Evidence map›Paper›PMID 25801998›Full record

ArticleClinical and translational science2015

Evolution of Multidisciplinary Translational Teams (MTTs): Insights for Accelerating Translational Innovations.

Kevin C Wooten, William J Calhoun, Suresh Bhavnani, Robert M Rose, Bill Ameredes, Allan R Brasier

Abstract read
In one paragraph

Article in Clinical and translational science, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing 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

25 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Subtyping Social Determinants of Health inmedRxiv : the preprint server for health sciences · 2023
    Article
  6. Review
  7. Article
  8. Temporal development of high-performance translational teams.Journal of clinical and translational science · 2023
    Review
  9. Review
  10. Article
  11. Review
  12. Article
  13. Article
  14. Article
  15. Article
  16. Individual and team competencies in translational teams.Journal of clinical and translational science · 2020
    Article
  17. Article
  18. Article
  19. Enhancing reproducibility using interprofessional team best practices.Journal of clinical and translational science · 2020
    Article
  20. Approaches to Measuring Trends in Interdisciplinary Research Publications at One Academic Medical Center.Academic medicine : journal of the Association of American Medical Colleges · 2020
    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

6 authors.

Kevin C WootenInstitute for Translational Sciences, University of Texas Medical Branch (UTMB), Galveston, Texas, USA.
William J CalhounInstitute for Translational Sciences, University of Texas Medical Branch (UTMB), Galveston, Texas, USA.
Suresh BhavnaniInstitute for Translational Sciences, University of Texas Medical Branch (UTMB), Galveston, Texas, USA.
Robert M RoseInstitute for Translational Sciences, University of Texas Medical Branch (UTMB), Galveston, Texas, USA.
Bill AmeredesInstitute for Translational Sciences, University of Texas Medical Branch (UTMB), Galveston, Texas, USA.
Allan R BrasierInstitute for Translational Sciences, University of Texas Medical Branch (UTMB), Galveston, Texas, USA.

Funding

UTMB Clinical and Translational Science AwardUL1TR001439 · NCATS · UNIVERSITY OF TEXAS MED BR GALVESTON · PI URBAN, RANDALL J · 2015 to 2024
$40.0M
UTMB Clinical and Translational Science AwardUL1TR000071 · NCATS · UNIVERSITY OF TEXAS MED BR GALVESTON · PI BRASIER, ALLAN R. · 2012 to 2014
$14.4M
NCATS NIH HHS UL1 TR000071NCATS NIH HHS UL1TR000071NCATS NIH HHS UL1 TR001439
6 · The paper itself

Abstract

There is growing consensus about the factors critical for development and productivity of multidisciplinary teams, but few studies have evaluated their longitudinal changes. We present a longitudinal study of 10 multidisciplinary translational teams (MTTs), based on team process and outcome measures, evaluated before and after 3 years of CTSA collaboration. Using a mixed methods approach, an expert panel of five judges (familiar with the progress of the teams) independently rated team performance based on four process and four outcome measures, and achieved a rating consensus. Although all teams made progress in translational domains, other process and outcome measures were highly variable. The trajectory profiles identified four categories of team performance. Objective bibliometric analysis of CTSA-supported MTTs with positive growth in process scores showed that these teams tended to have enhanced scientific outcomes and published in new scientific domains, indicating the conduct of innovative science. Case exemplars revealed that MTTs that experienced growth in both process and outcome evaluative criteria also experienced greater innovation, defined as publications in different areas of science. Of the eight evaluative criteria, leadership-related behaviors were the most resistant to the interventions introduced. Well-managed MTTs demonstrate objective productivity and facilitate innovation.

Indexed as

Cooperative BehaviorDiffusion of InnovationGroup ProcessesInterdisciplinary CommunicationModels, OrganizationalBibliometricsCapacity BuildingEfficiencyHumansLeadershipLongitudinal StudiesProgram DevelopmentProgram EvaluationStaff DevelopmentTime FactorsTranslational Research, Biomedicalmultidisciplinary teamsteam evolutiontranslational research

Identifiers

PMID25801998
PMCPMC4575623

What OpenQuestion holds

Textmetadata
LicenceTDM
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.