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Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/14798

Title: Calculating an intervention's (cost-)effectiveness for the real-world target population: The potential of combining strengths of both RCTs and observational data
Authors: Neyt, Mattias
Cleemput, Irina
Thiry, Nancy
De Laet, Chris
Issue Date: 2012
Publisher: ELSEVIER IRELAND LTD
Citation: HEALTH POLICY, 106 (2), p. 207-210
Abstract: Economic evaluations most often use results from randomised controlled trials (RCTs) to model effectiveness. Inconsiderate application of the absolute treatment effect from RCTs may result in unrealistic estimates of an intervention's benefit for the real-world target population. The baseline risk of events in this target population may differ significantly from the baseline risk in the RCT population. An approach to handle this problem is to combine observational data with evidence from RCTs. Reliable administrative or register data can provide an estimate of the real-world baseline risks. In combination with the relative treatment effect from well-performed RCTs this results in an estimate of the absolute benefit for the relevant target population. Applying this approach, one must remain cautious about the validity of the assumption of a constant relative treatment effect. (C) 2012 Elsevier Ireland Ltd. All rights reserved.
Notes: [Neyt, Mattias; Cleemput, Irina; Thiry, Nancy; De Laet, Chris] Belgian Hlth Care Knowledge Ctr KCE, Brussels, Belgium.
URI: http://hdl.handle.net/1942/14798
DOI: 10.1016/j.healthpol.2012.04.014
ISI #: 000305671300013
ISSN: 0168-8510
Category: A1
Type: Journal Contribution
Appears in Collections: Research publications

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