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Record W4312364178 · doi:10.22374/cjgim.v16i4.511

Exercise Prescription Practices of a Group of Canadian Internal Medicine Physicians

2021· article· en· W4312364178 on OpenAlexafffundvenueabout
Alexi Kuhnow, Samuel Workman

Bibliographic record

VenueCanadian Journal of General Internal Medicine · 2021
Typearticle
Languageen
FieldMedicine
TopicCardiac Health and Mental Health
Canadian institutionsNova Scotia Health AuthorityDalhousie University
FundersDalhousie UniversityDalhousie Medical Research Foundation
KeywordsMedical prescriptionMedicineFamily medicineNursing

Abstract

fetched live from OpenAlex

Background: Internal Medicine (IM) physicians are in a prime role to prescribe exercise for chronic disease management. Our main objectives were to investigate the exercise prescription (EP) practices of IM physicians, and identify barriers and facilitators to EP. Methods: We emailed a confidential 16-item survey to 194 IM physicians practicing in the Central Zone of the Nova Scotia Health Authority (NSHA). The survey software Opinio was used for data collection and descriptive statistics. Results: A total of 108 IM physicians completed the survey (response rate = 55.7%). Sixty-five participants reported regular EP (60.2%). The main barriers to EP were lack of resources, time, and training. Facilitators included having patient education materials and EP pads available. Interpretation: Although most participants reported that exercise was important for chronic disease management, about 40% did not report regularly prescribing it. Enabling facilitators and addressing barriers may improve EP practices for this group of IM physicians.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.191
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.040
GPT teacher head0.345
Teacher spread0.305 · 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 designNot applicable
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

Citations1
Published2021
Admission routes4
Has abstractyes

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