Pathways and costs of care for patients with tuberculosis symptoms in rural Uganda
Bibliographic record
Abstract
SETTING: Latent tuberculous infection (LTBI) remains a significant source of new active tuberculosis cases. Recent guidelines encourage primary care physicians to prescribe LTBI treatment; however, there have been no investigations into the impact on treatment completion. OBJECTIVE: To estimate LTBI treatment initiation and completion rates by primary care physicians. DESIGN: A historical cohort study was conducted with Quebec residents dispensed isoniazid (INH) between 1 January 1998 and 31 December 2005. Information was obtained from administrative health insurance data. Regression modeling was used to estimate the association of completion rates with prescribing physician specialty, after adjustment for initial health status and other patient characteristics. RESULTS: A total of 14,753 people were dispensed INH for LTBI treatment. Primary care physicians initiated 3863 (26%) treatments. This proportion decreased from 28.7% in 1998 to 21.1% in 2005. Patients initiated on treatment by primary care physicians were less likely to complete treatment (OR 0.79, 95%CI 0.72-0.86). Only 5977 (40.5%) patients completed treatment; the average treatment duration of the primary care physician group was 11 days less (P < 0.0001). CONCLUSION: Primary care physicians initiated a substantial number of LTBI treatments, but less than half of patients completed treatment regardless of the physician specialty. Primary care physicians should be supported to enhance treatment completion.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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".