Health policies and data

A comparative analysis of health forecasting methods

 

Concerns about health care expenditure growth and its long-term sustainability have risen to the top of the policy agenda in many OECD countries. As continued growth in spending places pressure on government budgets, health services provision and patients’ personal finances, policy makers have launched forecasting projects to support policy planning. This comparative analysis reviewed 25 health care expenditure forecasting models that were developed for policy analysis by OECD member countries and other international organisations. The study aims to identify good practices, increase transparency and contribute to improving future forecasting work.

Discussion

The landscape for health forecasting models is dynamic and evolving. Advances in computing and in detailed health data are opening up new possibilities for the generation of helpful decision-support tools. The review of models highlights emerging systems of models where different modelling approaches are designed to work together coherently. In this way, techniques with different strengths are amalgamated and a broader range of policy questions may be explored. Through the OECD, there is an opportunity for countries to benefit from the lessons learned from comparing forecasting methods across countries to develop and implement an international decision-support platform. Advantages include international comparability of expenditure forecast, through the standardisation of model structure, assumptions, and data; the ability to test and compare the potential results of policy reforms; and the ability to address emerging global issues related to international movement of patients, personnel, services and capital.

Contact us 

Jillian Oderkirk: jillian.oderkirk@oecd.org