Trends in hospital price transparency after implementation of the CMS Final Rule.

OBJECTIVE: To assess trends in hospital price disclosures after the Centers for Medicare & Medicaid Services (CMS) Final Rule went into effect. DATA SOURCES AND STUDY SETTING: The Turquoise Health Price Transparency Dataset was used to identify all US hospitals that publicly displayed pricing from 2021 to 2023. STUDY DESIGN: Price-disclosing versus nondisclosing hospitals were compared using Pearson's Chi-squared and Wilcoxon rank sum tests. Bayesian structural time-series modeling was used to determine if enforcement of increased penalties for nondisclosure was associated with a change in the trend of hospital disclosures. DATA COLLECTION/EXTRACTION METHODS: Not applicable. PRINCIPAL FINDINGS: As of January 2023, 5162 of 6692 (77.1%) US hospitals disclosed pricing of their services, with the majority (2794 of 5162 [54.1%]) reporting their pricing within the first 6 months of the final rule going into effect in January 2021. An increase in hospital disclosures was observed after penalties for nondisclosure were enforced in January 2022 (relative effect size 20%, p = 0.002). Compared with nondisclosing hospitals, disclosing hospitals had higher annual revenue, bed number, and were more likely to be have nonprofit ownership, academic affiliation, provide emergency services, and be in highly concentrated markets (p < 0.001). CONCLUSIONS: Hospital pricing disclosures are continuously in flux and influenced by regulatory and market factors.

High variability in self-pay pricing for vasectomy and vasectomy reversal in the United States.

CONTEXT: In the United States (US) men who undergo vasectomy and/or vasectomy reversal (vasovasotomy) are likely to pay out-of-pocket for these procedures. We characterized the publicly disclosed pricing of both procedures with a focus on variability in self-pay prices. METHODS: We queried all US hospitals for publicly disclosed prices of vasectomy and vasovasotomy. We assessed interhospital variability in self-pay pricing and compared hospitals charging high (≥75th percentile) and low (≤25th percentile) self-pay prices for either procedure. We also examined trends in pricing after the 2022 US Supreme Court decision that allowed individual states to ban abortion. RESULTS: Of 6692 hospitals, 1375 (20.5%) and 281 (4.2%) disclosed self-pay prices for vasectomy and vasovasotomy, respectively. There was a 17-fold difference between the 10th and 90th percentile self-pay prices for vasectomy ($421-$7147) and a 39-fold difference for vasovasotomy ($446-$17,249). Compared with hospitals charging low (≤25th percentile) self-pay prices for vasectomy or vasovasotomy, hospitals charging high (≥75th percentile) prices were larger (median 150 vs. 59 beds, p < 0.001) and more likely to be for-profit (31.2% vs. 7.8%, p < 0.001), academic-affiliated (52.7% vs. 23.1%, p < 0.001), and located in an urban zip code (70.1% vs. 41.3%, p < 0.001). From October 2022 to April 2023, the median self-pay price of vasectomy increased by 10% (from $1667 to $1832) while the median self-pay price of vasovasotomy decreased by 16% (from $3309 to $2786). CONCLUSION: We found large variability in self-pay pricing for vasectomy and vasectomy reversal, which may serve as a barrier to the accessibility of male reproductive care.

Trends, Cost, and Predictors of Local Hemostatics Use in Major Urological Surgery.

INTRODUCTION: The national usage and cost trends associated with hemostatic agents in major urologic procedures remain unknown. This study aims to describe the trends, costs, and predictors of local hemostatic use in major urologic surgeries. METHODS: We utilized the Premier Healthcare Database to analyze 385,261 patient encounters between 2000 and 2020. Our primary objective was to describe the usage patterns of topical hemostatic agents in open and laparoscopic/robotic major urological surgeries. The data from the last 5 years (2015-2020) were used to characterize specific cost trends, and multivariable regression analysis was performed to identify predictors of hemostatic agent use in relation to surgical approach, patient, and hospital characteristics. RESULTS: By 2020, at least 1 topical hemostatic agent was used in 37.3% (95% CI: 35.5-39.1) of laparoscopic/robotic prostatectomies and 30.7% (95% CI: 24.2-37.1) of open prostatectomies; 60.8% (95% CI: 57.6-64.1) of laparoscopic/robotic partial nephrectomies and 55.9% (95% CI: 47.3-64.5) of open partial nephrectomies; 40.7% (95% CI: 36.9-44.3) of laparoscopic/robotic radical nephrectomies and 43.2% (95% CI: 38.8-47.6) of open radical nephrectomies; and 40.52% (95% CI: 35.02-46.02) of open radical cystectomies. For the 2015-2020 cohort, predictors for hemostatic agent use varied by surgery type and included gender, race, surgical approach, insurance coverage, geographical location, urbanicity, and attending volume. The cost of the hemostatic agent accounted for less than 1.6% of the total cost of hospitalization for each procedure. CONCLUSIONS: The use of hemostatic agents in major urologic surgeries has grown over the past 2 decades. For all procedures, the specific cost of using a hemostatic agent constitutes a small fraction of the total hospitalization cost and does not vary significantly between open and laparoscopic/robotic approaches. Some patient, surgeon, and hospital characteristics are highly correlated with their use.

Insurer coverage of prostate cancer biomarkers.

INTRODUCTION: Several recently-developed prostate cancer (CaP) biomarkers are recommended per national guidelines, yet feasibility of obtaining these tests is unknown. We used a national database to assess insurance coverage of CaP biomarkers. MATERIALS AND METHODS: Insurance policies regarding 4K Score, ExoDx, My Prostate Score, Prostate Cancer Antigen 3, Prostate Health Index, and SelectMDx as of January 1, 2022 were extracted from the policy reporter database. Coverage was defined as a biomarker being deemed medically necessary, conditionally covered, or covered with prior authorization. Overall rates of biomarker coverage were compared by insurance type and region using Chi-squared test. SelectMDx was not covered by any queried policies and was omitted from analysis. RESULTS: A total of 186 insurance plans were identified among 131 payers. Of the 186 plans, 109 (59%) covered at least one biomarker, with prior authorization required for 38 (35%) of these plans. Prostate Cancer Antigen 3 and 4K Score had higher rates of coverage compared to ExoDx, Prostate Health Index, and My Prostate Score (52% and 43% vs. 26%, 26%, and 5%, respectively, P < 0.01). Medicare plans had higher rates of coverage compared to non-Medicare plans (80% Medicare vs. 17% commercial, 15% federal employer, and 13% Medicaid, P < 0.01), and nationwide plans had higher coverage rates compared to regional plans (43% nationwide vs. 32% midwest, 27% northeast, 25% south, 24% west, P < 0.01). Covered biomarkers under Medicare plans were less likely to require prior authorization compared to those covered by non-Medicare plans (12% Medicare vs. 63% commercial, 100% federal employer, 70% Medicaid, P < 0.01). CONCLUSIONS: Coverage of novel CaP biomarkers are relatively robust for Medicare plans but sparse for non-Medicare plans, with the majority of non-Medicare plans requiring prior authorization. Non-Medicare eligible men may face significant barriers to obtaining these tests.

Price transparency of prostate cancer care in the United States: An analysis of pricing and disclosure following the centers for medicare and medicaid mandate.

BACKGROUND: Starting January 1, 2021, Centers for Medicare and Medicaid Services required United States hospitals to publicly disclose prices of their services provided. We analyzed publicly-disclosed prices of prostate cancer-related services. METHODS: All United States hospitals were queried for publicly-disclosed prices of total and free prostate-specific antigen, prostate magnetic resonance imaging, prostate biopsy, radical prostatectomy, and intensity-modulated radiation therapy as of May 2022. Prices were adjusted by regional price parity. Hospitals disclosing prices were compared with non-disclosing hospitals. RESULTS: Of 6013 hospitals, 3840 (64%) disclosed pricing for at least one prostate cancer-related service. Compared to non-disclosing hospitals, disclosing hospitals had higher median gross annual revenue ($318,502,426 vs. $62,930,436, p < 0.001) and were more likely to be non-profit (56% vs. 30%, p < 0.001), academic-affiliated (46% vs. 13%, p < 0.001), and in neighborhoods with low hospital density (68% vs 62%, p < 0.001). Self-pay prices were higher than insurance-negotiated prices for all services (p < 0.001) other than prostate biopsy. The range of pricing was widest for self-pay prostatectomy, with a 32-fold difference from 90th to 10th percentile ($47,445 to $1476). Self-pay prices of total prostate-specific antigen, magnetic resonance imaging, biopsy, intensity-modulated radiation therapy, and prostatectomy were higher at academic vs. non-academic, for-profit vs. non-profit hospitals, and hospitals in the top quartile of gross annual revenue vs. the third and fourth quartiles (p < 0.01). Self-pay prices of prostate biopsy and prostatectomy were higher in urban vs. rural neighborhoods and neighborhoods with high vs. low hospital density (p < 0.001). CONCLUSIONS: Self-pay prices of prostate cancer services were generally higher than insurance-negotiated prices and were higher at for-profit hospitals, academic hospitals, and hospitals in the highest quartile of gross annual revenue. Higher neighborhood hospital density was not associated with higher likelihood of price disclosure nor lower pricing of services, suggesting that local competition does not lead to lower prices and may disincentivize disclosure of prices.

Intensity of observation with active surveillance or watchful waiting in men with prostate cancer in the United States.

BACKGROUND: Population-based studies assessing various active surveillance (AS) protocols for prostate cancer, to date, have inferred AS participation by the lack of definitive treatment and use of post-diagnostic testing. This is problematic as evidence suggests that most men do not adhere to AS protocols. We sought to develop a novel method of identifying men on AS or watchful waiting (WW) independent of post-diagnostic testing and aimed to identify possible predictors of follow-up intensity in men on AS/WW. METHODS: A predictive model was developed using SEER watchful waiting data to identify men ≥66 years on AS between 2010-2015, irrespective of post-diagnostic testing, and applied to SEER-Medicare database. AS intensity among different variables including age, prostate-specific antigen (PSA) level, number of total and positive biopsy cores, Charlson comorbidity index, race (Black vs. non-Black), US census region, and county poverty, income, and education levels were compared using multivariable regression analyses for PSA testing, surveillance biopsy, and magnetic resonance imaging (MRI). RESULTS: A total of 2238 men were identified as being on AS. Of which, 81%, 33%, and 10% had a PSA test, surveillance biopsy, and MRI scan within 1-2 years, respectively. On multivariable analyses, Black men were less likely to have a PSA test (adjusted rate ratio [ARR] 0.60, 95% CI: 0.53-0.69), MRI scan (ARR 0.40, 95% CI: 0.24-0.68), and surveillance biopsy (ARR 0.71, 95% CI: 0.55-0.92) than non-Black men. Men within the highest income quintile were more likely to undergo PSA test (ARR 1.16, 95% CI: 1.05-1.27) and MRI scan (ARR 1.60, 95% CI 1.15-2.27) compared to men with the lowest income. CONCLUSIONS: Black men and men with lower incomes on AS underwent less rigorous monitoring. Further study is needed to understand and ameliorate differences in AS rigor stemming from sociodemographic differences.

Sociodemographic Disparities in Access to Chemotherapy for Bladder Cancer.

BACKGROUND: We sought to evaluate sociodemographic disparities in access to neoadjuvant (NAC) and adjuvant (AC) chemotherapy in the United States and their effect on survival. METHODS: The National Cancer Database was used to identify all patients from 2004 to 2016 eligible for NAC and AC. Univariate and multivariate logistic regression was performed to identify sociodemographic predictors associated with receipt of NAC and AC. Kaplan-Meier and Cox proportional hazard models were used for survival analysis. RESULTS: A total of 17,121 patients were eligible for NAC, and 18,962 for AC. Older (OR 0.94, P < .001), Medicare (OR 0.88, P = .047), Medicaid (OR 0.66, P = .001), uninsured (OR 0.47, P < .001), rural (OR 0.70, P = .042), and community hospital patients (OR 0.72, P < .001) were less likely to receive NAC. Older, (OR 0.95, P < .001), female (OR 0.79, P < .001), Medicaid (OR 0.71, P = .003), uninsured (OR 0.60, P = .001), and lower income patients (OR 0.86, P = .017) were less likely to receive AC. In NAC-eligible patients, older (HR 1.02, P < .001), Medicare (HR 1.11, P = .024), Medicaid (HR 1.25, P = .012), and community hospital patients (HR 1.09, P = .021) were at an increased risk of death. In AC-eligible patients, older (HR 1.01, P < .001), Black (HR 1.15, P = .011), Medicaid (HR 1.14, P = .042), lower income (HR 1.07, P = .038) and community hospital patients (HR 1.07, P = .021) were at an increased risk of death. CONCLUSIONS: Significant sociodemographic disparities currently exist in the United States in access to neoadjuvant and adjuvant chemotherapy for bladder cancer. Uninsured and Medicaid insurance status are the strongest predictors of not receiving chemotherapy. Efforts must be made to deliver this critical standard-of-care treatment to these patients.

The impact of socioeconomic status on perioperative complications and oncologic outcomes in patients undergoing radical cystectomy.

PURPOSE: To examine if patients of lower socioeconomic status (SES) are at higher risk of perioperative complications and experience different oncologic outcomes after radical cystectomy (RC). METHODS: Retrospective review was performed on 383 consecutive non-metastatic patients who underwent definitive RC at a tertiary referral center. Along with clinical and pathologic parameters traditionally utilized for risk stratification, potential social determinants of health were estimated using US Census data. Zip code-derived proxies of SES included median annual household income and percentage of residents completing high school education. Patients were grouped based on SES parameters, and potential differences were assessed. Multivariable logistic regression was then performed to identify predictors of complication within 90 days of RC. Survival outcomes were plotted using Kaplan-Meier survival curves. RESULTS: Overall, 167 (46.2%) patients suffered any complication within 90 days of RC. On multivariable analysis, length of stay (p ≤ 0.001), lower income grouping (p = 0.03), and lowest education tertile (p = 0.007) were significant predictors of any complication. Income (p = 0.04) and education (p = 0.008) groupings remained significant predictors in a subset analysis looking specifically at post-discharge complications. No significant differences in recurrence-free or overall survival estimates were observed among education (log-rank test: p > 0.9 and p = 0.6, respectively) or income (log-rank test: p = 0.2 and p = 0.09, respectively) groupings. CONCLUSION: Patients of lower socioeconomic status who undergo RC for bladder cancer are at increased risk of perioperative complications. Further studies are needed to clarify this relationship, and to explore interventions aimed to improve outcomes.