To what extent is health and medical research funding associated with the burden of disease in Australia?
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Objective This study aimed to analyse the association of the National Health and Medical Research Council fund allocations and several measures of burden of disease in Australia, and compare it to similar studies in the United States and Canada.Methods A cross-sectional study comparing disease-specific funding in two time periods (1998-2001 and 2002-03) with data from the Australian Burden of Disease study on four measures of burden of disease (incidence, mortality, years of life lost and disability-adjusted life years in 1996). This association was measured by correlation coefficients. With the use of these measures as predictor variables in a regression analysis, predicted funding was calculated and compared with actual funding.Results The highest correlation coefficients (r = 0.68-0.75) were exhibited by the DALYs and years of life lost to disability and the relation was significant at p < 0.0001 (1998 to 2003). Based on DALYs, the top five under-funded categories (1998-2001) were intentional injuries, cardiovascular diseases, mental disorders, unintentional injuries and chronic respiratory diseases. The top five over-funded categories were infectious and parasitic diseases, nervous system and sense organ disorders, malignant neoplasms, endocrine and metabolic disorders and genitourinary diseases.Conclusions This study revealed a significant relation between NHMRC research funding and burden of disease measures and highlighted that comparison of actual and predicted funding based on different measures of disease can alter conclusions as to whether a disease is over- or under-funded.
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Historically, psychiatric research has been underfunded in comparison to public health impact (with the possible exception of AD).
“historically, psychiatric research has ben underfunded in comparison to public health impact (with the possible exception of AD). 141–144”
From Genetic architectures of psychiatric disorders: the emerging picture and its implications (2012) · cites this paper as [143]
Cites
(1996) · Cited by 6,884 · see citing works
The burden of disease and injury in Australia 2003
Begg, S. J., Vos, T., Barker, B. M., Stevenson, C., Stanley, L., & López, A. D. (2007) · Deakin Research Online (Deakin University) · Cited by 1,285 · see citing works
The burden of disease and injury in Australia
Mathers, C. D., Vos, T., & Stevenson, C. (2000) · Australian Health Review · doi:10.1071/ah000216 · Cited by 745 · see citing works
Burden of Disease—Implications for Future Research
Michaud, C. M. (2001) · JAMA · doi:10.1001/jama.285.5.535 · Cited by 594 · see citing works
The Relation between Funding by the National Institutes of Health and the Burden of Disease
Gross, C. P., Anderson, G. F., & Powe, N. R. (1999) · New England Journal of Medicine · doi:10.1056/nejm199906173402406 · Cited by 509 · see citing works
A critical examination of summary measures of population health.
Murray, C. J. L., Salomon, J. A., & Mathers, C. D. (2000) · Europe PMC (PubMed Central) · Cited by 378 · see citing works
Andrews, G., Sanderson, K. A., & Beard, J. (1998) · The British Journal of Psychiatry · doi:10.1192/bjp.173.2.123 · Cited by 218 · see citing works
Vos, T., & Mathers, C. D. (2000) · Europe PMC (PubMed Central) · doi:10.1590/s0042-96862000000400004 · Cited by 113 · see citing works
VARMUS, H. E. (1999) · New England Journal of Medicine · doi:10.1056/nejm199906173402411 · Cited by 57 · see citing works
Lamarre-Cliché, M., Castilloux, A. M., & LeLorier, J. (2001) · PubMed · Cited by 26 · see citing works
Investigating Australia's burden of disease
López, A. D. (2000) · The Medical Journal of Australia · doi:10.5694/j.1326-5377.2000.tb124118.x · Cited by 3 · see citing works
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Hay, S. I., Abajobir, A. A., Abate, K. H., Abbafati, C., Abbas, K. M., Abd-Allah, F., Abdulkader, R. S., Abdulle, A. M., Abebo, T. A., Abera, S. F., et al. (2017) · The Lancet · doi:10.1016/s0140-6736(17)32130-x · Cited by 2,083 · see citing works
Genetic architectures of psychiatric disorders: the emerging picture and its implications
Sullivan, P. F., Daly, M. J., & O'Donovan, M. (2012) · Nature Reviews Genetics · doi:10.1038/nrg3240 · Cited by 1,177 · see citing works
- Authors
- Aoun, S., Pennebaker, D., & Pascal, R.
- Corresponding author
- Aoun, S.
- ORCID
- Aoun, S.
- Venue
- Australian and New Zealand Journal of Public Health
- Publisher
- Elsevier BV
- Published
- 2004-02
- Volume
- 28
- Issue
- 1
- Pages
- 80-86
- ISSN
- 1326-0200 (ISSN-L)
- OpenAlex
- W2083350040
- Cited by
- 31
- References
- 11
- Citations by year
- 2025: 1 · 2024: 1 · 2023: 1 · 2022: 1 · 2021: 3 · 2019: 1 · 2018: 2 · 2017: 2 · 2016: 2 · 2015: 2 · 2014: 3 · 2012: 2
- FWCI
- 0.68
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Licence
- Locations
- Australian and New Zealand Journal of Public Health (publishedVersion)
- PubMed (publishedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Funders
- National Health and Medical Research Council
- Topics
- Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Health and Medical Research Impacts
- Health Sciences › Health Professions › General Health Professions › Global Health Care Issues
- Social Sciences › Economics, Econometrics and Finance › Economics and Econometrics › Health Systems, Economic Evaluations, Quality of Life
- Keywords
- health research funding, disease burden, disability-adjusted life years, years of life lost, National Health and Medical Research Council, research funding allocation, disease prioritization, Australia, United States, Canada
- MeSH terms
- Australia, Canada, Cross-Sectional Studies, Financing, Government, Persons with Disabilities, Humans, Mortality, Regression Analysis, Research Support as Topic, United States, Incidence, Cost of Illness, Quality-Adjusted Life Years, Biomedical Research
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