The value of residency program characteristics changes throughout urology training.

INTRODUCTION: The purpose of this study was to determine which characteristics of urology residency programs are most highly valued by medical students and residents, and how these change during training. MATERIALS AND METHODS: We distributed a survey to urology residents and medical students interested in urology via program director email and social media. The survey collected demographic data, future career plans, and asked respondents to rank the relative importance of six categories of residency program characteristics and specific characteristics within each category. RESULTS: Among the six categories of residency characteristics, resident experience was ranked most important by both medical students and residents, followed by geography and clinical experience which were tied. Medical students ranked clinic experience and formal mentorship with greater importance while residents placed higher value on the active role of clinical faculty and help from advanced practice providers. Trainees planning for an academic career ranked research experiences and resident diversity as more important than those entering private practice. CONCLUSIONS: Residents and medical students mostly agreed on the relative importance of residency program characteristics. The differences observed suggest that as trainees gain experience they place greater importance on informal relationships with faculty and value characteristics that enhance surgical training such as support from advanced practice providers and less time in clinic. These findings may guide programs on what information to include on their websites and presentations.

Use of Persuasive Language in Communication of Risk during Prostate Cancer Treatment Consultations.

BACKGROUND: Physician treatment preference may influence how risks are communicated in prostate cancer consultations. We identified persuasive language used when describing cancer prognosis, life expectancy, and side effects in relation to a physician's recommendation for aggressive (surgery/radiation) or nonaggressive (active surveillance/watchful waiting) treatment. METHODS: A qualitative analysis was performed on transcribed treatment consultations of 40 men with low- and intermediate-risk prostate cancer across 10 multidisciplinary providers. Quotes pertaining to cancer prognosis, life expectancy, and side effects were randomized. Coders predicted physician treatment recommendations from isolated blinded quotes. Testing characteristics of consensus predictions against the physician's treatment recommendation were reported. Coders then identified persuasive strategies favoring aggressive/nonaggressive treatment for each quote. Frequencies of persuasive strategies favoring aggressive/nonaggressive treatment were reported. Logistic regression quantified associations between persuasive strategies and physician treatment recommendations. RESULTS: A total of 496 quotes about cancer prognosis (n = 127), life expectancy (n = 51), and side effects (n = 318) were identified. The accuracy of predicting treatment recommendation based on individual quotes containing persuasive language (n = 256/496, 52%) was 91%. When favoring aggressive treatment, persuasive language downplayed side effect risks and amplified cancer risk (recurrence, progression, or mortality). Significant predictors (P < 0.05) of aggressive treatment recommendation included favorable side effect interpretation, downplaying side effects, and long time horizon for cancer risk due to longevity. When favoring nonaggressive treatment, persuasive language amplified side effect risks and downplayed cancer risk. Significant predictors of nonaggressive treatment recommendation included unfavorable side effect interpretation, favorable interpretation of cancer risk, and short time horizon for cancer risk due to longevity. CONCLUSIONS: Physicians use persuasive language favoring their preferred treatment, regardless of whether their recommendation is appropriate. IMPLICATIONS: Clinicians should quantify risk so patients can judge potential harm without solely relying on persuasive language. HIGHLIGHTS: Physicians use persuasive language favoring their treatment recommendation when communicating risks of prostate cancer treatment, which may influence a patient's treatment choice.Coders predicted physician treatment recommendations based on isolated, randomized quotes about cancer prognosis, life expectancy, and side effects with 91% accuracy.Qualitative analysis revealed that when favoring nonaggressive treatment, physicians used persuasive language that amplified side effect risks and downplayed cancer risk. When favoring aggressive treatment, physicians did the opposite.Providers should be cognizant of using persuasive strategies and aim to provide quantified assessments of risk that are jointly interpreted with the patient so that patients can make evidence-based conclusions regarding risks without solely relying on persuasive language.

Implementation and Validation of a High-fidelity Simulation Model for Surgical Resident Training: Management of Acute Intraoperative Hemorrhage during Robot-assisted Surgery.

OBJECTIVE: To improve our previous simulation-based training module by using sustainable material to mold an anatomically accurate terrain and reproducing major vascular injuries encountered during robot-assisted nephrectomy. METHODS: The simulator was built with a pump, gauge, and valve linked via silicone tubing. Artificial blood was made from cornstarch, water, and red dye, and pumped through 3D-Med artificial vessels with the dimensions of an average renal artery. Silicone was used to emulate the pliability of organic tissue and mold an anatomically accurate terrain. Eight urologic residents participated in the pilot simulation. We employed validated assessment tools including Non-Technical Skills for Surgeons and Objective Structured Assessment of Technical Skills forms to guide debrief sessions moderated by an expert physician after individual performance evaluations. RESULTS: The apparatus demonstrated high reproducibility across all simulation scenarios, enhancing resident problem-solving skills. Residents' pre-simulation surveys revealed significant concern regarding their acute hemorrhage management. Residents' post-simulation survey demonstrated average realism scores increased from 4.375 to 4.75. Residents also felt the simulator enhanced learning, offering valuable practice and knowledge applicable to their surgical specialty. CONCLUSION: The management of acute hemorrhage during robot-assisted surgery remains a space for additional surgical education and training. Our simulation successfully provided a reliable, reproducible training for residents to practice their technical and non-technical skills in managing acute hemorrhage.

Measuring the impact of maternal critical care admission on short- and longer-term maternal and birth outcomes.

PURPOSE: Factors increasing the risk of maternal critical illness are rising in prevalence in maternity populations. Studies of general critical care populations highlight that severe illness is associated with longer-term physical and psychological morbidity. We aimed to compare short- and longer-term outcomes between women who required critical care admission during pregnancy/puerperium and those who did not. METHODS: This is a cohort study including all women delivering in Scottish hospitals between 01/01/2005 and 31/12/2018, using national healthcare databases. The primary exposure was intensive care unit (ICU) admission, while secondary exposures included high dependency unit admission. Outcomes included hospital readmission (1-year post-hospital discharge, 1-year mortality, psychiatric hospital admission, stillbirth, and neonatal critical care admission). Multivariable Cox and logistic regression were used to report hazard ratios (HR) and odds ratios (OR) of association between ICU admission and outcomes. RESULTS: Of 762,918 deliveries, 1449 (0.18%) women were admitted to ICU, most commonly due to post-partum hemorrhage (225, 15.5%) followed by eclampsia/pre-eclampsia (133, 9.2%). Over-half (53.8%) required mechanical ventilation. One-year hospital readmission was more frequent in women admitted to ICU compared with non-ICU populations [24.5% (n = 299) vs 8.9% (n = 68,029)]. This association persisted after confounder adjustment (HR 1.93, 95% confidence interval [CI] 1.33, 2.81, p < 0.001). Furthermore, maternal ICU admission was associated with increased 1-year mortality (HR 40.06, 95% CI 24.04, 66.76, p < 0.001), stillbirth (OR 12.31, 95% CI 7.95,19.08, p < 0.001) and neonatal critical care admission (OR 6.99, 95% CI 5.64,8.67, p < 0.001) after confounder adjustment. CONCLUSION: Critical care admission increases the risk of adverse short-term and long-term maternal, pregnancy and neonatal outcomes. Optimizing long-term post-partum care may benefit maternal critical illness survivors.