Evidence map›Paper›PMID 40070203›Full record

ArticleInternational nursing review2025

The relationship between nursing students' attitudes toward artificial intelligence and their creative personality traits.

Kübra Gülırmak Güler, Belgin Şen Atasayar

Abstract read
In one paragraph

Article in International nursing review, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. 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

2 authors.

Kübra Gülırmak GülerDepartment of Psychiatric Nursing, Faculty of Health Sciences, Ondokuz Mayıs University, Samsun, Turkey.ORCID https://orcid.org/0000-0003-4450-3737
Belgin Şen AtasayarDepartment of Surgical Diseases Nursing, Faculty of Health Sciences, Ondokuz Mayıs University, Samsun, Turkey.ORCID https://orcid.org/0000-0001-9680-7439

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimThe relationship between nursing students' attitudes toward artificial intelligence and their creative personality traits was examined in this study.

designThis study, conducted with 492 nursing students enrolled at a university in Turkey, was designed using a descriptive and relational methodology. The data were gathered through the "Personal Information Form," the "General Attitude Scale toward Artificial Intelligence," and the "Creative Personality Traits Scale."

methodsThe data for the research were gathered from surveys conducted between January 2024 and May 2024.

findingsThe average score for students' attitudes toward artificial intelligence was 74.52 ± 10.29, while the score for creative personality traits was 67.20 ± 10.34. Correlation analysis results indicate a strong relationship between these two factors (p < 0.05).

conclusionsNursing students' attitudes toward artificial intelligence and creative personality traits are above average. IMPLICATIONS FOR NURSING AND HEALTH POLICY: The development of creativity is crucial for effectively integrating artificial intelligence technologies into nursing practice. Additionally, this research highlights the need for policy development regarding regulations and ethical practices related to using artificial intelligence in healthcare services.

Indexed as

Artificial IntelligenceAttitude of Health PersonnelCreativityPersonalityStudents, NursingAdultFemaleHumansMaleSurveys and QuestionnairesTurkeyYoung AdultArtificial intelligenceattitudecreative personalitynursing student

Identifiers

PMID40070203
PMCPMC11897685

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.