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Centre for Policy on Ageing | |
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Improving the efficiency and relevance of health technology assessment
— the role of iterative decision analytic modelling | | Author(s) | Elisabeth Fenwick, Karl Claxton, Mark Sculpher |
| Corporate Author | Centre for Health Economics, University of York; Department of Economics and Related Studies, University of York; Health Economics Research Centre, Institute of Health Sciences, University of Oxford |
| Publisher | University of York, York, 2000 |
| Pages | 39 pp ((Centre for Health Economics Discussion paper, 179) |
| Source | The Publications Office, Centre for Health Economics, University of York, York YO10 5DD. |
| Keywords | National Health Service ; Medical care ; Technology ; Econometrics ; Mathematical models. |
| Annotation | Decision making in health care involves two sets of related decisions: those concerning appropriate service provision based on existing information; and those concerned with whether to fund additional research to reduce uncertainty relating to the decision. A framework is necessary to unify these decisions and ensure that health technology assessment (HTA) is subject to the same evaluation of efficiency as service provision. A framework using Bayesian Value of Information (VOI) analysis is presented. The proposed framework is applied to the decision concerning the appropriate management of women patients with symptoms of urinary tract infection, which was the subject of a recent NHS HTA call for proposals. The authors conclude that the analysis can be used to identify the most appropriate research protocol, and to concentrate research on particular parameters where more precise estimates would be of most value. (RH). |
| Accession Number | CPA-000817006 B |
| Classmark | L4: LK: Y9: WE: 3LM |
Data © Centre for Policy on Ageing |
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| ...from the Ageinfo database published by Centre for Policy on Ageing. |
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