Home-based versus supervised group exercise in men with prostate cancer on androgen deprivation therapy: A randomized controlled trial and economic analysis.

INTRODUCTION: Differences between health outcomes, participation/adoption, and cost-effectiveness of home-based (HOME) interventions and supervised group-based training (GROUP) in men with prostate cancer (PC) on androgen deprivation therapy (ADT) are currently unknown. The objective of this study was to assess the clinical efficacy, adherence, and cost-effectiveness of HOME versus GROUP in men on ADT for PC. MATERIALS AND METHODS: This was a multicentre, 2-arm non-inferiority randomized controlled trial and companion cost-effectiveness analysis. Men with PC on ADT were recruited from August 2016 to March 2020 from four Canadian centres and randomized 1:1 to GROUP or HOME. All study participants engaged in aerobic and resistance training four to five days weekly for six months. Fatigue [Functional Assessment of Cancer Therapy-Fatigue (FACT-F)] and functional endurance [6-min walk test (6MWT)] at six months were the co-primary outcomes. Secondary outcomes included quality of life, physical fitness, body composition, blood markers, sedentary behaviour, and adherence. Between-group differences in primary outcomes were compared to margins of 3 points for FACT-F and 40 m for 6MWT using a Bayesian analysis of covariance (ANCOVA). Secondary outcomes were compared with ANCOVA, Costs included Ministry of Health costs, program costs, patient out-of-pocket, and time costs. TRIAL REGISTRATION: #NCT02834416. RESULTS: Thirty-eight participants (mean [standard deviation (SD)] age, 70 [9.0] years) were enrolled (GROUP n = 20; HOME n = 18). There was an 89.8% probability that HOME was non-inferior to GROUP for both fatigue and functional endurance and a 9.5% probability that HOME reduced fatigue compared to GROUP (mean [SD] change, 12.1 [8.1] vs 3.6 [6.1]; p = 0.040) at six months. Adherence was similar among study arms. HOME was cost-saving (mean difference: -$4122) relative to GROUP. DISCUSSION: A HOME exercise intervention appears non-inferior to GROUP for fatigue and functional endurance and requires fewer resources to implement. HOME appears to ameliorate fatigue more than GROUP, but has comparable effects on other clinically relevant outcomes. Although limited by sample size and attrition, these results support further assessment of home-based programs.

Developing the Breast Utility Instrument, a preference-based instrument to measure health-related quality of life in women with breast cancer: Confirmatory factor analysis of the EORTC QLQ-C30 and BR45 to establish dimensions.

OBJECTIVES: Breast cancer (BrC) and its treatments impair health-related quality of life (HRQoL). Utility is a measure of HRQoL that includes preferences for health outcomes, used in treatment decision-making. Generic preference-based instruments lack BrC-specific concerns, indicating the need for a BrC-specific preference-based instrument. Our objective was to determine dimensions of the European Organisation for Research and Treatment of Cancer (EORTC) general cancer (QLQ-C30) and breast module (BR45) instruments, the first step in our development of the novel Breast Utility Instrument (BUI). METHODS: Patients (n = 408) attending outpatient BrC clinics at an urban cancer centre, and representing a spectrum of BrC health states, completed the QLQ-C30 and BR45. We performed confirmatory factor analysis of the combined QLQ-C30 and BR45 using mean-and variance-adjusted unweighted least squares estimation. The hypothesized factor model was based on clinical relevance, item distributions, missing data, item-importance, and internal reliability of dimensions. Models were evaluated based on global and item fit, local areas of strain, and likelihood ratio tests of nested models. RESULTS: Our final model had 10 dimensions: physical and role functioning, emotional functioning, social functioning, body image, pain, fatigue, systemic therapy side effects, sexual functioning and enjoyment, arm and breast symptoms, and endocrine therapy symptoms. Good overall model fit was achieved: χ2/df: 1.45, Tucker-Lewis index: 0.946, comparative fit index: 0.951, standardized root-mean-square residual: 0.069, root-mean-square error of approximation: 0.033 (0.030-0.037). All items had salient factor loadings (λ>0.4, p<0.001). CONCLUSIONS: We identified important BrC HRQoL dimensions to develop the BUI, a BrC-specific preference-based instrument.

Health care costs associated with chronic hepatitis C virus infection in Ontario, Canada: a retrospective cohort study.

BACKGROUND: High-quality estimates of health care costs are required to understand the burden of illness and to inform economic models. We estimated the costs associated with hepatitis C virus (HCV) infection from the public payer perspective in Ontario, Canada. METHODS: In this population-based retrospective cohort study, we identified patients aged 18-105 years diagnosed with chronic HCV infection in Ontario from 2003 to 2014 using linked administrative data. We allocated the time from diagnosis until death or the end of follow-up (Dec. 31, 2016) to 9 mutually exclusive health states using validated algorithms: no cirrhosis, no cirrhosis (RNA negative) (i.e., cured HCV infection), compensated cirrhosis, decompensated cirrhosis, hepatocellular carcinoma, both decompensated cirrhosis and hepatocellular carcinoma, liver transplantation, terminal (liver-related) and terminal (non-liver-related). We estimated direct medical costs (in 2018 Canadian dollars) per 30 days per health state and used regression models to identify predictors of the costs. RESULTS: We identified 48 239 patients with chronic hepatitis C, of whom 30 763 (63.8%) were men and 35 891 (74.4%) were aged 30-59 years at diagnosis. The mean 30-day costs were $798 (95% confidence interval [CI] $780-$816) (n = 43 568) for no cirrhosis, $661 (95% CI $630-$692) (n = 6422) for no cirrhosis (RNA negative), $1487 (95% CI $1375-$1599) (n = 4970) for compensated cirrhosis, $3659 (95% CI $3279-$4039) (n = 3151) for decompensated cirrhosis, $4238 (95% CI $3480-$4996) (n = 550) for hepatocellular carcinoma, $8753 (95% CI $7130-$10 377) (n = 485) for both decompensated cirrhosis and hepatocellular carcinoma, $4539 (95% CI $3746-$5333) (n = 372) for liver transplantation, $11 202 (95% CI $10 645-$11 760) (n = 3201) for terminal (liver-related) and $8801 (95% CI $8331-$9271) (n = 5278) for terminal (non-liver-related) health states. Comorbidity was the most significant predictor of total costs for all health states. INTERPRETATION: Our findings suggest that the financial burden of HCV infection is substantially higher than previously estimated in Canada. Our comprehensive, up-to-date cost estimates for clinically defined health states of HCV infection should be useful for future economic evaluations related to this disorder.

Impact of direct-acting antiviral regimens on mortality and morbidity outcomes in patients with chronic hepatitis c: Systematic review and meta-analysis.

The long-term effects of direct-acting antiviral therapies (DAAs) for chronic hepatitis C (CHC) remain uncertain. The objective of this systematic review and meta-analysis was to assess the impact of DAAs on CHC progression and mortality. We searched Ovid MEDLINE, Ovid EMBASE and PubMed databases (January 2011 to March 2020) for studies that compared the efficacy of DAAs to a non-DAA control in patients with CHC. Main outcomes were the adjusted hazard ratios (HRs) for mortality, liver decompensation, HCC occurrence and recurrence. Pooled estimates of HRs were determined using random-effects meta-analyses with inverse variance weighting, with sensitivity analyses and meta-regression to explore the effects of clinical factors. We identified 39 articles for the primary analysis. Compared with unexposed individuals, patients treated with DAA had a reduced risk of death (HR; CI = 0.44; 0.38-0.52), decompensation (HR; CI = 0.54; 0.38- 0.76) and HCC occurrence (HR; CI = 0.72; 0.61- 0.86). The protective effect of DAA on HCC recurrence was less clear (HR; CI = 0.72; 0.44-1.16). Sustained virologic response (SVR) attainment was a significant predictor of reduced mortality (HR; CI = 0.33; 0.23-0.46), decompensation (HR; CI = 0.11; 0.05-0.24), HCC occurrence (HR; CI = 0.31; 0.27-0.37) and HCC recurrence (HR; CI = 0.32; 0.20-0.51). Meta-regression showed no evidence of effect modification by patient age, sex, presence of cirrhosis or length of follow-up. In conclusion, our findings show protective effects of DAA treatment and DAA-related SVR on CHC progression and mortality.

Comparing Childhood Cancer Care Costs in Two Canadian Provinces.

BACKGROUND: Cancer in children presents unique issues for diagnosis, treatment and survivorship care. Phase-specific comparative cost estimates are important for informing healthcare planning. OBJECTIVE: The aim of this paper is to compare direct medical costs of childhood cancer by phase of care in British Columbia (BC) and Ontario (ON). METHODS: For cancer patients diagnosed at <15 years of age and propensity-score-matched non-cancer controls, we applied standard costing methodology using population-based healthcare administrative data to estimate and compare phase-based costs by province. RESULTS: Phase-specific cancer-attributable costs were 2%-39% higher for ON than for BC. Leukemia pre-diagnosis costs and annual lymphoma continuing care costs were >50% higher in ON. Phase-specific in-patient hospital costs (the major cost category) represented 63%-82% of ON costs, versus 43%-73% of BC costs. Phase-specific diagnostic tests and procedures accounted for 1.0%-3.4% of ON costs and 2.8%-13.0% of BC costs. CONCLUSION: There are substantial cost differences between these two Canadian provinces, BC and ON, possibly identifying opportunities for healthcare planning improvement.

A Systematic Review and Meta-Analysis of Health Utilities in Patients With Chronic Hepatitis C.

BACKGROUND: Chronic hepatitis C (CHC) is among the most burdensome infectious diseases in the world. Health utilities are a valuable tool for quantifying this burden and conducting cost-utility analysis. OBJECTIVE: Our study summarizes the available data on utilities in CHC patients. This will facilitate analyses of CHC treatment and elimination strategies. METHODS: We searched MEDLINE, Embase, and the Cochrane Library for studies measuring utilities in CHC patients. Utilities were pooled by health state and utility instrument using meta-analysis. A further analysis used meta-regression to adjust for the effects of clinical status and methodological variation. RESULTS: Fifty-one clinical studies comprising 15 053 patients were included. Based on the meta-regression, patients' utilities were lower for more severe health states (predicted mean EuroQol-5D-3L utility for mild/moderate CHC: 0.751; compensated cirrhosis: 0.671; hepatocellular carcinoma: 0.662; decompensated cirrhosis: 0.602). Patients receiving interferon-based treatment had lower utilities than those on interferon-free treatment (0.647 vs 0.733). Patients who achieved sustained virologic response (0.786) had higher utilities than those with mild to moderate CHC. Utilities were substantially higher for patients in experimental studies compared to observational studies (coefficient: +0.074, P < .05). The time tradeoff instrument was associated with the highest utilities, and the Health Utilities Index 3 was associated with the lowest utilities. CONCLUSION: Chronic hepatitis C is associated with a significant impairment in global health status, as measured by health utility instruments. Impairment is greater in advanced disease. Experimental study designs yield higher utilities-an effect not previously documented. Curative therapy can alleviate the burden of CHC, although further research is needed in certain areas, such as the long-term impacts of treatment on utilities.

Patterns of Care and Costs for Older Patients With Colorectal Cancer at the End of Life: Descriptive Study of the United States and Canada.

PURPOSE: End-of-life (EOL) cancer care is costly, with challenges regarding intensity and place of care. We described EOL care and costs for patients with colorectal cancer (CRC) in the United States and the province of Ontario, Canada, to inform better care delivery. METHODS: Patients diagnosed with CRC from 2007 to 2013, who died of any cancer from 2007 to 2013 at age ≥ 66 years, were selected from the US SEER cancer registries linked to Medicare claims (n = 16,565) and the Ontario Cancer Registry linked to administrative health data (n = 6,587). We estimated total and resource-specific costs (2015 US dollars) from public payer perspectives over the last 360 days of life by 30-day periods, by stage at diagnosis (0-II, III, IV). RESULTS: In all months, especially 30 days before death, higher percentages of SEER-Medicare than Ontario patients received chemotherapy (15.7% v 8.0%), and imaging tests (39.4% v 31.1%). A higher percentage of Ontario patients were hospitalized (62.5% v 51.0%), but 43.2% of hospitalized SEER-Medicare patients had intensive care unit (ICU) admissions versus 17.9% of hospitalized Ontario patients. Cost differences between cohorts were greater for patients with stage IV disease. In the last 30 days, mean total costs for patients with stage IV disease were $15,881 (SEER-Medicare) and $12,034 (Ontario) versus $19,354 and $17,312 for stage 0-II. Hospitalization costs were higher for SEER-Medicare patients ($11,180 v $9,434), with lower daily hospital costs in Ontario ($1,067 v $2,004). CONCLUSION: These findings suggest opportunities for reducing chemotherapy and ICU use in the United States and hospitalizations in Ontario.

New Insights into the Epidemiology of Prostate Cancer in Ontario.

The epidemiology of prostate cancer (PC) continues to change. We evaluated the changes in incidence, in average age at diagnosis, and in survival from 1992 to 2015 in Ontario. We compared the cumulative incidence of PC-specific and non PC-specific mortality using two algorithms for cause of death: Method 1 assigned deaths from "other cancers" to non PC-specific causes, and Method 2 assigned these cases to PC-specific mortality. There were 188,714 cases diagnosed with PC between 1992 and 2015 in Ontario. The average age at diagnosis declined from 1992 to 2008 by 0.26 year (3.1 months) annually (p < 0.001) and increased by 0.15 year (1.8 months) thereafter (p > 0.05). Between 2010 and 2015, the proportion of patients diagnosed at stage IV increased, and the proportion diagnosed at stage I decreased (p-values for trends <0.001). Overall survival significantly improved over the years. The cumulative incidence of PC-specific mortality at 5 and 10 years was 6.8 and 9.8% using Method 1, and 10.2 and 16.8% using Method 2. We observed trends toward older age and more advanced stage at PC diagnosis in Ontario. Further studies are needed to validate algorithms for estimating PC-specific mortality from administrative databases.

Resource Utilization and Costs in Adolescents Treated for Cancer in Pediatric vs Adult Institutions.

BACKGROUND: Adolescents with cancer can receive care in pediatric or adult institutions. Survival often differs by locus, but little is known about relative health care utilization and costs. We estimated these in a population-based cohort of adolescents. METHODS: All Ontario adolescents (15.0-17.9 years) diagnosed with cancer between 1995 and 2010 were identified from provincial cancer registries. We compared health care resource utilization (hospitalizations, emergency department visits, same-day surgeries, outpatient chemotherapy, radiation, diagnostic/laboratory tests, physician services, home care) and costs (2012 Canadian dollars) during four discrete care phases-prediagnosis (60 days), initial (360 days), continuing (variable), and terminal (360 days)-between adolescents treated in pediatric vs adult institutions, for the whole cohort and within seven diagnostic categories. All statistical tests were two-sided. RESULTS: Of 1356 eligible adolescents, 691 and 665 were treated in adult and pediatric institutions, respectively. Hospitalization rates were higher in pediatric institutions during prediagnosis (14.9% vs 6.9%, P < .001), initial (95.1% vs 73.3%, P < .001), and continuing phases (43.2% vs 34.4%, P = .002), but similar (96.1% vs 96.3%, P = .93) during the terminal phase. Average length of stay was higher at pediatric institutions within most diagnoses and phases. For all diagnoses, median initial phase costs were higher in pediatric than adult institutions (eg, leukemia: $153 926 vs $102 418 per 360 days, P < .001; lymphoma: $65 025 vs $19 846, P < .001, respectively). CONCLUSIONS: The costs of caring for adolescents with the same malignancy are considerably higher in pediatric than adult institutions during most phases. Resource utilization, particularly hospitalization, drives much of the cost difference, making these data applicable to other jurisdictions.

The Bladder Utility Symptom Scale: A Novel Patient Reported Outcome Instrument for Bladder Cancer.

PURPOSE: Health related quality of life is important in bladder cancer care and clinical decision making because patients must choose between diverse treatment modalities with unique morbidities. A patient reported outcome measure of overall health related quality of life for bladder cancer regardless of disease severity and treatment could benefit clinical care and research. MATERIALS AND METHODS: Prospective questionnaire development was completed in 3 parts. In study 1 the BUSS (Bladder Utility Symptom Scale) questions were created by experts using a conceptual framework of bladder cancer health related quality of life generated through patient focus groups. In study 2 patients with bladder cancer, including those treated with surgery, radiation and chemotherapy, completed the BUSS and 5 health related quality of life instruments at baseline and 4 weeks to assess validity and test-retest reliability. External validity was then explored in study 3 by administering the BUSS to 578 patients online and at clinics. Construct validity was assessed by whole and subscale Spearman rank correlations, and by comparisons of BUSS scores across known groups. RESULTS: The BUSS had high whole scale correlation with the FACT-Bl (Functional Assessment of Cancer Therapy-Bladder) (rs = 0.82, p <0.0001) and substantial to high subscale correlations with the EQ-5D™-3L (EuroQol 5 Dimensions Questionnaire-3 Levels) (eg emotional well-being rs = 0.69, p <0.0001). BUSS scores were lower in patients with comorbidity and advanced disease. Cognitive debriefing and the 94% completion rate suggested good comprehensibility. There was excellent test-retest reliability (ICC = 0.79). Limitations included an extended time from diagnosis in many patients. CONCLUSIONS: The BUSS is a reliable and valid patient reported outcome instrument for health related quality of life in all patients with bladder cancer regardless of the treatment received or the stage of disease.

Benefits and harms of prostate cancer screening - predictions of the ONCOTYROL prostate cancer outcome and policy model.

BACKGROUND: A recent recalibration of the ONCOTYROL Prostate Cancer Outcome and Policy (PCOP) Model, assuming that latent prostate cancer (PCa) detectable at autopsy might be detectable by screening as well, resulted in considerable worsening of the benefit-harm balance of screening. In this study, we used the recalibrated model to assess the effects of familial risk, quality of life (QoL) preferences, age, and active surveillance. METHODS: Men with average and elevated familial PCa risk were simulated in separate models, differing in familial risk parameters. Familial risk was assumed to affect PCa onset and progression simultaneously in the base-case, and separately in scenario analyses. Evaluated screening strategies included one-time screening at different ages, and screening at different intervals and age ranges. Optimal screening strategies were identified depending on age and individual QoL preferences. Strategies were additionally evaluated with active surveillance by biennial re-biopsy delaying treatment of localized cancer until grade progression to Gleason score ≥ 7. RESULTS: Screening men with average PCa risk reduced quality-adjusted life expectancy (QALE) even under favorable assumptions. Men with elevated familial risk, depending on age and disutilities, gained QALE. While for men with familial risk aged 55 and 60 years annual screening to age 69 was the optimal strategy over most disutility ranges, no screening was the preferred option for 65 year-old men with average and above disutilities. Active surveillance greatly reduced overtreatment, but QALE gains by averted adverse events were opposed by losses due to delayed treatment and additional biopsies. The effect of active surveillance on the benefit-harm balance of screening differed between populations, as net losses and gains in QALE predicted for screening without active surveillance in men with average and familial PCa risk, respectively, were both reduced. CONCLUSIONS: Assumptions about PCa risk and screen-detectable prevalence significantly affect the benefit-harm balance of screening. Based on the assumptions of our model, PCa screening should focus on candidates with familial predisposition with consideration of individual QoL preferences and age. Active surveillance may require treatment initiation before Gleason score progression to 7. Alternative active surveillance strategies should be evaluated in further modeling studies.

Costs of cancer care in children and adolescents in Ontario, Canada.

BACKGROUND: Cancer in children and adolescents presents unique issues regarding treatment and survivorship, but few studies have measured economic burden. We estimated health care costs by phase of cancer care, from the public payer perspective, in population-based cohorts. METHODS: Children newly diagnosed at ages 0 days-14.9 years and adolescents newly diagnosed at 15-19.9 years, from January 1, 1995 to June 30, 2010, were identified from Ontario cancer registries, and each matched to three noncancer controls. Data were linked with administrative records describing resource use for cancer and other health care. Total and net (patients minus controls) resource-specific costs ($CAD2012) were estimated using generalized estimating equations for four phases of care: prediagnosis (60 days), initial (360 days), continuing (variable), final (360 days). RESULTS: Mean ages at diagnosis were 6 years for children (N = 4,606) and 17 years for adolescents (N = 2,443). Mean net prediagnosis phase 60-day costs were $6,177 for children and $1,018 for adolescents. Costs for initial, continuing, and final phases were $138,161, $15,756, and $316,303 per 360 days for children, and $62,919, $7,071, and $242,008 for adolescents. The highest initial phase costs were for leukemia patients ($156,225 per 360 days for children and $171,275 for adolescents). The final phase was the most costly ($316,303 per 360 days for children and $242,008 for adolescents). CONCLUSIONS: Costs for children with cancer are much higher than for adolescents and much higher than those reported in adults. Comprehensive population-based long-term estimates of cancer costs are useful for health services planning and cost-effectiveness analysis.

Estimating the Cost of Cancer Care in British Columbia and Ontario: A Canadian Inter-Provincial Comparison.

BACKGROUND: Costing studies are useful to measure the economic burden of cancer. Comparing costs between healthcare systems can inform evaluation, development or modification of cancer care policies. OBJECTIVES: To estimate and compare cancer costs in British Columbia and Ontario from the payers' perspectives. METHODS: Using linked cancer registry and administrative data, and standardized costing methodology and analyses, we estimated costs for 21 cancer sites by phase of care to determine potential differences between provinces. RESULTS: Overall, costs were higher in Ontario. Costs were highest in the initial post-diagnosis and pre-death phases and lowest in the pre-diagnosis and continuing phases, and generally higher for brain cancer and multiple myeloma, and lower for melanoma. Hospitalization was the major cost category. Costs for physician services and diagnostic tests differed the most between provinces. CONCLUSIONS: The standardization of data and costing methodology is challenging, but it enables interprovincial and international comparative costing analyses.

Costs for Childhood and Adolescent Cancer, 90 Days Prediagnosis and 1 Year Postdiagnosis: A Population-Based Study in Ontario, Canada.

BACKGROUND: Childhood and adolescent cancers are uncommon, but they have important economic and health impacts on patients, families, and health care systems. Few studies have measured the economic burden of care for childhood and adolescent cancers. OBJECTIVES: To estimate costs of cancer care in population-based cohorts of children and adolescents from the public payer perspective. METHODS: We identified patients with cancer, aged 91 days to 19 years, diagnosed from 1995 to 2009 using cancer registry data, and matched each to three noncancer controls. Using linked administrative health care records, we estimated total and net resource-specific costs (in 2012 Canadian dollars) during 90 days prediagnosis and 1 year postdiagnosis. RESULTS: Children (≤14 years old) numbered 4,396: 36% had leukemia, 21% central nervous system tumors, 10% lymphoma, and 33% other cancers. Adolescents (15-19 years old) numbered 2,329: 28.9% had lymphoma. Bone and soft tissue sarcoma, germ cell tumor, and thyroid carcinoma each comprised 12% to 13%. Mean net prediagnosis costs were $5,810 and $1,127 and mean net postdiagnosis costs were $136,413 and $62,326 for children and adolescents, respectively; the highest were for leukemia ($157,764 for children and $172,034 for adolescents). In both cohorts, costs were much higher for patients who died within 1 year of diagnosis. Inpatient hospitalization represented 69% to 74% of postdiagnosis costs. CONCLUSIONS: Treating children with cancer is costly, more costly than treating adolescents or adults. Substantial survival gains in children mean that treatment may still be very cost-effective. Comprehensive age-specific population-based cost estimates are essential to reliably assess the cost-effectiveness of cancer care for children and adolescents, and measure health system performance.

Phase-specific and lifetime costs of cancer care in Ontario, Canada.

BACKGROUND: Cancer is a major public health issue and represents a significant economic burden to health care systems worldwide. The objective of this analysis was to estimate phase-specific, 5-year and lifetime net costs for the 21 most prevalent cancer sites, and remaining tumour sites combined, in Ontario, Canada. METHODS: We selected all adult patients diagnosed with a primary cancer between 1997 and 2007, with valid ICD-O site and histology codes, and who survived 30 days or more after diagnosis, from the Ontario Cancer Registry (N = 394,092). Patients were linked to treatment data from Cancer Care Ontario and administrative health care databases at the Institute for Clinical and Evaluative Sciences. Net costs (i.e., cost difference between patients and matched non-cancer control subjects) were estimated by phase of care and sex, and used to estimate 5-year and lifetime costs. RESULTS: Mean net costs of care (2009 CAD) were highest in the initial (6 months post-diagnosis) and terminal (12 months pre-death) phases, and lowest in the (3 months) pre-diagnosis and continuing phases of care. Phase-specific net costs were generally lowest for melanoma and highest for brain cancer. Mean 5-year net costs varied from less than $25,000 for melanoma, thyroid and testicular cancers to more than $60,000 for multiple myeloma and leukemia. Lifetime costs ranged from less than $55,000 for lung and liver cancers to over $110,000 for leukemia, multiple myeloma, lymphoma and breast cancer. CONCLUSIONS: Costs of cancer care are substantial and vary by cancer site, phase of care and time horizon analyzed. These cost estimates are valuable to decision makers to understand the economic burden of cancer care and may be useful inputs to researchers undertaking cancer-related economic evaluations.

An international comparison of costs of end-of-life care for advanced lung cancer patients using health administrative data.

BACKGROUND: Patterns of end-of-life cancer care differ in Canada and the United States; yet little is known about differences in service-specific and overall costs. AIM: The aim of this study was to compare end-of-life costs in Ontario, Canada, and the United States, using administrative health data. DESIGN: Advanced-stage nonsmall cell lung cancer patients who died from cancer at age ⩾ 65.5 years in 2001-2005 were selected from the US Surveillance, Epidemiology, and End Results-Medicare database (N = 16,858) and the Ontario Cancer Registry (N = 8643). We estimated total and service-specific costs (2009 US dollars) in each of the last 6 months of life from the public payer perspectives for short-term and long-term survivors (lived < 180 and ⩾ 180 days post-diagnosis, respectively). Services were defined for comparisons between systems. RESULTS: Mean monthly costs increased as death approached, were higher in short-term than long-term survivors, and were generally higher in the United States than in Ontario until the month before death, when they were similar (long-term survivors: US$10,464 and US$10,094 (p = 0.53), short-term survivors US$14,455 and US$12,836 (p = 0.11), in Surveillance, Epidemiology, and End Results-Medicare and Ontario, respectively). Costs for Medicare hospice and Ontario's palliative care components were similar and increased closer to death. Inpatient hospitalization was the main cost driver with similar costs in both cohorts, despite lower utilization in the United States. The compositions of many services and costs differed. CONCLUSION: Costs for nonsmall cell lung cancer patients were slightly higher in the United States than Ontario until 1 month before death. Administrative data allow exploration and international comparisons of reimbursement policies, health-care delivery, and costs at the end of life.

The ONCOTYROL Prostate Cancer Outcome and Policy Model: Effect of Prevalence Assumptions on the Benefit-Harm Balance of Screening.

BACKGROUND: The ONCOTYROL Prostate Cancer Outcome and Policy (PCOP) model is a state-transition microsimulation model evaluating the benefits and harms of prostate cancer (PCa) screening. The natural history and detection component of the original model was based on the 2003 version of the Erasmus MIcrosimulation SCreening ANalysis (MISCAN) model, which was not calibrated to prevalence data. Compared with data from autopsy studies, prevalence of latent PCa assumed by the original model is low, which may bias the model toward screening. Our objective was to recalibrate the original model to match prevalence data from autopsy studies as well and compare benefit-harm predictions of the 2 model versions differing in prevalence. METHODS: For recalibration, we reprogrammed the natural history and detection component of the PCOP model as a deterministic Markov state-transition cohort model in the statistical software package R. All parameters were implemented as variables or time-dependent functions and calibrated simultaneously in a single run. Observed data used as calibration targets included data from autopsy studies, cancer registries, and the European Randomized Study of Screening for Prostate Cancer. Compared models were identical except for calibrated parameters. RESULTS: We calibrated 46 parameters. Prevalence from autopsy studies could not be fitted using the original parameter set. Additional parameters, allowing for interruption of disease progression and age-dependent screening sensitivities, were needed. Recalibration to higher prevalence demonstrated a considerable increase of overdiagnosis and decline of screening sensitivity, which significantly worsened the benefit-harm balance of screening. CONCLUSIONS: Our calibration suggests that not all cancers are at risk of progression, and screening sensitivity may be lower at older ages. PCa screening models that use calibration to simulate disease progression in the unobservable latent phase are highly sensitive to prevalence assumptions.

Real world costs and cost-effectiveness of Rituximab for diffuse large B-cell lymphoma patients: a population-based analysis.

BACKGROUND: Current treatment of diffuse-large-B-cell lymphoma (DLBCL) includes rituximab, an expensive drug, combined with cyclophosphamide, doxorubicin, vincristine, and prednisone (CHOP) chemotherapy. Economic models have predicted rituximab plus CHOP (RCHOP) to be a cost-effective alternative to CHOP alone as first-line treatment of DLBCL, but it remains unclear what its real-world costs and cost-effectiveness are in routine clinical practice. METHODS: We performed a population-based retrospective cohort study from 1997 to 2007, using linked administrative databases in Ontario, Canada, to evaluate the costs and cost-effectiveness of RCHOP compared to CHOP alone. A historical control cohort (n = 1,099) with DLBCL who received CHOP before rituximab approval was hard-matched on age and treatment intensity and then propensity-score matched on sex, comorbidity, and histology to 1,099 RCHOP patients. All costs and outcomes were adjusted for censoring using the inverse probability weighting method. The main outcome measure was incremental cost per life-year gained (LYG). RESULTS: Rituximab was associated with a life expectancy increase of 3.2 months over 5 years at an additional cost of $16,298, corresponding to an incremental cost-effectiveness ratio of $61,984 (95% CI $34,087-$135,890) per LYG. The probability of being cost-effective was 90% if the willingness-to-pay threshold was $100,000/LYG. The cost-effectiveness ratio was most favourable for patients less than 60 years old ($31,800/LYG) but increased to $80,600/LYG for patients 60-79 years old and $110,100/LYG for patients ≥ 80 years old. We found that post-market survival benefits of rituximab are similar to or lower than those reported in clinical trials, while the costs, incremental costs and cost-effectiveness ratios are higher than in published economic models and differ by age. CONCLUSIONS: Our results showed that the addition of rituximab to standard CHOP chemotherapy was associated with improvement in survival but at a higher cost, and was potentially cost-effective by standard thresholds for patients <60 years old. However, cost-effectiveness decreased significantly with age, suggesting that rituximab may be not as economically attractive in the very elderly on average. This has important clinical implications regarding age-related use and funding decisions on this drug.

A Review and Meta-analysis of Colorectal Cancer Utilities.

OBJECTIVE: To perform a systematic review of utility weights for colorectal cancer (CRC) health states reported in the scientific literature and to determine the effects of disease factors, patient characteristics, and utility methods on utility values. METHODS: We identified 26 articles written in English and published from January 1980 to January 2013, providing 351 unique utilities for CRC health states elicited from 6546 unique respondents. The CRC utility data were analyzed using linear mixed-effects models with CRC type, stage, time to or from initial care, utility measurement instrument, and administration method as independent variables. RESULTS: In the base case model, the estimated utility for a patient with stage I to III CRC more than 1 year after surgery, rated using a self-administered time tradeoff instrument, was 0.90. Stage, time to or from initial care, and utility measurement instrument were associated with statistically significant utility differences ranging from -0.19 to 0.02. Utilities for patients with stage IV cancer were 0.19 lower (P < 0.001) than for those with stage I to III cancer. Utilities elicited at more than 1 year after surgery were 0.05 higher than those elicited at 3 months after surgery (P = 0.008). Estimates of differences between utility measurement instruments were sensitive to how repeated scores in the same patient group were treated, and other findings were sensitive to how the disease stage was modeled and method of administration. CONCLUSIONS: Variations in reported utilities are associated with factors such as cancer stage, time to or from initial care, and utility measurement instrument. More research is needed to study why apparently similar patients report different quality of life.