Pilot testing of the Research Impact Assessment Framework.

IF 1.4
Robyn L Ward, Don Nutbeam, Wilfred Mijnhardt, Philip Nelson, Angela L Todd, Janine Richards, Kirsten Jackson, Nadia N Khan, Sean Chung
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Abstract

Traditional academic impact frameworks and metrics have been criticised, because they fail to assess the 'real-world' value of research. The Research Impact Assessment Framework was developed to complement and extend existing impact assessment frameworks by focusing on health system needs and priorities. This paper reports on piloting of the Research Impact Assessment Framework for feasibility and utility with researchers working in health and research organisations in Sydney, Australia. The Framework's Research Environment domain was assessed through a bespoke employee survey, and the Alignment and Influence of Research domain through independent review of case studies. Using synthetic data, the outputs from the two domains were combined to compare institutions. The tools tested in this pilot are feasible to use in assessing an organisation's capacity to produce impactful research that is aligned with identified health, social and economic priorities. The case study reviews illustrated the challenge of determining potential versus realised impact. This study identified that implementation of the Research Impact Assessment Framework will be enabled by use of existing routinely collected data, such as annual employee surveys, and the use of artificial intelligence tools to reduce administrative burden and ensure consistency of outputs.

研究影响评估框架的试点测试。
传统的学术影响框架和指标受到了批评,因为它们无法评估研究的“现实世界”价值。制定研究影响评估框架是为了补充和扩展现有的影响评估框架,重点关注卫生系统的需求和优先事项。本文报告了在澳大利亚悉尼的卫生和研究组织工作的研究人员对研究影响评估框架的可行性和效用进行试点的情况。框架的研究环境领域通过定制的员工调查进行评估,研究领域的一致性和影响通过案例研究的独立审查。使用合成数据,将两个领域的产出结合起来比较机构。在这个试点中测试的工具是可行的,可以用来评估一个组织进行符合确定的卫生、社会和经济优先事项的有影响力的研究的能力。案例研究回顾说明了确定潜在影响与实现影响的挑战。本研究确定,研究影响评估框架的实施将通过使用现有的常规收集数据(如年度员工调查)和使用人工智能工具来减少行政负担并确保产出的一致性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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