Evidence map›Paper›PMID 27507300›Full record

ArticleHealth research policy and systems2016

An approach to measuring and encouraging research translation and research impact.

Andrew Searles, Chris Doran, John Attia, Darryl Knight, John Wiggers, Simon Deeming, Joerg Mattes, Brad Webb, Steve Hannan, Rod Ling and 3 more

Abstract read
In one paragraph

Article in Health research policy and systems, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 55 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
55citing papers in PubMed, 4 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

55 citing papers in PubMed, 4 syntheses or guidelines pooled it.

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  11. So what? Elevating the impact of implementation science.Implementation science communications · 2025
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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

13 authors.

Andrew SearlesHunter Medical Research Institute (HMRI) Lot 1, Kookaburra Circuit, New Lambton Heights, Newcastle, NSW, 2305, Australia. andrew.searles@hmri.org.au.
Chris DoranCentral Queensland University, Brisbane, 4000, Australia.
John AttiaHunter Medical Research Institute (HMRI) Lot 1, Kookaburra Circuit, New Lambton Heights, Newcastle, NSW, 2305, Australia.
Darryl KnightHunter Medical Research Institute (HMRI) Lot 1, Kookaburra Circuit, New Lambton Heights, Newcastle, NSW, 2305, Australia.
John WiggersHunter Medical Research Institute (HMRI) Lot 1, Kookaburra Circuit, New Lambton Heights, Newcastle, NSW, 2305, Australia.
Simon DeemingHunter Medical Research Institute (HMRI) Lot 1, Kookaburra Circuit, New Lambton Heights, Newcastle, NSW, 2305, Australia.
Joerg MattesExperimental & Translational Respiratory Medicine, Priority Research Centre for Asthma and Respiratory Diseases, Hunter Medical Research Institute & University of Newcastle, Newcastle, NSW, Australia.
Brad WebbHunter Medical Research Institute (HMRI) Lot 1, Kookaburra Circuit, New Lambton Heights, Newcastle, NSW, 2305, Australia.
Steve HannanThe University of Newcastle, University Drive, Callaghan, NSW, 2308, Australia.
Rod LingHunter Medical Research Institute (HMRI) Lot 1, Kookaburra Circuit, New Lambton Heights, Newcastle, NSW, 2305, Australia.
Kim EdmundsHunter Medical Research Institute (HMRI) Lot 1, Kookaburra Circuit, New Lambton Heights, Newcastle, NSW, 2305, Australia.
Penny ReevesHunter Medical Research Institute (HMRI) Lot 1, Kookaburra Circuit, New Lambton Heights, Newcastle, NSW, 2305, Australia.
Michael NilssonHunter Medical Research Institute (HMRI) Lot 1, Kookaburra Circuit, New Lambton Heights, Newcastle, NSW, 2305, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundResearch translation, particularly in the biomedical area, is often discussed but there are few methods that are routinely used to measure it or its impact. Of the impact measurement methods that are used, most aim to provide accountability - to measure and explain what was generated as a consequence of funding research. This case study reports on the development of a novel, conceptual framework that goes beyond measurement. The Framework To Assess the Impact from Translational health research, or FAIT, is a platform designed to prospectively measure and encourage research translation and research impact. A key assumption underpinning FAIT is that research translation is a prerequisite for research impact.

methodsThe research impact literature was mined to understand the range of existing frameworks and techniques employed to measure and encourage research translation and research impact. This review provided insights for the development of a FAIT prototype. A Steering Committee oversaw the project and provided the feedback that was used to refine FAIT.

resultsThe outcome of the case study was the conceptual framework, FAIT, which is based on a modified program logic model and a hybrid of three proven methodologies for measuring research impact, namely a modified Payback method, social return on investment, and case studies or narratives of the process by which research translates and generates impact.

conclusionAs funders increasingly seek to understand the return on their research investments, the routine measurement of research translation and research impact is likely to become mandatory rather than optional. Measurement of research impact on its own is insufficient. There should also be a mechanism attached to measurement that encourages research translation and impact - FAIT was designed for this task.

Indexed as

Diffusion of InnovationHumansProgram EvaluationTranslational Research, BiomedicalEvaluationOutcome measurementOutcome researchPerformance monitoring and feedbackResearch impactResearch translation

Identifiers

PMID27507300
PMCPMC4979128

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.