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Record W4386886446 · doi:10.3138/ptc-2023-0006

Assessing Cultural Competence Among Canadian Physiotherapists: A Qualitative Analysis of a Cross-Sectional Survey, Part 2

2023· article· en· W4386886446 on OpenAlexafffundvenueabout
Nora Bakaa, Jasdeep Dhir, Danielle Southerst, Silvano Mior, Pierre Côté, Lisa C. Carlesso, Joy C. MacDermid, Luciana Macedo

Bibliographic record

VenuePhysiotherapy Canada · 2023
Typearticle
Languageen
FieldSocial Sciences
TopicCultural Competency in Health Care
Canadian institutionsWestern UniversityOntario Tech UniversityCanadian Memorial Chiropractic CollegeMcMaster University
FundersUniversity of Ontario Institute of TechnologyMcMaster UniversityWorld Health Organization
KeywordsThematic analysisClosed-ended questionCompetence (human resources)Medical educationQualitative researchCross-sectional studyPsychologyInclusion (mineral)MedicineNursingSociologySocial psychology

Abstract

fetched live from OpenAlex

Purpose: This study is the second part of a cross-sectional questionnaire aiming to identify Canadian physiotherapists’ needs and strategies for physiotherapy associations to improve cultural competence in physiotherapy. Method: We conducted a descriptive qualitative analysis of one open-ended question of a cross-sectional questionnaire. We used inductive thematic analysis to develop and modify codes as concepts emerged. Inductive analysis was used to develop the codebook from the qualitative finding of the research study. Results: We received a total of 806 responses, and of those individuals, 485 provided one to three suggestions as part of the open-ended question. We identified two major themes from our open-ended question: (1) education and (2) institutional change. There were four subthemes categorized under education: (1) diversity, equity, inclusion (DEI) training opportunities, (2) resources, (3) accessibility to education, and (4) representation within educational resources. Institutional change was categorized into three subthemes: (1) advocacy, (2) support, and (3) representation in leadership. Conclusions: The results of this questionnaire act as a meaningful and necessary call to action to key stakeholders in the physiotherapy profession. There is a need for educational institutions, regulatory bodies, and associations to re-evaluate policies surrounding cultural competence to improve the delivery of culturally safe health care.

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)0.000
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 score0.022
Threshold uncertainty score0.843

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.005
Science and technology studies0.0010.001
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.108
GPT teacher head0.485
Teacher spread0.376 · 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

Citations6
Published2023
Admission routes4
Has abstractyes

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