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1.
Support Care Cancer ; 30(8): 6463-6471, 2022 Aug.
Article in English | MEDLINE | ID: mdl-35322274

ABSTRACT

PURPOSE: In the past decade, literature has called attention to financial toxicities experienced by cancer patients. Though studies have addressed research questions in high-income countries, there remains a paucity of in-depth reviews regarding low- and middle-income countries (LMICs). Our scoping review provides an overview of treatment-related financial toxicities experienced by cancer patients in LMICs. METHODS: A systematic search was conducted in MEDLINE, EMBASE and the Cochrane Central Register of Controlled Trials. English peer-reviewed articles that (a) explored patients' experience with financial toxicity due to cancer treatment (b) were specific to LMICs as defined by the World Bank and (c) focused on qualitative data were included. Details regarding participants and main findings were extracted and synthesized. RESULTS: The search yielded 6290 citations, and 42 studies across 3 low-income, 9 lower-middle-income and 8 upper-middle-income countries. Main themes identified included cancer patients encountered various material hardships, managed costs with different coping behaviours and experienced negative psychological responses to their financial burden. Higher levels of financial toxicities were associated with patient characteristics such as lower socio-economic status and lack of insurance, as well as patient outcomes such as lower quality of life. CONCLUSION: Cancer patients in LMIC experience deleterious financial toxicities as a result of treatment. This comprehensive characterization of financial toxicities will better allow health systems to adopt evidence-based mitigation strategies to reduce the financial burden on patients.


Subject(s)
Developing Countries , Neoplasms , Financial Stress , Humans , Income , Neoplasms/therapy , Poverty , Quality of Life
2.
Sci Rep ; 10(1): 4091, 2020 03 05.
Article in English | MEDLINE | ID: mdl-32139756

ABSTRACT

Early-stage breast cancer (BC) is a curable disease with many patients dying of causes other than BC. The influence of non-BC death and other competing risks on the interpretation of Kaplan-Meier (KM)-based analyses for BC-specific outcomes are unknown. We searched the Oxford University website to identify all meta-analyses published by the Early Breast Cancer Trialists Collaborative Group (EBCTCG) between 2005 and 2018. The potential influence of competing risks was estimated using a validated multivariable linear model that predicts the difference between KM and cumulative incidence function (CIF) on estimates of BC-specific outcomes. The initial search identified 14 EBCTCG papers, 10 (71%) reported data on BC and competing events. Eight (80%) had a relative difference between KM and the competing risk adjusted estimates exceeding 10%. The median relative difference was 28.4% for local-recurrence; 16.8% for distant-recurrence, and 6.7% for BC-specific mortality. There was a 18.9% relative difference between KM and CIF adjusted analyses beyond 10 years. The use of KM-based methods when competing risks are present biases risk estimates in studies of early BC especially for uncommon outcomes such as local recurrence. The use of CIF to calculate BC-specific outcomes may be preferable in this setting.


Subject(s)
Breast Neoplasms/mortality , Models, Statistical , Neoplasm Recurrence, Local/mortality , Risk Assessment/methods , Breast Neoplasms/epidemiology , Breast Neoplasms/pathology , Canada/epidemiology , Female , Humans , Incidence , Neoplasm Recurrence, Local/epidemiology , Neoplasm Recurrence, Local/pathology , Prognosis , Survival Rate
4.
Lancet Oncol ; 16(10): 1153-86, 2015 Sep.
Article in English | MEDLINE | ID: mdl-26419354

ABSTRACT

Radiotherapy is a critical and inseparable component of comprehensive cancer treatment and care. For many of the most common cancers in low-income and middle-income countries, radiotherapy is essential for effective treatment. In high-income countries, radiotherapy is used in more than half of all cases of cancer to cure localised disease, palliate symptoms, and control disease in incurable cancers. Yet, in planning and building treatment capacity for cancer, radiotherapy is frequently the last resource to be considered. Consequently, worldwide access to radiotherapy is unacceptably low. We present a new body of evidence that quantifies the worldwide coverage of radiotherapy services by country. We show the shortfall in access to radiotherapy by country and globally for 2015-35 based on current and projected need, and show substantial health and economic benefits to investing in radiotherapy. The cost of scaling up radiotherapy in the nominal model in 2015-35 is US$26·6 billion in low-income countries, $62·6 billion in lower-middle-income countries, and $94·8 billion in upper-middle-income countries, which amounts to $184·0 billion across all low-income and middle-income countries. In the efficiency model the costs were lower: $14·1 billion in low-income, $33·3 billion in lower-middle-income, and $49·4 billion in upper-middle-income countries-a total of $96·8 billion. Scale-up of radiotherapy capacity in 2015-35 from current levels could lead to saving of 26·9 million life-years in low-income and middle-income countries over the lifetime of the patients who received treatment. The economic benefits of investment in radiotherapy are very substantial. Using the nominal cost model could produce a net benefit of $278·1 billion in 2015-35 ($265·2 million in low-income countries, $38·5 billion in lower-middle-income countries, and $239·3 billion in upper-middle-income countries). Investment in the efficiency model would produce in the same period an even greater total benefit of $365·4 billion ($12·8 billion in low-income countries, $67·7 billion in lower-middle-income countries, and $284·7 billion in upper-middle-income countries). The returns, by the human-capital approach, are projected to be less with the nominal cost model, amounting to $16·9 billion in 2015-35 (-$14·9 billion in low-income countries; -$18·7 billion in lower-middle-income countries, and $50·5 billion in upper-middle-income countries). The returns with the efficiency model were projected to be greater, however, amounting to $104·2 billion (-$2·4 billion in low-income countries, $10·7 billion in lower-middle-income countries, and $95·9 billion in upper-middle-income countries). Our results provide compelling evidence that investment in radiotherapy not only enables treatment of large numbers of cancer cases to save lives, but also brings positive economic benefits.


Subject(s)
Developing Countries/economics , Global Health/economics , Health Care Costs , Health Services Accessibility/economics , Healthcare Disparities/economics , National Health Programs/economics , Neoplasms/economics , Neoplasms/radiotherapy , Cost-Benefit Analysis , Diffusion of Innovation , Forecasting , Global Health/trends , Health Care Costs/trends , Health Services Accessibility/trends , Healthcare Disparities/trends , Humans , Models, Economic , National Health Programs/trends , Neoplasms/diagnosis , Neoplasms/mortality , Radiotherapy/economics , Socioeconomic Factors , Time Factors , Treatment Outcome
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