Evidence map›Paper›PMID 41416086›Full record

ArticleFrontiers in medicine2025

Effect of structured community-based older people education program on empathy, emotional intelligence, and caring behavior among nursing students.

Jing Ma, PingLei Chui, Mei Chan Chong, Jingru Yuan, Yongyan Zhu, Luyao Liu, Zhenqing Sun

Abstract read
In one paragraph

Article in Frontiers in medicine, 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

7 authors.

Jing MaDepartment of Nursing Science, Universiti Malaya Faculty of Medicine, Kuala Lumpur, Malaysia.
PingLei ChuiDepartment of Nursing Science, Universiti Malaya Faculty of Medicine, Kuala Lumpur, Malaysia.
Mei Chan ChongDepartment of Nursing Science, Universiti Malaya Faculty of Medicine, Kuala Lumpur, Malaysia.
Jingru YuanSchool of Nursing, Henan University of Science and Technology, Luoyang, China.
Yongyan ZhuHenan Vocational College of Tuina, Luoyang, China.
Luyao LiuSchool of Nursing, Henan University of Science and Technology, Luoyang, China.
Zhenqing SunSchool of Nursing, Henan University of Science and Technology, Luoyang, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The rapid aging of China's population creates an urgent need for nursing students who possess core competencies in empathy, emotional intelligence, and caring behavior to meet the complex needs of older adults. Current educational approaches often emphasize technical skills at the expense of these essential humanistic qualities. Methods: This quasi experimental study evaluated the effectiveness of a 4 weeks Structured Community-based Older People Education (SCOPE) program, comparing it to standard curriculum. Participants included 190 third-year nursing students, assigned to either an intervention group ( Results: Students in the SCOPE group showed significant improvements in total empathy (increasing from 81.25 ± 0.85 at T0 to 94.90 ± 1.24 at T2), emotional intelligence (from 122.39 ± 1.10 to 142.63 ± 1.31), and caring behavior (from 177.72 ± 1.60 to 204.77 ± 2.12). These gains were significantly greater than those observed in the control group at both T1 and T2 ( Conclusion: SCOPE program significantly enhanced nursing students' humanistic competencies with immediate and retained benefits, suggesting the value of integrating structured experiential learning into nursing curricula.

Indexed as

caring behaviorcommunity-based educationemotional intelligenceempathynursing students

Identifiers

PMID41416086
PMCPMC12708329

What OpenQuestion holds

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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.