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Evaluating the Effect of Innovation on Burden of Disease in Different Countries

Rostami, Saleh | 2023

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  1. Type of Document: M.Sc. Thesis
  2. Language: Farsi
  3. Document No: 56304 (44)
  4. University: Sharif University of Technology
  5. Department: Management and Economics
  6. Advisor(s): Miremadi, Iman; Saleh Farazi, Mohammad
  7. Abstract:
  8. In this comprehensive study, we explore the influence of general health innovation outputs on the burden of diseases across 70 nations spanning two decades, from 2000 to 2019, marking the first investigation of its kind. Our investigation takes into account associations among health-related patents, scholarly publications pertaining to health, and disability-adjusted life years (DALYs), a measure used to assess overall disease burden. Employing a robust fixed effect panel data model, our findings illuminate the notable impact health-related publications exert in mitigating disease burden universally across all countries examined. However, we did not find a similar association between patent grants in health-related fields and disease burden reduction in non-OECD nations. This could be largely attributed to their relatively weak intellectual property rights infrastructure and their limited capacity to cultivate innovation in medical sectors. Our research echoes previous studies in finding that while health innovations do not appear to significantly lessen disease burden in adult populations, they demonstrate a significant positive impact in reducing DALYs in other age groups. A closer look at the data also revealed an interesting discrepancy. Medical innovations have traditionally overlooked illnesses and diseases that primarily cause disability, and their effects appear to be significant only in diminishing instances of morbidity, not disability. In light of our findings, we strongly advise governments to strategically allocate resources in the health innovation sector, emphasizing the need for innovation that targets the underlying causes of disability. By doing so, we believe that there could be a marked improvement in overall disease burden and the quality of life for numerous populations
  9. Keywords:
  10. Panel Data Estimation ; Disability-Adjusted Life Years (DALYs) ; Health Innovation ; General Innovation Output ; Disease Burden Index

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