Evidence map›Paper›PMID 42438517›Full record

ArticleMedical science educator2026

Montessori Principles in Medical Education: Training Innovative and Compassionate Physicians.

Pamela Meyers, Sandra Guzmán-Figueroa, Ryan Patterson, Dina Kurzweil, Mabel Perez-Oquendo, Maheshinie Rajapaksha, Devi Rajan, Renee J Chosed

Abstract read
In one paragraph

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

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

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

8 authors.

Pamela MeyersTeaching and Learning Center, Oregon Health & Science University, Portland, OR USA.
Sandra Guzmán-FigueroaCurriculum Development & Innovation Office, Academic Deanship, Universidad Central del Caribe, Bayamón, Puerto Rico.
Ryan PattersonTeaching and Learning Center, Oregon Health & Science University, Portland, OR USA.
Dina KurzweilEducation and Technology Innovation Support Office, Uniformed Services University of the Health Sciences, Bethesda, MD USA.
Mabel Perez-OquendoStudent Opportunities for Advancement in Research Office, Baylor College of Medicine, TX Houston, USA.
Maheshinie RajapakshaDepartment of Biomedical Sciences, Mercer University School of Medicine, Savannah, GA USA.
Devi RajanDepartment of Biomedical Sciences, Mercer University School of Medicine, Savannah, GA USA.
Renee J ChosedDepartment of Biomedical Sciences, University of South Carolina School of Medicine Greenville, 701 Grove Rd, SC 29605 Greenville, USA.ORCID 0000-0002-0442-0833

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The Montessori Method emphasizes competency-based assessment, student-directed learning, and teachers as guides who help learners become reflective, lifelong professionals. This paper examines how Montessori principles inform medical education, promoting connections between foundational learning and patient-centered care. The authors developed the Montessori-Influenced Medical Education (MIME) Framework to classify and align these principles with medical school programs, revealing their implicit presence throughout training. Elements such as self-directed learning, experiential practice, and interprofessional collaboration mirror Montessori values. Thoughtful integration of individualized pathways and mastery learning can foster adaptable, resilient, compassionate healthcare professionals equipped to meet the evolving challenges of modern patient care.

Indexed as

Experiential learningLifelong learningMontessori methodSelf-directed learning

Identifiers

PMID42438517
PMCPMC13355961

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.