Progressive Surgical Autonomy Observed in a Hand Surgery Resident Clinic Model.

OBJECTIVE: Resident clinics (RCs) are intended to catalyze the achievement of educational milestones through progressively autonomous patient care. However, few studies quantify their effect on competency-based surgical education, and no previous publications focus on hand surgery RCs (HRCs). We demonstrate the achievement of progressive surgical autonomy in an HRC model. DESIGN: A retrospective review of all patients seen in a weekly half-day HRC from October 2010 to October 2015 was conducted. Investigators compiled data on patient demographics, provider encounters, operational statistics, operative details, and dictated surgical autonomy on an ascending 5 point scoring system. SETTING: A tertiary hand surgery referral center. RESULTS: A total of 2295 HRC patients were evaluated during the study period in 5173 clinic visits. There was an average of 22.6 patients per clinic, including 9.0 new patients with 6.5 emergency room referrals. Totally, 825 operations were performed by 39 residents. Trainee autonomy averaged 2.1/5 (standard deviation [SD] = 1.2), 3.4/5 (SD = 1.3), 2.1/5 (SD = 1.3), 3.4/5 (SD = 1.2), 3.2/5 (SD = 1.5), 3.5/5 (SD = 1.5), 4.0/5 (SD = 1.2), 4.1/5 (SD = 1.2), in postgraduate years 1 to 8, respectively. Linear mixed model analysis demonstrated training level significantly effected operative autonomy (p = 0.0001). Continuity of care was maintained in 79.3% of cases, and patients were followed an average of 3.9 clinic encounters over 12.4 weeks. CONCLUSIONS: Our HRC appears to enable surgical trainees to practice supervised autonomous surgical care and provide a forum in which to observe progressive operative competency achievement during hand surgery training. Future studies comparing HRC models to non-RC models will be required to further define quality-of-care delivery within RCs.

External Validation of Velazquez-Gomez Severity Score Index and ATLAS Scores and the Identification of Risk Factors Associated with Mortality in Clostridium difficile Infections.

Treatment guidelines for Clostridium difficile infection (CDI) are limited by a lack of widely accepted clinical prediction tools (CPTs). Two published CPTs, the Velazquez-Gomez Severity Score Index (VGSSI) and ATLAS scores, were evaluated, and variables showing the greatest correlation with mortality in patients with CDI were identified to further develop an objective, mortality-based CPT. A retrospective review of the charts of 271 hospitalized patients with CDI was performed. VGSSI and ATLAS scores were assigned. Means and correlations of these scores with mortality were evaluated. Multivariate logistic regression analysis was performed on 32 known potential mortality predictor variables. Mortality was overall strongly associated with VGSSI and ATLAS scores with poor correlation within the intermediate ranges. Mean scores for nonsurvivors indicated poor calibration. The variables most associated with mortality were Age, vasopressors, steroids, creatinine level, and albumin. Although both CPTs revealed the ability to discriminate patients at greater risk for mortality, precision and overall calibration were lacking. Five variables were identified which had the greatest correlation with mortality. Utilization of these variables to enhance or modify the existing CPTs is suggested as the next step in the development of a useful and accurate mortality-based CPT for the treatment of CDI.