Evaluation of safety tool for ambulatory leprosy patients at risk of adverse outcome
Bibliographic record
Abstract
Leprosy is a potentially debilitating disease of the skin and nerves that requires a complex management approach consisting of laboratory monitoring, screening for factors that will adversely affect outcome with corticosteroids, engagement of allied health services, and prolonged follow-up. Given the complexities of leprosy management, a safety tool was developed and implemented in the Tropical Disease Unit at Toronto General Hospital. Our objective was to evaluate the utility of the tool using a retrospective chart review. We reviewed the charts of patients with leprosy treated over a 3.5-year period: up to 3 years prior to tool implementation, and 6-months following implementation. Pre-determined outcomes of interest included: loss to follow-up; monitoring of laboratory parameters; allied health services engagement; baseline ophthalmologic assessment; and risk mitigation interventions. Of 17 patients enrolled, 8 were treated pre-implementation, and 9 post-implementation. Five (29.4%) pre-implementation patients were lost to follow-up compared to none post-implementation ( p = 0.009). One (12.5%) pre-implementation patient was sent for baseline ophthalmologic assessment versus 8 (88.9%) post-implementation ( p = 0.0034). Only post-implementation patients received referrals for occupational therapy and social work, with 77.8% ( n = 7) receiving occupational therapy ( p = 0.0023) and 33.3% ( n = 3) social work ( p = 0.2059). Laboratory parameters such as hemoglobin, hepatic transaminases, and methemoglobin were routinely monitored for patients on dapsone irrespective of tool implementation. Implementation of a leprosy-specific safety tool has established a user-friendly method for systemizing all elements of care, and ensuring the involvement of allied health services necessary for optimizing health outcomes.
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 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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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".