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Record W2783204654 · doi:10.1139/apnm-2017-0763

Exercise is Medicine Canada physical activity counselling and exercise prescription training improves counselling, prescription, and referral practices among physicians across Canada

2018· article· en· W2783204654 on OpenAlexafffundvenueabout
Jonathon R. Fowles, Myles W. O’Brien, Kara Solmundson, Paul Oh, Chris Shields

Bibliographic record

VenueApplied Physiology Nutrition and Metabolism · 2018
Typearticle
Languageen
FieldMedicine
TopicPhysical Activity and Health
Canadian institutionsToronto Rehabilitation InstituteUniversity of British ColumbiaAcadia UniversityDalhousie University
FundersLawson Foundation
KeywordsMedical prescriptionMedicineReferralFamily medicinePhysical therapyExercise prescriptionNursing

Abstract

fetched live from OpenAlex

Exercise is Medicine Canada (EIMC) is an initiative that promotes physical activity (PA) counselling and exercise prescription within health care. The purpose of this study was to compare physicians' perceptions and practices around PA counselling and exercise prescription following EIMC training. Physicians (n = 46) from 7 different provinces completed questionnaires initially and 3 months following an EIMC workshop. Three months after intervention, physicians reported greater confidence compared with baseline for providing physical activity and exercise (PAE) information to patients (79% vs 55%; p < 0.001), assessing patients' PAE (69% vs 44%, p = 0.005), answering patients' PAE questions (78% vs 54%, p < 0.001), providing PAE advice (71% vs 43%, p < 0.001), and identifying which patients would benefit from referral to qualified exercise professionals (77% vs 52%, p = 0.002). At follow-up, physicians reported PA prescription barriers as less impactful (out of 4; all p < 0.05), including perceived patients' lack of interest (2.75 to 2.25), lack of available resources (2.59 to 2.00), and lack of time (2.41 to 2.14). The proportion of physicians providing written exercise prescriptions increased from 20% to 74%. This study suggests that the completion of a 1-day EIMC workshop increases physicians' confidence, knowledge, and counselling behaviours of physicians in prescribing PAE.

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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.740
Threshold uncertainty score1.000

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 studies0.0010.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.038
GPT teacher head0.307
Teacher spread0.269 · 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.

Study designBench or experimental
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

Citations105
Published2018
Admission routes4
Has abstractyes

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