Faculty Bibliography

OBJECTIVES/OBJECTIVE:This study aims to determine the prevalence of and identify predictors associated with burnout in pediatric emergency medicine (PEM) physicians and to construct a predictive model for burnout in this population to stratify risk. METHODS:We conducted a cross-sectional electronic survey study among a random sample of board-certified or board-eligible PEM physicians throughout the United States and Canada. Our primary outcome was burnout assessed using the Maslach Burnout Inventory on 3 subscales: emotional exhaustion, depersonalization, and personal accomplishment. We defined burnout as scoring in the high-degree range on any 1 of the 3 subscales. The Maslach Burnout Inventory was followed by questions on personal demographics and work environment. We compared PEM physicians with and without burnout using multivariable logistic regression. RESULTS:We studied a total of 416 PEM board-certified/eligible physicians (61.3% women; mean age, 45.3 ± 8.8 years). Surveys were initiated by 445 of 749 survey recipients (59.4% response rate). Burnout prevalence measured 49.5% (206/416) in the study cohort, with 34.9% (145/416) of participants scoring in the high-degree range for emotional exhaustion, 33.9% (141/416) for depersonalization, and 20% (83/416) for personal accomplishment. A multivariable model identified 6 independent predictors associated with burnout: 1) lack of appreciation from patients, 2) lack of appreciation from supervisors, 3) perception of an unfair clinical work schedule, 4) dissatisfaction with promotion opportunities, 5) feeling that the electronic medical record detracts from patient care, and 6) working in a nonacademic setting (area under the receiver operating characteristic curve, 0.77). A predictive model demonstrated that physicians with 5 or 6 predictors had an 81% probability of having burnout, whereas those with zero predictors had a 28% probability of burnout. CONCLUSIONS:Burnout is prevalent in PEM physicians. We identified 6 independent predictors for burnout and constructed a scoring system that stratifies probability of burnout. This predictive model may be used to guide organizational strategies that mitigate burnout and improve physician well-being.

BACKGROUND:Correct interpretation of the prepubescent female genital examination is a critical skill; however, physician skill in this area is limited. OBJECTIVE:To complement the bedside learning of this examination, we developed a learning platform for the visual diagnosis of the prepubescent female genital examination and examined the amount and rate of skill acquisition. PARTICIPANTS AND SETTING/METHODS:Medical students, residents, and fellows and attendings participated in an on-line learning platform. METHODS:This was a multicenter prospective cross-sectional study. Study participants deliberately practiced 158 prepubescent female genital examination cases hosted on a computer-based learning and assessment platform. Participants assigned the case normal or abnormal; if abnormal, they identified the location of the abnormality and the specific diagnosis. Participants received feedback after every case. RESULTS:We enrolled 107 participants (26 students, 31 residents, 24 fellows and 26 attendings). Accuracy (95 % CI) increased by 10.3 % (7.8, 12.8), Cohen's d-effect size of 1.17 (1.14, 1.19). The change in specificity was +16.8 (14.1, 19.5) and sensitivity +2.4 (-0.9, 5.6). It took a mean (SD) 46.3 (32.2) minutes to complete cases. There was no difference between learner types with respect to initial (p = 0.2) or final accuracy (p = 0.4) scores. CONCLUSIONS:This study's learning intervention led to effective and feasible skill improvement. However, while participants improved significantly with normal cases, which has relevance in reducing unnecessary referrals to child protection teams, learning gains were not as evident in abnormal cases. All levels of learners demonstrated a similar performance, emphasizing the need for this education even among experienced clinicians.

OBJECTIVE:For children with asthma, emergency department (ED) visits are common, expensive, and often avoidable. Though several factors are associated with ED use (demographics, comorbidities, insurance, medications), its predictability using electronic health record (EHR) data is understudied. METHODS:We used a retrospective cohort study design and EHR data from one center to examine the relationship of patient factors in 1 year (2013) and the likelihood of frequent ED use (≥2 visits) in the following year (2014), using bivariate and multivariable statistics. We applied and compared several machine-learning algorithms to predict frequent ED use, then selected a model based on accuracy, parsimony, and interpretability. RESULTS:We identified 2691 children. In bivariate analyses, future frequent ED use was associated with demographics, co-morbidities, insurance status, medication history, and use of healthcare resources. Machine learning algorithms had very good AUC (area under the curve) values [0.66-0.87], though fair PPV (positive predictive value) [48-70%] and poor sensitivity [16-27%]. Our final multivariable logistic regression model contained two variables: insurance status and prior ED use. For publicly insured patients, the odds of frequent ED use were 3.1 [2.2-4.5] times that of privately insured patients. Publicly insured patients with 4+ ED visits and privately insured patients with 6+ ED visits in a year had ≥50% probability of frequent ED use the following year. The model had an AUC of 0.86, PPV of 56%, and sensitivity of 23%. CONCLUSION:Among children with asthma, prior frequent ED use and insurance status strongly predict future ED use.

PURPOSE OF REVIEW/OBJECTIVE:We review the current information and evidence available on the global burden of disease in the pediatric population, clinical presentation and complications, testing, treatment, and immunization. RECENT FINDINGS/RESULTS:In addition to multiple other risk factors for influenza complications, children with neurologic and neuromuscular disorders are significantly higher risk for serious complications. In practice, there is no lower age limit for children with influenza who can be treated with oseltamivir. The quadrivalent live attenuated influenza vaccine was not recommended for use during the 2016-2017 season due to poor effectiveness. SUMMARY/CONCLUSIONS:Influenza infection causes a significant burden of disease each year in the pediatric population worldwide. Both healthy and chronically ill children can fall prey to complications either due to the virus itself or secondary bacterial infection. Children within high-risk groups should be tested and treated with neuraminidase inhibitors. Immunization against influenza is well tolerated and effective.

The omphalomesenteric duct (OMD), a temporary structure essential to fetal development, normally involutes completely by week 8 or 9 of gestation. On occasion, the OMD persists, the clinical presentations of which vary widely. We describe a case of a 6-week-old male with a patent OMD remnant that was initially treated as an umbilical granuloma, which then potentially allowed for prolapse of the small bowel through the umbilical ring. The patient required resection of the incarcerated bowel but had an otherwise uneventful and complete recovery.

Comorbid cocaine abuse adversely affects clinical outcomes in schizophrenia. Using a prospective, randomized, parallel group design (N = 24), we tested the hypothesis that patients with schizophrenia treated with olanzapine have reduced cocaine craving and abuse compared with those treated with haloperidol. In addition, we examined whether this differential effect correlated with reductions in extrapyramidal symptoms, positive and negative symptoms, and/or depression. There were no significant differences overall in proportions of positive drug screens between treatment groups; no differences in positive, negative, or depressive symptoms; and few differences between treatment conditions in extrapyramidal symptoms. However, craving for cocaine was rated significantly lower by patients treated with haloperidol compared with patients treated with olanzapine. Important study limitations include a small sample size and high attrition rates. Larger controlled studies are necessary to determine optimal antipsychotic therapy for patients with schizophrenia and comorbid cocaine abuse.