Evidence map›Paper›PMID 31060617›Full record

ArticleHealth research policy and systems2019

Strengthening and measuring research impact in global health: lessons from applying the FAIT framework.

Rebecca Dodd, Shanthi Ramanathan, Blake Angell, David Peiris, Rohina Joshi, Andrew Searles, Jacqui Webster

Abstract readEvaluation Study
In one paragraph

Article in Health research policy and systems, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

19 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Co-Production, Co-Creation and Co-Design in Primary Health Care: A Scoping Review of Design, Implementation, Impact and Sustainability.Health expectations : an international journal of public participation in health care and health policy · 2025
    Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Review
  15. Barriers, Enablers, and Perceptions on Dietary Salt Reduction in the Out-of-Home Sectors: A Scoping Review.International journal of environmental research and public health · 2021
    Article
  16. Article
  17. Article
  18. Article
  19. Understanding the Impact of Integrated Care.International journal of integrated care
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Rebecca DoddThe George Institute for Global Health, University of New South Wales, 1 King Street, Newtown, Sydney, 2042, Australia. rdodd@georgeinstitute.org.au.ORCID http://orcid.org/0000-0003-3469-8999
Shanthi RamanathanHunter Medical Research Institute, Locked Bag 1000, New Lambton, NSW, 2305, Australia.
Blake AngellThe George Institute for Global Health, University of New South Wales, 1 King Street, Newtown, Sydney, 2042, Australia.
David PeirisThe George Institute for Global Health, University of New South Wales, 1 King Street, Newtown, Sydney, 2042, Australia.
Rohina JoshiThe George Institute for Global Health, University of New South Wales, 1 King Street, Newtown, Sydney, 2042, Australia.
Andrew SearlesHunter Medical Research Institute, Locked Bag 1000, New Lambton, NSW, 2305, Australia.
Jacqui WebsterThe George Institute for Global Health, University of New South Wales, 1 King Street, Newtown, Sydney, 2042, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundTo 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.

methodsWe 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.

resultsFAIT 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.

conclusionUse 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.

Indexed as

Developing CountriesEvaluation Studies as TopicGlobal HealthTranslational Research, BiomedicalCapacity BuildingCost-Benefit AnalysisHealth PolicyHumansPolicy MakingProgram EvaluationEconomic impactLow-income countriesResearch impactTranslation

Identifiers

PMID31060617
PMCPMC6501392

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.