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Record W2235772707 · doi:10.3138/ptc.2014-57gh

Enhanced Patient-Centred Care: Physiotherapists' Perspectives on the Impact of International Clinical Internships on Canadian Practice

2015· article· en· W2235772707 on OpenAlexaffvenueabout
Giulia Mesaroli, Anne-Marie Bourgeois, Ellen McCurry, Allison Condren, Peter Petropanagos, Michelle Fraser, Stephanie Nixon

Bibliographic record

VenuePhysiotherapy Canada · 2015
Typearticle
Languageen
FieldHealth Professions
TopicGlobal Health Workforce Issues
Canadian institutionsCanadian Physiotherapy AssociationUniversity of Toronto
Fundersnot available
KeywordsInternshipLow and middle income countriesQualitative researchMedicineNursingHealth careMedical educationCreativityPsychologyDeveloping countryPolitical scienceSociologySocial psychology

Abstract

fetched live from OpenAlex

PURPOSE: To explore the perspectives of physiotherapists who participated in an international clinical internship (ICI) in low- or middle-income countries (LMICs) during their physiotherapy (PT) training in a Canadian PT programme regarding the ICI's impact on their PT practice in Canada. METHODS: This qualitative descriptive study used in-depth semi-structured interviews. Data were organized using NVivo; inductive and deductive coding were used to analyze data and develop broader themes. RESULTS: The 13 practising Canadian physiotherapists interviewed described three enhanced capacities: (1) critical reflection on culture, values and practice; (2) communication skills; and (3) creativity and resourcefulness. These capacities were perceived to transfer to Canadian practice by enhancing participants' ability to deliver patient-centred care, specifically through an enhanced understanding of patients' values and social determinants of health, regardless of the Canadian setting or patient population. CONCLUSIONS: For PT students considering an ICI, the study findings provide insight into the perceived impact of ICIs on Canadian practice. For PT academic programmes, the findings can guide decisions on the extent of investment in ICIs as learning opportunities that will enhance practice in Canada.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.419
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
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 science0.0010.000
Research integrity0.0000.001
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 head0.068
GPT teacher head0.474
Teacher spread0.406 · 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 designQualitative
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

Citations8
Published2015
Admission routes3
Has abstractyes

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