title: [Developing and applying the Payback Framework to assess the socioeconomic impact of health research].
abstract: There is increasing pressure for assessments of the wider socioeconomic impacts of health research. Governments are making greater demands to justify the expenditure of public money. However, there is also a belief that assessing how the wider effects or benefits of health research arise should help to inform the management and organization of health research so as to increase future impacts. Since the mid- 1990s, Buxton and Hanney at the Health Economics Research Group, Brunel University, have been developing and applying the Payback Framework to assess the impacts of health research. Together with their colleagues, these researchers have applied this model in a series of studies to assess the payback from research programs in various fields (including diabetes, arthritis and cardiovascular disease) and in various countries (including the United Kingdom, The Netherlands, Ireland, Australia and Canada). Other teams of researchers have applied the Payback Framework in, for example, Spain and Hong Kong. The Payback Framework consists of two elements, the first being the multi-dimensional categorization of the benefits of health research, which covers five main categories ranging from traditional knowledge production and research training and targeting, to impacts on policy and product development through to health and economic gains. The second element is a logic model of how best to assess these impacts. Application of this framework can be resource intensive, but has provided illustrative 'good news' stories on the payback resulting from research and has helped to inform research management.
authors.affiliation: Health Economics Research Group, Brunel University, Reino Unido. martin.buxton@brunel.ac.uk
authors.forename: Martin J
authors.initials: MJ
authors.lastname: Buxton
authors.forename: Steve
authors.initials: S
authors.lastname: Hanney
mesh_terms: D003362:Cost-Benefit Analysis; D006302:Health Services Research; D015233:Models, Statistical; D012959:Socioeconomic Factors