Literature DB >> 26004515

A randomized trial of fellowships for early career researchers finds a high reliability in funding decisions.

Philip Clarke1, Danielle Herbert2, Nick Graves2, Adrian G Barnett3.   

Abstract

OBJECTIVES: Funding for early career researchers in Australia's largest medical research funding scheme is determined by a competitive peer-review process using a panel of four reviewers. The purpose of this experiment was to appraise the reliability of funding by duplicating applications that were considered by separate grant review panels. STUDY DESIGN AND METHODS: Sixty duplicate applications were considered by two independent grant review panels that were awarding funding for Australia's National Health and Medical Research Council. Panel members were blinded to which applications were included in the experiment and to whether it was the original or duplicate application. Scores were compared across panels using Bland-Altman plots to determine measures of agreement, including whether agreement would have impacted on actual funding.
RESULTS: Twenty-three percent of the applicants were funded by both panels and 60 percent were not funded by both, giving an overall agreement of 83 percent [95% confidence interval (CI): 73%, 92%]. The chance-adjusted agreement was 0.75 (95% CI: 0.58, 0.92).
CONCLUSION: There was a comparatively high level of agreement when compared with other types of funding schemes. Further experimental research could be used to determine if this higher agreement is due to nature of the application, the composition of the assessment panel, or the characteristics of the applicants.
Copyright © 2016 Elsevier Inc. All rights reserved.

Keywords:  Career; Fellowship; Funding; Peer review; Reliability; Research

Mesh:

Year:  2015        PMID: 26004515     DOI: 10.1016/j.jclinepi.2015.04.010

Source DB:  PubMed          Journal:  J Clin Epidemiol        ISSN: 0895-4356            Impact factor:   6.437


  7 in total

1.  Face-to-face panel meetings versus remote evaluation of fellowship applications: simulation study at the Swiss National Science Foundation.

Authors:  Marco Bieri; Katharina Roser; Rachel Heyard; Matthias Egger
Journal:  BMJ Open       Date:  2021-05-05       Impact factor: 2.692

Review 2.  What do we know about grant peer review in the health sciences?

Authors:  Susan Guthrie; Ioana Ghiga; Steven Wooding
Journal:  F1000Res       Date:  2017-08-07

3.  Influence of external peer reviewer scores for funding applications on funding board decisions: a retrospective analysis of 1561 reviews.

Authors:  Lexy Sorrell; Nicola Mcardle; Taeko Becque; Helen Payne; Beth Stuart; Sheila Turner; Jeremy C Wyatt
Journal:  BMJ Open       Date:  2018-12-14       Impact factor: 2.692

4.  What works for peer review and decision-making in research funding: a realist synthesis.

Authors:  Alejandra Recio-Saucedo; Ksenia Crane; Katie Meadmore; Kathryn Fackrell; Hazel Church; Simon Fraser; Amanda Blatch-Jones
Journal:  Res Integr Peer Rev       Date:  2022-03-04

5.  'Are you siding with a personality or the grant proposal?': observations on how peer review panels function.

Authors:  John Coveney; Danielle L Herbert; Kathy Hill; Karen E Mow; Nicholas Graves; Adrian Barnett
Journal:  Res Integr Peer Rev       Date:  2017-12-04

Review 6.  Peer review of health research funding proposals: A systematic map and systematic review of innovations for effectiveness and efficiency.

Authors:  Jonathan Shepherd; Geoff K Frampton; Karen Pickett; Jeremy C Wyatt
Journal:  PLoS One       Date:  2018-05-11       Impact factor: 3.240

7.  Randomly auditing research labs could be an affordable way to improve research quality: A simulation study.

Authors:  Adrian G Barnett; Pauline Zardo; Nicholas Graves
Journal:  PLoS One       Date:  2018-04-12       Impact factor: 3.240

  7 in total

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