Evidence map›Paper›PMID 40231104›Full record

ArticleFrontiers in research metrics and analytics2025

Modernizing CTSA hub evaluation: an integrated system for performance monitoring and translational science impact assessment.

Maryam Gholami, Elizabeth Johnson, Kera Swanson, Carlos Rojas, Daniel Bouland

Abstract read
In one paragraph

Article in Frontiers in research metrics and analytics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Maryam GholamiAltman Clinical and Translational Research Institute (ACTRI), University of California San Diego Health, La Jolla, CA, United States.
Elizabeth JohnsonAltman Clinical and Translational Research Institute (ACTRI), University of California San Diego Health, La Jolla, CA, United States.
Kera SwansonAltman Clinical and Translational Research Institute (ACTRI), University of California San Diego Health, La Jolla, CA, United States.
Carlos RojasAltman Clinical and Translational Research Institute (ACTRI), University of California San Diego Health, La Jolla, CA, United States.
Daniel BoulandAltman Clinical and Translational Research Institute (ACTRI), University of California San Diego Health, La Jolla, CA, United States.

Funding

UC San Diego Clinical and Translational Research InstituteUL1TR001442 · NCATS · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI FIRESTEIN, GARY S, HOGARTH, MICHAEL · 2015 to 2024
$88.3M
NCATS NIH HHS UL1 TR001442
6 · The paper itself

Abstract

Background: The Evaluation Unit at the Altman Clinical and Translational Research Institute (ACTRI) implemented a balanced scorecard model in conjunction with a project management tool to consolidate data collection for progress monitoring, strategic alignment, and impact assessment. This approach aims to streamline communication and enhance information accessibility for all partners. We developed an efficient system for collecting, analyzing, and reporting key information on unit progress, impact, and alignment with institutional goals. The Translational Science Benefits Model (TSBM) was proposed as a framework to evaluate the broader impact of our translational research, beyond immediate scientific advancements, across clinical, societal, economic, and policy domains. Methods: The ACTRI Evaluation Unit initially adapted the balanced scorecard (BSC) to the research environment, substituting business perspectives with research grant aims. In its second iteration, the BSC was integrated into Monday.com, a project management platform, to create customized, real-time monitoring dashboards for each unit within the institute. The Evaluation Unit's 3.0 version further adapted the TSBM to assess the broader impacts of unit activities. Quarterly data collection was implemented, and partners were trained in impact assessment and dashboard usage. This process began in early 2023 and is ongoing. Results: Eleven monitoring dashboards were developed and successfully implemented across the institute. The new system facilitated more efficient data collection and reporting, reducing communication overhead and increasing the frequency of updates. The data collected were utilized to draft annual reports as well as inform strategic planning and executive sessions. Conclusions: Integrating the TSBM into our existing BSC framework, combined with a project management tool, effectively streamlined impact assessment and progress monitoring. This approach not only enhanced data collection and reporting efficiency but also encouraged units to align their goals and activities with desired impacts, thereby strengthening the institute's overall strategic focus.

Indexed as

evaluationimpact assessmentprocess monitoringprogress trackingtranslational science benefits model

Identifiers

PMID40231104
PMCPMC11994610

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.