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Record W3158349268 · doi:10.22230/jripe.2021v11n1a321

The Acceptability of Physiotherapy Care in Emergency Departments: An Exploratory Survey of Emergency Department Physicians

2021· article· en· W3158349268 on OpenAlexaffvenueabout
Eveline Matifat, Pascale Lavoie-Côté, Nabila Kounda, Lorie Charrier, Kadija Perreault, François Desmeules

Bibliographic record

VenueJournal of Research in Interprofessional Practice and Education · 2021
Typearticle
Languageen
FieldHealth Professions
TopicNursing Roles and Practices
Canadian institutionsUniversité LavalUniversité de MontréalHôpital Maisonneuve-Rosemont
Fundersnot available
KeywordsEmergency departmentMedicineExploratory researchPhysical therapyPerceptionFamily medicineMedical emergencyEmergency medicineNursingPsychology

Abstract

fetched live from OpenAlex

Background: Interprofessional emergency department (ED) models of care, including physiotherapists, have emerged to answer growing demands for ED care. The purpose of this study was to assess the perceptions of ED physicians regarding ED physiotherapy.Methods and findings: Ninety-five ED physicians, members of one of two ED physicians’ associations in the province of Québec, completed a survey (response rate = 14.7%). Most had a positive perception of physiotherapists’ competencies (96.8%) and were confident that ED physiotherapy care is safe and efficient (96.8%).Conclusions: Based on responses from this limited sample, ED physicians have a positive perception of ED physiotherapy models of care.Keywords: Emergency department; Physiotherapy; Advanced practice physiotherapy;Acceptability; Models of 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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.010
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.065
Threshold uncertainty score0.130

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.010
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.001
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.126
GPT teacher head0.588
Teacher spread0.461 · 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 source (direct Gemma or distilled Codex), 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

Citations4
Published2021
Admission routes3
Has abstractyes

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