A growing body of recent work has identified several problems with economic
evaluations undertaken alongside controlled trials that can have potential
ly serious impacts on the ability of decision makers to draw valid conclusi
ons. At the same time, the use of cost-effectiveness models has been drawn
into question, due to the alleged arbitrary nature of their construction. T
his has led researchers to try and identify ways of improving the quality o
f cost-effectiveness models through identifying 'best practice', producing
guidelines for peer review and identifying tests of validity.
This paper investigates the issue of testing the validity of cost-effective
ness models or, perhaps more appropriately, whether it is possible to objec
tively measure the quality of a cost-effectiveness model. A review of the l
iterature shows that there is much confusion over the different aspects of
modelling that should be assessed in respect to model quality, and how this
should be done.
We develop a framework for assessing model quality in terms of: (i) the str
ucture of the model; (ii) the inputs of the model; (iii) the results of the
model; and (iv) the value of the model to the decision maker. Quality asse
ssment is investigated within this framework, and it is argued that it is d
oubtful that a set of objective tests of validity will ever be produced, or
indeed that such an approach would be desirable. The lack of any clearly d
efinable and objective tests of validity means that the other parts of the
evaluation process need to be given greater emphasis. Quality assurance for
ms a small part of a broader process and is best implemented in the form of
good practice guidelines. A set of key guidelines are presented.