Evidence map›Paper›PMID 40224799›Full record

ArticleJournal of nursing management2024

Nursing Students' Personality Traits and Their Attitude toward Artificial Intelligence: A Multicenter Cross-Sectional Study.

Gihan Mohamed Mohamed Salem, Heba Emad El-Gazar, Abeer Yahia Mahdy, Talal Ali F Alharbi, Mohamed Ali Zoromba

Abstract readMulticenter Study
In one paragraph

Article in Journal of nursing management, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing 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

25 citing papers in PubMed.

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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

5 authors.

Gihan Mohamed Mohamed SalemPsychiatric and Mental Health Nursing Department Faculty of Nursing Benha University, Banha, Egypt.ORCID 0000-0001-6655-2201
Heba Emad El-GazarAdministration Department Faculty of Nursing Port Said University, Port Fuad, Egypt.ORCID 0000-0002-0185-859X
Abeer Yahia MahdyMedical-Surgical Nursing Department Faculty of Nursing Najran University, Najran, Saudi Arabia.ORCID 0000-0002-5045-3580
Talal Ali F AlharbiDepartment of Community Psychiatric and Mental Health Nursing College of Nursing Qassim University, Buraidah, Saudi Arabia.ORCID 0000-0003-0972-4294
Mohamed Ali ZorombaNursing Department College of Nursing Prince Sattam Bin Abdulaziz University, Al-Kharj, Saudi Arabia.ORCID 0000-0002-4298-1121

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Despite the importance of studying factors contributing to nursing students' attitudes toward artificial intelligence, yet according to our knowledge, no study has addressed the relationship between personality traits and the attitude of nursing students toward artificial intelligence. Aim: This study aimed to unveil whether nursing students' personality traits are related to their attitude toward AI. Methods: This multicenter cross-sectional study included 218 nursing students from three governmental universities across various regions of the Kingdom of Saudi Arabia. Data were gathered online, utilizing the Big Five Inventory, the General Attitudes toward Artificial Intelligence Scale, and a demographic questionnaire. Descriptive statistics, Pearson's correlation, and regression analysis were employed. The research complied with the STROBE checklist. Results: Findings indicated that nursing students with a high score in the openness trait displayed positive attitudes toward artificial intelligence. Conversely, those who scored high in neuroticism and agreeableness exhibited fewer positive attitudes toward artificial intelligence and more negative attitudes toward artificial intelligence. Additionally, nursing students who ranked high in conscientiousness showed a negative attitude toward artificial intelligence. Conclusion: Except for extraversion, personality traits appear to predict attitudes toward artificial intelligence.

Indexed as

Artificial IntelligenceAttitude of Health PersonnelPersonalityStudents, NursingAdultCross-Sectional StudiesFemaleHumansMalePsychometricsSaudi ArabiaSurveys and Questionnaires

Identifiers

PMID40224799
PMCPMC11919015

What OpenQuestion holds

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LicenceCC BY
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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.