Counternarratives that illuminate faculty agency: A five-year longitudinal qualitative study of physician educators in academic medicine.

PURPOSE: Physician educators are often expected to direct educational programs and assume roles that conform to field norms for career advancement but that may not afford meaningful work for educators. The purpose of this study was to describe and analyse the perspectives and actions taken by physician educators in response to tension between feeling compelled to direct an educational program and doing educationally meaningful work. METHODS AND MATERIALS: We used data from a longitudinal study and focused on three participants who, over the course of the five-year study, offered significant insights into how physician educators act in ways that run counter to expectations for career advancement. Our narrative analysis entailed organizing data from interview transcripts into time-ordered displays, weaving data into counternarratives that were edited by participants, and using the theory of faculty agency (and its key constructs, strategic perspectives and strategic action) to thread the stories together. RESULTS: In each counternarrative, the participant deliberated their sense of being a physician educator (strategic perspectives) and when expectations became untenable, they did what they needed to do to engage in meaningful work (strategic action) rather than comply with expectations for career advancement in academic medicine. For one participant, faculty agency meant leaving academic medicine; for another, it meant reducing clinical time so that unpaid time could be devoted to education; and for another, it meant opting not do direct a reputable education program. CONCLUSIONS: Faculty agency is a useful theoretical lens for conceptualizing how physician educators navigate their careers in academic medicine. Counternarratives that illuminate faculty agency offer stories that describe alternate career paths and portend a different future for physician educators.

Machine Learning for Subtyping Concussion Using a Clustering Approach.

Background: Concussion subtypes are typically organized into commonly affected symptom areas or a combination of affected systems, an approach that may be flawed by bias in conceptualization or the inherent limitations of interdisciplinary expertise. Objective: The purpose of this study was to determine whether a bottom-up, unsupervised, machine learning approach, could more accurately support concussion subtyping. Methods: Initial patient intake data as well as objective outcome measures including, the Patient-Reported Outcomes Measurement Information System (PROMIS), Dizziness Handicap Inventory (DHI), Pain Catastrophizing Scale (PCS), and Immediate Post-Concussion Assessment and Cognitive Testing Tool (ImPACT) were retrospectively extracted from the Advance Concussion Clinic's database. A correlation matrix and principal component analysis (PCA) were used to reduce the dimensionality of the dataset. Sklearn's agglomerative clustering algorithm was then applied, and the optimal number of clusters within the patient database were generated. Between-group comparisons among the formed clusters were performed using a Mann-Whitney U test. Results: Two hundred seventy-five patients within the clinics database were analyzed. Five distinct clusters emerged from the data when maximizing the Silhouette score (0.36) and minimizing the Davies-Bouldin score (0.83). Concussion subtypes derived demonstrated clinically distinct profiles, with statistically significant differences (p < 0.05) between all five clusters. Conclusion: This machine learning approach enabled the identification and characterization of five distinct concussion subtypes, which were best understood according to levels of complexity, ranging from Extremely Complex to Minimally Complex. Understanding concussion in terms of Complexity with the utilization of artificial intelligence, could provide a more accurate concussion classification or subtype approach; one that better reflects the true heterogeneity and complex system disruptions associated with mild traumatic brain injury.

Creating a "Culture of Triage": A Dual-Perspective Study of Interruptions During ICU Rounds.

OBJECTIVES: To explore interrupters' and interruptees' experiences of interruptions occurring during morning rounds in a PICU in an attempt to understand better how to limit interruptions that threaten patient safety. DESIGN: Qualitative ethnographic study including observations, field interviews, and in-depth interviews. SETTING: A 55-bed PICU in a free-standing, quaternary-care children's hospital. SUBJECTS PARTICIPANTS: Attending physicians, fellow physicians, frontline clinicians (resident physicians and nurse practitioners), and nurses working in the PICU. INTERVENTIONS: Data collection occurred in two parts: 1) field observations during morning rounds with brief field interviews conducted with participants involved in an observed interruption and 2) in-depth interviews conducted with selected participants from prior field observations. MEASUREMENTS AND MAIN RESULTS: Data were coded using a constant comparative method with thematic analysis, clustering codes into groups, and subsequently into themes. We observed 11 rounding encounters (17 hr of observation and 48 patient encounters), conducting 25 field interviews and eight in-depth interviews. Themes included culture of interruption triage, interruption triage criteria, and barriers to interruption triage. Interruptees desired forming a culture of triage, whereby less-urgent interruptions were deferred until later or addressed through an asynchronous method; this desire was misaligned with interrupters who described ongoing interruption triage based on clinical changes, time-sensitivity, and interrupter comfort, despite not having a formal triage algorithm. Barriers to interruption triage included a lack of situational awareness and experience among interrupters and interruptees. CONCLUSIONS: Interrupters and interruptees did not have a shared understanding of the culture of triage within the PICU. Although interrupters attempted to triage interruptions, no formal triage algorithm existed and interruptees did not perceive a triaging culture. Using data from this study, we created a triage algorithm that could inform future studies, potentially decrease unnecessary interruptions, and optimize information sharing for essential interruptions.

Prognosis of CT-derived Fractional Flow Reserve in the Prediction of Clinical Outcomes.

PURPOSE: To examine the prognostic implication of fractional flow reserve (FFR) derived from coronary CT (FFRCT) in routine clinical practice. MATERIALS AND METHODS: Patients referred for FFRCT analysis at a single center between October 2015 and June 2017 were retrospectively included and followed up for rates of invasive angiography and clinical events. Two hundred seven patients underwent successful FFRCT analysis with seven lost to follow-up, leaving 200 (mean age ± standard deviation, 62.4 years ± 10.0; 49 [24.5%] women) patients for analysis. At coronary CT angiography, patients were categorized as having significant stenosis (SS) in the presence of a diameter stenosis greater than or equal to 50% (hereafter, SS positive) and flow limitation in the presence of a postlesion (that is, FFRCT measured 2 cm to the distal aspect of the lesion) FFRCT less than 0.80 (hereafter, FFRCT positive). Vessel-oriented clinical events (VOCEs) were defined as vessel-related late revascularization (>90 days), myocardial infarction, and cardiac mortality. RESULTS: At CT angiography, 130 (65%) studies were SS positive and 63 (31.5%) were FFRCT positive. At median follow-up of 477 days (range, 252-859 days), there were 26 VOCE end points in 22 patients: 22 revascularizations and four nonfatal myocardial infarctions. VOCE end points occurred in zero of 58 (0%) of SS-negative and FFRCT negative patients, in eight of 79 (10.1%) of SS-positive and FFRCT-negative patients, in zero of 12 (0%) of SS-negative and FFRCT-positive patients, and in 18 of 51 (35.3%) of SS-positive and FFRCT-positive patients (log-rank χ2 = 30.1; P < .001). At multivariable Cox regression, both FFRCT (hazard ratio per 0.1 decrease, 1.54 [95% confidence interval: 1.1, 2.2] P = .013) and stenosis (hazard ratio per unit increase, 2.16 [95% confidence interval: 1.25, 3.72] P = .006) were independently associated with VOCE. CONCLUSION: Stenosis and FFRCT are independent predictors of intermediate-term outcomes. In the absence of a stenosis greater than 50%, a positive FFRCT result is not associated with an increased intermediate risk.© RSNA, 2019Supplemental material is available for this article.See also commentary by Fairbairn and Bull in this issue.

Characterization of Thoracic Pathophysiologic Conditions in Patients Receiving High-Frequency Oscillatory Ventilation: Pediatric Experience.

High-frequency oscillatory ventilation (HFOV) is a mode of mechanical ventilation used in severe pediatric respiratory failure. Thoracic ultrasound (US) is a powerful tool for diagnosing acute pathophysiologic conditions during spontaneous respiration and conventional noninvasive and invasive mechanical ventilation. High-frequency oscillatory ventilation differs from conventional modes of ventilation in that it does not primarily use bulk flow delivery for gas exchange but, rather, a number of alternative mechanisms as the result of pressure variations oscillating around a constant distending pressure. Thoracic US has not been well described in patients receiving HFOV, and it is unclear whether the US findings for assessing thoracic pathophysiologic conditions during conventional ventilation are applicable to patients receiving HFOV. We discuss the similarities and differences of thoracic US findings in patients who are spontaneously breathing or receiving conventional ventilation compared to those in patients receiving HFOV.