Highly efficacious and tolerable treatments that cure hepatitis C viral (HCV) infection exist today, increasing the feasibility of disease elimination. However, large healthcare systems may not be fully prepared for supporting recommended actions due to knowledge gaps, inadequate infrastructure and uninformed policy direction. Additionally, the HCV cascade of care is complex, with many embedded barriers, and a significant number of patients do not progress through the cascade and are thus not cured. The aim of this retrospective cohort study was to evaluate a large healthcare system’s HCV screening rates, linkage to care efficiency, and provider testing preferences. Patients born during 1945–1965, not previously HCV positive or tested from within the Electronic Health Record (EHR), were identified given that three-quarters of HCV-infected persons in the United States are from this Birth Cohort (BC). In building this HCV testing EHR prompt, non-Birth Cohort patients were excluded as HCV-specific risk factors identifying this population were not usually captured in searchable, structured data fields. Once completed, the BC prompt was released to primary care locations. From July 2015 through December 2016, 11.5% of eligible patients (n = 9,304/80,556) were HCV antibody tested (anti-HCV), 3.8% (353/9,304) anti-HCV positive, 98.1% (n = 311/317) HCV RNA tested, 59.8% (n = 186/311) HCV RNA positive, 86.6% (161/186) referred and 76.4% (n = 123/161) seen by a specialist, and 34.1% (n = 42/123) cured of their HCV. Results from the middle stages of the cascade in this large healthcare system are encouraging; however, entry into the cascade–HCV testing–was performed for only 11% of the birth cohort, and the endpoint–HCV cure–accounted for only 22% of all infected. Action is needed to align current practice with recommendations for HCV testing and treatment given that these are significant barriers toward elimination.

Background Burnout is common among physicians and has detrimental effects on patient care and physician health. Recent editorials call attention to perfectionism in medicine; however, no studies to date have examined the effect of perfectionism on burnout in physicians practicing in the United States. This study examined associations among demographics, perfectionism and personality traits, and burnout among practicing physicians. Methods This cross-sectional study included general pediatric and pediatric sub-specialist physicians. Out of the 152 physicians contacted, 69 enrolled (Meanage = 44.16 ± 9.98; 61% female). Emotional exhaustion, depersonalization, and personal accomplishment burnout were assessed via the Maslach Burnout Inventory. Validated instruments were used to measure personality and perfectionism. Data were analyzed using linear regression models. Results Across physicians assessed, 42% reported either high emotional exhaustion burnout or depersonalization burnout. High self-critical perfectionism uniquely predicted both high emotional exhaustion burnout (B = 0.55, 95%CI 0.25–0.85) and depersonalization burnout (B = 0.18, 95%CI 0.05–0.31). Low conscientiousness (B = -6.12; 95%CI, -10.95- -1.28) predicted higher emotional exhaustion burnout and low agreeableness (B = -3.20, 95%CI -5.93- -0.46) predicted higher depersonalization burnout. Conclusions Perfectionism is understudied among physicians and the current findings suggest that addressing system and individual-level factors that encourage perfectionism is warranted and may reduce risk for physician burnout.

Objectives: CDC reported that 45% of Hepatitis C (HCV) infected people denied known risk factors. Electronic health record RF-based, non-Birth Cohort (born outside of years 1945–1965) screening is challenging as risk factors are often input as nonsearchable data. Testing non-Birth Cohort patients solely based on risk factors has the potential to miss a substantial number of HCV infected patients. The aim was to determine the HCV antibody positive prevalence who would have been missed had providers only followed risk factor based screening recommendations. Methods: A 1:3 case-control retrospective nested chart review was conducted. HCV risk factors and opioid prescriptions were manually abstracted from the Electronic Health Record; other variables were collected using Explorys. In July 2015 HCV screening data was collected on non-Birth Cohort patients who were HCV tested across MedStar Health, as a presumptive marker for high risk. Univariate and multivariate logistic regression models were utilized to determine HCV antibody positive predictors. Results: Eighteen (23%) HCV antibody positive and 123 (49%) HCV antibody negative had no identified risk factors; 6 (33%) HCV antibody positive reported risk factors only after a positive test result. There was a significant interaction between age over 40 and opioid prescription use; these groups were 11× more likely to be HCV antibody positive (CI95 1.6–74.8). Conclusions: HCV testing solely based on presence of risk factors in non-Birth Cohort patients has the potential to miss a significant number of HCV antibody positive patients. Given patient- and provider-level barriers in elucidating risk factors, universal HCV antibody screening may be warranted.