Validity of the Performance-Oriented Mobility Assessment in Predicting Fall of Stroke Survivors: A Retrospective Cohort Study

An, SeungHeon; Lee, Yun-Bok; Lee, GyuChang

doi:10.1620/tjem.233.79

Cited by 18 publications

(10 citation statements)

References 28 publications

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“…Functional reach test Dynamic balance [10] Berg Balance scale Dynamic and static balance [11] Performance oriented mobility assessment Dynamic/static balance and gait abilities [12] Balance evaluation system Overall balance. Tests include sit to stand test, rise to toes, stand on one leg [13] Falls efficacy scale and balance confidence scale self-evaluation Subject ability/confidence in carrying out daily activities [14] Balance error scoring system (BESS) Static postural stability [15] Timed up and go (TUG) Mobility, static and dynamic balance [4] Five times sit to stand (FTSTS) test Lower-limb functionality, durability and balance [16] The TUG test can be carried out in the home environment with a non-clinical person's assistance.…”

Section: Measured Capabilitymentioning

confidence: 99%

Evaluation of Home-Based Rehabilitation Sensing Systems with Respect to Standardised Clinical Tests

Vourganas

Stanković

Michala

2019

Sensors

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With increased demand for tele-rehabilitation, many autonomous home-based rehabilitation systems have appeared recently. Many of these systems, however, suffer from lack of patient acceptance and engagement or fail to provide satisfactory accuracy; both are needed for appropriate diagnostics. This paper first provides a detailed discussion of current sensor-based home-based rehabilitation systems with respect to four recently established criteria for wide acceptance and long engagement. A methodological procedure is then proposed for the evaluation of accuracy of portable sensing home-based rehabilitation systems, in line with medically-approved tests and recommendations. For experiments, we deploy an in-house low-cost sensing system meeting the four criteria of acceptance to demonstrate the effectiveness of the proposed evaluation methodology. We observe that the deployed sensor system has limitations in sensing fast movement. Indicators of enhanced motivation and engagement are recorded through the questionnaire responses with more than 83% of the respondents supporting the system's motivation and engagement enhancement. The evaluation results demonstrate that the deployed system is fit for purpose with statistically significant ( c > 0.99, R 2 > 0.94, ICC > 0.96) and unbiased correlation to the golden standard. Author Contributions: Conceptualization, I.V.; methodology, I.V.; software, I.V.; validation, I.V.; formal analysis, I.V.; investigation, I.V.; resources, I.V.; data curation, I.V.; writing-original draft preparation, I.V.; writing-review and editing, L.S., V.S. and A.L.M.; visualization, I.V.; supervision, V.S. and L.S.; project administration, I.V.; funding acquisition, V.S. All authors have read and agreed to the published version of the manuscript.

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Section: Measured Capabilitymentioning

confidence: 99%

Evaluation of Home-Based Rehabilitation Sensing Systems with Respect to Standardised Clinical Tests

Vourganas

Stanković

Michala

2019

Sensors

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“…33,34 In the study, a substantial amount of positive change in Tinetti Total could be predicted by the initial dynamic balance and cognitive status of patient. Poor dynamic balance in Normalized FRI (high scores), and poor scores in Motor-FIM (low scores) associated with better Cognitive FIM (high scores) predict improvement in Tinetti Total.…”

Section: Discussionmentioning

confidence: 83%

Biodex Fall Risk Assessment in the Elderly With Ataxia

et al. 2016

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The aim of this study was to evaluate if the Biodex Fall Risk Assessment could provide an age-adjusted index useful for classifying patients at “risk of fall.”This was a cohort study conducted on 61 chronic patients, in stable conditions, having a history of ataxia, difficulty in walking or loss of balance, and aged >64 years. These patients were coming from home to our Institute undergoing a period of in-hospital standard rehabilitation. Assessment of clinical parameters was performed at entry. Functional scales (Functional Independence Measure [FIM] for motor and cognitive function, Barthel G, Tinetti POMA), and the Biodex Fall Risk Index (FRI) were performed at entry and discharge. The Normalized FRI, obtained adjusting FRI to the reported maximum predictive FRI for the relevant age, identified 2 types of patients: those with a greater risk of fall than expected for that age, labeled Case 1 (Normalized FRI>1); and those with an equal or even lesser risk of fall than expected for that age, labeled Case 0 (Normalized FRI≤1).FRI, Normalized FRI as well as independent variables as age, sex, pathology group, FIM, BarthelG, were considered in a multiple regression analysis to predict the functional improvement (i.e., delta Tinetti Total score) after rehabilitation.Normalized FRI is useful in assessing patients at risk of falls both before and after rehabilitation. At admission, the Normalized FRI evidenced high fall risk in 46% of patients (Case 1) which decreased to 12% after rehabilitation, being greater than age-predicted in 7 patients (Case 1–1) despite the functional improvement observed after the rehabilitation treatment. Normalized FRI evidenced Case 1–1 patients as neurological, “very old” (86% in age-group 75–84 years), and with serious events at 18 to 24 months’ follow-up. Normalized FRI, but not FRI, at admission was a predictor of improvement in Tinetti Total scores.The normalized FRI effectively indicated patients at higher risk of fall, in whom health deterioration, falls, or cognitive decline was later documented at follow-up. The normalized FRI could be a standardized measure for identifying frailer patients becoming a further criterium of discharge home and marker of fall risk at home.

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“…The BBS is a 14-item scale ranging from 0-4 to a total score of 56 used to assess balance during functional activities [11,12]. The POMA-B Scale consisted nine items using a 3-point ordinal scale to measure balance and risk of fall [13].…”

Section: Outcome Measuresmentioning

confidence: 99%

Role of Virtual Reality in Balance Training in Patients with Spinal Cord Injury: A Prospective Comparative Pre-Post Study

et al. 2020

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To evaluate the effects of game-based virtual reality (VR) training program for trunk postural control and balance in patients with spinal cord injury (SCI) and to assess the results according to the motor completeness (severity) of lesions using the American Spinal Injury Association Impairment Scale (AIS). Overview of Literature: Training with VR based gaming has a role to play in improving balance in patients with SCI. Methods: Patients with SCI (traumatic and non-traumatic) for <6 months were included in this hospital-based study. Participants were divided into two groups: experimental group (EG) consisting 21 patients, and control group (CG) consisting 12. Both groups underwent the conventional rehabilitation program. An additional training with semi-immersive VR therapy was conducted 5 days a week for 3 weeks in the EG with the focus on balance rehabilitation using the "Rhetoric." The outcome measures were the Berg Balance Scale (BBS), balance section of the Tinetti Performance-Oriented Mobility Assessment (POMA-B), and Functional Reach Score (FRS). Results: Both groups consisted of young participants (mean age, 28 and 30.5 years, respectively) and predominantly men (>80%). One-third of them had tetraplegia and two-third had paraplegia. Between-group analyses showed no statistically significant differences in the main effects between groups (p-value: BBS, 0.396; POMA-B, 0.238; FRS, 0.294), suggesting that the EG group did not show significant improvement in the trunk and posture at the end of training sessions than the CG group. Similarly, no significant difference was observed according to the severity (completeness) of SCI in the between-group analyses using the AIS (A/B vs. C/D). Conclusions: VR is an adjunctive therapy for balance rehabilitation in patients with SCI.

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Validity of the Performance-Oriented Mobility Assessment in Predicting Fall of Stroke Survivors: A Retrospective Cohort Study

Cited by 18 publications

References 28 publications

Evaluation of Home-Based Rehabilitation Sensing Systems with Respect to Standardised Clinical Tests

Evaluation of Home-Based Rehabilitation Sensing Systems with Respect to Standardised Clinical Tests

Biodex Fall Risk Assessment in the Elderly With Ataxia

Role of Virtual Reality in Balance Training in Patients with Spinal Cord Injury: A Prospective Comparative Pre-Post Study

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