Evidence map›Paper›PMID 41244712›Full record

ArticleMedEdPublish (2016)2025

Flourishing by Design: Applying Self-Determination Theory and the Job Demands-Resources Model to Systems-Level Wellness in Medical Education.

Adam Neufeld

Abstract read
In one paragraph

Article in MedEdPublish (2016), 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. 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

1 author.

Adam NeufeldDepartment of Family Medicine, University of Calgary, Calgary, Alberta, Canada.ORCID https://orcid.org/0000-0003-2848-8100

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Physician burnout remains a defining challenge in medical education, driven by excessive demands and fragmented wellness initiatives. While calls for systemic reform grow louder, many efforts lack a unifying framework capable of addressing both distress and the cultivation of professional fulfillment. Methods: This guide applies a dual-theory lens-Self-Determination Theory (SDT) and the Job Demands-Resources (JD-R) model-to propose a systems-based approach to motivation and wellness. Drawing on empirical evidence and applied experience, it presents twelve actionable strategies across three ecological domains: the built environment, policy frameworks, and interpersonal dynamics. The first six strategies target hindrance demands that frustrate psychological needs and contribute to burnout; the next six strengthen resources that satisfy those needs and foster engagement, resilience, and well-being. Results: The strategies offer flexible, theoretically grounded entry points for reform, supporting institutions in cultivating sustainable, human-centered learning environments where wellness is embedded-not bolted on. Examples include prioritizing formative over high-stakes assessments, integrating justice and safety into institutional design, and balancing clinical responsibility with developmental support. Conclusions: Integrating SDT and JD-R provides a rigorous, coherent, and scalable foundation for systems-level wellness initiatives. It reframes well-being not as the absence of burnout but as the presence of flourishing-offering a shared language, validated metrics, and a roadmap for lasting cultural and structural transformation in medical education.

Indexed as

basic psychological needsburnout preventionJob Demands-Resources (JD-R) Theorymedical education reformphysician wellnessSelf-Determination Theory (SDT)

Identifiers

PMID41244712
PMCPMC12616115

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.