Evidence map›Paper›PMID 42746645›Full record

ReviewTzu chi medical journal

Reframing entrustment through humanistic values: Entrustable Professional Activity-based assessment in the context of Tzu Chi nursing education.

Shih-Chun Lin, Malcolm Koo, Yi-Kung Lee

Abstract readReview
In one paragraph

Review in Tzu chi medical journal. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed, 1 pooled it
–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 synthesis or guideline pooled it.

  1. Pooled it
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

3 authors.

Shih-Chun LinDepartment of Nursing, Dalin Tzu Chi Hospital, Buddhist Tzu Chi Medical Foundation, Chiayi, Taiwan.
Malcolm KooDepartment of Medical Research, Dalin Tzu Chi Hospital, Buddhist Tzu Chi Medical Foundation, Chiayi, Taiwan.
Yi-Kung LeeDepartment of Emergency Medicine, Dalin Tzu Chi Hospital, Buddhist Tzu Chi Medical Foundation, Chiayi, Taiwan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Entrustable Professional Activities (EPAs) are widely used to operationalize competency-based education through workplace-based assessment. Although EPAs emphasize authentic clinical tasks, entrustment decisions are not value-neutral and inevitably reflect assumptions about professional competence and trust. This conceptual argument study examines the EPA-based assessment through the lens of Tzu Chi nursing education, a value-explicit healthcare context in which compassion, attentiveness to suffering, and moral responsibility are central to professional identity. We argue that entrustment decisions function not only as judgments of task readiness but also as sites where institutional humanistic values are enacted in everyday assessment practice. This article contributes by conceptualizing value-explicit healthcare systems as a distinct context for assessment design, translating humanistic values into entrustment decision-making practices, and proposing implementable narrative-based faculty language that preserves professional judgment without introducing additional scoring instruments. By focusing on entrustment decision-making rather than additional measurement tools, we propose how narrative justification and shared faculty language can support both assessment coherence and humanistic professional identity formation.

Indexed as

Competency-based assessmentEntrustable Professional ActivitiesEntrustment decision-makingHumanistic nursing educationProfessional identity formation

Identifiers

PMID42746645
PMCPMC13577552

What OpenQuestion holds

Textmetadata
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.