Decision-analytic models are increasingly used to inform health policy decisions on adoption and specification of large-scale screening programmes, and to establish the rationale for further scientific inquiries into the effectiveness and cost-effectiveness of alternative screening strategies. While recent years have witnessed considerable methodological advancement in analytical techniques for handling uncertainty in decision-analytic models, the measurement and valuation of health benefits in terms of quality-adjusted life years (QALYs) remains an area of contention, particularly in specific populations such as children. This thesis aims to advance both areas in the context of modelled evaluations of newborn screening programmes.
| Identifer | oai:union.ndltd.org:bl.uk/oai:ethos.bl.uk:495819 |
| Date | January 2009 |
| Creators | Griebsch, Ingolf |
| Publisher | University of Bristol |
| Source Sets | Ethos UK |
| Detected Language | English |
| Type | Electronic Thesis or Dissertation |
Page generated in 0.0015 seconds