The nature of surgeon human capital depreciation

Do breaks from surgery improve the performance of orthopaedic surgeons?

This paper explores whether breaks from surgical practice impact surgeons' performance. Using a large panel of orthopaedic surgeons in England, I estimate the effect of surgeons' breaks, measured by the number of days since their last surgery, on the health outcomes of emergency patients admitted after a hip fracture. To identify a causal effect, I implement a surgeon fixed effects model and exploit the quasi-exogenous variation in breaks from unanticipated emergency hip fracture admissions. Results show that short breaks of four to six days reduce 30-day mortality rates by around six percent relative to no breaks. Notably, short breaks also affect the type of surgery carried out, holding patient characteristics fixed. Overall, these findings show that the organisation of surgeons' activity is a possible determinant of the quality of care provided.

Forgetting-by-not-doing: The case of surgeons and cesarean sections

This paper provides new evidence on the link between patient outcome and physician experience. Using birth certificates data from a large hospital in Italy, I analyze whether cesarean section surgeons who have performed more procedures in the recent past observe an improvement in performance. By using data from the Italian health care system, where patients are not allowed to choose their physician, I lower concerns of potential reverse causality (selective referral). I find evidence indicating a strong learning-by-doing effect: for emergent cases, a one standard deviation increase in recent experience reduces the likelihood of neonatal intensive care unit admission by nearly 3.2 percentage points (13.8%) and of being born with a low Apgar Score by about 1.9 percentage points (13.2%), all else equal. This effect is not present for the case of elective C-sections.

Maintaining technical proficiency in senior surgical fellows during the COVID-19 pandemic through virtual teaching

Objectives

The novel coronavirus (COVID-19) pandemic resulted in a severe reduction in operative opportunities for trainees. We hypothesized that augmenting independent practice with a bench model of vascular anastomoses using regular videoconferences and individual feedback would provide meaningful benefit in maintenance of technical skills in senior lung transplant surgical fellows.

Methods

A lung transplantation virtual technical skills course was developed. Surgical fellows were provided with a bench model and surgical instruments. Using a virtual communication platform, teaching sessions were held twice weekly, and fellows performed an anastomosis on camera. Video recordings were reviewed and critiqued by attending staff. At the end of the 3-month course, participants were surveyed about their experience. Warm ischaemic time was compared between fellows' five most recent cases before and after the pandemic.

Results

Seven senior surgical fellows participated and provided feedback. Fellows had graduated medical school an average of 14 years prior to fellowship, and spent an average of 5 hours (range 1.3 - 15 hours) of home practice. Five of seven (71%) participants reported improvement in their technical skills and increased confidence in performing a lung transplant. No significant difference in warm ischaemic time in procedures performed by fellows was identified (70.3 minutes pre-pandemic vs. 68.3 minutes post pandemic, p = 0.68).

Conclusions

A program of virtual technical skills teaching, individual video coaching, and independent practice provided benefit in maintaining technical skills in lung transplant surgical fellows during the COVID-19 pandemic, when equivalent operative experience was unavailable. Lessons learned from this exceptional time can be used to create simulation curricula for senior trainees.

Advantages of, and Adaptations to, Enhanced Recovery Protocols for Perioperative Care during the COVID-19 Pandemic

Objective

This review formulates the rationale for using enhanced recovery protocols (ERPs) to standardize and optimize perioperative care during this high-risk time to minimize poor outcomes owing to provider, patient, and system vulnerabilities.

Data Sources

n/a

Methods of Study Selection

A literature review using key Medical Subject Headings terms was performed—according to methods described by the Cochrane Collaboration and Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines—on studies that described enhanced recovery and coronavirus disease (COVID-19).

Tabulation, Integration, and Results

Modifications to our existing ERPs related to the COVID-19 pandemic should include new accommodations for patient education, preoperative COVID-19 testing, prehabilitation, and intraoperative infection as well as thromboembolism risk reduction.

Conclusion

ERPs are evidence-based, best practice guidelines applied across the perioperative continuum to mitigate surgical stress, decrease complications, and accelerate recovery. These benefits are part of the high-value–care equation needed to solve the clinical, operational, and financial challenges of the current COVID-19 pandemic. The factors driving outcomes on ERPs, such as the provision of minimally invasive surgery, warrant careful consideration. Tracking patient outcomes and improving care in response to outcomes data are key to the success of clinical care protocols such as ERPs. Numerous emerging clinical registries and reporting systems have been activated to provide outcomes data on the impact of COVID-19. This will inform and change surgical practice as well as provide opportunity to learn if the advantages that surgeons, patients, and the healthcare system might gain from using ERPs during a pandemic are meaningful.

Learning from failure in healthcare: Dynamic panel evidence of a physician shock effect

Procedural failures of physicians or teams in interventional healthcare may positively or negatively predict subsequent patient outcomes. We identify this effect by applying (non)linear dynamic panel methods to data from the Belgian transcatheter aorta valve implantation registry containing information on the first 860 transcatheter aorta valve implantation procedures in Belgium. We find that a previous death of a patient positively and significantly predicts subsequent survival of the succeeding patient. We find that these learning from failure effects are not long-lived and that learning from failure is transmitted across adverse events.

Does my high blood pressure improve your survival? Overall and subgroup learning curves in health

Learning curves in health are of interest for a wide range of medical disciplines, healthcare providers, and policy makers. In this paper, we distinguish between three types of learning when identifying overall learning curves: economies of scale, learning from cumulative experience, and human capital depreciation. In addition, we approach the question of how treating more patients with specific characteristics predicts provider performance. To soften collinearity problems, we explore the use of least absolute shrinkage and selection operator regression as a variable selection method and Theil-Goldberger mixed estimation to augment the available information. We use data from the Belgian Transcatheter Aorta Valve Implantation (TAVI) registry, containing information on the first 860 TAVI procedures in Belgium. We find that treating an additional TAVI patient is associated with an increase in the probability of 2-year survival by about 0.16%-points. For adverse events like renal failure and stroke, we find that an extra day between procedures is associated with an increase in the probability for these events by 0.12%-points and 0.07%-points, respectively. Furthermore, we find evidence for positive learning effects from physicians' experience with defibrillation, treating patients with hypertension, and the use of certain types of replacement valves during the TAVI procedure.