Health Economics

Our services in health economics aim at providing decision makers with relevant information regarding the clinical, economic and humanistic aspects of health care interventions. These decision makers may be members of health authorities or guideline committees, health insurers, and health care providers, but may also be project teams in health care companies.

The health care intervention under investigation can be a single drug or biotechnology product, a medical device, diagnostic, surgical intervention or a multidisciplinary health care program. In the health economic research we collect, generate and aggregate evidence regarding the effectiveness, safety, costs and outcomes of the intervention.

At Pharmerit we can offer you many health economic services to fit your goals. We use state-of-the-art methodology and commit to international and local health economic guidelines.

Cost-effectiveness analysis

In cost-effectiveness analyses we investigate the relative benefits of one (or more) health interventions compared to a reference intervention, and set this off against the relative costs. This way we obtain insight in the expected value for money of the investigated intervention. The benefits of treatment can be expressed in monetary terms (cost-benefit analysis), life-years (cost-effectiveness analysis) or quality-adjusted life-years (cost-utility analysis). Example.

Reimbursement dossiers

Today, gaining market access often involves submitting health economic studies to health authorities and reimbursement committees. At Pharmerit we have an extensive track record in preparing global value dossiers and local reimbursement- and health economic dossiers in many countries in Europe and North-America. Our services are tailored to your needs, whether you need us to prepare a local dossier or to coordinate your international reimbursement strategy and dossier submission in multiple countries. Example.

Epidemiology & statistics

In health economic research we need epidemiological and statistical methods either as a tool to aggregate or extract available data for further modelling, or as a goal to perform the analyses that lead to health economic outcomes. Examples of methods that we often apply are meta-analyses, (meta) regression analyses, Bayesian statistics, and probabilistic sensitivity analyses. Example.

Modelling studies

Modelling is often a necessary tool to perform health economic research. Before we start building a model, we select the most appropriate model structure for the research question. We frequently apply established modelling methods such as decision trees, Markov models and Discrete Event Simulation modelling. However, we also develop flexible Individual Patients Sampling models to simulate complex disease processes and treatment interactions. Depending on the purpose of your project, we can embed a model in a user-friendly environment to make it suitable for dissemination and communication purposes. Example.

Methodology

At Pharmerit we do not only apply state-of-the-art methodology in our research, but we also make an effort to contribute to the development of new methodology in e.g. outcomes measurement, modelling methods, and uncertainty analyses. Our staff members have academic research backgrounds in relevant subjects as mathematics, econometric, pharmacey and life-sciences. Example.