Journal article
Use of expert knowledge elicitation to estimate parameters in health economic decision models
D Hadorn, G Kvizhinadze, L Collinson, T Blakely
International Journal of Technology Assessment in Health Care | CAMBRIDGE UNIV PRESS | Published : 2014
Abstract
Objectives: The aim of this study was to determine the prevalence and methods of expert knowledge elicitation (EKE) for specifying input parameters in health economic decision models (HEDM). Methods: We created two samples using the National Health System Economic Evaluations Database: (1) 100 randomly selected HEDM studies to determine prevalence of EKE and (2) sixty studies using a formal EKE process to determine methods used. Results: Fifty-seven (57 percent) of the random sample included at least one EKE-derived parameter. Of these, six (10 percent) used a formal expert process. Thirty-four studies from our second sample of sixty studies (57 percent) described at least one aspect of the ..
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Awarded by Health Research Council of New Zealand
Funding Acknowledgements
The Burden of Disease Epidemiology, Equity and Cost Effectiveness Programme (BODE<SUP>3</SUP>) receives funding support from the Health Research Council of New Zealand (10/248). The authors have no conflicts of interest. We thank other BODE3 team colleagues for comments and contributions to early versions of this work, in particular Nick Wilson and Rachel Foster-Russell.