A 29-year-old man presenting with a retroperitoneal mass was found to have a testis lesion consistent with mixed germ cell tumor and the RPLND specimen showed teratoma with an area of central nervous system-type primitive neuroectodermal tumor (PNET) not present in the testis. Whether such primitive tumor components represent a de novo tumor component or represent progression from existing neuroepithelial teratomatous elements is unclear. Given the high likelihood of residual tumor and possibility of malignant transformation, post-chemotherapy RPLND remains vital in treating patients with testis cancer. PNET is chemo-resistant and lesions should be resected, without clear evidence for adjuvant chemotherapy.

Introduction

Rising health care costs are leading to efforts to minimize costs while maintaining high quality care. Practice variation in the operating room that is not dictated by patient necessity or clinical guidelines presents an opportunity for cost containment. We identified variation in surgical supply costs among urological surgeons performing laparoscopic nephrectomy and evaluated whether this variation was associated with patient outcomes.

Methods

A total of 211 consecutive laparoscopic nephrectomies performed at an academic center between September 1, 2012 and December 31, 2015 were identified and surgical supply costs for each case were determined from the institutional negotiated rate. Patient and surgical factors relevant to case complexity, comorbidity and perioperative outcomes were obtained. Univariate and multivariable analysis of predictors of surgical supply costs and patient outcome as determined by length of stay was conducted.

Results

Median supply cost was $2,537, with individual medians ranging from $1,642 to $4,524, representing a significant variation among surgeons (p <0.01). On multivariable analysis, accounting for patient factors and case complexity, most surgeons remained significant predictors of surgical supply costs. Case supply cost was not a significant predictor of patient outcomes as measured by length of stay on univariate or multivariable analysis controlling for surgeon, patient factors and case complexity.

Conclusions

Significant variation in surgeons' surgical supply costs for laparoscopic nephrectomy exists and is driven by surgeons, and this does not correlate with length of stay. Targeting variation in surgical supply costs in this setting represents an opportunity for cost savings without adversely impacting patient outcomes.

Purpose

The adequacy of the urologist work force in absolute numbers and relative distribution is unclear. To develop effective policies addressing the needs of an aging population we must better understand the urologist work force. We assessed the geographic distribution of urologists throughout the United States at the county level and determined the county characteristics associated with increased urologist density.

Materials and methods

County level data from the Department of Health and Human Services Area Resource File and the United States Census were analyzed in this ecological study. Logistic regression and ordinal logistic regression models were built to identify predictors of urologist density, defined as the number of urologists per 100,000 individuals. National patterns of urologist density were mapped graphically at the county level.

Results

Overall 63% of the counties in the United States lack a urologist. Based on multivariate models urologists were less likely to be found in nonmetropolitan counties (OR 0.57, 95% CI 0.46-0.72) and rural counties (OR 0.03, 95% CI 0.02-0.06) than in metropolitan counties, which confirmed visually mapped models. Patterns of urologist density also appeared to be influenced by climate and county education levels rather than by traditional socioeconomic measures. Urologists younger than 45 years old were 3 times less likely to be located in nonmetropolitan and rural counties than their older counterparts.

Conclusions

The uneven distribution of urologists throughout the United States is likely to worsen as younger physicians continue to cluster in urban areas. Governing bodies must consider this distribution in their calls for increasing the number of training positions.

Objective

The utilization of video telemedicine has dramatically increased due to the COVID-19 pandemic. However, significant social and technological barriers have led to disparities in access. We aimed to identify factors associated with patient inability to successfully initiate a video visit across a high-volume urologic practice.

Materials and methods

Video visit completion rates and patient characteristics were extracted from the electronic medical record and linked with census-level socioeconomic data. Associations between video visit failure were identified using multivariate regression modeling and random forest ensemble classification modeling.

Results

Six thousand eighty six patients and their first video visits were analyzed. On multivariate logistic regression analysis, Hispanic or Latino patients (OR 0.52, 95%CI 0.31-0.89), patients insured by Medicare (OR 0.46, 95%CI 0.26-0.79) or Medicaid (OR 0.50, 95%CI 0.29-0.87), patients of low socioeconomic status (OR 0.98, 95%CI 0.98-0.99), patients with an un-activated MyChart patient portal (OR 0.43, 95%CI 0.29-0.62), and patients unconfirmed at appointment reminder (OR 0.68, 95%CI 0.48-0.96) were significantly associated with video visit failure. Patients with primary diagnosis category of men's health (OR 47.96, 95%CI 10.24-856.35), and lower urinary tract syndromes (OR 2.69, 95%CI 1.66-4.51) were significantly associated with video visit success. Random forest analyses identified insurance status and socioeconomic status as the top predictors of video visit failure.

Conclusion

An analysis of a urology video telemedicine cohort reveals clinical and demographic disparities in video visit completion and priorities for future interventions to ensure equity of access. Our study further suggests that specific urologic indications may play a role in success or failure of video visits.

Context

Financial and demographic pressures in US require an understanding of the most efficient distribution of physicians to maximize population-level health benefits. Prior work has assumed a constant negative relationship between physician supply and mortality outcomes throughout the US and has not addressed regional variation.

Methods

In this ecological analysis, geographically weighted regression was used to identify spatially varying relationships between local urologist density and prostate cancer mortality at the county level. Data from 1,492 counties in 30 eastern and southern states from 2006-2010 were analyzed.

Findings

The ordinary least squares (OLS) regression found that, on average, increasing urologist density by 1 urologist per 100,000 people resulted in an expected decrease in prostate cancer mortality of -0.499 deaths per 100,000 men (95% CI -0.709 to -0.289, p-value < 0.001), or a 1.5% decrease. Geographic weighted regression demonstrated that the addition of one urologist per 100,000 people in counties in the southern Mississippi River states of Arkansas, Mississippi, and Louisiana, as well as parts of Illinois, Indiana, and Wisconsin is associated with decrease of 0.411 to 0.916 in prostate cancer mortality per 100,000 men (1.6-3.6%). In contrast, the urologist density was not significantly associated with the prostate state mortality in the new England region.

Conclusions

The strength of association between urologist density and prostate cancer mortality varied regionally. Those areas with the highest potential for effects could be targeted for increasing the supply of urologists, as it associated with the largest predicted improvement in prostate cancer mortality.