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Economic evaluation and modelling - Economic evaluation and modelling methods

Economic evaluation is a way of understanding if a policy or intervention represents value for money. Economic evaluations are undertaken in different ways depending on the context and decision they are looking to inform. However, sometimes ‘building blocks’ of different methods are the same; for example, cost savings, quality-adjusted life years (QALYs), and intervention costs may be combined to produce a cost-utility analysis or a cost-benefit analysis.

This page will briefly cover the main methods which are cost effectiveness, cost utility, cost benefit, cost consequence and cost-minimisation analysis.

Cost effective analysis

Compares the costs of alternative procedures, services or interventions with a treatment’s common therapeutic goal, expressed in natural units (e.g. improvement in blood pressure or cholesterol level).

An incremental cost-effectiveness ratio (ICER) is used in this method. An ICER calculates the difference in costs between one intervention and an alternative, divided by the difference in outcomes.

Cost utility analysis

This method is an extension of cost effectiveness analysis but uses standard units; quality adjusted life years (QALYs) or disability adjusted life years (DALYs).

DALYs and QALYs are roughly speaking, the reciprocal of each other; we talk about cost per QALY gained, or cost per DALY saved/prevented. These units account for health losses from medical conditions (morbidity) and length of life (mortality) and allow policymakers to compare the value of different types of health interventions, and decide which ones are most cost-effective for a given budget.

Cost benefit analysis

This method places monetary values on both costs and outcomes and ultimately aims to answer whether the cost is ‘worth’ the benefit.

In evaluations of health care services or procedures, assigning monetary values makes it possible to determine whether a service or procedure provides an overall benefit to society if its total benefits exceed its costs.

Benefits in this method may be valued using the following approaches:

    • A human capital approach, an approach that values benefit in terms of productivity gains;

    • Or by individual’s preferences using willingness to pay or willingness to accept methods.

Cost benefit analysis is often used prospectively by Governments in impact assessments. It also has some similarities with social cost benefit analysis or social return on investment, which often take a broader economic perspective and value more non- financial outcomes.

Find out more about social value in public health.

Cost consequence analysis

Otherwise known as an impact inventory, compares cost with a disaggregated set of outcomes.  For example, when evaluating smoking cessation services, a cost consequence analysis might include the amount of prevented lung cancer cases, productivity gains, savings on cleaning up litter, and fires prevented. This level of information is useful but puts the onus on the decision maker to decide whether the costs are worth the investment. It can be used as a step towards producing a cost benefit analysis, where the outcomes would have financial values placed on them.

Cost minimisation analysis

This method is a form of economic evaluation used when an intervention or service and its alternative (e.g. usual care or current practice) achieve outcomes that are the same. Under these circumstances, cost-minimisation analysis aims to identify the least costly option. However, in practice it is difficult to find interventions or services with the same outcomes, and there is often uncertainty around the outcome measure of choice. It is most useful for generic drugs, where the outcomes may be expected to be identical to the branded alternatives.

Modelling

Modelling is when data is combined from different sources, to fill knowledge gaps or to project future outcomes. Most economic evaluations include modelling. The main types of models used in economic evaluations include:

  • Decision trees;
  • Markov chain models;
  • Microsimulations (or individual level models);
  • Discrete event simulations.

Model types and structures may vary based on the decision question, data available and the time and skillset of the people creating the model. For example, with infectious diseases, economic models may be combined with infectious disease models like SEIR (susceptible, exposed, infected, recovered). Sensitivity and scenario analyses are often tested on the results of a model to assess how sensitive the results are to uncertainty in the model assumptions.

Page last reviewed: 10th December 2025