Results The technology assessment was unable to differentiate between the various drugs in terms of efficacy , and its economic model was ultimately driven by cost differences .
While the assessment concluded that the economic model " clearly identified an optimal treatment strategy " with first-line dexamphetamine , the NICE appraisal committee subsequently found it impossible to distinguish between the different strategies on grounds of cost-effectiveness .
Background Health technology assessment s ( HTAs ) by the National Institute for Health and Clinical Excellence ( NICE ) enjoy high levels of international attention .
The present analysis addresses NICE 's appraisal of methylpheni date , atomoxetine and dexamphetamine for attention-deficit/hyperactivity disorder ( ADHD ) in children and adolescents , published in March 2006 .
Principles of good practice for decision analytic modeling in health-care evaluation: report of the ISPOR Task Force on Good Research Practices--Modeling Studies.
OBJECTIVES Mathematical modeling is used widely in economic evaluations of pharmaceuticals and other health-care technologies . Users of models in government and the private sector need to be able to evaluate the quality of models according to scientific criteria of good practice . This report describes the consensus of a task force convened to provide modelers with guidelines for conducting and reporting modeling studies . METHODS The task force was appointed with the advice and consent of the Board of Directors of ISPOR . Members were experienced developers or users of models , worked in academia and industry , and came from several countries in North America and Europe . The task force met on three occasions , conducted frequent correspondence and exchanges of drafts by electronic mail , and solicited comments on three drafts from a core group of external review ers and more broadly from the membership of ISPOR . RESULTS Criteria for assessing the quality of models fell into three areas : model structure , data used as inputs to models , and model validation . Several major themes cut across these areas . Models and their results should be represented as aids to decision making , not as statements of scientific fact ; therefore , it is inappropriate to dem and that models be vali date d prospect ively before use . However , model assumptions regarding causal structure and parameter estimates should be continually assessed against data , and models should be revised accordingly . Structural assumptions and parameter estimates should be reported clearly and explicitly , and opportunities for users to appreciate the conditional relationship between inputs and outputs should be provided through sensitivity analyses . CONCLUSIONS Model-based evaluations are a valuable re source for health-care decision makers . It is the responsibility of model developers to conduct modeling studies according to the best practicable st and ards of quality and to communicate results with adequate disclosure of assumptions and with the caveat that conclusions are conditional upon the assumptions and data on which the model is built
Results The technology assessment was unable to differentiate between the various drugs in terms of efficacy , and its economic model was ultimately driven by cost differences .
While the assessment concluded that the economic model " clearly identified an optimal treatment strategy " with first-line dexamphetamine , the NICE appraisal committee subsequently found it impossible to distinguish between the different strategies on grounds of cost-effectiveness .
Background Health technology assessment s ( HTAs ) by the National Institute for Health and Clinical Excellence ( NICE ) enjoy high levels of international attention .
The present analysis addresses NICE 's appraisal of methylpheni date , atomoxetine and dexamphetamine for attention-deficit/hyperactivity disorder ( ADHD ) in children and adolescents , published in March 2006 .