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Predicting neurobehavioral performance of resident physicians in a Randomized Order Safety Trial Evaluating Resident-physician Schedules (ROSTERS)
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2 2024
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Source: Sleep Health. 10(1 Suppl):S25-S33
[PDF-648.67 KB]
Details:
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Alternative Title:Sleep Health
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Personal Author:
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Description:Objectives:
Mathematical models of human neurobehavioral performance that include the effects of acute and chronic sleep restriction can be key tools in assessment and comparison of work schedules, allowing quantitative predictions of performance when empirical assessment is impractical.
Methods:
Using such a model, we tested the hypothesis that resident physicians working an extended duration work roster (EDWR), including 24–28 hours of continuous duty and up to 88 hours per week averaged over 4 weeks, would have worse predicted performance than resident physicians working a rapidly cycling work roster (RCWR) intervention designed to reduce the duration of extended shifts. The performance metric used was attentional failures (i.e., PVT lapses). Model input was 169 actual work and sleep schedules. Outcomes were predicted hours per week during work hours spent at moderate (equivalent to 16–20 hours of continuous wakefulness) or high (equivalent to ≥20 hours of continuous wakefulness) performance impairment.
Results:
The model predicted that resident physicians working EDWR would spend significantly more time at moderate impairment (p=0.02, effect size=0.2) than those working RCWR; this difference was most pronounced during the circadian night (p<0.001). On both schedules, performance was predicted to decline from weeks 1+2 to weeks 3+4 (p<0.001), but the rate of decline was significantly greater on EDWR (p<0.01). Predicted performance impairment was inversely related to prior sleep duration (p<0.001).
Conclusions:
These findings demonstrate the utility of a mathematical model to evaluate the predicted performance profile of schedules for resident physicians and others who experience chronic sleep restriction and circadian misalignment.
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Pubmed ID:38007304
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Pubmed Central ID:PMC11031327
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Volume:10
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