Unintended consequences of a night float system in Paediatric Residency
Bibliographic record
Abstract
Objectives: Many residency programs implement 'night float' (NF) systems as alternatives to a traditional 24-h call model in an attempt to comply with duty-hour regulations. Research evaluating NF systems has focused primarily on the perspective of the resident with respect to fatigue and quality of life. Understanding the broader consequences of NF models from both trainee and faculty points of view is essential to creating effective and sustainable systems to comply with duty-hour regulations while maximizing patient care, education, and quality of life (QoL). Methods: This study used qualitative thematic analysis situated in a constructivist paradigm to explore the experience of an NF system by residents and faculty. Semi-structured interviews were conducted with 15 trainees and 3 faculty members at a large academic pediatric hospital to understand their perceptions of an NF call structure compared to the traditional 24-h call schedule. Results: Three themes were identified: (i) Implications for resident; (ii) Implications for patient and family; and (iii) Implications for curriculum. Eight sub-themes were identified, highlighting both intended and unintended consequences of the NF system. Conclusions: The NF system resulted in the intended outcomes of decreased fatigue and improved continuity of patient care. Unintended outcomes also occurred, however, including negative effects on assessment and feedback, lack of integration of competencies, and mixed results on resident quality of life. These areas require special attention when designing and implementing NF systems.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| 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".