James N. Woodruff

Association of Workload of On-Call Medical Interns With On-Call Sleep Duration, Shift Duration, and Participation in Educational Activities

CONTEXT Further restrictions in resident duty hours are being considered, and it is important to understand the association between workload, sleep loss, shift duration, and the educational time of on-call medical interns. OBJECTIVE To assess whether increased on-call intern workload, as measured by the number of new admissions on-call and the number of previously admitted patients remaining on the service, was associated with reductions in on-call sleep, increased total shift duration, and lower likelihood of participation in educational activities. DESIGN, SETTING, AND PARTICIPANTS Prospective cohort study of medical interns at a single US academic medical center from July 1, 2003, through June 24, 2005. Of the 81 interns, 56 participated (69%), for a total of 165 general medicine inpatient months resulting in 1100 call nights. MAIN OUTCOME MEASURES On-call sleep duration, estimated by wrist watch actigraphy; total shift duration, measured from paging logs; and participation in educational activities (didactic lectures or bedside teaching), measured by experience sampling method via a personal digital assistant. RESULTS Mean (SD) sleep duration on-call was 2.8 (1.5) hours and mean (SD) shift duration was 29.9 (1.7) hours. Interns reported spending 11% of their time in educational activities. Early in the academic year (July to October), each new on-call admission was associated with less sleep (-10.5 minutes [95% confidence interval {CI}, -16.8 to -4.2 minutes]; P < .001) and a longer shift duration (13.2 minutes [95% CI, 3.2-23.3 minutes]; P = .01). A higher number of previously admitted patients remaining on the service was associated with a lower odds of participation in educational activities (odds ratio, 0.82 [95% CI, 0.70-0.96]; P = .01]. Call nights during the week and early in the academic year were associated with the most sleep loss and longest shift durations. CONCLUSION In this study population, increased on-call workload was associated with more sleep loss, longer shift duration, and a lower likelihood of participation in educational activities.

Impact of Mobile Tablet Computers on Internal Medicine Resident Efficiency

performance, and people will inevitably use the Internet to voice opinions, so why not capture this information in a useful form. Arguments against using this data include the selection bias by those leaving reviews, the lack of meaningful data on technical quality of health care, and straining of physician-patient relationships. Although our results do not counter all of these arguments against, they suggest that discretionary patient ratings, obtained through a Web site, may be a more useful tool than previously considered for both patients and health care workers. If patients are making choices based on this information, they can be reassured that the ratings are not entirely misleading and may be providing relevant information about health care quality. In his book The Wisdom of Crowds, James Surowiecki argues that a diverse collection of “independently deciding individuals” is likely to make better predictions and decisions than single individuals or even experts. At least to an extent, the self-selecting crowd of patients appears to be wise. The use of Web-based patient ratings has become common in other industries such as hotels and restaurants, and consumers value these rankings in making choices. We believe that the information provided by these Web sites, although flawed, represents a potentially important development in the measurement of health care quality.

Expectations of iPad Use in an Internal Medicine Residency Program: Is It Worth the “Hype”?

Background While early reports highlight the benefits of tablet computing in hospitals, introducing any new technology can result in inflated expectations. Objective The aim of the study is to compare anticipated expectations of Apple iPad use and perceptions after deployment among residents. Methods 115 internal medicine residents received Apple iPads in October 2010. Residents completed matched surveys on anticipated usage and perceptions after distribution 1 month prior and 4 months after deployment. Results In total, 99% (114/115) of residents responded. Prior to deployment, most residents believed that the iPad would improve patient care and efficiency on the wards; however, fewer residents “strongly agreed” after deployment (34% vs 15% for patient care, P<.001; 41% vs 24% for efficiency, P=.005). Residents with higher expectations were more likely to report using the iPad for placing orders post call and during admission (71% vs 44% post call, P=.01, and 16% vs 0% admission, P=.04). Previous Apple iOS product owners were also more likely to use the iPad in key areas. Overall, 84% of residents thought the iPad was a good investment for the residency program, and over half of residents (58%) reported that patients commented on the iPad in a positive way. Conclusions While the use of tablets such as the iPad by residents is generally well received, high initial expectations highlight the danger of implementing new technologies. Education on the realistic expectations of iPad benefits may be warranted.

Patient acuity rating: Quantifying clinical judgment regarding inpatient stability

BACKGROUND New resident work-hour restrictions are expected to result in further increases in the number of handoffs between inpatient care providers, a known risk factor for poor outcomes. Strategies for improving the accuracy and efficiency of provider sign-outs are needed. OBJECTIVE To develop and test a judgment-based scale for conveying the risk of clinical deterioration. DESIGN Prospective observational study. SETTING University teaching hospital. SUBJECTS Internal medicine clinicians and patients. MEASUREMENTS The Patient Acuity Rating (PAR), a 7-point Likert score representing the likelihood of a patient experiencing a cardiac arrest or intensive care unit (ICU) transfer within the next 24 hours, was obtained from physicians and midlevel practitioners at the time of sign-out. Cross-covering physicians were blinded to the results, which were subsequently correlated with outcomes. RESULTS Forty eligible clinicians consented to participate, providing 6034 individual scores on 3419 patient-days. Seventy-four patient-days resulted in cardiac arrest or ICU transfer within 24 hours. The average PAR was 3 ± 1 and yielded an area under the receiver operator characteristics curve (AUROC) of 0.82. Provider-specific AUROC values ranged from 0.69 for residents to 0.85 for attendings (P = 0.01). Interns and midlevels did not differ significantly from the other groups. A PAR of 4 or higher corresponded to a sensitivity of 82% and a specificity of 68% for predicting cardiac arrest or ICU transfer in the next 24 hours. CONCLUSIONS Clinical judgment regarding patient stability can be reliably quantified in a simple score with the potential for efficiently conveying complex assessments of at-risk patients during handoffs between healthcare members.

Implementing Peer Evaluation of Handoffs: Associations With Experience and Workload

BACKGROUND Although peer evaluation can be used to evaluate in-hospital handoffs, few studies have described using this strategy. OBJECTIVE Our objective was to assess feasibility of an online peer handoff evaluation and characterize performance over time among medical interns. DESIGN The design was a prospective cohort study. PATIENTS Subjects were medical interns from residency program rotating at 2 teaching hospitals. MEASUREMENTS Measurements were performance on an end-of-rotation evaluation of giving and receiving handoffs. RESULTS From July 2009 to March 2010, 31 interns completed 60% (172/288) of peer evaluations. Ratings were high across domains (mean, 8.3-8.6). In multivariate regression controlling for evaluator and evaluatee, statistically significant improvements over time were observed for 4 items compared to the first 3 months of the year: 1) communication skills (season 2, +0.34 [95% confidence interval (CI), 0.08-0.60], P = 0.009); 2) listening behavior (season 2, +0.29 [95% CI, 0.04-0.55], P = 0.025); 3) accepting professional responsibility (season 3, +0.37 [95% CI, 0.08-0.65], P = 0.012); and 4) accessing the system (season 2, +0.21 [95% CI, 0.03-0.39], P = 0.023). Ratings were also significantly lower when interns were postcall in written sign-out quality (8.21 vs 8.39, P = 0.008) and accepting feedback (8.25 vs 8.42, P = 0.006). Ratings from a community hospital rotation, with a lower census than the teaching hospital, were significantly higher for overall performance and 7 of 12 domains (P < 0.05 for all). Significant evaluator effects were observed. CONCLUSIONS Although there is evidence of leniency, peer evaluation of handoffs demonstrate increases over time and associations with workload such as postcall status. This suggests the importance of examining how workload impacts handoffs in the future.

Medical student resilience and stressful clinical events during clinical training

ABSTRACT Background: Medical students face numerous stressors during their clinical years, including difficult clinical events. Fostering resilience is a promising way to mitigate negative effects of stressors, prevent burnout, and help students thrive after difficult experiences. However, little is known about medical student resilience. Objective: To characterize medical student resilience and responses to difficult clinical events during clinical training. Design: Sixty-two third-year (MS3) and 55 fourth-year (MS4) University of Chicago medical students completed surveys in 2016 assessing resilience (Connor Davidson Resilience Scale, CD-RISC 10), symptoms of burnout, need for resilience training, and responses to difficult clinical events. Results: Medical student mean resilience was lower than in a general population sample. Resilience was higher in males, MS4s, those without burnout symptoms, and students who felt able to cope with difficult clinical events. When students experienced difficult events in the clinical setting, the majority identified poor team dynamics among the most stressful, and agreed their wellbeing was affected by difficult clinical events. A majority also would prefer to discuss these events with their team later that day. Students discussed events with peers more than with attendings or residents. Students comfortable discussing stress and burnout with peers had higher resilience. Most students believed resilience training would be helpful and most beneficial during MS3 year. Conclusions: Clinical medical student resilience was lower than in the general population but higher in MS4s and students reporting no burnout. Students had some insight into their resilience and most thought resilience training would be helpful. Students discussed difficult clinical events most often with peers. More curricula promoting medical student resilience are needed.

The Healing Arts: The University of Chicago Pritzker School of Medicine Poetry Contest

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