Burden of disease, research funding and innovation in the UK: Do new health technologies reflect research inputs and need?
| Autor: | Sue Simpson, Andrew Stevens, Derek J Ward, Orsolina I Martino, Claire Packer |
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| Rok vydání: | 2013 |
| Předmět: |
Burden of disease
Economic growth Public economics Emerging technologies Research Health Policy Biomedical Technology Public Health Environmental and Occupational Health Health technology United Kingdom Quality-adjusted life year Cost of Illness Cost of illness Humans Quality-Adjusted Life Years Business Biomedical technology Horizon scanning Disease burden Retrospective Studies |
| Zdroj: | Journal of Health Services Research & Policy. 18:7-13 |
| ISSN: | 1758-1060 1355-8196 |
| DOI: | 10.1177/1355819613476015 |
| Popis: | Objectives New and emerging health technologies (innovation outputs) do not always reflect conditions representing the greatest disease burden. We examine the role of research and development (R&D) funding in this relationship, considering whether areas with fewer innovative outputs receive an appropriate share of funding relative to their disease burden. Methods We report a retrospective observational study, comparing burden of disease with R&D funding and innovation output. UK disability-adjusted life years (DALYs) and deaths came from the World Health Organization (WHO) 2004 Global Burden of Disease estimates; funding estimates from the UK Clinical Research Collaboration’s 2006 Health Research Analysis; and innovation output was estimated by the number of new and emerging technologies reported by the National Institute for Health Research (NIHR) Horizon Scanning Centre between 2000 and 2009. Results Disease areas representing the biggest burden were generally associated with the most funding and innovation output; cancer, neuropsychiatric conditions and cardiovascular disease together comprised approximately two-thirds of DALYs, funding and reported technologies. Compared with DALYs, funding and technologies were disproportionately high for cancer, and technologies alone were disproportionately high for musculoskeletal conditions and endocrine/metabolic diseases. Neuropsychiatric conditions had comparatively few technologies compared to both DALYs and funding. The relationship between DALYs and innovation output appeared to be mediated by R&D funding. Conclusions The relationship between burden of disease and new and emerging health technologies for different disease areas is partly dependent on the associated level of R&D funding (input). Discrepancies among key groups may reflect differential focus of research funding across disease areas. |
| Databáze: | OpenAIRE |
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