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The burden of cancer in emerging economies: Productivity loss as an alternative perspective Alison Pearce, Paul Hanly, Linda Sharp, Isabelle Soerjomataram ISPOR 2015 Cancer in emerging economies Cancer deaths Cancer diagnoses Developed


  1. The burden of cancer in emerging economies: Productivity loss as an alternative perspective Alison Pearce, Paul Hanly, Linda Sharp, Isabelle Soerjomataram ISPOR 2015

  2. Cancer in emerging economies Cancer deaths Cancer diagnoses Developed Developed countries Developing countries 36% Developing countries 46% countries 54% 64%

  3. BRICS countries World’s World’s World’s Population GDP Land area

  4. Burden of cancer Everyone’s work contributes to the economy, and not working represents a loss of this contribution to society

  5. Aim To estimate the value of lost productivity due to cancer-related premature mortality in Brazil, Russia, India, China and South Africa (BRICS) in 2012

  6. Methods & Data • Incidence-based, human capital approach • GLOBOCAN data  Cancer mortality rates • OECD & ILO data  Workforce participation & unemployment  Wages & future wage growth  Retirement ages • Local currency calculations converted to USD using PPP and inflation to 2012  3% discounting

  7. Demographic inputs Population Cancer Life (millions) deaths expectancy Brazil 201 222,505 73.8 China 1,357 2,194,746 75.3 India 1,211 673,098 66.4 Russia 144 294,522 68.0 South Africa 52 46,953 57.0

  8. Wage inputs Monthly wage Wage (USD) growth rate Brazil $1,069 2.0% China $172 3.7% India $415 4.2% Russia $7,100 2.4% South Africa $2,631 2.8%

  9. Workforce inputs Gender Participation Unemployment Retire (eg 40-45) (eg 40-45) age Male 93.56 2.24 65 Brazil Female 71.44 4.83 60 Male 96.50 1.87 60 China Female 84.82 2.60 50 Male 98.10 1.12 60 India Female 37.10 1.35 58 Male 94.23 4.07 58 Russia Female 91.24 3.47 55 Male 85.45 15.96 60 South Africa Female 67.07 17.24 60

  10. Deaths & YPLL Deaths & Years of Productive Life Lost 600 Deaths (1,000s) 500 YPLL (10,000s) 400 300 200 100 0 Male Female Male Female Male Female Male Female Male Female Brazil China India Russia Sth Africa

  11. Total cost & cost per death Total cost and cost per death $25 $100,000 Billions $20 $80,000 $15 $60,000 $10 $40,000 $5 $20,000 $0 $0 Male Female Male Female Male Female Male Female Male Female Brazil China India Russia Sth Africa Total Cost Cost per death

  12. Results by cancer 100% Brain, nervous system Prostate 80% Cervix uteri Breast 60% Melanoma of skin Lung 40% Liver 20% Colorectum Stomach 0% Oesophagus Brazil China India Russia South Africa

  13. Sensitivity Analyses • Divide Chinese data by urban and rural • Increase workforce participation in India • Increase retirement ages in China & Russia • Changing growth rates & discounting No major changes to the findings

  14. Limitations • Concerns about equity with the Human Capital Approach • Lack of data • Assumptions around employment (informal economies and household production) • But… valuing cancer related lost productivity can provide policy makers with an additional perspective when identifying priorities for cancer prevention and control

  15. Implications • Prevention activities are important, and need to extend beyond tobacco control • Earlier detection and improved treatment availability to reduce mortality may be economically efficient • Potential increase in cancer burden through ageing, urbanisation and westernisation

  16. Acknowledgements • International collaborators: Freddie Bray, Prakash Gupta, You-Lin Qiao, Freddy Sitas, Anton Barchuk, Marianna de Camargo Cancela • COST Action IS1211 CANWON funded a Short Term Scientific Mission for Alison Pearce, to IARC, to establish this project • Alison Pearce is funded by an HRB ICE Award • The NCRI is funded by the Department of Health

  17. Contacts Alison Pearce ICE Post-doctoral Research Fellow National Cancer Registry Ireland a.pearce@ncri.ie @aliepea

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