Black clouds in surgery: A study of surgical resident workload and burnout.

BACKGROUND: The concept of a 'black cloud' is a common unfounded perception in the healthcare workforce that attributes a heavier workload to specific individuals or teams. Prior studies in non-surgical disciplines have demonstrated that 'black cloud' perceptions are not associated with workload, albeit such perceptions may influence behavior. The influence of 'black cloud' perceptions on surgical resident workload and burnout remains to be investigated. This study assesses the associations between 'black cloud' self-perception with actual workload and burnout among surgical residents in different specialties. METHODS: A cross-sectional survey study of postgraduate year (PGY) 2 and 3 residents enrolled in different surgical residencies at the Icahn School of Medicine at Mount Sinai was conducted between September-November 2021. RESULTS: The survey response rate was 62.1% (41/66). 46.3% of respondents were female. The majority of subjects were single (61%) and PGY2 trainees (56.1%). In a multivariate regression analysis demographic factors and workload variables, such as the number of pages responded, notes, and amount of sleep, were not significant predictors of a 'black cloud'-self-perception. A significantly lower Burnout Index Score (BIS) was observed among females (p< .001). A significantly higher BIS was observed among residents who are single (p = .003), training in general surgery (p = .02), and orthopedic surgery (p = .03). There was no significant association between 'black cloud' self-perception and BIS. DISCUSSION: The findings demonstrate that a 'black cloud' self-perception is not associated with a high workload and burnout among surgical residents. Gender, marriage/domestic partnership, and certain surgical specialties influenced burnout among the study cohort.

Magic Medicine.

Background: A superstition is a belief or practice that is considered irrational, resulting from ignorance, fear of the unknown, trust in magic or chance or a false conception of causation. In medical settings superstitions often arise from attempts to assign causation to events that are either random, or in which all information is not available. In this manuscript, we present a descriptive review of the literature related to superstition in medicine and present the results of our own data; that one's age is equal to the chance of being admitted from the emergency department. Methods: In the descriptive review of superstitious beliefs in medicine, we identified 295 articles in which specific superstitions were studied. These articles were then organized by field and specific superstition. To investigate the age and admission correlation, we retrospectively quarried over 250,000 charts. Results: 295 papers on specific medical superstitions were reviewed and presented according to specialty, population and commonly investigated superstitions. Psychiatry had the largest number of articles addressing superstitious behavior, followed by OB/GYN. Importantly, significant heterogeneity exist within these papers suggesting that superstitious beliefs can be found in all fields of medicine. In addition, our data did not support the superstition that a patient's age will mirror their admission rate. Conclusions: The majority of the superstitions identified were "harmless" in that they would not result in significant patient harm. The exponential growth in medical knowledge presents a challenge for many to stay up to date. Our findings suggest a need for a continued emphasis of scientific literacy among physicians and further establish the expectation that physicians be engaged in consuming the latest scientific evidence in their field.

The Black Cloud Phenomenon in Hand Surgery.

Background: The term black cloud for a surgeon is generally used to describe someone who is unusually busy compared with his or her counterparts, and it is a superstition that tends to pervade the medical world. The purpose of this study is to investigate whether black clouds exist in hand surgery. Methods: We examined one academic year's worth of hand surgery-specific call at a level I trauma center and tabulated the number of hand-related patient transfers and add-on cases per surgeon. Each surgeon was given a black cloud rating by the fellows who were in training that year. Correlations were made between the black cloud rating and the surgeons' call volume. Results: There were 12 surgeons who shared 365 days of hand call, and 5 of them are hand surgery fellowship trained. Those 5 surgeons tended to be busier on their call days, with more cases added on overnight and the next day, and also had worse black cloud ratings than the 7 non-hand fellowship trained surgeons. Conclusions: In regard to hand surgery, while true emergencies occur and require emergent intervention, how busy hand surgeons may be during call may be influenced by a variety of factors not related to their patients' problems but rather their daily schedules, their hospitals' ability to facilitate add-on cases, and their rapport with their fellow surgeons to share case loads.

Debunking superstition: Analyzing the cloud phenomenon in apheresis-Results of a 35-month study.

Many practitioners believe in the phenomenon of being labeled either a "black cloud" or "white cloud" while on-call. A "white-cloud" physician is usually defined as one who sees fewer cases while a "black-cloud" is one who often receives more cases. To evaluate these phenomena, a 35-month prospective study was designed to evaluate the number of times apheresis staff was involved with emergent apheresis procedures at a large institution in the off hours between 10 pm and 7 am, since this is the time period when significant resources have to be mobilized to perform the procedure. During the study period, 92 emergent procedures (or "black-cloud" events, 8.6%) occurred. The median time between two consecutive "black-cloud" events was 9 days (range: 1-45 days). We found that there is no statistically significant association between the occurrence of "black-cloud" events and attending physicians (P = .99), nurses who had 56 or more days on-call during the course of the study (P = .28), year (P = .85), day of the week (P = .099), month (P = .57), or season of the year (P = .47). Therefore, the findings from this prospective 35-month confirmation study did not support the common perception that physicians or nurses maybe either "black clouds" or "white clouds." It is important that this meaningful result be shared with apheresis practitioners given that the label of being a "black cloud" may have undesirable psychological implications to the physicians and nurses.

"Black cloud" vs. "white cloud" physicians - Myth or reality in apheresis medicine?

BACKGROUND: Many practitioners believe in the phenomenon of either being labeled a "black cloud" or "white cloud" while on-call. A "white-cloud" physician is one who usually gets fewer cases. A "black-cloud" is one who often has more cases. It is unclear if the designation is only superstitious or if there is some merit. Our aim is to objectively assess this phenomenon in apheresis medicine at our center. METHODS: A one-year prospective study from 12/2014 to 11/2015 was designed to evaluate the number of times apheresis physicians and nurses were involved with emergent apheresis procedures between the hours from 10 PM and 7 AM. Other parameters collected include the names of the physician, apheresis nurse, type of emergent apheresis procedure, day of the week, and season of the year. RESULTS: During the study period, 32 emergent procedures (or "black-cloud" events) occurred. The median time between two consecutive events was 8 days (range: 1-34 days). We found no statistically significant association between the "black-cloud" events and attending physicians, nurses, day of the week, or season of the year by Chi-square and Fisher's analyses. However, exploratory analysis using association rule demonstrated that "black-cloud" events were more likely to happen on Thursday (2.19 times), with attending physician 2 (1.18 times), and during winter (1.15 times). CONCLUSION: The results of this pilot study may support the common perception that some physicians or nurses are either "black cloud" or "white cloud". A larger, multi-center study population is needed to validate the results of this pilot study.