Evidence map›Paper›PMID 28480058›Full record

ArticleJournal of clinical and translational science2017

Understanding investigators' attitudes through a results-based accountability framework within a single CTSA institution.

Erin Rothwell, Trent Matheson

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Journal of clinical and translational science, 2017. 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
0.5field-weighted citation impact, top 29% of its field
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, 2 citations in OpenAlex.

  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 at 1 institution in 1 country.

Erin RothwellCollege of Nursing, and School of Medicine in the Division of Medical Ethics and Humanities, University of Utah, Salt Lake City, UT, USA.
Trent MathesonCollege of Nursing, and School of Medicine in the Division of Medical Ethics and Humanities, University of Utah, Salt Lake City, UT, USA.
University of Utah · US

Funding

University of Utah Center for Clinical and Translational ScienceUL1TR001067 · NCATS · UNIVERSITY OF UTAH · PI DERE, WILLARD H., HESS, RACHEL · 2013 to 2017
$19.8M
NCATS NIH HHS UL1 TR001067
6 · The paper itself

Abstract

purposeThe National Center for Advancing Translation Science (NCATS) is implementing a new strategic management plan called the results-based accountability framework. This framework is part of the common metrics initiative. For successful implementation and adoption of new management strategies, it is important to assess current stakeholders' experiences and needs.

methodsInterviews were conducted with principal investigators who are conducting research and supported by the Center for Clinical Translational Science at the University of Utah. Between July and August 2016, 15 interviews were completed and audio recorded. A qualitative content analysis was conducted on the transcripts.

resultsResults indicated the need to provide education about the continuum of clinical translational research; time constraints during pre-award; barriers to IRB submissions; difficulty balancing other responsibilities in academic health centers; and the need for shared study coordinator resources.

conclusionImplementing a new management philosophy requires an understanding key stakeholders attitudes and needs. The research identified ways to help engage investigators with centralized resources supported by NCATS and implementation of common metrics at this university.

Indexed as

Common metricsInterviewsInvestigators

Identifiers

PMID28480058
PMCPMC5408835
OpenAlexW2571975107

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.