Please use this identifier to cite or link to this item: https://hdl.handle.net/2440/130433
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Type: Journal article
Title: Applying a framework to assess the impact of cardiovascular outcomes improvement research
Author: Sarkies, M.N.
Robinson, S.
Briffa, T.
Duffy, S.J.
Nelson, M.
Beltrame, J.
Cullen, L.
Chew, D.
Smith, J.
Brieger, D.
Macdonald, P.
Liew, D.
Reid, C.
Citation: Health Research Policy and Systems, 2021; 19(1):67-67
Publisher: BioMed Central
Issue Date: 2021
ISSN: 1478-4505
1478-4505
Statement of
Responsibility: 
Mitchell N. Sarkies, Suzanne Robinson, Tom Briffa, Stephen J. Duffy, Mark Nelson, John Beltrame ... et. al.
Abstract: BACKGROUND: Health and medical research funding agencies are increasingly interested in measuring the impact of funded research. We present a research impact case study for the first four years of an Australian National Health and Medical Research Council funded Centre of Research Excellence in Cardiovascular Outcomes Improvement (2016-2020). The primary aim of this paper was to explore the application of a research impact matrix to assess the impact of cardiovascular outcomes improvement research. METHODS: We applied a research impact matrix developed from a systematic review of existing methodological frameworks used to measure research impact. This impact matrix was used as a bespoke tool to identify and understand various research impacts over different time frames. Data sources included a review of existing internal documentation from the research centre and publicly available information sources, informal iterative discussions with 10 centre investigators, and confirmation of information from centre grant and scholarship recipients. RESULTS: By July 2019, the impact on the short-term research domain category included over 41 direct publications, which were cited over 87 times (median journal impact factor of 2.84). There were over 61 conference presentations, seven PhD candidacies, five new academic collaborations, and six new database linkages conducted. The impact on the mid-term research domain category involved contributions towards the development of a national cardiac registry, cardiovascular guidelines, application for a Medicare Benefits Schedule reimbursement item number, introduction of patient-reported outcome measures into several databases, and the establishment of nine new industry collaborations. Evidence of long-term impacts were described as the development and use of contemporary management for aortic stenosis, a cardiovascular risk prediction model and prevention targets in several data registries, and the establishment of cost-effectiveness for stenting compared to surgery. CONCLUSIONS: We considered the research impact matrix a feasible tool to identify evidence of academic and policy impact in the short- to midterm; however, we experienced challenges in capturing long-term impacts. Cost containment and broader economic impacts represented another difficult area of impact to measure.
Keywords: Cardiovascular outcomes
Rights: © The Author(s) 2021. Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativeco mmons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data
DOI: 10.1186/s12961-021-00710-4
Grant ID: http://purl.org/au-research/grants/nhmrc/1111170
Published version: http://dx.doi.org/10.1186/s12961-021-00710-4
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