling and floor effects were observed for PASS.Conclusion: The results of our study showed that Turkish version of PASS is a valid and reliable scale in chronic stroke patients and all these three scales, which are commonly used to assess balance in stroke patients are, made repeatable measurements in patients with chronic stroke. The test re-test reliability values of these three scales were found to be excellent. Minimal detectable change values, which are used to determine a real change in balance in stroke patients by clinicians, were found to be close to each other for these balance scales.

People with neurocognitive impairments have a higher risk of falls compared to other older adults and require specific cues for evaluation. Additional options for balance testing is necessary to improve reliability and assessment of fall risk. This study established the efficacy of the novel Balance Assessment for Neurocognitive Deficits (BAND) in order to improve measurement of fall risk for people with neurocognitive impairments. The BAND was analyzed for construct validity and reliability through comparison with the Berg Balance Scale (BBS). Older adults with neurocognitive impairments (n=15) in subacute and long-term settings performed BAND and BBS assessments during therapy. Clinicians determined ambulation assistance, fall risk, and time. Calculation of intraclass correlation coefficients (ICCs), standard error of measurement (SEM), and minimal detectable change (MDC95) values was completed. Corresponding ICC values were 0.985 (95% confidence interval (95% CI), 0.956-0.995) for test-retest reliability and 0.995 (95% CI, 0.985-0.998) for inter-rater reliability. Other values included SEM=0.79 and MDC95=2.18. A linear-regression graph including Pearson’s coefficient (r) demonstrated validity through comparing BAND and BBS and showed a strong correlation (r=0.94, 95% CI, 0.825-0.98). A Bland-Altman plot was created to assess agreement between clinicians, and the mean difference was 0.2667 with 95% limits of agreement (-0.897 to 1.430). The BAND demonstrated excellent reliability and agreement for clinicians providing the test. Further research is necessary to compare the BAND with additional assessments and to demonstrate the utility in expanded populations including the community.

Concurrent validity of walking speed measured by a wearable sensor and a stopwatch during the 10-meter walk test in individuals with stroke

Minimal Detectable Changes of the Berg Balance Scale, Fugl-Meyer Assessment Scale, Timed “Up & Go” Test, Gait Speeds, and 2-Minute Walk Test in Individuals With Chronic Stroke With Different Degrees of Ankle Plantarflexor Tone

Total Motion Release® (TMR®) is a novel treatment paradigm used to restore asymmetries in the body (eg,pain, tightness, limited range of motion). Six primary movements, known as the Fab 6, are performed by the patient and scored using a 0 to 100 scale. Clinicians currently utilize the TMR® scale to modify treatment, assess patient progress, and measure treatment effectiveness; however, the reliability of the TMR® scale has not been determined. It is imperative to assess scale reliability and establish minimal detectable change (MDC) values to guide clinical practice. To assess the reliability of the TMR® scale and establish MDC values for each motion in healthy individuals in a group setting. Retrospective analysis of group TMR® assessments. University classroom. A convenience sample of 61 students (23 males and 38 females; 25.48 [5.73]y), with (n = 31) and without (n = 30) previous exposure to TMR®. The TMR® Fab 6 movements were tested at 2 time points, 2 hours apart. A clinician with previous training in TMR® led participant groups through both sessions while participants recorded individual motion scores using the 0 to 100 TMR® scale. Test-retest reliability was calculated using an intraclass correlation coefficient (2,1) for inexperienced, experienced, and combined student groups. Standard error of measurement and MDC values were also assessed for each intraclass correlation coefficient. Self-reported scores on the TMR® scale. Test-retest reliability ranged from 0.57 to 0.95 across the Fab 6 movements, standard error of measurement values ranged from 4.85 to 11.77, and MDC values ranged from 13.45 to 32.62. The results indicate moderate to excellent reliability across the Fab 6 movements and a range of MDC values. Although this study is the first step in assessing the reliability of the TMR® scale for clinical practice, caution is warranted until further research is completed to establish reliability and MDC values of the TMR® scale in various settings to better guide patient care.

The purpose of this study was to determine the reliability and minimal detectable change (MDC) of various outcome measures that are potentially suitable for evaluating postural control in individuals with chronic obstructive pulmonary disease (COPD). This was a test-retest reliability study. Participants with COPD were asked to complete 5 balance assessments, separated by 1 week. The assessments included Timed Up and Go (TUG) Test, Unipodal Stance Test (UST), Tinetti Test, Berg Balance Scale (BBS), and the Activities Balance Confidence (ABC) scale. Test-retest reliability using intraclass correlation coefficients and MDC values were calculated for each assessment. All 5 outcome measures were found to have excellent test-retest reliability (r > 0.90). The MDC95 values were 3.01 seconds and 4.03 seconds for the TUG Test and the UST, respectively; 3.23 points and 3.46 points for the Tinetti Test and the BBS, respectively; and 8.25% for the ABC scale. The TUG, UST, BBS, the Tinetti Test, and the ABC scale are reliable outcome measures for use with people with COPD, recognizing that individual variability of performance is high. Minimal detectable change scores at the 95% CI can be used to assess change in performance over time and the impact of interventions in this population.

Rehabilitation research for individuals with chronic stroke is increasingly addressing spatiotemporal asymmetries (STA). Understanding the reliability of STA between sessions is essential for determining whether treatment responses exceed day-to-day variation. The purpose of this study was to determine the minimal detectable change (MDC) and test-retest reliability in STA and gait speed measures for individuals with chronic stroke. Twenty-six individuals with chronic (>6 months) stroke participated in 2 visits. At each visit, participants walked across a 14-ft (4.3-m) GAITRite mat at comfortable gait speed (CGS) and fast gait speed (FGS). Spatiotemporal asymmetries ratios (paretic/nonparetic limb) were calculated for step length, stance time, and swing time. Intraclass correlation coefficients (ICC, 2,1) were calculated to determine reliability between sessions. Minimal detectable change values were calculated to determine the smallest change that is considered "real." Spatiotemporal asymmetry measures were consistent between sessions, with ICCs ranging from 0.93 to 0.98. Asymmetry ratio MDC values were calculated for step length (CGS: 0.15; FGS: 0.19), swing time (CGS: 0.26; FGS: 0.20), and stance time (CGS: 0.09; FGS: 0.10). Gait speed MDC was 0.20 m/s and 0.22 m/s, respectively, for the CGS and FGS walking conditions. There were considerable differences among MDC values for the various STA measures, suggesting that larger changes will be necessary to show improvement for certain measures (eg, swing time asymmetry). These data will assist with setting clinical goals for patients with chronic stroke and will be useful for evaluating interventions designed to minimize temporal and spatial interlimb asymmetries during walking.

Motor learning studies face the challenge of differentiating between real changes in performance and random measurement error. While the traditional p-value-based analyses of difference (e.g., t-tests, ANOVAs) provide information on the statistical significance of a reported change in performance scores, they do not inform as to the likely cause or origin of that change, that is, the contribution of both real modifications in performance and random measurement error to the reported change. One way of differentiating between real change and random measurement error is through the utilization of the statistics of standard error of measurement (SEM) and minimal detectable change (MDC). SEM is estimated from the standard deviation of a sample of scores at baseline and a test–retest reliability index of the measurement instrument or test employed. MDC, in turn, is estimated from SEM and a degree of confidence, usually 95%. The MDC value might be regarded as the minimum amount of change that needs to be observed for it to be considered a real change, or a change to which the contribution of real modifications in performance is likely to be greater than that of random measurement error. A computer-based motor task was designed to illustrate the applicability of SEM and MDC to motor learning research. Two studies were conducted with healthy participants. Study 1 assessed the test–retest reliability of the task and Study 2 consisted in a typical motor learning study, where participants practiced the task for five consecutive days. In Study 2, the data were analyzed with a traditional p-value-based analysis of difference (ANOVA) and also with SEM and MDC. The findings showed good test–retest reliability for the task and that the p-value-based analysis alone identified statistically significant improvements in performance over time even when the observed changes could in fact have been smaller than the MDC and thereby caused mostly by random measurement error, as opposed to by learning. We suggest therefore that motor learning studies could complement their p-value-based analyses of difference with statistics such as SEM and MDC in order to inform as to the likely cause or origin of any reported changes in performance.