Reviewing the evidence used 2010 KALTENTHALER.pdf (53.86 kB)
Reviewing the evidence used in cost effectiveness models in health technology assessment: a qualitative investigation of current concerns
poster
posted on 2020-02-25, 10:16 authored by Eva KaltenthalerEva Kaltenthaler, Paul TappendenPaul Tappenden, Suzanne PaisleyINTRODUCTION
Health technology assessment (HTA) reports involve the
development of a cost-effectiveness model in addition to a
systematic review of the clinical effectiveness evidence. The
purpose of modelling is to draw together all relevant evidence
and bring this to bear on the decision problem. By its very
nature, the development of the economic model requires
additional information beyond clinical efficacy to inform its
parameters. The way in which this is done has a fundamental
impact on the results of the model and ultimately the decision
outcome. Whilst there are accepted methods for reviewing
efficacy within the framework of a systematic review the same
is not true for the scope of evidence required for models. A
systematic approach is required but it is unclear exactly what
that means.
Several issues need to be considered when reviewing evidence
to use in populating cost-effectiveness models. Where timelines
are stringent, rapid methods are needed. At the same time the
approach needs to be transparent, reproducible, and systematic
with precautions for minimising bias. Multiple sources of
evidence will be required including: randomised controlled trials
and other clinical studies, registry databases, elicitation of
expert clinical judgement, industry submissions, routine costing
datasets, health valuation studies, grey literature and other
sources. Some of the issues around reviewing for model
parameters have been highlighted in detail,1,2,3,4 yet there
remains very little guidance in the literature with regard to best
practice in this area. This study used qualitative methods to
explore these issues more fully.
History
Ethics
- There is no personal data or any that requires ethical approval
Policy
- The data complies with the institution and funders' policies on access and sharing
Sharing and access restrictions
- The data can be shared openly
Data description
- The file formats are open or commonly used
Methodology, headings and units
- Headings and units are explained in the files