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![]() Economic models involve the application of mathematical techniques and the synthesis of available information in order to simulate and predict what happens in the 'real world'. Models are often a crucial component of evaluating the potential for a health technology to deliver value for the health care budget. phmr consulting offers a variety of economic modelling services that can be used to inform the decision-making process at all stages of product development, and to support marketing activities. These services include:
Why Health Care Decision-Makers Use Economic Modelling Efficacy and safety data, generated in clinical trials to obtain registration of a new product or indication, are often insufficient to provide robust economic data. For example, clinical trials tend to be of short duration, with tightly controlled patient groups, and frequently use surrogate end points. Economic evaluations often need to consider longer timelines, less homogeneous patient groups, and patient-centered outcomes such as QALYs (Quality Adjusted Life Years) or life years gained. Consequently, there is often a gap between the data needed to show efficacy, and that needed to show cost-effectiveness. One way to bridge this gap and to make clinical data relevant to economic decisions is to use modelling to extrapolate from clinical trials to 'real world' outcomes. The Role of Economic Models in Gaining Market Access Economic models are now accepted as part of the market access process. Australia's Pharmaceutical Benefits Advisory committee (PBAC), for example, states, "frequently the randomised trials will provide insufficient information on which to base a judgment about the full clinical and economic performance of the proposed drug. In these circumstances (which are a matter of judgment), a modelled economic evaluation will be useful to the PBAC." (1) In England and Wales, NICE guidelines accept the use of modelling to "adjust efficacy data to reflect differences between efficacy and clinical benefits, demonstrate that results are generalizable, and extrapolate the long-term outcomes of treatment from short-term clinical trials." (2) Because 'real world' decisions around reimbursement or formulary listing often have to be taken with limited information and within a short time frame, economic models can help decision-makers by providing extrapolated data from existing information. Economic models provide a way to demonstrate:
Early Stage Decisions The assessment of cost-effectiveness can be conducted at a very early stage of the development process, based on a target profile or a series of scenarios. Information about potential cost-effectiveness can be used to inform "go/no-go" decisions even when information about a product is scarce. Companies can then proceed into clinical development with confidence that a successful programme will not only demonstrate safety and efficacy, but will also meet cost-effectiveness and reimbursement hurdles. Strategic Decisions During Development Models can help health technology companies set prices and make strategic decisions on issues such as product positioning. Models can allow a company to explore cost-effectiveness under a variety of scenarios, and to understand the consequences of strategic decisions on product reimbursement. Promotional Messages Often clinical trials do not collect all of the information needed to undertake an economic evaluation. Decision analytic models, however, allow companies to demonstrate the full range of benefits of a product. Such models can be used in reimbursement and market access applications, and can be published in high impact peer-reviewed journals to support promotional messages. Budget Impact Often health care payers are concerned about more than the efficacy of a new intervention. They want information about the likely impact of introducing a new product on total expenditure, or on service delivery. Budget impact modelling can help companies plan for these new product introductions. How phmr Consulting Can Help Early Stage Modelling At phmr consulting, we have developed a wide variety of economic models to estimate the minimum profile required for new product candidates, early in the drug development process. This type of information has helped many companies make strategic decisions and has influenced the choice of indications and profile for a variety of potential new chemical entities. Decision Analytic, Markov and Simulation Modelling Our team members have extensive experience building, analysing and using decision analytic models, Markov models and cost consequence models in support of negotiations with a variety of government, health care payer and provider agencies. Budget Impact Modelling Our team has also conducted budget impact modelling projects to help local and national health care decision-makers assess the financial impact of formulary and reimbursement decisions. |