- Title
- Strengthening and measuring research impact in global health: lessons from applying the FAIT framework
- Creator
- Dodd, Rebecca; Ramanathan, Shanthi; Angell, Blake; Peiris, David; Joshi, Rohina; Searles, Andrew; Webster, Jacqui
- Relation
- Health Research Policy and Systems Vol. 17, Issue 1, no. 48
- Publisher Link
- http://dx.doi.org/10.1186/s12961-019-0451-0
- Publisher
- BioMed Central (BMC)
- Resource Type
- journal article
- Date
- 2019
- Description
- Background: To date, efforts to measure impact have largely focused on health research in high-income countries, reflecting where the majority of health research funding is spent. Nevertheless, there is a growing body of health and medical research being undertaken in low- and middle-income countries (LMICs), supported by both development aid and established research funders. The Framework to Assess the Impact of Translational health research (FAIT) combines three approaches to measuring research impact (Payback, economic assessment and case study narrative). Its aim is to strengthen the focus on translation and impact measurement in health research. FAIT has been used by several Australian research initiatives; however, it has not been used in LMICs. Our aim was to apply FAIT in an LMIC context and evaluate its utility. Methods: We retrospectively applied all three FAIT methods to two LMIC studies using available data, supplemented with group discussion and further economic analyses. Results were presented in a scorecard format. Results: FAIT helped clarify pathways of impact for the projects and provided new knowledge on areas of impact in several domains, including capacity-building for research, policy development and economic impact. However, there were constraints, particularly associated with calculating the return on investment in the LMIC context. The case study narrative provided a layperson's summary of the research that helped to explain outcomes and succinctly communicate lessons learnt. Conclusion: Use of FAIT to assess the impact of LMIC research was both feasible and useful. We make recommendations related to prospective use, identification of metrics to support use of the Payback framework, and simplification of the economic assessment, which may facilitate further application in LMIC environments.
- Subject
- research impact; translation; economic impact; low-income countries
- Identifier
- http://hdl.handle.net/1959.13/1456113
- Identifier
- uon:45178
- Identifier
- ISSN:1478-4505
- Rights
- This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
- Language
- eng
- Full Text
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