Evidence map›Paper›PMID 28738825›Full record

ArticleImplementation science : IS2017

Broadening measures of success: results of a behavioral health translational research training program.

Julie A Baldwin, Heather J Williamson, Emery R Eaves, Bruce L Levin, Donna L Burton, Oliver T Massey

Abstract read
In one paragraph

Article in Implementation science : IS, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Article
  5. 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.

Julie A BaldwinNorthern Arizona University College of Health and Human Services, Center for Health Equity Research, 1395 S. Knoles Dr., #4065, ARD Building, Suite 140, Flagstaff, AZ, 86011, USA. Julie.Baldwin@nau.edu.
Heather J WilliamsonNorthern Arizona University College of Health and Human Services, Center for Health Equity Research, 1395 S. Knoles Dr., #4065, ARD Building, Suite 140, Flagstaff, AZ, 86011, USA.
Emery R EavesNorthern Arizona University College of Health and Human Services, Center for Health Equity Research, 1395 S. Knoles Dr., #4065, ARD Building, Suite 140, Flagstaff, AZ, 86011, USA.
Bruce L LevinDepartment of Child and Family Studies, University of South Florida College of Behavioral and Community Sciences, 13301 Bruce B. Downs Blvd., MHC 2321, Tampa, FL, 33612, USA.
Donna L BurtonDepartment of Child and Family Studies, University of South Florida College of Behavioral and Community Sciences, 13301 Bruce B. Downs Blvd., MHC 2321, Tampa, FL, 33612, USA.
Oliver T MasseyDepartment of Child and Family Studies, University of South Florida College of Behavioral and Community Sciences, 13301 Bruce B. Downs Blvd., MHC 2321, Tampa, FL, 33612, USA.

Funding

Institute for Translational Research Education (ITRE) in Adolescent Substance UseR25DA031103 · NIDA · UNIVERSITY OF SOUTH FLORIDA · PI BRUCE LUBOTSKY LEVIN, OLIVER T MASSEY · 2012 to 2026
$4.7M
NIDA NIH HHS R25 DA031103
6 · The paper itself

Abstract

backgroundWhile some research training programs have considered the importance of mentoring in inspiring professionals to engage in translational research, most evaluations emphasize outcomes specific to academic productivity as primary measures of training program success. The impact of such training or mentoring programs on stakeholders and local community organizations engaged in translational research efforts has received little attention. The purpose of this evaluation is to explore outcomes other than traditional academic productivity in a translational research graduate certificate program designed to pair graduate students and behavioral health professionals in collaborative service-learning projects.

methodsSemi-structured qualitative interviews with scholars, community mentors, and academic mentors were conducted regarding a translational research program to identify programmatic impacts. Interviews were transcribed and coded by the research team to identify salient themes related to programmatic outcomes.

resultsResults are framed using the Translational Research Impact Scale which is organized into three overarching domains of potential impact: (1) research-related impacts, (2) translational impacts, and (3) societal impacts. This evaluation demonstrates the program's impact in all three domains of the TRIS evaluation framework. Graduate certificate participants (scholars) reported that gaining experience in applied behavioral health settings added useful skills and expertise to their present careers and increased their interest in pursuing translational research. Scholars also described benefits resulting from networks gained through participation in the program, including valuable ties between the university and community behavioral health organizations.

conclusionsThis evaluation of the outcomes of a graduate certificate program providing training in translational research highlights the need for more community-oriented and practice-based measures of success. Encouraging practitioner involvement in translational research is vital to translate knowledge into practice and to enable practice-based needs to inform research and policy. A more flexible approach to measuring programmatic success in research training programs can help bridge the knowledge translation gap.

Indexed as

Mental HealthMentorsCooperative BehaviorEducation, GraduateHumansInterviews as TopicProgram EvaluationResearch Support as TopicTranslational Research, BiomedicalBehavioral healthCommunity engagementImplementation scienceProgram evaluationTranslational research

Identifiers

PMID28738825
PMCPMC5525239

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

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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.