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Record W2084566665 · doi:10.2340/16501977-0115

Participation after stroke: Comparing proxies’ and patients’ perceptions

2008· article· en· W2084566665 on OpenAlexafffund
Valérie Poulin, J. Desrosiers

Bibliographic record

VenueActa Dermato Venereologica · 2008
Typearticle
Languageen
FieldMedicine
TopicStroke Rehabilitation and Recovery
Canadian institutionsHealth and Social Services Centre University Institute of Geriatrics of Sherbrooke
FundersCanadian Institutes of Health Research
KeywordsIntraclass correlationProxy (statistics)MedicineStroke (engine)Activities of daily livingCognitionGerontologyPerceptionPhysical therapyClinical psychologyPsychometricsPsychologyPsychiatry

Abstract

fetched live from OpenAlex

OBJECTIVE: This study aimed: (i) to determine the level of agreement between responses of people with stroke and their proxies on a participation questionnaire, and (ii) to explore patient and proxy characteristics related to disagreement between their responses. DESIGN: Cross-sectional study. SUBJECTS: A total of 40 community-dwelling people with stroke and their proxies (total n = 80). METHODS: Participants were evaluated separately in face-to-face interviews using the Assessment of Life Habits questionnaire (LIFE-H 3.1), which documents participation in daily activities and social roles. Sociodemographic and clinical variables, such as severity of motor impairment and cognitive functions, were also collected. RESULTS: Moderate to excellent agreement was found for the LIFE-H total score (intraclass correlation coefficient (ICC): 0.82), daily activities (ICC: 0.87) and social roles (ICC: 0.73) sub-scores. Proxies perceived more disruptions in participation than patients in several life domains (p = 0.035-0.001), but the differences between their scores were generally not clinically meaningful. Severity of motor disabilities was the best predictor of disagreement between patients and proxies. CONCLUSION: These acceptable levels of agreement support the use of proxy responses to estimate the participation of people unable to respond themselves. However, some characteristics contributing to disagreement between respondents, such as severity of motor disabilities, should be considered when interpreting proxy information.

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)0.000
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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.337

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 studies0.0000.000
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 head0.024
GPT teacher head0.267
Teacher spread0.243 · 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

Citations33
Published2008
Admission routes2
Has abstractyes

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