ArticleJournal of clinical and translational science2025
Meta-evaluative practices of Clinical and Translational Research evaluators.
Article in Journal of clinical and translational science, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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.
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.
Who cites it
2 citing papers in PubMed.
- Contextualizing Evaluation in Research Consortia: A Reflective Case Study from the Research Centers in Minority Institutions (RCMIs) Program.International journal of environmental research and public health · 2026Article
- Measuring what matters: Modern evaluation practices in clinical and translational science.Journal of clinical and translational science · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Introduction: The National Institutes of Health (NIH) Institutional Development Award (IDeA) program was created to build capacity and enhance research in states with historically low levels of NIH funding. IDeA Clinical and Translational Research (CTR) networks are focused on building statewide and regional capacity to conduct biomedical research. The tracking and evaluation component of each CTR is tasked with collecting data to facilitate continuous improvement and measure impact. Methods: This paper presents findings from a survey conducted with IDeA-CTR evaluators examining the following questions: 1) To what extent do evaluators use meta-evaluative practices and how does meta-evaluation inform their evaluation? and 2) What challenges evaluators face in their evaluation planning and implementation? Results: Findings show that 50% of CTRs conducted some form of meta-evaluation. Further, quantitative and qualitative responses tell a compelling story of the challenges in translational research evaluation. The most prominent were the development of feasible and useful data management systems, the selection and endorsement of program-wide impact metrics, and the promulgation of realistic expectations regarding feasibility and utility for recipients of the evaluation, including expectations for project impacts that lead to systemic change. Conclusions: Findings suggest the importance of internally adopting a participatory, collaborative approach to evaluation and externally sharing insights with and adopting strategies from fellow evaluators within a learning community. This study promotes the value of conducting meta-evaluation in CTR settings, demonstrates means for and results from doing so, and shares best practices for addressing challenges encountered by many CTR evaluators.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.