Real-world treatment patterns and medical costs of prostate cancer patients in Switzerland - A claims data analysis.

BACKGROUND: Prostate cancer (PC) is the most prevalent cancer in men in Switzerland. However, evidence on the real-world health care use of PC patients is scarce. The aim of this study is to describe health care utilization, treatment patterns, and medical costs in PC patients over a period of five years (2014-2018). METHOD: We used routinely collected longitudinal individual-level claims data from a major provider of mandatory health insurance in Switzerland. Due to the lack of diagnostic coding in the claims data, we identified treated PC patients based on the treatments received. We described health care utilization and treatment pathways for patients with localized and metastatic PC. Costs were calculated from a health care system perspective. RESULTS: A total of 5591 PC patients met the inclusion criteria. Between 2014 and 2018, 1741 patients had outpatient radiotherapy for localized or metastatic PC and 1579 patients underwent radical prostatectomy. 3502 patients had an androgen deprivation therapy (ADT). 9.5% of these patients had a combination therapy with docetaxel, and 11.0% had a combination with abiraterone acetate. Docetaxel was the most commonly used chemotherapy (first-line; n = 413, 78.4% of all patients in chemotherapy). Total medical costs of PC in Switzerland were estimated at CHF 347 m (95% CI 323-372) in 2018. CONCLUSION: Most PC patients in this study were identified based on the use of ADT. Medical costs of PC in Switzerland amounted to 0.45% of total health care spending in 2018. Treatment of metastatic PC accounted for about two thirds of spending.

Lived experiences of prostate cancer patients in an urban metropolis in North Central, Nigeria.

Prostate cancer (PCa) is currently the second most prevalent cancer in the world and the most common type of cancer among Nigerian men. This study explored the lived experiences of patients with PCa at the General Hospital in Ilorin, Kwara State, Nigeria. A mixed-method design was adopted. Purposive and consecutive sampling techniques were employed to recruit 50 and 10 participants for the quantitative and qualitative aspects respectively. Qualitative data was analyzed using thematic content analysis while quantitative data was analyzed using descriptive and inferential statistics. All participants were above the age of 50 years, 72% earned about $100 monthly while 68% were diagnosed in less than five years. Majority of the participants utilized adaptive coping styles and also found the strategies moderately helpful while living with the effects of radical prostatectomy. Participants also found the high cost of treatment severely challenging. Government and other stakeholders may need to subsidize the cost of PCa management thereby encouraging early accessibility to care, improved adherence to treatment and also reduce the economic burden of the disease on patients and their families.

[Improved prostate cancer diagnostics with a structured pathway including ¼Stockholm 3« test, MRI and targeted perineal biopsies]. / Strukturerad kedja vid test för prostatacancer kortar ledtider.

The Prostate Cancer Center at Capio S:t Göran hospital is located in Stockholm and offers testing for prostate cancer. The pathway applies task shifting from doctors to nurses and new and innovative test methods, and leverages digitalization opportunities to enable a cost-efficient pathway with high specificity and sensitivity. In this article, we describe our experiences of the Capio S:t Göran Model.

[Prehabilitation prior to radical prostatectomy : A useful concept?] / Prähabilitation vor radikaler Prostatektomie : Ein sinnvolles Konzept?

Against the background of a continuous improvement of established treatment outcomes and the compatibility of health economic considerations, pre- and perioperative processes are constantly being developed and further optimized. In recent years, the concept of prehabilitation has gained increasing importance as a proactive approach to preparing patients for mostly surgical cancer treatment and improving their physical and mental health. Prehabilitation in oncology is a systematic process aimed at improving the physical, psychosocial, and nutritional condition of patients before and during cancer treatment. The goal of prehabilitation is to enhance patients' ability to cope with the physiological stress of cancer treatment and improve their overall health and well-being. In addition, prehabilitation has the potential to reduce costs for the healthcare system.

Comparisons of Medical Cost Trajectories Between Non-Hispanic Black and Non-Hispanic White Patients With Newly Diagnosed Localized Prostate Cancer.

OBJECTIVES: This study applied a recently developed statistical method to compare the mean cost trajectories between non-Hispanic White (NHW) and non-Hispanic Black (NHB) patients with localized prostate cancer conditioning on patients' survival. METHODS: In this observational study, we modeled cost trajectories of NHW and NHB patients with localized prostate cancer for 3 survival durations: 24, 48, and 72 months. We also compared the cost trajectories between NHW and NHB, stratified by comorbidities scores. RESULTS: We find that the mean cost trajectories of NHB were significantly higher than the trajectories of NHW in the last 12 months before death, regardless of the survival duration and patients' baseline comorbidity scores. For patients with comorbidity score ≥2, mean cost trajectories within the first year of diagnosis for NHB were significantly higher than those for NHW, except for the subgroup of patients with comorbidity 2-3 and whose survival length was 72 months. CONCLUSIONS: Our results suggested that a higher proportion of NHB patients with high comorbidity scores are likely contribute to their higher end-of-life costs than those for NHW patients. To narrow the gap in healthcare-related financial burden between NHB and NHW patients with localized prostate cancer, policy makers need to explore different strategies to better manage comorbidities.

The costs and inequities of precision medicine for patients with prostate cancer: A call to action.

Financial toxicity is a growing problem in the delivery of cancer care and contributes to inequities in outcomes across the cancer care continuum. Racial/ethnic inequities in prostate cancer, the most common cancer diagnosed in men, are well described, and threaten to widen in the era of precision oncology given the numerous structural barriers to accessing novel diagnostic studies and treatments, particularly for Black men. Gaps in insurance coverage and cost sharing are 2 such structural barriers that can perpetuate inequities in screening, diagnostic workup, guideline-concordant treatment, symptom management, survivorship, and access to clinical trials. Mitigating these barriers will be key to achieving equity in prostate cancer care, and will require a multi-pronged approach from policymakers, health systems, and individual providers. This narrative review will describe the current state of financial toxicity in prostate cancer care and its role in perpetuating racial inequities in the era of precision oncology.

Radiotherapy Deserts: The Impact of Race, Poverty, and the Rural-Urban Continuum on Density of Providers and the Use of Radiation Therapy in the US.

PURPOSE: Prior efforts to characterize disparities in radiation therapy access and receipt have not comprehensively investigated interplay between race, socioeconomic status, and geography relative to oncologic outcomes. This study sought to define these complex relationships at the US county level for prostate cancer (PC) and invasive breast (BC) cancer to build a tool that facilitates identification of "radiotherapy deserts"-regions with mismatch between radiation therapy resources and oncologic need. METHODS AND MATERIALS: An ecologic study model was constructed using national databases to evaluate 3,141 US counties. Radiation therapy resources and use densities were operationalized as physicians to persons at risk (PPR) and use to persons at risk (UPR): the number of attending radiation oncologists and Medicare beneficiaries per 100,000 persons at risk, respectively. Oncologic need was defined by "hot zone" counties with ≥2 standard deviations (SDs) above mean incidence and death rates. Univariable and multivariable logistic regressions examined links between PPR and UPR densities, epidemiologic variables, and hot zones for oncologic outcomes. Statistics are reported at a significance level of P < .05. RESULTS: The mean (SD) PPR and UPR densities were 2.1 (5.9) and 192.6 (557.6) for PC and 1.9 (5.3) and 174.4 (501.0) for BC, respectively. Counties with high PPR and UPR densities were predominately metropolitan (odds ratio [OR], 2.9-4.4), generally with a higher percentage of Black non-Hispanic constituents (OR, 1.5-2.3). Incidence and death rate hot zones were largely nonmetropolitan (OR, 0.3-0.6), generally with a higher percentage of Black non-Hispanic constituents (OR, 3.2-6.3). Lower PPR density was associated with death rate hot zones for both types of cancer (OR, 0.8-0.9); UPR density was generally not linked to oncologic outcomes on multivariable analysis. CONCLUSIONS: The study found that mismatch between oncologic need with PPR and UPR disproportionately affects nonmetropolitan communities with a higher percentage of Black non-Hispanic constituents. An interactive web platform (bit.ly/densitymaps) was developed to visualize "radiotherapy deserts" and drive targeted investigation of underlying barriers to care in areas of highest need, with the goal of reducing health inequities in this context.

Heterogeneity in Radiotherapeutic Parameter Assumptions in Cost-Effectiveness Analyses in Prostate Cancer: A Call for Uniformity.

OBJECTIVES: Cost-effectiveness analyses (CEAs) may provide useful data to inform management decisions depending on the robustness of a model's input parameters. We sought to determine the level of heterogeneity in health state utility values, transition probabilities, and cost estimates across published CEAs assessing primarily radiotherapeutic management strategies in prostate cancer. METHODS: We conducted a systematic review of prostate cancer CEAs indexed in MEDLINE between 2000 and 2018 comparing accepted treatment modalities across all cancer stages. Search terms included "cost effectiveness prostate," "prostate cancer cost model," "cost utility prostate," and "Markov AND prostate AND (cancer OR adenocarcinoma)." Included studies were agreed upon. A Markov model was designed using the parameter estimates from the systematic review to evaluate the effect of estimate heterogeneity on strategy cost acceptability. RESULTS: Of 199 abstracts identified, 47 publications were reviewed and 37 were included; 508 model estimates were compared. Estimates varied widely across variables, including gastrointestinal toxicity risk (0%-49.5%), utility of metastatic disease (0.25-0.855), intensity-modulated radiotherapy cost ($21 193-$61 996), and recurrence after external-beam radiotherapy (1.5%-59%). Multiple studies assumed that different radiotherapy modalities delivering the same dose yielded varying cancer control rates. When using base estimates for similar parameters from included studies, the designed model resulted in 3 separate acceptability determinations. CONCLUSIONS: Significant heterogeneity exists across parameter estimates used to perform CEAs evaluating treatment for prostate cancer. Heterogeneity across model inputs yields variable conclusions with respect to the favorability and cost-effectiveness of treatment options. Decision makers are cautioned to review estimates in CEAs to ensure they are up to date and relevant to setting and population.

Systematic Review of Cost-Effectiveness Models in Prostate Cancer: Exploring New Developments in Testing and Diagnosis.

OBJECTIVES: Recent innovations in prostate cancer diagnosis include new biomarkers and more accurate biopsy methods. This study assesses the evidence base on cost-effectiveness of these developments (eg, Prostate Health Index and magnetic resonance imaging [MRI]-guided biopsy) and identifies areas of improvement for future cost-effectiveness models. METHODS: A systematic review using the National Health Service Economic Evaluation Database, MEDLINE, Embase, Health Technology Assessment databases, National Institute for Health and Care Excellence guidelines, and United Kingdom National Screening Committee guidance was performed, between 2009 and 2021. Relevant data were extracted on study type, model inputs, modeling methods and cost-effectiveness conclusions, and results narratively synthesized. RESULTS: A total of 22 model-based economic evaluations were included. A total of 11 compared the cost-effectiveness of new biomarkers to prostate-specific antigen testing alone and all found biomarkers to be cost saving. A total of 8 compared MRI-guided biopsy methods to transrectal ultrasound-guided methods and found MRI-guided methods to be most cost-effective. Newer detection methods showed a reduction in unnecessary biopsies and overtreatment. The most cost-effective follow-up strategy in men with a negative initial biopsy was uncertain. Many studies did not model for stage or grade of cancer, cancer progression, or the entire testing and treatment pathway. Few fully accounted for uncertainty. CONCLUSIONS: This review brings together the cost-effectiveness literature for novel diagnostic methods in prostate cancer, showing that most studies have found new methods to be more cost-effective than standard of care. Several limitations of the models were identified, however, limiting the reliability of the results. Areas for further development include accurately modeling the impact of early diagnostic tests on long-term outcomes of prostate cancer and fully accounting for uncertainty.

Medication adherence among patients with advanced prostate cancer using oral therapies.

Aims: In light of the extended overall survival and improved quality of life provided by advanced prostate cancer (PC) oral therapies, this study aimed to describe treatment adherence to advanced PC oral therapies and evaluate associated patient characteristics and subsequent healthcare resource utilization (HRU). Patients & methods: Patients with advanced PC initiating apalutamide, enzalutamide or abiraterone acetate were identified from administrative data (October 1, 2014-September 30, 2019). Adherence and persistence at six months postinitiation were used to evaluate patient factors and HRU. Results: Aged ≥75 years, Black race, chemotherapy use and higher pharmacy paid amounts were associated with poor adherence/persistence, which translated to higher HRU. Conclusions: Strategies to increase adherence and persistence may improve patient outcomes and associated HRU.

Lay abstract This study included 27,262 patients with advanced prostate cancer who started taking one of three oral cancer medications (apalutamide, enzalutamide or abiraterone acetate) between October 2014 and September 2019. Patients who were black, aged 75 years or older, who had chemotherapy or who had higher prescription costs had the most difficulty following dosing guidelines or staying on treatment. Patients who did not follow dosing guidelines required more healthcare services. In light of the extended survival and improved quality of life that oral cancer medication for advanced prostate cancer provides, helping patients to take the correct medication dose, at the right time, and for the recommended length of time may improve their outcomes and reduce medical costs.

Socioeconomic Gradients in Prostate Cancer Incidence Among Canadian Males: A Trend Analysis From 1992 to 2010.

INTRODUCTION: Understanding the effects of socioeconomic status on cancer incidence and their trends over time will help inform public health interventions for cancer control. This study sought to investigate trends in socioeconomic inequalities in prostate cancer incidence among Canadian males. METHODS: Using a census division level dataset (n = 280) constructed from the Canadian Cancer Registry, Canadian Census of Population (1992, 1996, 2001, 2006) and 2011 National Household Survey, we examined the effect of socioeconomic status on prostate cancer incidence among Canadian males between 1992 and 2010. The age-adjusted concentration index was used to quantify education/income-related inequalities in prostate cancer incidence. RESULTS: The crude prostate cancer incidence increased from 115 to 137 per 100 000 males in Canada from 1992 to 2010 with a peak in 2007. The rate increased significantly in all but three of four western provinces. The age-adjusted concentration index showed a higher concentration of prostate cancer diagnoses among males living in high-income neighbourhoods in Canada in particular from 1996 to 2005. In contrast, the index was higher among males living in less-educated neighbourhoods in the most recent study years (2006-2010). CONCLUSIONS: The concentration of new prostate cancer cases among high-income populations in Canada may be explained by the rise of opportunistic screening of asymptomatic males; however, this should be studied in further detail. Since we found a higher incidence rate of prostate cancer among less-educated males in Canada in recent years, risk-benefit investigation of primary prevention and opportunistic screening for less-educated males is advised.

Out-of-pocket costs for commercially insured patients with localized prostate cancer.

PURPOSE: Financial toxicity is an underappreciated component of cancer survivorship. Treatment-specific out-of-pocket costs for patients undergoing localized prostate cancer treatment have not, to date, been described and may influence patient's decision making. METHODS: We performed a retrospective cohort study among commercially-insured patients in the United States with incident prostate cancer from 2013 to 2018. We captured out-of-pocket and total costs in the year following diagnosis and compared these between patients receiving radical prostatectomy, radiotherapy, and no local treatment using propensity-score weighting adjusting for patient demographics and pre-diagnosis health utilization costs. RESULTS: Among 30,360 included men [median age 59 years, 83% Charlson score 0], 15,854 underwent surgery, 5,265 radiotherapy, and 9,241 no local therapy in the year following diagnosis. In the 6-months preceding diagnosis, median overall and out-of-pocket health care costs were $2022 (interquartile range $3778) and $466 (interquartile range $781), respectively. Following propensity-score weighting, out-of-pocket costs were significantly lower for patients who received no active treatment (adjusted cost $1746, 95% confidence interval [CI] $1704-1788), followed by those who underwent surgery ($2983, 95% CI $2832-3142, P < 0.001), and those who underwent radiation ($3139, 95% CI $2939-3353, P < 0.001) in the 6-months following diagnosis. Similar patterns were seen with out-of-pocket costs 6 to 12 months following index, with overall costs, and with costs attributable to inpatient, outpatient medical, and outpatient pharmacy services. CONCLUSIONS: Among commercially insured men with incident prostate cancer, active treatment with surgery or radiotherapy was associated with significantly higher out-of-pocket costs versus those who received no treatment, with little difference observed between treatment approaches.

Out-of-pocket medical expenses compared across five years for patients with one of five common cancers in Australia.

BACKGROUND: Patient medical out-of-pocket expenses are thought to be rising worldwide yet data describing trends over time is scant. We evaluated trends of out-of-pocket expenses for patients in Australia with one of five major cancers in the first-year after diagnosis. METHODS: Participants from the QSKIN Sun and Health prospective cohort Study with a histologically confirmed breast, colorectal, lung, melanoma, or prostate cancer diagnosed between 2011 and 2015 were included (n = 1965). Medicare claims data on out-of-pocket expenses were analysed using a two-part model adjusted for year of diagnosis, health insurance status, age and education level. Fisher price and quantity indexes were also calculated to assess prices and volumes separately. RESULTS: On average, patients with cancer diagnosed in 2015 spent 70% more out-of-pocket on direct medical expenses than those diagnosed in 2011. Out-of-pocket expenses increased significantly for patients with breast cancer (mean AU$2513 in 2011 to AU$6802 in 2015). Out-of-pocket expenses were higher overall for individuals with private health insurance. For prostate cancer, expenses increased for those without private health insurance over time (mean AU$1586 in 2011 to AU$4748 in 2014) and remained stable for those with private health insurance (AU$4397 in 2011 to AU$5623 in 2015). There were progressive increases in prices and quantities of medical services for patients with melanoma, breast and lung cancer. For all cancers, prices increased for medicines and doctor attendances but fluctuated for other medical services. CONCLUSION: Out-of-pocket expenses for patients with cancer have increased substantially over time. Such increases were more pronounced for women with breast cancer and those without private health insurance. Increased out-of-pocket expenses arose from both higher prices and higher volumes of health services but differ by cancer type. Further efforts to monitor patient out-of-pocket costs and prevent health inequities are required.

The Association between Income Status and Treatment Selection for Prostate Cancer in a Universal Health Care System: A Population-Based Analysis.

PURPOSE: Treatment selection for localized prostate cancer is guided by risk stratification and patient preferences. While socioeconomic status (SES) disparities exist for access to care, less is known about the effect of SES on treatment decision-making. We sought to evaluate whether income status was associated with the treatment selected (radical prostatectomy [RP] vs radiation therapy [RT]) for nonmetastatic prostate cancer in a universal health care system. MATERIALS AND METHODS: All men from Manitoba, Canada who were diagnosed with nonmetastatic prostate cancer between 2005 and 2016 and subsequently treated with RP or RT were identified using a provincial cancer database. SES was defined as neighborhood income by postal code and divided into income quintiles (Q1-Q5, with Q1 the lowest quintile and Q5 the highest). Multivariable logistic regression nested models were used to compare whether SES was associated with treatment type received. RESULTS: We identified 3,966 individuals who were diagnosed with nonmetastatic prostate cancer and were treated with RP (2,354) or RT (1,612). After adjusting for demographic and clinicopathological characteristics, as income quintile increased, men were incrementally more likely to undergo RP than RT (range Q2 vs Q1: adjusted OR 1.40, 95% CI 1.01-1.93; Q5 vs Q1: adjusted OR 2.30, 95% CI 1.70-3.12). CONCLUSIONS: As income levels increased there was a stepwise incremental increase in the odds of receiving RP over RT for localized prostate cancer. These results may inform initiatives to better understand the values, priorities and barriers that patients experience when making treatment decisions in a universal health care system.

Clarifying the Trade-Offs of Risk-Stratified Screening for Prostate Cancer: A Cost-Effectiveness Study.

Cancer risk prediction is necessary for precision early detection, which matches screening intensity to risk. However, practical steps for translating risk predictions to risk-stratified screening policies are not well established. We used a validated population prostate-cancer model to simulate the outcomes of strategies that increase intensity for men at high risk and reduce intensity for men at low risk. We defined risk by the Prompt Prostate Genetic Score (PGS) (Stratify Genomics, San Diego, California), a germline genetic test. We first recalibrated the model to reflect the disease incidence observed within risk strata using data from a large prevention trial where some participants were tested with Prompt PGS. We then simulated risk-stratified strategies in a population with the same risk distribution as the trial and evaluated the cost-effectiveness of risk-stratified screening versus universal (risk-agnostic) screening. Prompt PGS risk-adapted screening was more cost-effective when universal screening was conservative. Risk-stratified strategies improved outcomes at a cost of less than $100,000 per quality-adjusted life year compared with biennial screening starting at age 55 years, but risk stratification was not cost-effective compared with biennial screening starting at age 45. Heterogeneity of risk and fraction of the population within each stratum were also important determinants of cost-effectiveness.

Mapping expanded prostate cancer index composite to EQ5D utilities to inform economic evaluations in prostate cancer: Secondary analysis of NRG/RTOG 0415.

PURPOSE: The Expanded Prostate Cancer Index Composite (EPIC) is the most commonly used patient reported outcome (PRO) tool in prostate cancer (PC) clinical trials, but health utilities associated with the different health states assessed with this tool are unknown, limiting our ability to perform cost-utility analyses. This study aimed to map EPIC tool to EuroQoL-5D-3L (EQ5D) to generate EQ5D health utilities. METHODS AND MATERIALS: This is a secondary analysis of a prospective, randomized non-inferiority clinical trial, conducted between 04/2006 and 12/2009 at cancer centers across the United States, Canada, and Switzerland. Eligible patients included men >18 years with a known diagnosis of low-risk PC. Patient HRQoL data were collected using EPIC and health utilities were obtained using EQ5D. Data were divided into an estimation sample (n = 765, 70%) and a validation sample (n = 327, 30%). The mapping algorithms that capture the relationship between the instruments were estimated using ordinary least squares (OLS), Tobit, and two-part models. Five-fold cross-validation (in-sample) was used to compare the predictive performance of the estimated models. Final models were selected based on root mean square error (RMSE). RESULTS: A total of 565 patients in the estimation sample had complete information on both EPIC and EQ5D questionnaires at baseline. Mean observed EQ5D utility was 0.90±0.13 (range: 0.28-1) with 55% of patients in full health. OLS models outperformed their counterpart Tobit and two-part models for all pre-determined model specifications. The best model fit was: "EQ5D utility = 0.248541 + 0.000748*(Urinary Function) + 0.001134*(Urinary Bother) + 0.000968*(Hormonal Function) + 0.004404*(Hormonal Bother)- 0.376487*(Zubrod) + 0.003562*(Urinary Function*Zubrod)"; RMSE was 0.10462. CONCLUSIONS: This is the first study to identify a comprehensive set of mapping algorithms to generate EQ5D utilities from EPIC domain/ sub-domain scores. The study results will help estimate quality-adjusted life-years in PC economic evaluations.

Comparison of 1-Year Health Care Costs and Use Associated With Open vs Robotic-Assisted Radical Prostatectomy.

Importance: With the current patterns of adoption and use of robotic surgery and improvement in the overall survival of patients with prostate cancer, it is important to evaluate the immediate and long-term cost implications of treatments for patients with prostate cancer. Objective: To compare health care costs and use 1 year after open radical prostatectomy (ORP) vs robotic-assisted radical prostatectomy (RARP). Design, Setting, and Participants: This retrospective cohort study used a US commercial claims database from January 1, 2013, to December 31, 2018. A total of 11 457 men aged 18 to 64 years who underwent inpatient radical prostatectomy for prostate cancer and were continuously enrolled with medical and prescription drug coverage from 180 days before to 365 days after inpatient prostatectomy were identified. An inverse probability of treatment weighting analysis was performed to examine the differences in costs and use of health care services by surgical modality. Data analysis was conducted from September 2019 to July 2020. Exposures: Type of surgical procedure: ORP vs RARP. Main Outcomes and Measures: Three outcomes within 1 year after the inpatient prostatectomy were investigated: (1) total health care costs, including reimbursement paid by insurers and out of pocket by patients; (2) health care use, including inpatient readmission, emergency department, hospital outpatient, and office visits; and (3) estimated days missed from work due to health care use. Results: Of the 11 457 patients who underwent inpatient prostatectomy, 1604 (14.0%) had ORP and 9853 (86.0%) had RARP and most patients (8467 [73.9%]) were aged 55 to 64 years. Compared with patients who underwent ORP, those who received RARP had a higher cost at the index hospitalization (mean difference, $2367; 95% CI, $1821-$2914; P < .001), but similar total cumulative costs were observed within 180 days (mean difference, $397; 95% CI, -$582 to $1375; P = .43) and 1 year after discharge (-$383; 95% CI, -$1802 to $1037; P = .60). One-year postdischarge health care use was significantly lower in the RARP compared with ORP group for mean numbers of emergency department visits (-0.09 visits; 95% CI, -0.11 to -0.07 visits; P < .001) and hospital outpatient visits (-1.5 visits; -1.63 to -1.36 visits; P < .001). The reduction in use of health care services among patients who underwent RARP translated into additional savings of $2929 (95% CI, $1600-$4257; P < .001) and approximately 1.69 fewer days (95% CI, 1.49-1.89 days; P < .001) missed from work for health care visits. Conclusions and Relevance: Total cumulative cost in this study was similar between ORP and RARP 1 year post discharge; this finding suggests that lower postdischarge health care use after RARP may offset the higher costs during the index hospitalization.

The cost-effectiveness of prostate cancer screening using the Stockholm3 test.

OBJECTIVES: The European Randomized Study of Screening for Prostate Cancer found that prostate-specific antigen (PSA) screening reduced prostate cancer mortality, however the costs and harms from screening may outweigh any mortality reduction. Compared with screening using the PSA test alone, using the Stockholm3 Model (S3M) as a reflex test for PSA ≥ 1 ng/mL has the same sensitivity for Gleason score ≥ 7 cancers while the relative positive fractions for Gleason score 6 cancers and no cancer were 0.83 and 0.56, respectively. The cost-effectiveness of the S3M test has not previously been assessed. METHODS: We undertook a cost-effectiveness analysis from a lifetime societal perspective. Using a microsimulation model, we simulated for: (i) no prostate cancer screening; (ii) screening using the PSA test; and (iii) screening using the S3M test as a reflex test for PSA values ≥ 1, 1.5 and 2 ng/mL. Screening strategies included quadrennial re-testing for ages 55-69 years performed by a general practitioner. Discounted costs, quality-adjusted life-years (QALYs) and incremental cost-effectiveness ratios (ICERs) were calculated. RESULTS: Comparing S3M with a reflex threshold of 2 ng/mL with screening using the PSA test, S3M had increased effectiveness, reduced lifetime biopsies by 30%, and increased societal costs by 0.4%. Relative to the PSA test, the S3M reflex thresholds of 1, 1.5 and 2 ng/mL had ICERs of 170,000, 60,000 and 6,000 EUR/QALY, respectively. The S3M test was more cost-effective at higher biopsy costs. CONCLUSIONS: Prostate cancer screening using the S3M test for men with an initial PSA ≥ 2.0 ng/mL was cost-effective compared with screening using the PSA test alone.

Association between Site-of-Care and the Cost and Modality of Radiotherapy for Prostate Cancer: Analysis of Medicare Beneficiaries from 2015 to 2017.

Among 84,447 radiotherapy (RT) courses for Medicare beneficiaries age ≥ 65 with prostate cancer treated with external beam RT (EBRT), brachytherapy, or both, 42,608 (51%) were delivered in hospital-affiliated and 41,695 (49%) in freestanding facilities. Freestanding centers were less likely to use EBRT + brachytherapy than EBRT (OR 0.84 [95%CI 0.84-0.84]; p < .001). Treatment was more costly in freestanding centers (mean difference $2,597 [95%CI $2,475-2,719]; p < .001). Adjusting for modality and fractionation, RT in hospital-affiliated centers was more costly (mean difference $773 [95%CI $693-853]; p < .001). Freestanding centers utilized more expensive RT delivery, but factors unrelated to RT modality or fractionation rendered RT more costly at hospital-affiliated centers.

Access denied: The relationship between patient insurance status and access to high-volume hospitals.

BACKGROUND: Underinsured patients face significant barriers in accessing high-quality care. Evidence of whether access to high-volume surgical care is mediated by disparities in health insurance coverage remains wanting. METHODS: The authors used the National Cancer Data Base to identify all adult patients who had a confirmed diagnosis of breast, prostate, lung, or colorectal cancer during 2004 through 2016. The odds of receiving surgical care at a high-volume hospital were estimated according to the type of insurance using multivariable logistic regression analyses for each malignancy. Then, the interactions between study period and insurance status were assessed. RESULTS: In total, 1,279,738 patients were included in the study. Of these, patients with breast cancer who were insured by Medicare (odds ratio [OR], 0.75; P < .001), Medicaid (OR, 0.55; P < .001), or uninsured (OR, 0.50; P < .001); patients with prostate cancer who were insured by Medicare (OR, 0.87; P = .003), Medicaid (OR, 0.58; P = .001), or uninsured (OR, 0.36; P < .001); and patients with lung cancer who were insured by Medicare (OR, 0.84; P = .020), Medicaid (OR, 0.74; P = .001), or uninsured (OR, 0.48; P < .001) were less likely to receive surgical care at high-volume hospitals compared with patients who had private insurance. For patients with colorectal cancer, the effect of insurance differed by study period, and improved since 2011. For those on Medicaid, the odds of receiving care at a high-volume hospital were 0.51 during 2004 through 2007 and 0.99 during 2014 through 2016 (P for interaction = .001); for uninsured patients, the odds were 0.45 during 2004 through 2007 and 1.19 during 2014 through 2016 (P for interaction < .001) compared with patients who had private insurance. CONCLUSIONS: Uninsured, Medicare-insured, and Medicaid-insured patients are less likely to receive surgical care at high-volume hospitals. For uninsured and Medicaid-insured patients with colorectal cancer, the odds of receiving care at high-volume hospitals have improved since implementation of the Patient Protection and Affordable Care Act of 2010.