Evidence map›Paper›PMID 41395163›Full record

ArticleJournal of clinical and translational science2025

Increasing evaluation team capacity through creation of an innovative digital tool.

Kayla J Kuhfeldt, Kim C Brimhall

Abstract read
In one paragraph

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 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

2 authors.

Kayla J KuhfeldtBoston University, Clinical & Translational Science Institute, Boston, MA, USA.ORCID https://orcid.org/0000-0001-9284-5307
Kim C BrimhallBoston University, Clinical & Translational Science Institute, Boston, MA, USA.ORCID https://orcid.org/0000-0002-9271-5358

Funding

Project-005UL1TR001430 · NCATS · BOSTON UNIVERSITY MEDICAL CAMPUS · PI BAIR-MERRITT, MEGAN H, CENTER, DAVID M. · 2015 to 2024
$52.3M
NCATS NIH HHS UL1 TR001430
6 · The paper itself

Abstract

Evaluation teams have been critical to the success of Clinical and Translational Science Award (CTSA) programs funded by the National Center for Advancing Translational Sciences (NCATS). Given the limited resources often available to evaluation teams and the growing emphasis on impact evaluation and continuous quality improvement (CQI), CTSA programs may need to develop innovative strategies to build capacity for effectively implementing CQI and impact evaluation, while still tracking commonly reported metrics. To address this challenge, the Boston University (BU) Clinical and Translational Science Institute (CTSI) partnered with the BU Hariri's Software and Application Innovation Lab (SAIL) to develop a web-based digital tool, known as TrackImpact, that streamlines data collection, saving significant time and resources, and increasing evaluation team capacity for other activities. Time and cost saving analyses are used to demonstrate how we increased evaluation team capacity by using this innovative digital tool.

Indexed as

bibliometricscapacity buildingcost savingsDigital toolevaluation

Identifiers

PMID41395163
PMCPMC12695501

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.