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Assessing the costs and benefits of medical research: The diabetic retinopathy study

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  • Drummond, Michael F.
  • Davies, Linda M.
  • Ferris, Frederick L.

Abstract

Significant amounts of scarce resources are devoted to medical research, but there have been few attempts to assess whether the benefits to society of these investments exceed the costs. A method for undertaking such an assessment has been developed and applied retrospectively to the Diabetic Retinopathy Study, a major clinical trial funded by the National Eye Institute from 1972-1981. It was estimated that the trial, which cost $10.5 million, generated a net saving of $2816 million to society ($231 million when the costs of lost production are excluded) (1982 prices) and a gain to patients of 279,000 vision years. This approach could be applied prospectively in considering priorities for medical research, in conjunction with traditional criteria such as the scientific merit of the proposal and the capabilities of the investigators. The key factors affecting the economic returns from medical research are the prevalence, incidence and economic burden of the disease in question, the costs and effectiveness of the medical intervention concerned, the likely impact of the clinical trial on clinical practice and the likely timespan of benefits from knowledge obtained during the trial.

Suggested Citation

  • Drummond, Michael F. & Davies, Linda M. & Ferris, Frederick L., 1992. "Assessing the costs and benefits of medical research: The diabetic retinopathy study," Social Science & Medicine, Elsevier, vol. 34(9), pages 973-981, May.
  • Handle: RePEc:eee:socmed:v:34:y:1992:i:9:p:973-981
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    Citations

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    Cited by:

    1. Karnon, Jonathan, 2002. "Planning the efficient allocation of research funds: an adapted application of a non-parametric Bayesian value of information analysis," Health Policy, Elsevier, vol. 61(3), pages 329-347, September.
    2. Joanna Thorn & Joanna Coast & Lazaros Andronis, 2016. "Interpretation of the Expected Value of Perfect Information and Research Recommendations," Medical Decision Making, , vol. 36(3), pages 285-295, April.
    3. Sassi, Franco, 2003. "Setting priorities for the evaluation of health interventions: when theory does not meet practice," Health Policy, Elsevier, vol. 63(2), pages 141-154, February.
    4. Elisabeth Fenwick & Karl Claxton & Mark Sculpher, 2008. "The Value of Implementation and the Value of Information: Combined and Uneven Development," Medical Decision Making, , vol. 28(1), pages 21-32, January.
    5. Rachael L. Fleurence, 2007. "Setting priorities for research: a practical application of ‘payback’ and expected value of information," Health Economics, John Wiley & Sons, Ltd., vol. 16(12), pages 1345-1357, December.
    6. Michael Drummond & Bernie O'Brienm, 1993. "Clinical importance, statistical significance and the assessment of economic and quality‐of‐life outcomes," Health Economics, John Wiley & Sons, Ltd., vol. 2(3), pages 205-212, October.
    7. Lazaros Andronis & Lucinda J. Billingham & Stirling Bryan & Nicholas D. James & Pelham M. Barton, 2016. "A Practical Application of Value of Information and Prospective Payback of Research to Prioritize Evaluative Research," Medical Decision Making, , vol. 36(3), pages 321-334, April.
    8. Linda Davies & Mike Drummond & Panos Papanikoloau, 1999. "Prioritising investments in health technology assessment: can we assess the potential value for money?," Working Papers 170chedp, Centre for Health Economics, University of York.
    9. David Cohen & Mirella F Longo & John Williams & Wai‐yee Cheung & Hayley Hutchings & I.T. Russell, 2003. "Estimating the marginal value of ‘better’ research output: ‘designed’ versus ‘routine’ data in randomised controlled trials," Health Economics, John Wiley & Sons, Ltd., vol. 12(11), pages 959-974, November.
    10. Hanney, Steve & Mugford, Miranda & Grant, Jonathan & Buxton, Martin, 2005. "Assessing the benefits of health research: lessons from research into the use of antenatal corticosteroids for the prevention of neonatal respiratory distress syndrome," Social Science & Medicine, Elsevier, vol. 60(5), pages 937-947, March.
    11. Fleurence, Rachael L. & Torgerson, David J., 2004. "Setting priorities for research," Health Policy, Elsevier, vol. 69(1), pages 1-10, July.
    12. Lazaros Andronis & Pelham M. Barton, 2016. "Adjusting Estimates of the Expected Value of Information for Implementation," Medical Decision Making, , vol. 36(3), pages 296-307, April.
    13. Rachael L. Fleurence, 2007. "Setting priorities for research: a practical application of 'payback' and expected value of information," Health Economics, John Wiley & Sons, Ltd., vol. 16(12), pages 1345-1357.

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