Evidence map›Paper›PMID 40377970›Full record

ArticleJMIR research protocols2025

Providing Education and Training to Health Care Professionals to Address COVID-19 Health Disparities: Protocol for Implementation Project Using Reach, Effectiveness, Adoption, Implementation, and Maintenance Framework.

Adati Tarfa, Nada Fadul, Erica Stohs, Jeffrey Wetherhold, Mahelet Kebede, Nuha Mirghani, Muhammad Salman Ashraf

Abstract read
In one paragraph

Article in JMIR research protocols, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Review
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.

Adati TarfaSchool of Medicine, Yale University, New Haven, CT, United States.ORCID 0000-0002-8831-2396
Nada FadulDivision of Infectious Diseases, Department of Internal Medicine, University of Nebraska Medical Center, Omaha, NE, United States.ORCID 0000-0001-5022-9063
Erica StohsDivision of Infectious Diseases, Department of Internal Medicine, University of Nebraska Medical Center, Omaha, NE, United States.ORCID 0000-0002-8324-6414
Jeffrey WetherholdOhia Advisors, Boston, MA, United States.ORCID 0009-0007-1148-9293
Mahelet KebedeIsat advisors, District of Columbia, MD, United States.ORCID 0009-0009-7775-0460
Nuha MirghaniDivision of Infectious Diseases, Department of Internal Medicine, University of Nebraska Medical Center, Omaha, NE, United States.ORCID 0009-0002-0830-9718
Muhammad Salman AshrafDivision of Infectious Diseases, Department of Internal Medicine, University of Nebraska Medical Center, Omaha, NE, United States.ORCID 0000-0002-0749-1282

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe COVID-19 pandemic has underscored the need for targeted interventions to address health care disparities among specific health care professionals and mitigate the impact of the virus. In response, we developed a comprehensive statewide educational program protocol focused on subject areas of health equity, cultural sensitivity, infection prevention and control (IPC), and quality improvement (QI).

objectiveThe project aims to improve health care professionals' knowledge and practice skills in the 4 subject areas, increase their comfort level in implementing health disparities-related QI projects, and facilitate the successful completion of QI projects addressing COVID-19 health disparities within their practice settings.

methodsThe Reach, Effectiveness, Adoption, Implementation, and Maintenance (RE-AIM) framework was used in the planning and evaluation of this innovative educational program, which combines the Extension for Community Healthcare Outcomes (ECHO) learning model with one-on-one QI coaching. Participants engage in virtual interactive sessions led by experts and consultants, covering didactic presentations, case discussions, COVID-19 updates, and assessments. QI and health equity coaches provide guidance on developing QI projects targeting COVID-19 and other health disparities. Evaluation surveys are used for baseline, midpoint, and end-of-program assessment for self-reported comfort levels with knowledge and practice-based learning competencies in all 4 subject areas and health disparities-related QI project implementation. The Wilcoxon rank-sum test and Cochran-Armitage trend test will be used to compare pre- and postsurvey responses. Data from semistructured qualitative interviews, which capture insights into participants' application of ECHO training, will be analyzed using an inductive content analysis approach.

resultsA total of 50 ECHO sessions were held between November 2021 and May 2024. Overall, 510 participants attended at least one ECHO session, resulting in 3316 teaching encounters. The pre- and postsurvey data will be analyzed to study project impact and will be ready for publication in June 2026.

conclusionsBy using implementation science methods, an innovative and comprehensive educational protocol was developed that integrates the training curriculum, evaluation metrics, and coaching support, allowing for the translation of the training into actionable community projects focused on addressing health disparities. This model has shown initial promise in terms of feasibility and uptake. Further studies are needed to evaluate the long-term effectiveness of these QI projects in reducing COVID-19 disparities. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): DERR1-10.2196/60901.

Indexed as

COVID-19Healthcare DisparitiesHealth PersonnelHumansPandemicsProgram EvaluationQuality ImprovementSARS-CoV-2COVID-19cultural sensitivityhealthcare professional educationhealth disparitiesquality improvement

Identifiers

PMID40377970
PMCPMC12125559

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.