Who provides chronic disease management?
Bibliographic record
Abstract
OBJECTIVE: To determine the proportions of patients who receive care from family physicians, specialists, and nurse practitioners for the management of common chronic medical conditions. DESIGN: Population-based retrospective cohort study. SETTING: Province of Alberta. PARTICIPANTS: Adults aged 19 years or older who were registered for provincial health services and each had 2 or more interactions with the same provider between January 1, 2013, and December 31, 2017, for any of 7 specified chronic medical conditions: hypertension, diabetes, chronic obstructive pulmonary disease (COPD), asthma, heart failure, ischemic heart disease, and chronic kidney disease. MAIN OUTCOME MEASURES: Numbers of patients being managed for these conditions and which provider types were involved in their care. RESULTS: Albertans receiving care for the chronic medical conditions being studied (n=970,783) had a mean (SD) age of 56.8 (16.3) years and 49.1% were female. Family physicians were the sole providers of care for 85.7% of patients with a diagnosis of hypertension, 70.9% with diabetes, 59.8% with COPD, and 65.5% with asthma. Specialists were sole providers of care for 49.1% of patients with ischemic heart disease, 42.2% with chronic kidney disease, and 35.6% with heart failure. Nurse practitioners were involved in the care of less than 1% of patients with these conditions. CONCLUSION: Family physicians were involved in the care of most patients with any of 7 chronic medical conditions included in this study and were the sole providers of care for the majority of patients with hypertension, diabetes, COPD, and asthma. Guideline working group representation and the setting of clinical trials should reflect this reality.
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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 | 0.001 | 0.010 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.010 | 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".