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Record W4413110575 · doi:10.3928/01484834-20250313-01

An Intervention to Increase Nursing Students' Empathy Levels for People With Disabilities

2025· article· en· W4413110575 on OpenAlexaboutno aff
Jessica H. Ochs

Bibliographic record

VenueJournal of Nursing Education · 2025
Typearticle
Languageen
FieldMedicine
TopicEmpathy and Medical Education
Canadian institutionsnot available
Fundersnot available
KeywordsEmpathyPsychologyIntervention (counseling)Repeated measures designQuarter (Canadian coin)Clinical psychologyNursingMedicineSocial psychologyPsychiatry

Abstract

fetched live from OpenAlex

BACKGROUND: People with disabilities (PWD) experience significant health disparities. With more than a quarter of adults in the United States having a disability, it is imperative nursing students gain skills in addressing and preventing these disparities. There is evidence that low levels of empathy among health professionals contributes to these disparities. METHOD: The aim of this study was to examine the effects of role-play simulation and group interactivities on nursing students' empathy levels toward PWD. A mixed model analysis of variance (ANOVA) design was used to examine differences in empathy scores as measured by the Revised Kiersma-Chen Empathy Scale between groups and over time. RESULTS: Data analysis demonstrated a significant improvement in composite empathy scores from pretest to posttest in the intervention group participants who received the role-play simulation and group interactivities. CONCLUSION: This study supports the use of role-play simulation in teaching nursing students' content on caring for PWD.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.601
Threshold uncertainty score0.310

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.033
GPT teacher head0.444
Teacher spread0.411 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations1
Published2025
Admission routes1
Has abstractyes

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