ABC of prescribing exercise as medicine: a narrative review of the experiences of general practitioners and patients
Bibliographic record
Abstract
BACKGROUND: Exercise prescribing can help patients to overcome physical inactivity, but its use in general practice is limited. The purpose of this narrative review was to investigate contemporaneous experiences of general practitioners and patients with exercise prescribing. METHOD: PubMed, Scopus, Science Direct and Cochrane reviews were reviewed using the terms 'exercise prescription', 'exercise prescribing', 'family practice', 'general practice', 'adults' and 'physical activity prescribing'. RESULTS: After screening by title, abstract and full paper, 23 studies were selected for inclusion. Qualitative, quantitative and mixed-methods studies revealed key experiences of general practitioners and patients. Barriers identified included: physician characteristics, patients' physical and psychosocial factors, systems and cultural failures, as well as ambiguity around exercise prescribing. We present a synthesis of the key strategies to overcome these using an ABC approach: A: assessment of physical activity: involves asking about physical activity, barriers and risks to undertaking an exercise prescription; B: brief intervention: advice, written prescription detailing frequency, intensity, timing and type of exercise; and C: continued support: providing ongoing monitoring, accountability and progression of the prescription. Multiple supports were identified: user-friendly resources, workshops for doctors, guidelines for specific illnesses and multimorbidity, electronic devices, health system support and collaboration with other healthcare and exercise professionals. DISCUSSION: This review has identified levers for facilitating exercise prescribing and adherence to it. The findings have been presented in an ABC format as a guide and support for general practitioners to prescribe exercise.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.011 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
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".