12 research outputs found

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

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    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 25,000formelanoma,thyroidandtesticularcancerstomorethan25,000 for melanoma, thyroid and testicular cancers to more than 60,000 for multiple myeloma and leukemia. Lifetime costs ranged from less than 55,000forlungandlivercancerstoover55,000 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

    Understanding the costs of cancer care before and after diagnosis for the 21 most common cancers in Ontario: a population-based descriptive study

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    Background: The first year after cancer diagnosis is a period of intensive treatment and high cost. We sought to estimate costs for the 21 most common cancers in Ontario in the 3-month period before and the first year after diagnosis. Methods: We used the Ontario Cancer Registry to select patients who received diagnoses between 1997 and 2007 at 19 years of age or older, with valid International Classification of Diseases for Oncology (ICD-O) and histology codes, who survived 30 days or longer after diagnosis and had no second cancer within 90 days of the initial cancer (n = 402 399). We used linked administrative data to calculate mean costs for each cancer during the pre- and postdiagnosis periods for patients who died within 1 year after diagnosis and patients who survived beyond 1 year after diagnosis. Results: Mean prediagnosis costs were 2060(952060 (95% confidence interval [CI] 2023–2098)forallpatientswithcancer.Costsrangedfrom2098) for all patients with cancer. Costs ranged from 890 (95% CI 795–795–985) for melanoma to 4128(954128 (95% CI 3591–4664)forlivercanceramongpatientswhosurvivedbeyond1yearafterdiagnosis,andrangedfrom4664) for liver cancer among patients who survived beyond 1 year after diagnosis, and ranged from 2188 (95% CI 2040–2040–2336) for esophageal cancer to 5142(955142 (95% CI 4664–5620)formultiplemyelomaamongpatientswhodiedwithin1year.Themeanpostdiagnosiscostforourcohortwas5620) for multiple myeloma among patients who died within 1 year. The mean postdiagnosis cost for our cohort was 25 914 (95% CI 25782–25 782–26 046). Mean costs were lowest for melanoma (8611[958611 [95% CI 8221–9001])andhighestforesophagealcancer(9001]) and highest for esophageal cancer (50 620 [95% CI 47677–47 677–53 562] among patients who survived beyond 1 year after diagnosis, and ranged from 27560(9527 560 (95% CI 25 747–29373)forlivercancerto29 373) for liver cancer to 81 655 (95% CI 58361–58 361–104 949) for testicular cancer among patients who died within 1 year. Interpretation Our research provides cancer-related cost estimates for the pre- and postdiagnosis phases and offers insight into the economic burden incurred by the Ontario health care system. These estimates can help inform policy-makers’ decisions regarding resource allocation for cancer prevention and control, and can serve as important input for economic evaluations

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

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    BackgroundCosting 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.ObjectivesTo estimate and compare cancer costs in British Columbia and Ontario from the payers' perspectives.MethodsUsing 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.ResultsOverall, 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.ConclusionsThe standardization of data and costing methodology is challenging, but it enables interprovincial and international comparative costing analyses

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

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    Abstract 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 25,000formelanoma,thyroidandtesticularcancerstomorethan25,000 for melanoma, thyroid and testicular cancers to more than 60,000 for multiple myeloma and leukemia. Lifetime costs ranged from less than 55,000forlungandlivercancerstoover55,000 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

    Economic evaluation of prostate cancer risk assessment methods: A cost‐effectiveness analysis using population data

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    Abstract Background The current prostate cancer (PCa) screening standard of care (SOC) leads to unnecessary biopsies and overtreatment because decisions are guided by prostate‐specific antigen (PSA) levels, which have low specificity in the gray zone (3–10 ng/mL). New risk assessment tools (RATs) aim to improve biopsy decision‐making. We constructed a modeling framework to assess new RATs in men with gray zone PSA from the British Columbia healthcare system's perspective. Methods We evaluated the cost‐effectiveness of a new RAT used in biopsy‐naïve men aged 50+ with a PSA of 3–10 ng/mL using a time‐dependent state‐transition model. The model was informed by engaging patient partners and using linked administrative health data, supplemented with published literature. The incremental cost‐effectiveness ratio and the probability of the RAT being cost‐effective were calculated. Probabilistic analysis was used to assess parameter uncertainty. Results In the base case, a RAT based on an existing biomarker's characteristics was a dominant strategy associated with a cost savings of 44andaquality‐adjustedlifeyears(QALY)gainof0.00253over18 yearsoffollow‐up.Atacost‐effectivenessthresholdof44 and a quality‐adjusted life years (QALY) gain of 0.00253 over 18 years of follow‐up. At a cost‐effectiveness threshold of 50,000/QALY, the probability that using a RAT is cost‐effective relative to the SOC was 73%. Outcomes were sensitive to RAT costs and accuracy, especially the detection rate of high‐grade PCa. Results were also impacted by PCa prevalence and assumptions about undetected PCa survival. Conclusions Our findings showed that a more accurate RAT to guide biopsy can be cost‐effective. Our proposed general model can be used to analyze the cost‐effectiveness of any novel RAT

    Real-World Cost-Effectiveness of Bevacizumab With First-Line Combination Chemotherapy in Patients With Metastatic Colorectal Cancer: Population-Based Retrospective Cohort Studies in Three Canadian Provinces

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    Background. Real-world evidence can be a valuable tool when clinical trial data are incomplete or uncertain. Bevacizumab was adopted as first-line therapy for metastatic colorectal cancer (mCRC) based on significant survival improvements in initial clinical trials; however, survival benefit diminished in subsequent analyses. Consequently, there is uncertainty surrounding the cost-effectiveness of bevacizumab therapy achieved in practice. Objective. To assess real-world cost-effectiveness of first-line bevacizumab with irinotecan-based chemotherapy versus irinotecan-based chemotherapy alone for mCRC in British Columbia (BC), Saskatchewan, and Ontario, Canada. Methods. Using provincial cancer registries and linked administrative databases, we identified mCRC patients who initiated publicly funded irinotecan-based chemotherapy, with or without bevacizumab, in 2000 to 2015. We compared bevacizumab-treated patients to historical controls (treated before bevacizumab funding) and contemporaneous controls (receiving chemotherapy without bevacizumab), using inverse-probability-of-treatment weighting with propensity scores to balance baseline covariates. We calculated incremental cost-effectiveness ratios (ICER) using 5-year cost and survival adjusted for censoring, with bootstrapping to characterize uncertainty. We also conducted one-way sensitivity analysis for key drivers of cost-effectiveness. Results. The cohorts included 12,112 (Ontario), 1,161 (Saskatchewan), and 2,977 (BC) patients. Bevacizumab significantly increased treatment costs, with mean ICERs between 78,000and78,000 and 84,000/LYG (life-year gained) in the contemporaneous comparisons and 75,000and75,000 and 101,000/LYG in the historical comparisons. Reducing the cost of bevacizumab by 50% brought ICERs in all comparisons below 61,000/LYG.Limitations.Residualconfoundinginobservationaldatamaybiasresults,whiletheuseoforiginallistpricesoverestimatescurrentbevacizumabcost.Conclusion.Theadditionofbevacizumabtoirinotecan−basedchemotherapyextendedsurvivalformCRCpatientsbutatsignificantcost.Atoriginallistpricesbevacizumabcanonlybeconsideredcost−effectivewithcertaintyatawillingness−to−paythresholdover61,000/LYG. Limitations. Residual confounding in observational data may bias results, while the use of original list prices overestimates current bevacizumab cost. Conclusion. The addition of bevacizumab to irinotecan-based chemotherapy extended survival for mCRC patients but at significant cost. At original list prices bevacizumab can only be considered cost-effective with certainty at a willingness-to-pay threshold over 100,000/LYG, but price reductions or discounts have a significant impact on cost-effectiveness

    Real-World Safety of Niraparib for Maintenance Treatment of Ovarian Cancer in Canada

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    Niraparib was recently funded in Canada for the maintenance treatment of ovarian cancer following platinum-based chemotherapy. However, the drug’s safety profile in the real world remains uncertain. We conducted a cohort study to describe the patient population using niraparib and the proportion that experienced adverse events between June 2019 and December 2022 in four Canadian provinces (Ontario, Alberta, British Columbia [BC], and Quebec). We used administrative data and electronic medical records from Ontario Health, Alberta Health Services, and BC Cancer, and registry data from Exactis Innovation. We summarized baseline characteristics using descriptive statistics and reported safety outcomes using cumulative incidence. We identified 514 patients receiving niraparib. Mean age was 67 years and most were initiated on a daily dose of 100 or 200 mg/day. Grade 3/4 anemia, neutropenia, and thrombocytopenia occurred in 11–16% of the cohort. In Ontario, the three-month cumulative incidence of grade 3/4 thrombocytopenia was 11.6% (95% CI, 8.3–15.4%), neutropenia was 7.1% (95% CI, 4.6–10.4%), and anemia was 11.3% (95% CI, 8.0–15.2%). Cumulative incidences in the remaining provinces were similar. Initial daily dose and proportions of hematological adverse events were low in the real world and may be related to cautious prescribing and close monitoring by clinicians
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