The extent to which family physicians record their patients’ exercise in medical records: a scoping review
Bibliographic record
Abstract
OBJECTIVE: Exercise is an effective modality for the prevention and treatment of chronic conditions and family physicians are the healthcare providers tasked to manage patients' chronic disease status. However, little is known about the exercise documentation in family-physician records. Therefore, a scoping review was conducted to describe family-physician-recorded exercise-related advice to patients in electronic medical records. DESIGN: Scoping review. SETTING: Primary care clinics. SEARCH STRATEGY: PubMed, Medline, SPORTDiscus, Google, Dissertations & Theses Global, OCLC PapersFirst (via First Search) and included references were searched between 1 January 1990 and 10 June 2018. Extracted information included year, geographic origin, data input structure, input frequency and content of exercise inputs in family physicians' electronic medical records. The primary outcomes are the structure, purpose and frequency of inputs. RESULTS: Of a possible 1758 documents, 83 remained after a title and abstract scan and 22 after a full-text review. These documents included 32 findings of physical activity/exercise medical record documentation: counselling/advising patients (50.0%), status (12.5%), embedded questionnaires (12.5%), status as a risk factor (12.5%), health promotion documentation (6.3%), inactivity status (3.1%) and grading (3.1%). The frequency of exercise inputs in primary care records vary from as low as 0.4% of patients with documentation of physical activity health promotion inputs to as high as 87.8% of patients with exercise or physical activity status recorded. The majority of included documents (63.6%) were focused on patients with identified chronic conditions. CONCLUSION: The findings suggest that the structure and purpose of exercise documentation is often unclear or unspecified. Studies that present exercise information from family-physician medical records tend to focus on patients with specific chronic conditions and present little detail about the field from which information was extracted. The review found that the proportion of patients with physical activity or exercise information is often less than half.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.054 | 0.252 |
| Meta-epidemiology (narrow) | 0.001 | 0.002 |
| Meta-epidemiology (broad) | 0.004 | 0.004 |
| Bibliometrics | 0.040 | 0.038 |
| Science and technology studies | 0.002 | 0.003 |
| Scholarly communication | 0.006 | 0.008 |
| Open science | 0.003 | 0.003 |
| Research integrity | 0.004 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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 source (direct Gemma or distilled Codex), 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".