Strengthening and measuring research impact in global health: lessons from applying the FAIT framework
Abstract 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...
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Format: | Article |
Language: | English |
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BMC
2019-05-01
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Series: | Health Research Policy and Systems |
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Online Access: | http://link.springer.com/article/10.1186/s12961-019-0451-0 |
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author | Rebecca Dodd Shanthi Ramanathan Blake Angell David Peiris Rohina Joshi Andrew Searles Jacqui Webster |
author_facet | Rebecca Dodd Shanthi Ramanathan Blake Angell David Peiris Rohina Joshi Andrew Searles Jacqui Webster |
author_sort | Rebecca Dodd |
collection | DOAJ |
description | Abstract 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. |
first_indexed | 2024-12-14T12:24:32Z |
format | Article |
id | doaj.art-4f0747234bd64f309589ac5d1b54c2f1 |
institution | Directory Open Access Journal |
issn | 1478-4505 |
language | English |
last_indexed | 2024-12-14T12:24:32Z |
publishDate | 2019-05-01 |
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series | Health Research Policy and Systems |
spelling | doaj.art-4f0747234bd64f309589ac5d1b54c2f12022-12-21T23:01:22ZengBMCHealth Research Policy and Systems1478-45052019-05-0117111210.1186/s12961-019-0451-0Strengthening and measuring research impact in global health: lessons from applying the FAIT frameworkRebecca Dodd0Shanthi Ramanathan1Blake Angell2David Peiris3Rohina Joshi4Andrew Searles5Jacqui Webster6The George Institute for Global Health, University of New South WalesHunter Medical Research InstituteThe George Institute for Global Health, University of New South WalesThe George Institute for Global Health, University of New South WalesThe George Institute for Global Health, University of New South WalesHunter Medical Research InstituteThe George Institute for Global Health, University of New South WalesAbstract 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.http://link.springer.com/article/10.1186/s12961-019-0451-0Research impactTranslationEconomic impactLow-income countries |
spellingShingle | Rebecca Dodd Shanthi Ramanathan Blake Angell David Peiris Rohina Joshi Andrew Searles Jacqui Webster Strengthening and measuring research impact in global health: lessons from applying the FAIT framework Health Research Policy and Systems Research impact Translation Economic impact Low-income countries |
title | Strengthening and measuring research impact in global health: lessons from applying the FAIT framework |
title_full | Strengthening and measuring research impact in global health: lessons from applying the FAIT framework |
title_fullStr | Strengthening and measuring research impact in global health: lessons from applying the FAIT framework |
title_full_unstemmed | Strengthening and measuring research impact in global health: lessons from applying the FAIT framework |
title_short | Strengthening and measuring research impact in global health: lessons from applying the FAIT framework |
title_sort | strengthening and measuring research impact in global health lessons from applying the fait framework |
topic | Research impact Translation Economic impact Low-income countries |
url | http://link.springer.com/article/10.1186/s12961-019-0451-0 |
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