Articles: cations.
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The magnitude of advances in surgical care inspires awe consistent with the impact of these developments on patients' lives. With this comes greater knowledge, new practices, and novel technologies for integration into residency training, making the skillset required of today's residents quite different from those in the past. Competency-based medical education and learner-centered approaches offer innovative and studied methodologies for teaching, learning, and assessment to meet the demands of today's educational environment. ⋯ The research agenda includes five domains of inquiry: entrustment and practice readiness; bias and environment; distinguishing features and certification; qualitative feedback; and patient outcomes, and builds upon prior work by ten Cate et al. by expanding upon their organizing framework to also include the element of time. Additionally, the authors provide questions and suggest data integration strategies that might foster a breadth of studies investigating the utility of Entrustable Professional Activities in surgical training. Collectively engaging in such a process of evaluation early in the process of competency-based reform will serve to optimize education, assessment, and ultimately patient care.
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Accurate prognostication in comatose survivors of cardiac arrest is a challenging and high-stakes endeavor. We sought to determine whether internal EEG subparameters extracted by the Bispectral Index (BIS) monitor, a device commonly used to estimate depth-of-anesthesia intraoperatively, could be repurposed to predict recovery of consciousness after cardiac arrest. ⋯ In patients comatose after cardiac arrest, four EEG features calculated internally by the BIS Engine were repurposed by a compact neural network to achieve a prognostic accuracy superior to the current clinical qualitative gold-standard, with high sensitivity for recovery. These features hold promise for assessing patients after cardiac arrest.
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A variety of minimal clinically important difference (MCID) estimates are available to distinguish subgroups with differing outcomes. When a true gold standard is absent, latent class growth curve analysis (LCGC) has been proposed as a suitable alternative for important change. Our purpose was to evaluate the performance of individual and baseline quartile-stratified MCIDs. ⋯ Classification errors in individual MCID estimates most likely result from ceiling effects. Minimal clinically important differences calculated for each baseline quartile are superior to individually calculated MCIDs and should be used when latent class methods are not available. Use of individual MCIDs likely contribute substantial error and are discouraged for clinical application.
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Disparities in postoperative nausea and vomiting (PONV) and its prophylaxis may exist based on race, ethnicity, and socioeconomic status (SES). Our objective was to evaluate whether patients from racial and ethnic minority groups and patients from lower SES backgrounds received less appropriate PONV prophylaxis and experienced higher rates of PONV and post-discharge nausea and vomiting (PDNV). ⋯ The study identified differences in appropriate PONV prophylaxis by race and ethnicity as well as community-level SES. There were no differences in PONV by our predictors, but higher odds of PDNV by race and ethnicity and payor. This study underscores the importance of data stratification in quality measures to identify disparities in perioperative care; it can lead to changes in perioperative anesthetic management. Further research should explore these associations in a broader cohort and address potential confounding sources.
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Placebo hypoalgesia and nocebo hyperalgesia, which exemplify the impact of expectations on pain, have recently been conceptualised as Bayesian inferential processes, yet empirical evidence remains limited. Here, we explore whether these phenomena can be unified within the same Bayesian framework by testing the predictive role of expectations and their level of precision (ie, expectation confidence) on pain, with both predictors measured at the metacognitive level. Sixty healthy volunteers underwent a pain test (ie, 8 noxious electrical stimuli) before (Baseline) and after (T0, T1, T2) receiving a sham treatment associated with hypoalgesic (placebo), hyperalgesic (nocebo), or neutral (control) verbal suggestions, depending on group allocation. ⋯ This suggests that both placebo and nocebo responses are well described from a Bayesian perspective. A main effect of time for SCR was observed, suggesting habituation to painful stimuli. Our data provide evidence indicating that both placebo hypoalgesia and nocebo hyperalgesia can be unified within the same Bayesian framework in which not only expectations but also their level of precision, both measured at the metacognitive level, are key determinants of the pain inferential process.