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Record W4416298459 · doi:10.3390/disabilities5040106

Adaptation, Cross-Cultural Validation and Assessment of Measurement Properties of the French-Canadian Version of the Knowledge, Comfort, Approach and Attitude Towards Sexuality Scale (KCAASS) for Use in Stroke Rehabilitation

2025· article· en· W4416298459 on OpenAlexafffundabout
Louis-Pierre Auger, Isabelle Quintal, Katia Goulet, Mirabelle Miron, Simon La Charité-Harbec, Annie Rochette, Johanne Higgins

Bibliographic record

VenueDisabilities · 2025
Typearticle
Languageen
FieldMedicine
TopicStroke Rehabilitation and Recovery
Canadian institutionsUniversité de MontréalMcGill UniversityMcGill University Health CentreCentre Hospitalier Universitaire de SherbrookeUniversité de SherbrookeCentre for Interdisciplinary Research in Rehabilitation
FundersCentre for Interdisciplinary Research in Rehabilitation
KeywordsIntraclass correlationRehabilitationCronbach's alphaExploratory factor analysisStroke (engine)Scale (ratio)Reliability (semiconductor)Human sexuality

Abstract

fetched live from OpenAlex

This study aimed to adapt and translate the Knowledge, Comfort, Approach and Attitude towards Sexuality Scale (KCAASS) for stroke rehabilitation clinicians who are Canadian French speakers and to determine its measurement properties. The KCAASS was adapted for stroke rehabilitation by three occupational therapists and translated into Canadian French using a back-translation process. After being pretested, the resulting KCAASS-Stroke-FrCan was disseminated to seven rehabilitation centers in Quebec, Canada. Exploratory factor analysis, Cronbach alphas, intraclass correlation coefficients (ICCs), standard error of measurement (SEM), and minimal detectable change (MDC) were computed. 199 clinicians participated. Factor analysis revealed a four-factor solution. Internal consistency for the total score (α = 0.942) and subscales “Knowledge” (α = 0.834), “Comfort” (α = 0.966), and “Approach” (α = 0.836) were very good, and critical for “Attitude” (α = 0.628). Test–retest reliability was very good (0.81; p < 0.001) for the total score, good for “Knowledge” (0.69; p < 0.001) and “Comfort” (0.74; p < 0.001), very good for “Approach” (0.82; p < 0.001), and poor for “Attitude” (0.37; p = 0.003). SEM and MDC were presented. The KCAASS-Stroke-FrCan showed good measurement properties to assess stroke rehabilitation clinicians’ training needs and educational interventions.

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)0.002
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 score0.012
Threshold uncertainty score0.997

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.002
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 head0.082
GPT teacher head0.337
Teacher spread0.255 · 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

Citations0
Published2025
Admission routes3
Has abstractyes

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