JAMA surgery
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Current outcome predictors for illness and injury are measured at a single time point-admission. However, patient prognosis often changes during hospitalization, limiting the usefulness of those predictions. Accurate depiction of the dynamic interaction between competing events during hospitalization may enable real-time outcome assessment. ⋯ Real-time measurement of dynamic interrelationships among burn outcome predictors using competing risk analysis demonstrated that the key factors influencing outcomes differed throughout hospitalization. Further application of this analytic technique to other injury or illness types may improve assessment of outcomes.
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Individualized risk prediction tools have an important role as decision aids for use by patients and surgeons before surgery. Patient-centered outcomes should be incorporated into such tools to widen their appeal and improve their usability. ⋯ Individualized risk of discharge to postacute care can be predicted with excellent accuracy. This outcome will be incorporated into the ACS NSQIP Surgical Risk Calculator.
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Multicenter Study Observational Study
Distractions during resident handoffs: incidence, sources, and influence on handoff quality and effectiveness.
Handoffs have significantly increased in number following Accreditation Council for Graduate Medical Education (ACGME) work-hour restrictions. Studies have shown correlations between the number of handoffs and errors/patient harm. Distractions are common during handoffs and may interfere with handoff quality and effectiveness. ⋯ To our knowledge, this is the largest study of distractions during surgical resident handoffs. Distractions were very common during handoffs; they were more common in the evening when junior residents more commonly performed the handoff and they increased the handoff length. However, distractions did not negatively affect the quality of resident handoffs. This may demonstrate the resilience of surgical residents to distractions.
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Significant health inequities persist among minority and socially disadvantaged patients. Better understanding of how unconscious biases affect clinical decision making may help to illuminate clinicians' roles in propagating disparities. ⋯ Unconscious social class and race biases were not significantly associated with clinical decision making among acute care surgical clinicians. Further studies involving real physician-patient interactions may be warranted.