Literature DB >> 26073891

Developing Common Metrics for the Clinical and Translational Science Awards (CTSAs): Lessons Learned.

Doris M Rubio1, Arthur E Blank2, Ann Dozier3, Lisle Hites4, Victoria A Gilliam1, Joe Hunt5, Julie Rainwater6, William M Trochim7.   

Abstract

The National Institutes of Health (NIH) Roadmap for Medical Research initiative, funded by the NIH Common Fund and offered through the Clinical and Translational Science Award (CTSA) program, developed more than 60 unique models for achieving the NIH goal of accelerating discoveries toward better public health. The variety of these models enabled participating academic centers to experiment with different approaches to fit their research environment. A central challenge related to the diversity of approaches is the ability to determine the success and contribution of each model. This paper describes the effort by the Evaluation Key Function Committee to develop and test a methodology for identifying a set of common metrics to assess the efficiency of clinical research processes and for pilot testing these processes for collecting and analyzing metrics. The project involved more than one-fourth of all CTSAs and resulted in useful information regarding the challenges in developing common metrics, the complexity and costs of acquiring data for the metrics, and limitations on the utility of the metrics in assessing clinical research performance. The results of this process led to the identification of lessons learned and recommendations for development and use of common metrics to evaluate the CTSA effort.
© 2015 Wiley Periodicals, Inc.

Entities:  

Keywords:  Clinical and Translational Science Awards; clinical research; common metrics; evaluation

Mesh:

Year:  2015        PMID: 26073891      PMCID: PMC4626292          DOI: 10.1111/cts.12296

Source DB:  PubMed          Journal:  Clin Transl Sci        ISSN: 1752-8054            Impact factor:   4.689


  5 in total

1.  A national cancer clinical trials system for the 21st century: reinvigorating the NCI Cooperative Group Program.

Authors:  John F Scoggins; Scott D Ramsey
Journal:  J Natl Cancer Inst       Date:  2010-08-03       Impact factor: 13.506

2.  Steps and time to process clinical trials at the Cancer Therapy Evaluation Program.

Authors:  David M Dilts; Alan B Sandler; Steven K Cheng; Joshua S Crites; Lori B Ferranti; Amy Y Wu; Shanda Finnigan; Steven Friedman; Margaret Mooney; Jeffrey Abrams
Journal:  J Clin Oncol       Date:  2009-03-02       Impact factor: 44.544

3.  Research electronic data capture (REDCap)--a metadata-driven methodology and workflow process for providing translational research informatics support.

Authors:  Paul A Harris; Robert Taylor; Robert Thielke; Jonathon Payne; Nathaniel Gonzalez; Jose G Conde
Journal:  J Biomed Inform       Date:  2008-09-30       Impact factor: 6.317

4.  Evaluation guidelines for the Clinical and Translational Science Awards (CTSAs).

Authors:  William M Trochim; Doris M Rubio; Veronica G Thomas
Journal:  Clin Transl Sci       Date:  2013-04-18       Impact factor: 4.689

5.  Publication of NIH funded trials registered in ClinicalTrials.gov: cross sectional analysis.

Authors:  Joseph S Ross; Tony Tse; Deborah A Zarin; Hui Xu; Lei Zhou; Harlan M Krumholz
Journal:  BMJ       Date:  2012-01-03
  5 in total
  15 in total

1.  A Metrics Ontology. An intellectual infrastructure for defining, managing, and applying metrics.

Authors:  Dagobert Soergel; Olivia Helfer
Journal:  Knowl Organ Sustain World Chall Perspect Cult Sci Technol Shar Connect Soc (2016)       Date:  2016-09

2.  Consensus Building to Inform Common Evaluation Metrics for the Comprehensive Partnerships to Advance Cancer Health Equity (CPACHE) Program.

Authors:  Linda S Behar-Horenstein; Sarah Suiter; Frederick Snyder; Kelly Laurila
Journal:  J Cancer Educ       Date:  2021-11-06       Impact factor: 1.771

3.  Developing the Translational Research Workforce: A Pilot Study of Common Metrics for Evaluating the Clinical and Translational Award KL2 Program.

Authors:  Margaret Schneider; Lourdes Guerrero; Lisa B Jones; Greg Tong; Christine Ireland; Jill Dumbauld; Julie Rainwater
Journal:  Clin Transl Sci       Date:  2015-11-25       Impact factor: 4.689

4.  Inclusiveness and ethical considerations for observational, translational, and clinical cancer health disparity research.

Authors:  Michael Behring; Kevin Hale; Bunyamin Ozaydin; William E Grizzle; Stephen O Sodeke; Upender Manne
Journal:  Cancer       Date:  2019-09-10       Impact factor: 6.860

5.  Classifying publications from the clinical and translational science award program along the translational research spectrum: a machine learning approach.

Authors:  Alisa Surkis; Janice A Hogle; Deborah DiazGranados; Joe D Hunt; Paul E Mazmanian; Emily Connors; Kate Westaby; Elizabeth C Whipple; Trisha Adamus; Meridith Mueller; Yindalon Aphinyanaphongs
Journal:  J Transl Med       Date:  2016-08-05       Impact factor: 5.531

6.  Beyond the common metrics: Expanding the impact of the KL2 mentored career development program using alternative impact assessment frameworks.

Authors:  Beatrice A Boateng; Nia Indelicato; Ellen P Fischer; Pedro L Delgado; Mary E Aitken; Laura P James
Journal:  J Clin Transl Sci       Date:  2019-02

7.  The Research Centers in Minority Institutions (RCMI) Consortium: A Blueprint for Inclusive Excellence.

Authors:  Elizabeth O Ofili; Daniel Sarpong; Richard Yanagihara; Paul B Tchounwou; Emma Fernández-Repollet; Mohamad Malouhi; Muhammed Y Idris; Kimberly Lawson; Nadine H Spring; Brian M Rivers
Journal:  Int J Environ Res Public Health       Date:  2021-06-25       Impact factor: 3.390

8.  The Translational Science Benefits Model: A New Framework for Assessing the Health and Societal Benefits of Clinical and Translational Sciences.

Authors:  Douglas A Luke; Cathy C Sarli; Amy M Suiter; Bobbi J Carothers; Todd B Combs; Jae L Allen; Courtney E Beers; Bradley A Evanoff
Journal:  Clin Transl Sci       Date:  2017-09-08       Impact factor: 4.689

9.  Feasibility of common bibliometrics in evaluating translational science.

Authors:  M Schneider; C M Kane; J Rainwater; L Guerrero; G Tong; S R Desai; W Trochim
Journal:  J Clin Transl Sci       Date:  2017-01-31

10.  Systems approach to assessing and improving local human research Institutional Review Board performance.

Authors:  John Fontanesi; Anthony Magit; Jennifer J Ford; Han Nguyen; Gary S Firestein
Journal:  J Clin Transl Sci       Date:  2018-08-08
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