Evidence map›Paper›PMID 42343492›Full record

ArticleImplementation science communications2026

Advancing health equity through the development of a scholars training program in implementation science.

Rebekka M Lee, Loni Parrish, Rebekah Jacob, Cheryl Valko, Andrea Jimenez-Zambrano, Erica T Warner, Ross C Brownson

Abstract read
In one paragraph

Article in Implementation science communications, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

7 authors.

Rebekka M LeeDepartment of Social and Behavioral Sciences, Harvard T.H. Chan School of Public Health, 677 Huntington Ave 7th Floor, Boston, MA, 02115, USA. rlee@hsph.harvard.edu.ORCID http://orcid.org/0000-0002-5863-7907
Loni ParrishDepartment of Population Health, University of Kansas Medical Center, Kansas City, KS, 66160, USA.
Rebekah JacobPrevention Research Center, Brown School at Washington University in St. Louis, One Brookings Drive, Campus Box 1196, St. Louis, MO, 63130, USA.
Cheryl ValkoPrevention Research Center, Brown School at Washington University in St. Louis, One Brookings Drive, Campus Box 1196, St. Louis, MO, 63130, USA.
Andrea Jimenez-ZambranoDepartment of Pediatrics, University of Colorado School of Medicine, Aurora, CO, USA.
Erica T WarnerClinical Translational Epidemiology Unit, Mongan Institute, Massachusetts General Hospital, Boston, MA, USA.
Ross C BrownsonPrevention Research Center, Brown School at Washington University in St. Louis, One Brookings Drive, Campus Box 1196, St. Louis, MO, 63130, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundApproaches to achieving health equity in implementation science are critical to ameliorating disparities resulting from social, economic, and racial injustices. The field needs to grow transdisciplinary tools, processes, and increased workforce capacity to lead health equity research, particularly among scholars from groups that are underrepresented in science. This project, perhaps the first of its kind, used mixed methods to develop and pilot a robust, actionable model for mentoring and training to advance health equity in implementation science.

methodsTo inform the content and design, we conducted concept mapping with implementation science and equity researchers (N = 69) and qualitative one-on-one interviews with leaders (N = 6) and past trainees (N = 14) of established programs with a health equity or disparities focus. We piloted the training among 17 scholars (100% underrepresented in science, 88% women) over 2.5 days. It followed engagement and active learning principles with small group discussions, speed mentoring, problem-based learning, and peer-to-peer teaching.

resultsConcept mapping identified priority competencies of engaging the community, equity-relevant methods, cultural humility, and mentoring to integrate into the training. Interviewees discussed the importance of designing the program based on participants' needs. Therefore, we added a pre-program survey to determine scholars' priorities. Interviewees emphasized the importance of having presenters from underrepresented backgrounds discuss their journeys and opportunities to learn equity content from other scholars, which informed a panel of junior investigators on navigating academia. They recommended including presentations led by community members, historical perspectives on health equity, and equity-focused methods, which informed a community engagement and measurement lecture co-led by an academic-community partnership. Scholars identified mentorship opportunities, a supportive environment, diverse perspectives of scholars and faculty, and engaging discussions as program strengths.

conclusionsThis study applied a user-informed, data-driven approach to designing an implementation science training that prioritizes the interests of diverse scholars. We identified curriculum competencies and processes to build capacity for an implementation science workforce that centers on equity.

Indexed as

Capacity buildingData-driven designHealth equityImplementation scienceMixed methodsTraining

Identifiers

PMID42343492
PMCPMC13555887

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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.