scholarly journals The price of curing cancer

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Afschin Gandjour

Abstract Background Health care systems around the world struggle with high prices for new cancer drugs. The purpose of this study was to conduct a gedankenexperiment and calculate how much health expenditures would change if a cure for cancer through pharmaceutical treatment were made available. The cancer cure was conceived to eliminate both cancer deaths and the underlying morbidity burden of cancer. Furthermore, the cure was hypothesized to arrive in incremental steps but at infinitesimally small time intervals (resulting, effectively, in an immediate cure). Methods The analysis used secondary data and was conducted from the viewpoint of the German social health insurance. As its underlying method, it used a cause-elimination life-table approach. To account for the age distribution of the population, the study weighted age-specific increases in remaining life expectancy by age-specific population sizes. It considered drug acquisition costs as well as savings and life extension costs from eliminating cancer. All cancer drugs that underwent a mandatory early benefit assessment in Germany between 2011 and 2015/16 and were granted an added benefit were included. Data on age- and gender-specific probabilities of survival, population sizes, causes of death, and health expenditures, as well as data on cancer costs were taken from the German Federal Office of Statistics and the German Federal Social Insurance Office. Results Based on the cause-elimination life-table approach and accounting for the age structure of the German population, curing cancer in Germany yields an increase in average remaining life expectancy by 2.66 life years. Based on the current incremental cost-effectiveness ratio of new cancer drugs, which is on average €101,493 per life year gained (€39,751/0.39 life years), the German social health insurance would need to pay €280,497 per insuree to eliminate cancer. Dividing this figure by current average remaining lifetime health expenditures yields a ratio of 2.07, which represents a multiplier of current health expenditures. Conclusions Eliminating cancer at current price levels would more than triple total health expenditures in Germany. As the current price of a cure requires a drastic reduction of non-health consumption, it appears that current prices for cancer drugs already on the market (i.e., small steps towards a cure) need careful reconsideration.

F1000Research ◽  
2020 ◽  
Vol 9 ◽  
pp. 238
Author(s):  
Roger V. Araujo-Castillo ◽  
Carlos Culquichicón ◽  
Risof Solis Condor

Introduction: Since its introduction by the World Health Organization (WHO), the concept of burden of disease has been evolving. The current method uses life expectancy projected to 2050 and does not consider age-weighting and time-discounting. Our aim is to estimate the burden of disease due to hip, knee, and unspecified osteoarthritis using this new method in the Peruvian Social Health Insurance System (EsSalud) during 2016. Methods: We followed the original 1994 WHO study and the current 2015 Global Burden of Disease (GBD) methods to estimate disability adjusted life years (DALY) due to osteoarthritis, categorized by sex, age, osteoarthritis type, and geographical area. We used disability weights employed by the Peruvian Ministry of Health, and the last update issued by WHO. Results: Overall, EsSalud reported 17.9 new cases of osteoarthritis per 1000 patients per year. Annual incidence was 23.7/1000 among women, and 72.6/1000 in people above 60 years old. Incidence was 5.6/1000 for knee osteoarthritis and 1.1/1000 for hip. According to the 1994 WHO method, there were 399,884 DALYs or 36.6 DALYs/1000 patients per year due to osteoarthritis. 12.4 and 2.2 DALYs/1000 patients per-year were estimated for knee and hip osteoarthritis, respectively. Using the 2015 GBD method, there were 1,037,865 DALYs or 94.9 DALYs/1000 patients per year. 31.4 and 5.3 DALYs/1000 patients per year were calculated for knee and hip osteoarthritis, respectively. Conclusions: In the Peruvian social health insurance subsystem, hip, knee, and unspecified osteoarthritis produced a high burden of disease, especially among women and patients over 60. The 2015 GBD methodology yields values almost three times higher than the original recommendations.


F1000Research ◽  
2020 ◽  
Vol 9 ◽  
pp. 238
Author(s):  
Roger V. Araujo-Castillo ◽  
Carlos Culquichicón ◽  
Risof Solis Condor

Introduction: Since its introduction by the World Health Organization (WHO), the concept of burden of disease has been evolving. The current method uses life expectancy projected to 2050 and does not consider age-weighting and time-discounting. Our aim is to estimate the burden of disease due to hip, knee, and unspecified osteoarthritis using this new method in the Peruvian Social Health Insurance System (EsSalud) during 2016. Methods: We followed the original 1994 WHO study and the current 2015 Global Burden of Disease (GBD) methods to estimate disability adjusted life years (DALY) due to osteoarthritis, categorized by sex, age, osteoarthritis type, and geographical area. We used disability weights employed by the Peruvian Ministry of Health, and the last update issued by WHO. Results: Overall, EsSalud reported 17.9 new cases of osteoarthritis per 1000 patients per year. Annual incidence was 23.7/1000 among women, and 72.6/1000 in people above 60 years old. Incidence was 5.6/1000 for knee osteoarthritis and 1.1/1000 for hip. According to the 1994 WHO method, there were 399,884 DALYs or 36.6 DALYs/1000 patients per year due to osteoarthritis. 12.4 and 2.2 DALYs/1000 patients per-year were estimated for knee and hip osteoarthritis, respectively. Using the 2015 GBD method, there were 1,037,865 DALYs or 94.9 DALYs/1000 patients per year. 31.4 and 5.3 DALYs/1000 patients per year were calculated for knee and hip osteoarthritis, respectively. Conclusions: In the Peruvian social health insurance subsystem, hip, knee, and unspecified osteoarthritis produced a high burden of disease, especially among women and patients over 60. The 2015 GBD methodology yields values almost three times higher than the original recommendations.


2007 ◽  
Author(s):  
Jürgen Wasem ◽  
Hans-Dieter Nolting ◽  
Yvonne Grabbe ◽  
Stefan Loos

2021 ◽  
Vol 6 (2) ◽  
pp. e004117
Author(s):  
Aniqa Islam Marshall ◽  
Kanang Kantamaturapoj ◽  
Kamonwan Kiewnin ◽  
Somtanuek Chotchoungchatchai ◽  
Walaiporn Patcharanarumol ◽  
...  

Participatory and responsive governance in universal health coverage (UHC) systems synergistically ensure the needs of citizens are protected and met. In Thailand, UHC constitutes of three public insurance schemes: Civil Servant Medical Benefit Scheme, Social Health Insurance and Universal Coverage Scheme. Each scheme is governed through individual laws. This study aimed to identify, analyse and compare the legislative provisions related to participatory and responsive governance within the three public health insurance schemes and draw lessons that can be useful for other low-income and middle-income countries in their legislative process for UHC. The legislative provisions in each policy document were analysed using a conceptual framework derived from key literature. The results found that overall the UHC legislative provisions promote citizen representation and involvement in UHC governance, implementation and management, support citizens’ ability to voice concerns and improve UHC, protect citizens’ access to information as well as ensure access to and provision of quality care. Participatory governance is legislated in 33 sections, of which 23 are in the Universal Coverage Scheme, 4 in the Social Health Insurance and none in the Civil Servant Medical Benefit Scheme. Responsive governance is legislated in 24 sections, of which 18 are in the Universal Coverage Scheme, 2 in the Social Health Insurance and 4 in the Civil Servant Medical Benefit Scheme. Therefore, while several legislative provisions on both participatory and responsive governance exist in the Thai UHC, not all schemes equally bolster citizen participation and government responsiveness. In addition, as legislations are merely enabling factors, adequate implementation capacity and commitment to the legislative provisions are equally important.


BMJ Open ◽  
2021 ◽  
Vol 11 (6) ◽  
pp. e044322
Author(s):  
Wenqi Fu ◽  
Jufang Shi ◽  
Xin Zhang ◽  
Chengcheng Liu ◽  
Chengyao Sun ◽  
...  

ObjectivesTo determine the incidence and intensity of household impoverishment induced by cancer treatment in China.DesignAverage income and daily consumption per capita of the households and out-of-pocket payments for cancer care were estimated. Household impoverishment was determined by comparing per capita daily consumption against the Chinese poverty line (CPL, US$1.2) and the World Bank poverty line (WBPL, US$1.9) for 2015. Both pre-treatment and post-treatment consumptions were calculated assuming that the households would divert daily consumption money to pay for cancer treatment.ParticipantsCancer patients diagnosed initially from 1 January 2015 to 31 December 2016 who had received cancer treatment subsequently. Those with multiple cancer diagnoses were excluded.Data sourcesA household questionnaire survey was conducted on 2534 cancer patients selected from nine hospitals in seven provinces through two-stage cluster/convenience sampling.Findings5.89% (CPL) to 12.94% (WBPL) households were impoverished after paying for cancer treatment. The adjusted OR (AOR) of post-treatment impoverishment was higher for older patients (AOR=2.666–4.187 for ≥50 years vs <50 years, p<0.001), those resided in central region (AOR=2.619 vs eastern, p<0.01) and those with lower income (AOR=0.024–0.187 in higher income households vs the lowest 20%, p<0.001). The patients without coverage from social health insurance had higher OR (AOR=1.880, p=0.040) of experiencing post-treatment household impoverishment than those enrolled with the insurance for urban employees. Cancer treatment is associated with an increase of 5.79% (CPL) and 12.45% (WBPL) in incidence of household impoverishment. The median annual consumption gap per capita underneath the poverty line accumulated by the impoverished households reached US$128 (CPL) or US$212 (WBPL). US$31 170 395 (CPL) or US$115 238 459 (WBPL) were needed to avoid household impoverishment induced by cancer treatment in China.ConclusionsThe financial burden of cancer treatment imposes a significant risk of household impoverishment despite wide coverage of social health insurance in China.


2018 ◽  
Vol 3 (1) ◽  
pp. e000582 ◽  
Author(s):  
Neeraj Sood ◽  
Zachary Wagner

Life-saving technology used to treat catastrophic illnesses such as heart disease and cancer is often out of reach for the poor. As life expectancy increases in poor countries and the burden from chronic illnesses continues to rise, so will the unmet need for expensive tertiary care. Understanding how best to increase access to and reduce the financial burden of expensive tertiary care is a crucial task for the global health community in the coming decades. In 2010, Karnataka, a state in India, rolled out the Vajpayee Arogyashree scheme (VAS), a social health insurance scheme focused on increasing access to tertiary care for households below the poverty line. VAS was rolled out in a way that allowed for robust evaluation of its causal effects and several studies have examined various impacts of the scheme on poor households. In this analysis article, we summarise the key findings and assess how these findings can be used to inform other social health insurance schemes. First, the evidence suggests that VAS led to a substantial reduction in mortality driven by increased tertiary care utilisation as well as use of better quality facilities and earlier diagnosis. Second, VAS significantly reduced the financial burden of receiving tertiary care. Third, these benefits of social health insurance were achieved at a reasonable cost to society and taxpayers. Several unique features of VAS led to its success at improving health and financial well-being including effective outreach via health camps, targeting expensive conditions with high disease burden, easy enrolment process, cashless treatment, bundled payment for hospital services, participation of both public and private hospitals and prior authorisation to improve appropriateness of care.


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