Objectives: To review health economic models of population screening for abdominal aortic aneurysm (AAA) among elderly males and assess their credibility for informing decision-making.Methods: A literature review identi¢ed health economic models of ultrasound screening for AAA. For each model focussing on population screening in elderly males, model structure and input parameter values were critically appraised using published good practice guidelines for decision analytic models.Results: Twelve models published between 1989 and 2003 were identi¢ed. Converting costs to a common currency and base year, substantial variability in cost-e¡ectiveness results were revealed. Appraisals carried out for the nine models focusing on population screening showed di¡erences in their complexity, with the simpler models generating results most favourable to screening. Eight of the nine models incorporated two or more simplifying structural assumptions favouring screening; uncertainty surrounding these assumptions was not investigated by any model. Quality assessments on a small number of parameters revealed input values varied between models, methods used to identify and incorporate input data were often not described, and few sensitivity analyses were reported.Conclusions: Large variation exists in the cost-e¡ectiveness results generated by AAA screening models. The substantial number of factors potentially contributing to such disparities means that reconciliation of model results is impossible. In addition, poor reporting of methods makes it di⁄cult to identify the most plausible and thus most useful model of those developed.
IntroductionIn the UK, decision analytic models are increasingly used to estimate the costs and outcomes of alternative health care interventions. Cost-effectiveness data presented to the National Institute for Health and Clinical Excellence (NICE), the body responsible for appraising health technologies on behalf of the UK National Health Service (NHS), are largely model based. 1 The appeal of decision modelling is its versatility. Its uses include extrapolation beyond trial outcomes, evidence synthesis, generalization of study results to alternative settings and identification of future research priorities. 2 However, concerns about decision models (notably a lack of methodological rigour and transparency) have been raised and policy-makers still regard decision model findings with caution.Population ultrasound screening for abdominal aortic aneurysm (AAA) in elderly males provides a good example. The effectiveness and cost-effectiveness of a national screening programme for AAA has been debated in many countries over many years.3,4 First attempts around 1990 to determine the likely costeffectiveness of a screening policy involved some simple modelling studies. 5,6 By 2000, the number of models had increased substantially. A large pragmatic randomized trial of AAA screening in the UK provided the first trial-based estimates of effectiveness and resourceuse in 2002.7 But with follow-up limited to four ...