MétaCan
Menu
Back to cohort

Factor Structure and Reliability of the Brain Impairment Behavior Scale

2008· article· en· W1968204278 on OpenAlex
Jill I. Cameron, Angela M. Cheung, David L. Streiner, Peter C. Coyte, Mina Singh, Donna E. Stewart

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueJournal of Neuroscience Nursing · 2008
Typearticle
Languageen
FieldMedicine
TopicStroke Rehabilitation and Recovery
Canadian institutionsWomen's College HospitalUniversity of Toronto
FundersCanadian Institutes of Health Research
KeywordsApathyClinical psychologyPsychologyCognitionIrritabilityAffect (linguistics)Exploratory factor analysisFamily caregiversDistressPsychiatryPsychometricsMedicineGerontology

Abstract

fetched live from OpenAlex

Stroke is a leading cause of adult disability because of its physical and cognitive consequences. Cognitive changes are important contributors to family caregivers' experiences of emotional distress. To date, measures to assess cognition treat it as a global construct, but it is more likely that unique domains differentially affect family caregivers. The research objectives in this study were to: (1) identify the different domains of cognitive changes in the form of behavioral and psychological symptoms after stroke, and (2) establish the reliability of the Brain Impairment Behavior Scale (BIBS) in measuring cognitive domains. Family caregivers of stroke survivors (N = 300) completed the BIBS as part of cross-sectional and longitudinal studies. A subsample of caregivers completed the BIBS twice, 2 weeks apart, to examine the scale's test-retest reliability. We used exploratory factor analysis to identify four domains of behavioral and psychological symptoms in the BIBS: apathy, depression/emotional distress, comprehension/memory problems, and irritability. Internal consistency for the subscales representing each identified domain ranged from .78 to .91, and the 2-week intra-class correlation coefficients ranged from .75 to .88. Future research and clinical use of this measure will increase our understanding of how specific domains of stroke survivors' behavioral and psychological symptoms affect the well-being of family caregivers.

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.

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)0.000
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.541
Threshold uncertainty score0.198

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
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 head0.020
GPT teacher head0.308
Teacher spread0.289 · 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