首页    期刊浏览 2024年11月23日 星期六
登录注册

文章基本信息

  • 标题:Strengthening and measuring research impact in global health: lessons from applying the FAIT framework
  • 本地全文:下载
  • 作者:Rebecca Dodd ; Shanthi Ramanathan ; Blake Angell
  • 期刊名称:Health Research Policy and Systems
  • 印刷版ISSN:1478-4505
  • 电子版ISSN:1478-4505
  • 出版年度:2019
  • 卷号:17
  • 期号:1
  • 页码:1-12
  • DOI:10.1186/s12961-019-0451-0
  • 出版社:BioMed Central
  • 摘要: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. 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. 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. 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.
  • 关键词:Research impact ; Translation ; Economic impact ; Low-income countries
国家哲学社会科学文献中心版权所有