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Productivity losses associated with premature mortality due to cancer in Russia: A population-wide study covering 2001-2030.

ABSTRACT: Aims: Productivity losses related to premature cancer mortality have been assessed for most developed countries but results for Russia are limited to cross-sectional reports. The aim of this study was to quantify productivity costs due to cancer mortality in Russia between 2001 and 2015 and project this to 2030. Methods: Cancer mortality data (2001-2015) were acquired from the State Cancer Registry, whereas population data, labour force participation rates and annual earnings were retrieved from the Federal State Statistics Service. Cancer mortality was projected to 2030 and the human capital approach was applied to estimate productivity losses. Results: The total annual losses increased from US6.5b in 2001-2005 to US$8.1b in 2011-2015, corresponding to 0.24% of the annual gross domestic product. The value is expected to remain high in 2030 (US$7.5b, 0.14% of gross domestic product). Productivity losses per cancer death are predicted to grow faster in women (from US$18,622 to US$22,386) than in men (from US$25,064 to US$28,459). Total losses were found to be highest for breast cancer in women (US$0.6b, 20% of overall losses in women) and lung cancer in men (US$1.2b, 24%). The absolute predicted change of annual losses between 2011-2015 and 2026-2030 was greatest for cervix uteri (+US$214m) in women and for lip, oral and pharyngeal cancers in men (+US$182m). Conclusions: In Russia, productivity losses due to premature cancer mortality are substantial. Given the expected importance especially for potentially preventable cancers, steps to implement effective evidence-based national cancer control policies are urgently required.

SUBMITTER: Barchuk A

PROVIDER: S-EPMC6651608 | biostudies-literature | 2019 Jul

REPOSITORIES: biostudies-literature

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Productivity losses associated with premature mortality due to cancer in Russia: A population-wide study covering 2001-2030.

Barchuk Anton A Bespalov Alexander A Huhtala Heini H Chimed Tuvshinjargal T Belyaev Alexey A Moore Malcolm M Anttila Ahti A Auvinen Anssi A Pearce Alison A Soerjomataram Isabelle I

Scandinavian journal of public health 20190701 5

<i>Aims:</i> Productivity losses related to premature cancer mortality have been assessed for most developed countries but results for Russia are limited to cross-sectional reports. The aim of this study was to quantify productivity costs due to cancer mortality in Russia between 2001 and 2015 and project this to 2030. <i>Methods</i>: Cancer mortality data (2001-2015) were acquired from the State Cancer Registry, whereas population data, labour force participation rates and annual earnings were ...[more]

PMID: 31313982

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Project description:BackgroundResearchers and policy makers have determined that accounting for productivity costs, or "indirect costs," may be as important as including direct medical expenditures when evaluating the societal value of health interventions. These costs are also important when estimating the global burden of disease. The estimation of indirect costs is commonly done on a country-specific basis. However, there are few studies that evaluate indirect costs across countries using a consistent methodology.MethodsUsing the human capital approach, we developed a model that estimates productivity costs as the present value of lifetime earnings (PVLE) lost due to premature mortality. Applying this methodology, the model estimates productivity costs for 29 selected countries, both developed and emerging. We also provide an illustration of how the inclusion of productivity costs contributes to an analysis of the societal burden of smoking. A sensitivity analysis is undertaken to assess productivity costs on the basis of the friction cost approach.ResultsPVLE estimates were higher for certain subpopulations, such as men, younger people, and people in developed countries. In the case study, productivity cost estimates from our model showed that productivity loss was a substantial share of the total cost burden of premature mortality due to smoking, accounting for over 75 % of total lifetime costs in the United States and 67 % of total lifetime costs in Brazil. Productivity costs were much lower using the friction cost approach among those of working age.ConclusionsOur PVLE model is a novel tool allowing researchers to incorporate the value of lost productivity due to premature mortality into economic analyses of treatments for diseases or health interventions. We provide PVLE estimates for a number of emerging and developed countries. Including productivity costs in a health economics study allows for a more comprehensive analysis, and, as demonstrated by our illustration, can have important effects on the results and conclusions.

Project description:BackgroundMost measures of the cancer burden take a public health perspective. Cancer also has a significant economic impact on society. To assess this economic burden, we estimated years of potential productive life lost (YPPLL) and costs of lost productivity due to premature cancer-related mortality in Ireland.MethodsAll cancers combined and the 10 sites accounting for most deaths in men and in women were considered. To compute YPPLL, deaths in 5-year age-bands between 15 and 64 years were multiplied by average working-life expectancy. Valuation of costs, using the human capital approach, involved multiplying YPPLL by age-and-gender specific gross wages, and adjusting for unemployment and workforce participation. Sensitivity analyses were conducted around retirement age and wage growth, labour force participation, employment and discount rates, and to explore the impact of including household production and caring costs. Costs were expressed in €2009.ResultsTotal YPPLL was lower in men than women (men = 10,873; women = 12,119). Premature cancer-related mortality costs were higher in men (men: total cost = €332 million, cost/death = €290,172, cost/YPPLL = €30,558; women: total cost = €177 million, cost/death = €159,959, cost/YPPLL = €14,628). Lung cancer had the highest premature mortality cost (€84.0 million; 16.5% of total costs), followed by cancers of the colorectum (€49.6 million; 9.7%), breast (€49.4 million; 9.7%) and brain & CNS (€42.4 million: 8.3%). The total economic cost of premature cancer-related mortality in Ireland amounted to €509.5 million or 0.3% of gross domestic product. An increase of one year in the retirement age increased the total all-cancer premature mortality cost by 9.9% for men and 5.9% for women. The inclusion of household production and caring costs increased the total cost to €945.7 million.ConclusionLost productivity costs due to cancer-related premature mortality are significant. The higher premature mortality cost in males than females reflects higher wages and rates of workforce participation. Productivity costs provide an alternative perspective on the cancer burden on society and may inform cancer control policy decisions.

Project description:BackgroundThe United Nations Sustainable Development Goals for 2030 include reducing premature mortality from noncommunicable diseases by one-third. Although previous modeling studies have predicted premature mortality from noncommunicable diseases, the predictions for cancer and its subcategories are less well understood in China.ObjectiveThe aim of this study was to project premature cancer mortality of 10 leading cancers in Hunan Province, China, based on various scenarios of risk factor control so as to establish the priority for future interventions.MethodsWe used data collected between 2009 and 2017 from the Hunan cancer registry annual report as empirical data for projections. The population-attributable fraction was used to disaggregate cancer deaths into parts attributable and unattributable to 10 risk factors: smoking, alcohol use, high BMI, diabetes, physical inactivity, low vegetable and fruit intake, high red meat intake, high salt intake, and high ambient fine particulate matter (PM2.5) levels. The unattributable deaths and the risk factors in the baseline scenario were projected using the proportional change model, assuming constant annual change rates through 2030. The comparative risk assessment theory was used in simulated scenarios to reflect how premature mortality would be affected if the targets for risk factor control were achieved by 2030.ResultsThe cancer burden in Hunan significantly increased during 2009-2017. If current trends for each risk factor continued to 2030, the total premature deaths from cancers in 2030 would increase to 97,787 in Hunan Province, and the premature mortality (9.74%) would be 44.47% higher than that in 2013 (6.74%). In the combined scenario where all risk factor control targets were achieved, 14.41% of premature cancer mortality among those aged 30-70 years would be avoided compared with the business-as-usual scenario in 2030. Reductions in the prevalence of diabetes, high BMI, ambient PM2.5 levels, and insufficient fruit intake played relatively important roles in decreasing cancer premature mortality. However, the one-third reduction goal would not be achieved for most cancers except gastric cancer.ConclusionsExisting targets on cancer-related risk factors may have important roles in cancer prevention and control. However, they are not sufficient to achieve the one-third reduction goal in premature cancer mortality in Hunan Province. More aggressive risk control targets should be adopted based on local conditions.

Dataset Information

Productivity losses associated with premature mortality due to cancer in Russia: A population-wide study covering 2001-2030.

Publications

Productivity losses associated with premature mortality due to cancer in Russia: A population-wide study covering 2001-2030.

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