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Record W4414511140 · doi:10.1186/s43161-025-00320-z

Knowledge, skill, and awareness of physiotherapists on cultural competence in southwest Nigeria

2025· article· en· W4414511140 on OpenAlexaboutno aff
Joana Adeleke, Victor Adelua, Joseph Ayotunde Aderonmu, Michael O. Ogunlana

Bibliographic record

VenueBulletin of Faculty of Physical Therapy · 2025
Typearticle
Languageen
FieldSocial Sciences
TopicCultural Competency in Health Care
Canadian institutionsnot available
Fundersnot available
KeywordsCultural competenceCompetence (human resources)ChecklistOddsOdds ratioCultural diversityLogistic regression

Abstract

fetched live from OpenAlex

Abstract Background Physiotherapists need to be culturally competent to provide effective services to healthcare users of diverse cultures. Here, we investigated the association between selected sociodemographic characteristics and the knowledge, skills, and awareness of cultural competence among physiotherapists in southwest Nigeria. Additionally, we examined sociodemographic variables that predict cultural competence. Methods This study was cross-sectional in design. We employed a multistage sampling technique to recruit physiotherapists ( n = 188) in southwest Nigeria who completed the Cultural Competence Self-Assessment Checklist of the Central Vancouver Island Multicultural Society. We tested associations between sociodemographic variables and cultural competence with chi-square tests, while we determined predictors of cultural competence using logistic regression. The statistical significance was set at p < 0.05. Results We found a significant association between cultural competence skills and the level of education indicated by greater scores in cultural competence skills by physiotherapists with a bachelor’s or PhD degree than those with a master’s degree. Prediction models showed that specialized physiotherapists and those with either a bachelor’s or PhD degree had higher odds of being classified as having good cultural competence knowledge than rotational physiotherapists or those with a master’s degree, respectively. Conversely, physiotherapists specializing in orthopedics, musculoskeletal, or sports had lower odds of being classified as having good cultural competence awareness. Greater years of experience increased the odds of being classified as having good skills in cultural competence. However, holding a master’s degree lowered the odds of being classified as having good cultural competence skills compared to those with a bachelor’s or PhD degree. Conclusion The level of physiotherapists’ education is associated with cultural competence skills. However, specialization, level of education, and years of experience are important predictors of knowledge, awareness, and skill in cultural competence. Our findings suggest that continued professional education and specialization training may be beneficial in improving the cultural competence of physiotherapists.

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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.641
Threshold uncertainty score0.746

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
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 head0.042
GPT teacher head0.399
Teacher spread0.357 · 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 routes1
Has abstractyes

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