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Family Physicians’ Perceptions Toward Writing Physical Activity Prescriptions

2015· article· en· W2467713946 on OpenAlexaff
Mathieu Bélanger, Edith Couturier, Natacha Dion, Vanessa Girouard, Jessy Phillips, Jennifer Brunet

Bibliographic record

VenueMedicine & Science in Sports & Exercise · 2015
Typearticle
Languageen
FieldPsychology
TopicBehavioral Health and Interventions
Canadian institutionsUniversité de MonctonUniversité de Sherbrooke
Fundersnot available
KeywordsMedical prescriptionFamily medicineMedicinePromotion (chess)Nursing

Abstract

fetched live from OpenAlex

Many clinical guidelines suggest that physical activity (PA) be considered as a first line therapeutic approach. Concurrently, most physicians recognize the many health benefits of PA for their patients. Still, few family physicians currently prescribe PA to their patients. Prior research has shown that physicians perceive various barriers that hinder the systematic promotion of PA. However, no study has contrasted the barriers reported by physicians who regularly prescribe PA with those who are not prescribing it. This would inform the development of tailored strategies to counter barriers and promote greater use of PA prescriptions by family physicians. PURPOSE: To explore barriers and enablers to prescribing PA as a therapy among family physicians who are currently prescribing PA to their patients and those who are not. METHODS: Participants were drawn from a web-based survey, which comprised of 51 physicians. For the current study, identified family physicians prescribing PA (n=3; prescribers) and not prescribing it (n=7; non-prescribers) participated in a face-to-face semi-structured interview. All interviews were audio-recorded and transcribed verbatim. Content analysis was employed in which 4 researchers independently identified barrier and enabler themes. RESULTS: Various barriers hindering PA prescriptions were reported by both groups of physicians, with some differences noted across groups. Cross-group comparisons also led to the identification of enablers among prescribers, including valuing PA prescription, recognizing PA prescription as part of family medicine, having access to resources (e.g., PA prescription pads), and developing resiliency against patient rebuttal and non-compliance. CONCLUSIONS: This study improves our understanding of the barriers encountered by family physicians to prescribing PA to their patients. Focusing on the enabling factors elucidated in this study may help family physicians counter their perceived barriers and increase PA prescription rates.

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)0.006
metaresearch head score (Gemma)0.051
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 score0.015
Threshold uncertainty score0.032

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0060.051
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0020.001
Scholarly communication0.0020.001
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0050.000

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 head0.107
GPT teacher head0.419
Teacher spread0.311 · 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".

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Citations1
Published2015
Admission routes1
Has abstractyes

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