Evidence map›Paper›PMID 40290268›Full record

ArticleDigital health

Effects of a virtual simulative diabetes care program on learning ability and clinical thinking skills in nursing interns.

Tianhui Xu, Qin Wang, Fang Liu, Li Yang, Rong Wang, Huiting Weng

Abstract read
In one paragraph

Article in Digital health. 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. Review
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

6 authors.

Tianhui XuClinical Nursing Teaching and Research Section, The Second Xiangya Hospital of Central South University, Changsha, Hunan, China.ORCID https://orcid.org/0009-0007-9564-6347
Qin WangClinical Nursing Teaching and Research Section, The Second Xiangya Hospital of Central South University, Changsha, Hunan, China.
Fang LiuClinical Nursing Teaching and Research Section, The Second Xiangya Hospital of Central South University, Changsha, Hunan, China.
Li YangClinical Nursing Teaching and Research Section, The Second Xiangya Hospital of Central South University, Changsha, Hunan, China.
Rong WangAdministrative Office,Changsha Hospital for Maternal & Child Health Care,Changsha, Hunan, China.
Huiting WengClinical Nursing Teaching and Research Section, The Second Xiangya Hospital of Central South University, Changsha, Hunan, China.ORCID https://orcid.org/0000-0002-6071-4369

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Diabetes is a major global health issue, requiring nursing interns to develop essential diabetes management skills. Traditional teaching methods are limited by clinical settings, hindering the development of comprehensive theoretical and clinical competencies. This study developed a Virtual Simulative Diabetes Care Program to address these limitations. Methods: A quasi-experimental design was employed. Nursing interns were assigned to an intervention group (virtual simulation) or a control group (traditional face-to-face training). Self-directed learning ability and clinical thinking skills were assessed using the validated Independent Learning Ability Scale and Clinical Thinking Skills Scale. Pre- and post-intervention measurements were conducted, and data were analyzed using independent Results: The intervention group showed significantly higher self-directed learning ability (104.53 ± 7.75 vs. 99.00 ± 13.77, Conclusions: The virtual simulation-based diabetes care program significantly improved nursing interns' learning and clinical skills.

Indexed as

Diabetes mellitusdigital healthmedical educationnursingprogram development

Identifiers

PMID40290268
PMCPMC12032435

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.