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Record W2949473534 · doi:10.3138/ptc-2018-0071

Reliability, Validity, and Responsiveness of the Mini-Balance Evaluation Systems Test in Ambulatory Individuals with Multiple Sclerosis

2019· article· en· W2949473534 on OpenAlexvenueno aff
Kirsten Potter, Rachel Bowling, Lindsey Kavanagh, Ashley Stone, Brittany Witt, Ashley Wooldridge

Bibliographic record

VenuePhysiotherapy Canada · 2019
Typearticle
Languageen
FieldHealth Professions
TopicBalance, Gait, and Falls Prevention
Canadian institutionsnot available
Fundersnot available
KeywordsReliability (semiconductor)Balance (ability)Test (biology)AmbulatoryMultiple sclerosisBalance testPhysical medicine and rehabilitationValidityPhysical therapyMedicineReliability engineeringPsychologyComputer scienceClinical psychologyPsychometricsPsychiatryEngineering

Abstract

fetched live from OpenAlex

Purpose: The purpose of this study was to determine the reliability, validity, and responsiveness of the Mini-Balance Evaluation Systems Test (MBT) in persons with multiple sclerosis (pwMS). Method: A total of 32 pwMS completed a questionnaire on disease severity, the Activities-specific Balance Confidence Scale (ABC), and the MBT. The MBT was re-administered 1 week later. Results: The interrater and test–retest reliability of the total MBT and subscales were excellent. The standard error of measurement for the total MBT, calculated from test–retest and interrater reliability, respectively, was 1.32 and 1.07. The minimal detectable change (MDC) for the total MBT was 3.74; the MDC for the subscales ranged from 0.98 (sensory) to 2.38 (gait). The correlations between individual subscale scores and the total MBT, among subscales, and between the total MBT and disease severity and ABC were excellent. Correlations between the total MBT and age, MS type, and fall and imbalance histories were moderate. Disease severity and ABC scores were the strongest predictors of MBT score. No floor effects were found. Ceiling effects were found for two subscales, but not for the total MBT. Conclusions: The MBT is reliable and valid in pwMS. MDC values will facilitate assessing the effectiveness of treatment. Because ceiling effects were found for two subscales, but not the total MBT, it is recommended that clinicians administer the MBT in its entirety.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.051
Threshold uncertainty score0.690

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.034
GPT teacher head0.325
Teacher spread0.291 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations12
Published2019
Admission routes1
Has abstractyes

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