Evidence map›Paper›PMID 41620623›Full record

ArticleImplementation science communications2026

Preparing clinical champions for sustainable implementation of practice change within large healthcare systems.

Sophia M Bartels, Zenith Rai, Matthew Martel, Omonyele Adjognon, Kelly Dvorin, Charles Engel, Tamara Schult, Timothy M Doherty, Bo Kim, Justeen Hyde

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. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

10 authors.

Sophia M BartelsUS Department of Veteran Affairs, Center for Health Optimization and Implementation Research, VA Bedford Healthcare System, Bedford, USA. sophia.bartels@va.gov.ORCID http://orcid.org/0000-0002-9431-8735
Zenith RaiUS Department of Veteran Affairs, Center for Health Optimization and Implementation Research, VA Bedford Healthcare System, Bedford, USA.
Matthew MartelUS Department of Veteran Affairs, Center for Health Optimization and Implementation Research, VA Bedford Healthcare System, Bedford, USA.
Omonyele AdjognonUS Department of Veteran Affairs, Center for Health Optimization and Implementation Research, VA Boston Healthcare System, Boston, USA.
Kelly DvorinUS Department of Veteran Affairs, Center for Health Optimization and Implementation Research, VA Bedford Healthcare System, Bedford, USA.
Charles EngelUS Department of Veteran Affairs, Seattle-Denver Center of Innovation for Value-Based and Veteran-Centered Care, VA Puget Sound Healthcare System, Seattle, USA.
Tamara SchultOffice of Patient Centered Care & Cultural Transformation, Veterans Health Administration, Arlington, USA.
Timothy M DohertyOffice of Patient Centered Care & Cultural Transformation, Veterans Health Administration, Arlington, USA.
Bo KimUS Department of Veteran Affairs, Center for Health Optimization and Implementation Research, VA Boston Healthcare System, Boston, USA.
Justeen HydeUS Department of Veteran Affairs, Center for Health Optimization and Implementation Research, VA Bedford Healthcare System, Bedford, USA.

Funding

HSRD VA PEC 13-001
6 · The paper itself

Abstract

backgroundClinical champions can be effective for increasing uptake of evidence-based interventions. However, little is known about how to prepare them to be impactful, particularly within large healthcare systems. We present a conceptual model, grounded in the Awareness, Desire, Knowledge, Ability, Reinforcement (ADKAR®) change management framework, to guide training for clinical champions.

methodsIn 2021, the U.S. Department of Veterans Affairs implemented clinical champions in primary care and mental health services to facilitate uptake of Whole Health, a person-centered holistic approach to healthcare. Our conceptual model was created through iterative team discussions about learnings from our evaluation of Whole Health clinical champion implementation. This evaluation included two rounds of interviews with clinical champions, and three rounds of a practice reflection survey (aligned with ADKAR) administered to champions.

resultsDrawing on these data and ADKAR, we developed a conceptual model of how clinical champions can be supported through two complementary and sequential change management processes. The first process is related to their practice change. Clinical champions must start by gaining awareness of and interest in the new practice. They can then develop foundational knowledge and skills to enact it. Finally, they will only maintain the practice if they observe benefits of its use. Once they have progressed through the ADKAR stages in relation to the practice change, the second process they must undertake is in relation to the clinical champion role. They must first understand why clinical champions are needed and have an interest in the role. They then need training and skills for the role (e.g., overcoming barriers, mentorship). Finally, to continue the role over time they must see that champions are making a difference. Only after champions have gone through both processes can they effectively support their colleagues in progressing through the ADKAR stages to implement the change in their practice.

conclusionsGiven that clinical champions are a widely used implementation strategy, this work holds promise for improving its impact on implementation and effectiveness outcomes. By supporting tailoring training to where champions are in the change management processes, our data-driven conceptual model can improve champions' effectiveness as change agents.

Indexed as

Change managementClinical championsTrainingWhole health

Identifiers

PMID41620623
PMCPMC12947433

What OpenQuestion holds

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LicenceCC BY
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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.