A Pilot Program Assessing Bronchoscopy Training and Program Initiation in a Low-income Country
Bibliographic record
Abstract
BACKGROUND: Flexible bronchoscopy is an essential procedure for the evaluation and management of the pulmonary disease. However, this technology and related training is not available in many low-middle income countries (LMICs). We conducted a pilot training program for flexible bronchoscopy in Uganda. METHODS: A multimodal curriculum was developed with pulmonologists from Uganda and the United States. The training included an online distance learning management system for video content, simulation, just-in-time training, and deliberate practice via clinical proctoring. Procedural standards and a de novo bronchoscopy suite were concurrently developed. Competency was assessed using the Bronchoscopic Skills and Tasks Assessment Tool written examination and the Ontario Bronchoscopy Assessment Tool. RESULTS: We trained 3 pulmonary physicians with no prior experience in flexible bronchoscopy. Three bronchoscopies with bronchoalveolar lavage were performed during the training and an additional 11 cases were performed posttraining. All 3 Ugandan physicians had an increase in their written Bronchoscopic Skills and Tasks Assessment Tool and Ontario Bronchoscopy Assessment Tool in the competent range (P<0.05). All bronchoscopies were successfully completed, adequate samples were obtained, and there were no procedure-related complications. CONCLUSION: Bronchoscopy implementation in LMICs is feasible, but requires competency-based training. Further studies are needed to validate this curriculum in LMICs, including the use of this type of curriculum for more complicated bronchoscopic procedures.
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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 | 0.000 |
| 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 | 0.001 |
| 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".