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衡量研究的综合影响:确立转化科学效益模型数据编码标准。

Measuring the aggregated impact of research: Establishing criteria for coding Translational Science Benefits Model data.

作者信息

Miovsky Nicole, Woodworth Amanda, Andersen Stephanie, Das Rosalina, Heidbreder Julie, Paranal Rechelle, Pelfrey Clara M, Sperling Jessica, Tigges Beth, Volkov Boris B, Schneider Margaret

机构信息

Institute for Clinical and Translational Science, University of California Irvine, Irvine, CA, USA.

Clark-Fox Policy Institute, Brown School at Washington University in St. Louis, St Louis, MO, USA.

出版信息

J Clin Transl Sci. 2025 May 16;9(1):e129. doi: 10.1017/cts.2025.76. eCollection 2025.

Abstract

INTRODUCTION

A promising approach to assessing research impact draws on the Translational Science Benefits Model (TSBM), an evaluation model that tracks the applied benefits of research in four domains: Clinical and Medical; Community and Public Health; Economic; and Policy and Legislative. However, standardized methods to verify TSBM benefit data, to aid in aggregating impact data within quantitative summaries, do not currently exist.

METHODS

A panel of 11 topic experts participated in a modified Delphi process for establishing content and face validity of a set of criteria for verifying qualitative TSBM data. Two survey rounds were completed by panelists, with a moderated discussion in between rounds to discuss criteria not reaching consensus. Criteria with panel consensus at or above 70% in the survey rounds were confirmed as validated.

RESULTS

Criteria fell into 9 categories: Content Relevant, Project Related, Who, Reach, What, How, Novel, Documented Evidence, and When. The Delphi process yielded 197 total criteria across the 30 benefits characterized by the TSBM (range = 5-8 criteria per benefit).

DISCUSSION

The results of this Delphi process lay the foundation for developing a TSBM coding tool for evaluating and quantifying TSBM data. Standardizing this process will enable data aggregation, group analysis, and the comparison of research impact across contexts.

摘要

引言

一种评估研究影响力的有效方法借鉴了转化科学效益模型(TSBM),这是一种评估模型,用于追踪研究在四个领域的应用效益:临床与医学;社区与公共卫生;经济;政策与立法。然而,目前尚不存在用于验证TSBM效益数据的标准化方法,以帮助在定量总结中汇总影响力数据。

方法

由11名主题专家组成的小组参与了一个经过改进的德尔菲过程,以确定一套用于验证定性TSBM数据的标准的内容效度和表面效度。小组成员完成了两轮调查,两轮调查之间进行了一次有主持人的讨论,以讨论未达成共识的标准。在调查轮次中,小组共识达到或超过70%的标准被确认为有效。

结果

标准分为9类:内容相关、项目相关、何人、范围、何事、如何、新颖性、书面证据和时间。德尔菲过程在TSBM所描述的30项效益中总共产生了197条标准(每项效益的标准范围为5 - 8条)。

讨论

本次德尔菲过程的结果为开发一个用于评估和量化TSBM数据的TSBM编码工具奠定了基础。使这一过程标准化将能够进行数据汇总、群组分析以及跨背景比较研究影响力。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bde2/12209970/21bb12f563dd/S2059866125000767_fig1.jpg

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