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Provincial variations in radiotherapy utilization as a measure of access: a pan-Canadian study. Radiother Oncol 2021; 167:122-126. [PMID: 34942281 DOI: 10.1016/j.radonc.2021.12.017] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/27/2021] [Revised: 12/08/2021] [Accepted: 12/12/2021] [Indexed: 11/23/2022]
Abstract
BACKGROUND AND PURPOSE Access to radiotherapy (RT) is a key component of a cancer control strategy. However, radiotherapy utilization (RTU) rates fall short of desired benchmarks in certain Canadian provinces. We aimed to describe provincial variations in RTU across Canada. MATERIALS AND METHODS We calculated radiotherapy utilization ratios (RTUR) for each Canadian province from 2016 (RT case counts divided by incidence counts), by cancer type (all cancers, lung, breast, rectal, prostate) and treatment intent (curative, palliative) where data were available. Data were extracted from each provincial RT data repository, cancer registry and/or RT department. We compared RTURs descriptively across provinces and to Ontario benchmarks, and calculated an estimated national RTUR. In provinces with capacity for data linkage, RTURs were compared to a linked (patient-specific) method of calculating utilization, by linking each incident case to whether RT was received within 1 year of diagnosis (RTU-1yr). RESULTS Excluding three provinces that included re-treatments, all-cancer RTURs ranged from 0.31 in Manitoba to 0.40 in Nova Scotia. The national all-cancer RTUR was 0.35, which was comparable to Ontario benchmarks (0.34). Larger variations were seen by cancer type, with an absolute difference in RTURs of 28% for lung cancers, 27% for breast cancers, 21% for rectal cancers, and 18% for prostate cancers. RTURs for nearly all provinces were below established Ontario benchmarks for each cancer type, except prostate cancer. RTURs over-estimated RTU-1yr by at most 5%, except for prostate cancers where they over-estimated RTU-1yr by up to 15%. CONCLUSIONS RTU varies by province in Canada, and most notably by cancer subsite. More granular data at the regional level and by healthcare facility is required to further tailor strategies aimed at improving RT access. RTURs also serve as a reasonable surrogate for linked RTU, and both methods can contribute meaningfully to measure RTU depending on the context and data availability.
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Rassaf T, Totzeck M, Backs J, Bokemeyer C, Hallek M, Hilfiker-Kleiner D, Hochhaus A, Lüftner D, Müller OJ, Neudorf U, Pfister R, von Haehling S, Lehmann LH, Bauersachs J. Onco-Cardiology: Consensus Paper of the German Cardiac Society, the German Society for Pediatric Cardiology and Congenital Heart Defects and the German Society for Hematology and Medical Oncology. Clin Res Cardiol 2020; 109:1197-1222. [PMID: 32405737 PMCID: PMC7515958 DOI: 10.1007/s00392-020-01636-7] [Citation(s) in RCA: 50] [Impact Index Per Article: 12.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/12/2020] [Accepted: 03/13/2020] [Indexed: 12/11/2022]
Abstract
The acute and long-lasting side effects of modern multimodal tumour therapy significantly impair quality of life and survival of patients afflicted with malignancies. The key components of this therapy include radiotherapy, conventional chemotherapy, immunotherapy and targeted therapies. In addition to established tumour therapy strategies, up to 30 new therapies are approved each year with only incompletely characterised side effects. This consensus paper discusses the risk factors that contribute to the development of a potentially adverse reaction to tumour therapy and, in addition, defines specific side effect profiles for different treatment groups. The focus is on novel therapeutics and recommendations for the surveillance and treatment of specific patient groups.
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Affiliation(s)
- Tienush Rassaf
- Department of Cardiology and Vascular Medicine, West German Heart and Vascular Centre Essen, University Hospital Essen, Hufelandstrasse 55, 45147, Essen, Germany.
| | - Matthias Totzeck
- Department of Cardiology and Vascular Medicine, West German Heart and Vascular Centre Essen, University Hospital Essen, Hufelandstrasse 55, 45147, Essen, Germany
| | - Johannes Backs
- Institute for Experimental Cardiology, University Hospital Heidelberg, Heidelberg, Germany
| | - Carsten Bokemeyer
- Department of Oncology, Hematology and Bone Marrow Transplantation with the Section Pneumology, Centre for Oncology, University Hospital Hamburg-Eppendorf, Hamburg, Germany
| | - Michael Hallek
- Department I of Internal Medicine, Center for Integrated Oncology ABCD, University Hospital of Cologne, Cologne, Germany
| | | | - Andreas Hochhaus
- Department of Hematology and Medical Oncology, University Hospital Jena, Jena, Germany
| | - Diana Lüftner
- Department of Haematology, Oncology and Tumour Immunology, Charité, Humboldt University Berlin, Berlin, Germany
| | - Oliver J Müller
- Department of Internal Medicine III (Cardiology, Angiology and Internal Intensive Care Medicine), University Hospital Schleswig-Holstein, University of Kiel, Kiel, Germany
| | - Ulrich Neudorf
- Department of Pediatrics III, West German Heart and Vascular Centre Essen, University Hospital Essen, Essen, Germany
| | - Roman Pfister
- Clinic III for Internal Medicine, General and Interventional Cardiology, Electrophysiology, Angiology, Pneumology and Internal Intensive Care Medicine, University Hospital Cologne, Cologne, Germany
| | - Stephan von Haehling
- Department of Cardiology and Pneumology, Heart Center Göttingen, University of Göttingen Medical Center and German Center for Cardiovascular Research (DZHK), partner site Göttingen, Göttingen, Germany
| | - Lorenz H Lehmann
- Department of Cardiology, Angiology, Pneumology, University Hospital Heidelberg, Heidelberg, Germany
| | - Johann Bauersachs
- Department of Cardiology and Angiology, Hannover Medical School, Hannover, Germany
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Shafiq J, Gabriel GS, Barton MB. Radiotherapy service need in the Pacific Island countries. Asia Pac J Clin Oncol 2020; 17:e217-e225. [DOI: 10.1111/ajco.13437] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/17/2020] [Accepted: 07/10/2020] [Indexed: 01/22/2023]
Affiliation(s)
- Jesmin Shafiq
- Collaboration for Cancer Outcomes Research and Evaluation (CCORE) Ingham Institute for Applied Medical Research University of New South Wales Sydney New South Wales Australia
| | - Gabriel Sam Gabriel
- Collaboration for Cancer Outcomes Research and Evaluation (CCORE) Ingham Institute for Applied Medical Research University of New South Wales Sydney New South Wales Australia
| | - Michael B. Barton
- Collaboration for Cancer Outcomes Research and Evaluation (CCORE) Ingham Institute for Applied Medical Research University of New South Wales Sydney New South Wales Australia
- Department of Radiation Oncology South Western Sydney Local Health District Sydney New South Wales Australia
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A population perspective on the use of external beam radiotherapy in Catalonia, Spain. Clin Transl Oncol 2020; 22:2222-2229. [PMID: 32424700 DOI: 10.1007/s12094-020-02355-1] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/04/2020] [Accepted: 04/28/2020] [Indexed: 12/16/2022]
Abstract
PURPOSE To assess the use of external beam radiotherapy in Catalonia (Spain), overall and by health management area. METHODS We assessed radiotherapy treatments in a cohort of patients diagnosed with cancer from 2009 to 2011, using the population-based cancer registries in Girona and Tarragona. Participants had to have a minimum follow-up of 5 years from the time the cancer registry database was linked to the catalan health service database for financing radiation oncology. Outcomes included the proportion of patients receiving radiotherapy within 1 and 5 years of diagnosis. A log-binomial model was used to assess age-related trends in the use of radiotherapy by tumour site. Finally, we calculated the standardized utilization rate and 95% confidence intervals by health management area covered by the radiation oncology services, using indirect methods. RESULTS At 1 and 5 years from diagnosis, 21.4 and 24.4% of patients, respectively, had received external beam radiotherapy. Patients aged 40-64 years had the most indications for the treatment, and there was a negative correlation between the patients' age and the use of radiotherapy for most tumour sites (exceptions were cervical, thyroid, and uterine cancers). There were no statistically significant differences in the use of radiotherapy according to th health management area. CONCLUSIONS Population-based data show that external beam radiotherapy is underutilized in Catalonia. This situation requires a careful analysis to understand the causes, as well as an improvement of the available resources, oriented toward achieving realistic targets for the optimal use of external beam radiotherapy in our country.
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Chan J, Friborg J, Zubizarreta E, van Eck JW, Hanna TP, Bourque JM, Gaudet M, Dennis K, Olson R, Coleman CN, Petersen AJ, Grau C, Abdel-Wahab M, Brundage M, Slotman B, Polo A. Examining geographic accessibility to radiotherapy in Canada and Greenland for indigenous populations: Measuring inequities to inform solutions. Radiother Oncol 2020; 146:1-8. [DOI: 10.1016/j.radonc.2020.01.023] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/01/2019] [Revised: 01/22/2020] [Accepted: 01/27/2020] [Indexed: 12/15/2022]
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Liu W, Liu A, Chan J, Boldt RG, Munoz-Schuffenegger P, Louie AV. What is the optimal radiotherapy utilization rate for lung cancer?-a systematic review. Transl Lung Cancer Res 2019; 8:S163-S171. [PMID: 31673521 DOI: 10.21037/tlcr.2019.08.12] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/24/2022]
Abstract
Lung cancer is a major cause of morbidity and mortality globally. Although radiotherapy (RT) may be beneficial in the radical and/or palliative management of many lung cancer patients, it is underutilized worldwide. Population-level development of RT resources requires estimates of optimal radiotherapy utilization rates (ORUR) and actual radiotherapy utilization rate (ARUR). A systematic review of PubMed database for English-language articles from January 2009 to January 2019 was performed. Keywords included utilization, underutilization, demand, epidemiologic, benchmark, RT and cancer. Data abstracted included: study population, diagnosis, stage, year of diagnosis, timing of RT, intent of RT, ARUR, and ORUR. Eligible studies provided ARUR or ORUR for lung cancer, small cell lung cancer (SCLC), or non-small cell lung cancer (NSCLC). Included ARUR were based on at least 1,000 patients who were diagnosed or treated in 2009 or later. Included ORUR were based on evidence review or ARUR in 2009 or later. The initial search strategy yielded 1,627 unique abstracts. After review, 105 articles were determined appropriate for full-text review. From these, a final set of 21 articles met all inclusion criteria. In eight papers, ORUR was estimated. Estimated lifetime ORUR ranged from 61% to 82%. Methods for estimation included the evidence-based guideline model, Malthus model, and criterion-based benchmarking (CBB) model. The majority of estimates (6/8) used the evidence-based guideline model. Fifteen papers provided ARUR on lung cancer, inclusive of SCLC and NSCLC. ARUR within 9 months to 1 year of diagnosis ranged from 39% to 46%. Lifetime ARUR was an estimated 52% in Ontario, Canada. Palliative intent ARUR ranged from 12% in Central Poland to 46% in Ontario, Canada. RT is underutilized for lung cancer globally, and there is wide geographical variation in the level of underutilization.
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Affiliation(s)
- Wei Liu
- Division of Radiation Oncology, London Health Sciences Centre, London, Ontario, Canada
| | - Alissa Liu
- McMaster University, Hamilton, Ontario, Canada
| | - Jessica Chan
- Division of Radiation Oncology, The Ottawa Hospital and the University of Ottawa, Ottawa, Ontario, Canada
| | - R Gabriel Boldt
- Division of Radiation Oncology, London Health Sciences Centre, London, Ontario, Canada
| | - Pablo Munoz-Schuffenegger
- Departamento de Hematologia-Oncologia, Pontificia Universidad Catolica de Chile, Santiago, Región Metropolitana, Chile
| | - Alexander V Louie
- Division of Radiation Oncology, London Health Sciences Centre, London, Ontario, Canada.,Department of Radiation Oncology, Sunnybrook Health Sciences Centre, Toronto, Ontario, Canada
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Chan J, Friborg J, Chernov M, Cherkashin M, Grau C, Brundage M, Slotman B. Access to radiotherapy among circumpolar Inuit populations. Lancet Oncol 2019; 20:e590-e600. [PMID: 31579005 DOI: 10.1016/s1470-2045(19)30394-8] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/30/2019] [Revised: 05/03/2019] [Accepted: 05/14/2019] [Indexed: 01/08/2023]
Abstract
Cancer is a substantial health burden for Inuit populations, an Indigenous peoples who primarily inhabit the circumpolar regions of Alaska, Canada, Greenland, and Russia. Access to radiotherapy is lacking or absent in many of these regions, despite it being an essential component of cancer treatment. This Review presents an overview of factors influencing radiotherapy delivery in each of the four circumpolar Inuit regions, which include population and geography, health-systems infrastructure, and cancer epidemiology. This Review also provides insight into the complex patient pathways needed to access radiotherapy, and on radiotherapy use. The unique challenges in delivering radiotherapy to circumpolar Inuit populations are discussed, which, notably, include geographical and cultural barriers. Recommendations include models of care that have successfully addressed these barriers, and highlight the need for increased collaboration between circumpolar referral centres in Alaska, Canada, Greenland, and Russia to ultimately allow for better delivery of cancer treatment.
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Affiliation(s)
- Jessica Chan
- Division of Radiation Oncology, The Ottawa Hospital and the University of Ottawa, Ottawa, ON, Canada; Department of Radiation Oncology, Amsterdam UMC Vrije University Medical Center, Amsterdam, Netherlands.
| | - Jeppe Friborg
- Department of Clinical Oncology, Rigshospitalet, Copenhagen, Denmark
| | - Mikhail Chernov
- Faculty of Advanced Techno-Surgery, Tokyo Women's Medical University, Tokyo, Japan
| | | | - Cai Grau
- Department of Oncology, Aarhus University Hospital, Aarhus, Denmark
| | - Michael Brundage
- Division of Cancer Care and Epidemiology, Cancer Research Institute at Queen's University, Kingston, ON, Canada
| | - Ben Slotman
- Department of Radiation Oncology, Amsterdam UMC Vrije University Medical Center, Amsterdam, Netherlands
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Abstract
The use of data from the real world to address clinical and policy-relevant questions that cannot be answered using data from clinical trials is garnering increased interest. Indeed, data from cancer registries and linked treatment records can provide unique insights into patients, treatments and outcomes in routine oncology practice. In this Review, we explore the quality of real-world data (RWD), provide a framework for the use of RWD and draw attention to the methodological pitfalls inherent to using RWD in studies of comparative effectiveness. Randomized controlled trials and RWD remain complementary forms of medical evidence; studies using RWD should not be used as substitutes for clinical trials. The comparison of outcomes between nonrandomized groups of patients who have received different treatments in routine practice remains problematic. Accordingly, comparative effectiveness studies need to be designed and interpreted very carefully. With due diligence, RWD can be used to identify and close gaps in health care, offering the potential for short-term improvement in health-care systems by enabling them to achieve the achievable.
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Mackillop WJ, Kong W. Comparison of Methods for Measuring Radiotherapy Utilisation. Clin Oncol (R Coll Radiol) 2019; 31:e95-e101. [PMID: 30987879 DOI: 10.1016/j.clon.2019.03.046] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/11/2018] [Revised: 03/01/2019] [Accepted: 03/07/2019] [Indexed: 10/27/2022]
Abstract
AIMS Evidence-based estimates of appropriate rates of radiotherapy utilisation are usually stated as the proportion of cancer patients who should receive radiotherapy at least once in their lifetime. However, the prolonged follow-up required to measure the lifetime radiotherapy rate limits its value in monitoring access to radiotherapy in routine practice. The objectives of this study were to evaluate shorter-term methods for measuring radiotherapy utilisation and to determine how well they predict the lifetime radiotherapy rate. MATERIALS AND METHODS The Ontario Cancer Registry provided records of all cases of cancer diagnosed in Ontario between 1984 and 2015. Records of all radiotherapy delivered by Ontario cancer centres were linked to individual cases in the Ontario Cancer Registry. Patients were followed forward for 20 years to determine the relationship between short-term and long-term rates of use of radiotherapy. Radiotherapy utilisation was also estimated by comparing total radiotherapy workload with cancer incidence; these measures were compared with observed long-term radiotherapy rates. RESULTS The rate of use of radiotherapy within 1 year of diagnosis (RT1y) was strongly predictive of the rate of use of radiotherapy after 20 years (RT20y); for each annual cohort of cases between 1984 and 1995, RT20y was approximately equal to 1.3 × RT1y. The number of cases treated for the first time with radiotherapy in a specified period, divided by the number of new cases diagnosed in the same period, was about equal to the proportion of cases treated with radiotherapy within 20 years of diagnosis (RT20y). CONCLUSIONS The lifetime rate of use of radiotherapy may be predicted quite accurately from the rate observed within 1 year of diagnosis, or from the ratio of new cases treated to cancer incidence in a specified period. Either of these measures may therefore be used to audit radiotherapy utilisation against the existing evidence-based targets.
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Affiliation(s)
- W J Mackillop
- Division of Cancer Care and Epidemiology, Queen's Cancer Research Institute, Kingston, Ontario, Canada; Department of Oncology, Queen's University, Kingston, Ontario, Canada.
| | - W Kong
- Division of Cancer Care and Epidemiology, Queen's Cancer Research Institute, Kingston, Ontario, Canada
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Totzeck M, Schuler M, Stuschke M, Heusch G, Rassaf T. Cardio-oncology - strategies for management of cancer-therapy related cardiovascular disease. Int J Cardiol 2019; 280:163-175. [PMID: 30661849 DOI: 10.1016/j.ijcard.2019.01.038] [Citation(s) in RCA: 118] [Impact Index Per Article: 23.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/02/2018] [Revised: 12/15/2018] [Accepted: 01/10/2019] [Indexed: 02/07/2023]
Abstract
Current therapy of advanced cancers is based on several modalities including radiotherapy, cytotoxic chemotherapy, molecularly targeted inhibitors and antibodies targeting immune checkpoints. All of those these modalities can negatively impact the cardiovascular system, and there is considerable experience in relation to radiotherapy and chemotherapy. In contrast, the knowledge base on cardiovascular toxicities of novel agents targeting signal transduction pathways and immune regulation is quite limited. In particular, potential late effects are of concern as cardiovascular pathology can negatively impact quality of life and prognosis in cancer survivors, particularly when additional cardiovascular risk factors are present. Treatment-associated adverse events include hypertension, venous thromboembolism, coronary artery disease, valvular heart disease, heart failure and arrhythmias. Early diagnosis of subclinical cardiotoxic effects of cancer therapies remains challenging. Integrated care, as provided by multidisciplinary cardio-oncology teams is the best option for prevention, diagnosis and treatment of cardiovascular diseases associated with cancer therapy. This review considers the cardiotoxic effects of specific cancer therapies and discusses novel diagnostic and therapeutic approaches as a reference for optimizing the care of cancer patients receiving novel cancer therapies.
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Affiliation(s)
- Matthias Totzeck
- Department of Cardiology and Vascular Medicine, West German Heart and Vascular Center, Medical Faculty, University Hospital Essen, Hufelandstr. 55, 45147 Essen, Germany
| | - Martin Schuler
- Department of Medical Oncology, West German Cancer Center, Medical Faculty, University Hospital Essen, Hufelandstr. 55, 45147 Essen, Germany; German Cancer Consortium (DKTK), Partner site University Hospital Essen, Hufelandstrasse 55, 45147 Essen, Germany
| | - Martin Stuschke
- Department of Radiation Oncology, West German Cancer Center, Medical Faculty, University Hospital Essen, Hufelandstr. 55, 45147 Essen, Germany; German Cancer Consortium (DKTK), Partner site University Hospital Essen, Hufelandstrasse 55, 45147 Essen, Germany
| | - Gerd Heusch
- Institute for Pathophysiology, West German Heart and Vascular Center, Medical Faculty, University Hospital Essen, Hufelandstr. 55, 45147 Essen, Germany
| | - Tienush Rassaf
- Department of Cardiology and Vascular Medicine, West German Heart and Vascular Center, Medical Faculty, University Hospital Essen, Hufelandstr. 55, 45147 Essen, Germany.
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Jin CJ, Kong W, Mackillop WJ. Estimating the need for palliative radiotherapy for non-small cell lung cancer: A criterion-based benchmarking approach. Radiother Oncol 2018; 128:541-547. [PMID: 29934108 DOI: 10.1016/j.radonc.2018.06.005] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/23/2018] [Revised: 05/30/2018] [Accepted: 06/03/2018] [Indexed: 11/26/2022]
Abstract
BACKGROUND AND PURPOSE Estimates of appropriate treatment rates are required for monitoring and improving access to cancer care. Optimal utilization rates for palliative radiotherapy (PRT) for patients with non-small cell lung cancer (NSCLC) remain undefined. We aim to estimate the appropriate PRT rate for the general NSCLC population. MATERIALS AND METHODS Ontario's population-based cancer registry identified patients with NSCLC who died of their disease between 2006 and 2010. Multivariate analysis identified factors affecting PRT use, enabling us to define a benchmark population with unimpeded access to PRT. Proportion of cases treated in the last 2 years of life (PRT2y) was standardized to overall population characteristics. Benchmarks were compared to province-wide PRT2y rates. RESULTS Availability of RT at the diagnosing hospital was the dominant determinant of increased PRT utilization. Patients diagnosed at hospitals with on site RT were therefore designated the benchmark population. The standardized benchmark for PRT2y was 56%, compared to the province-wide rate of 49%. The gap between actual and optimal rates varied across patient ages, treatment indications, and geographic regions. CONCLUSIONS Approximately 56% of patients who die of NSCLC in Ontario need PRT, but many are never treated.
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Affiliation(s)
- Chunzi Jenny Jin
- Department of Oncology, Queen's University, Kingston, Ontario, Canada
| | - Weidong Kong
- Cancer Care and Epidemiology, Queen's Cancer Research Institute, Queen's University, Kingston, Ontario, Canada
| | - William J Mackillop
- Department of Oncology, Queen's University, Kingston, Ontario, Canada; Cancer Care and Epidemiology, Queen's Cancer Research Institute, Queen's University, Kingston, Ontario, Canada; Department of Public Health Sciences, Queen's University, Kingston, Ontario, Canada.
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