Evidence map›Paper›PMID 39113593›Full record

ArticlePhysical therapy2024

Computerized Adaptive Testing for the Berg Balance Scale Improves Measurement Efficiency Without Compromising Precision in People With Stroke.

Bryant A Seamon, Steven A Kautz, Craig A Velozo

Abstract read
In one paragraph

Article in Physical therapy, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Article
  2. Measurement Properties of the Functional Balance Ability Measure Across Subacute Neurologic Diagnoses.Archives of rehabilitation research and clinical translation · 2026
    Article
  3. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Bryant A SeamonRalph H. Johnson VA Medical Center, Charleston, South Carolina, USA.ORCID 0000-0002-3995-1052
Steven A KautzRalph H. Johnson VA Medical Center, Charleston, South Carolina, USA.
Craig A VelozoDivision of Occupational Therapy, Department of Rehabilitation Sciences, College of Health Professions, Medical University of South Carolina, Charleston, South Carolina, USA.

Funding

Treating Depression and Enhancing Locomotor Recovery Post-strokeP20GM109040 · NIGMS · MEDICAL UNIVERSITY OF SOUTH CAROLINA · PI KAUTZ, STEVEN A. · 2014 to 2024
$23.5M
Locomotor Experience Applied Post-Stroke (LEAPS)R01NS050506 · NINDS · UNIVERSITY OF FLORIDA · PI DUNCAN, PAMELA W. · 2005 to 2009
$13.3M
Quantitative Behavioral Assessment & Rehabilitation Core (QBAR)P30GM154630 · NIGMS · MEDICAL UNIVERSITY OF SOUTH CAROLINA · PI MARK S GEORGE · 2024 to 2026
$4.4M
RR&D Research Career Scientist Award ApplicationIK6RX003075 · VA · RALPH H JOHNSON VA MEDICAL CENTER · PI KAUTZ, STEVEN A. · 2020 to 2025
–
NIGMS NIH HHS P20 GM109040NIGMS NIH HHS P30 GM154630NIH Center of Biomedical Research Excellence in Stroke Recovery NIH P20 GM109040NIH HHS P20 GM109040NIH National Institute of Neurological Disorders and StrokeNINDS NIH HHS R01 NS050506Promotion of Doctoral Studies Level I Scholarship from the Foundation for Physical Therapy ResearchRRD VA I01 RX001935RRD VA IK6 RX003075VA Office of Research and DevelopmentVA/ORD Rehabilitation R&D Service 1I01RX001935
6 · The paper itself

Abstract

objectiveThe objectives of this study were to confirm the Berg Balance Scale's (BBS) measurement properties and unidimensionality with an item response theory analysis in persons with subacute and chronic stroke and to examine the precision and efficiency of computerized adaptive testing (CAT).

methodsData were obtained from 519 ambulatory persons with subacute and chronic stroke in 2 retrospective databases. A principal component analysis (PCA) of residuals was used to evaluate unidimensionality. BBS fit to a rating scale model versus a partial credit model was examined, and item parameters were generated for CAT calibration. Person measures from all 14 items were defined as actual balance ability. BBS CAT simulations were used to examine changes in measurement precision with increasing number of items administered and a precision-based stopping rule (0.5 logit standard error [SE] threshold).

resultsA PCA of residuals supports the BBS unidimensionality and Rasch analysis supports using the rating scale model for measurement. Maximum precision for BBS CAT was SE = 0.40 logits when administering all items. BBS CAT estimated balance ability was highly correlated with actual ability when 4 or more items were administered (r > 0.9). Precision was within 0.5 logits when 5 or more items were administered (SE < 0.48 logits). BBS CAT estimated balance ability was highly correlated with actual ability (r = 0.952) using a precision-based stopping rule. The average number of items administered with the precision-based stopping rule was 5.43.

conclusionThe BBS is sufficiently unidimensional, and the rating scale model can be used for measurement. BBS CAT is efficient and replicates the full instrument's reliability when measuring balance ability in ambulatory persons with subacute and chronic stroke. Future work should aim to enhance the interpretability of measures to facilitate clinical decision-making. IMPACT: BBS CAT provides an efficient way of measuring balance ability for individuals in stroke rehabilitation giving clinicians more time with patients.

Indexed as

Disability EvaluationPostural BalanceStroke RehabilitationAgedFemaleHumansMaleMiddle AgedPrincipal Component AnalysisPsychometricsReproducibility of ResultsRetrospective StudiesStrokeBalanceMeasurement – AppliedStroke

Identifiers

PMID39113593
PMCPMC11584411

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.