Evidence map›Paper›PMID 25024819›Full record

ArticleClinical and translational medicine2014

Incorporating translational research with clinical research to increase effectiveness in healthcare for better health.

Estela S Estape, Mary Helen Mays, Rosanne Harrigan, Robert Mayberry

Abstract read
In one paragraph

Article in Clinical and translational medicine, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. On using ethical principles of community-engaged research in translational science.Translational research : the journal of laboratory and clinical medicine · 2016
    Article
  5. Article
  6. 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

4 authors.

Estela S EstapeSchool of Health Professions, University of Puerto Rico Medical Sciences Campus, P.O. Box 365067, San Juan 00936-5067, Puerto Rico.
Mary Helen MaysPuerto Rico Clinical and Translational Research Consortium, University of Puerto Rico Medical Sciences Campus, P. O. Box 365067, San Juan 00936-5067, Puerto Rico.
Rosanne HarriganDepartment of Complementary and Alternative Medicine, University of Hawaii, 651 Ilalo St, Honolulu, MEB, Hawaii.
Robert MayberryMorehouse School of Medicine, 720 Westview Drive, Atlanta, SW 30310-1495, Georgia.

Funding

Morehouse School of Medicine Center of Excellence Research Endowment ProgramS21MD000101 · NIMHD · MOREHOUSE SCHOOL OF MEDICINE · PI MONTGOMERY-RICE, VALERIE C. · 2001 to 2015
$74.3M
Hispanics in Research Capability: SoHP & SOM Partnership (HIREC)S21MD001830 · NIMHD · UNIVERSITY OF PUERTO RICO MED SCIENCES · PI ELIAS BONETA, AUGUSTO R, ESTAPE, ESTELA S · 2005 to 2010
$30.0M
TECHNOLOGIES AND RESOURCES FOR CORE LABORATORIESU54MD007587 · NIMHD · UNIVERSITY OF PUERTO RICO MED SCIENCES · PI BENABE, JULIO E, LUCIANO, CARLOS A. · 2012 to 2018
$23.2M
TRCLU54RR026139 · NCRR · UNIVERSITY OF PUERTO RICO MED SCIENCES · PI FRONTERA, WALTER R. · 2010 to 2011
$8.4M
Hispanic Clinical and Translational Research Education and Career Development ProgramR25MD007607 · NIMHD · UNIVERSITY OF PUERTO RICO MED SCIENCES · PI Karen G. Martinez Gonzalez, Barbara Segarra-Vazquez · 2012 to 2026
$7.4M
Women's Health Intervention StudyP20MD006881 · NIMHD · MOREHOUSE SCHOOL OF MEDICINE · PI AKINTOBI, TABIA HENRY · 2012 to 2016
$6.0M
NCRR NIH HHS U54 RR026139NIMHD NIH HHS P20 MD006881NIMHD NIH HHS R25 MD007607NIMHD NIH HHS S21 MD000101NIMHD NIH HHS S21 MD001830NIMHD NIH HHS U54 MD007587
6 · The paper itself

Abstract

backgroundThe transfer of new scientific discoveries into healthcare interventions requires that basic and clinical researchers work together with health care providers to generate team science. These innovative models require translational teams, and need to extend beyond the academic environment. The future of translational science requires partnerships with the healthcare community as well as the broader, general community. This new integrated model of effective translational teams holds promise for addressing thorny and persistent health disparities, is consistent with the nation's strategic priority of eliminating health disparities, and bodes well for increasing healthcare effectiveness aimed at better health for all. DISCUSSION: As part of the 13th Research Centers in Minority Institutions (RCMI) International Symposium on Health Disparities, several senior academic leaders joined efforts to hold a workshop to discuss a model that considers the incorporation of two translational research strategies in research career development programs: Comparative effectiveness research (CER) and community-based participatory research (CBPR) for increasing healthcare effectiveness and eliminating healthcare disparities. Discussion included what issues may be most germane to the concept of a unified model for research workforce development through formal training and career development leading to increased effectiveness in healthcare for better health. SUMMARY: We believe that there is a gap in knowledge and skills in formal research career development programs that will enable physicians, other clinicians, and basic scientists to actively participate in these two translational research strategies. The purpose of this paper is to share the outcomes of these discussions, and encourage further discussion and possible innovation in the formulation of a new model for translational research workforce development.

Indexed as

Clinical researchCommunity-based participatory researchComparative effectiveness researchEffectivenessHealthcare disparitiesResearch workforceTranslational research

Identifiers

PMID25024819
PMCPMC4090393

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.