Evidence map›Paper›PMID 42879445›Full record

ArticlePloS one2026

From skills to smart care: The mediating role of digital literacy in the relationship between digital competence and medical artificial intelligence readiness among nursing students.

Shaimaa Mohamed Amin, Heba Emad El-Gazar, Sameer A Alkubati, Mohamed Ali Zoromba, Heba Sobhy Mohamed, Mohammed Adel Abd Elhafeez Elbakry, Ahmed Farghaly Tawfik, Mohamed Hussein Ramadan Atta, Abeer Abd Elaziz Madian, Haitham Mokhtar Mohamed Abdallah and 2 more

Abstract read
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In one paragraph

Article in PloS one, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

12 authors.

Shaimaa Mohamed AminDepartment of Community, Psychiatric, and Mental Health Nursing, College of Nursing, Qassim University, Buraydah, Saudi Arabia.
Heba Emad El-GazarDepartment of Nursing Administration and Education, College of Nursing, Imam Mohammad Ibn Saud Islamic University (IMSIU), Riyadh, Saudi Arabia.
Sameer A AlkubatiDepartment of Medical Surgical Nursing, College of Nursing, University of Ha'il, Ha'il City, Saudi Arabia.ORCID https://orcid.org/0000-0001-8538-5250
Mohamed Ali ZorombaCollege of Nursing, Prince Sattam bin Abdulaziz University, Al-Kharj, Saudi Arabia.
Heba Sobhy MohamedNursing Administration Department, Faculty of Nursing, Zagazig University, Zagazig, Egypt.
Mohammed Adel Abd Elhafeez ElbakryNursing Administration Department, Faculty of Nursing, Zagazig University, Zagazig, Egypt.
Ahmed Farghaly TawfikPublic Health Nursing Department, College of Nursing, Northern Border University, Arar, Saudi Arabia.
Mohamed Hussein Ramadan AttaNursing Department, College of Applied Medical Sciences, Prince Sattam Bin Abdulaziz University, Wadi Addawasir, Saudi Arabia.
Abeer Abd Elaziz MadianCommunity Health Nursing Department, Faculty of Nursing, Damanhour University, Damanhour, Egypt.
Haitham Mokhtar Mohamed AbdallahCollege of Nursing, Medical Surgical Department, Jouf University, Sakaka, Saudi Arabia.
Hanadi DakhilallahDepartment of Nursing Administration and Education, College of Nursing, Imam Mohammad Ibn Saud Islamic University (IMSIU), Riyadh, Saudi Arabia.
Azza Abd Elrazek BarakaCollege of Nursing, King Saud Bin Abdulaziz University for Health Sciences, Al-Ahsa, Saudi Arabia.ORCID https://orcid.org/0000-0003-3670-2031

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The rapid integration of artificial intelligence (AI) in healthcare requires nurses to possess strong digital competence, advanced digital literacy, and readiness to engage with AI technologies. Despite this need, the ways in which digital competence influences AI readiness, and the mediating role of digital literacy, remain underexplored. This descriptive cross-sectional study examined 500 undergraduate nursing students from two Universities for Health Sciences in Saudi Arabia and Egypt using validated measures of digital competence, digital literacy, and medical AI readiness. Results indicated strong positive correlations between digital competence, digital literacy, and AI readiness, with digital literacy partially mediating the effect of digital competence on AI readiness. These findings highlight the importance of integrating ethical, reflective, and AI-focused digital literacy alongside technical skills in nursing education, ensuring that future nurses are prepared to use medical AI effectively and safely, thereby supporting clinical decision-making and improving quality of care.

Indexed as

Artificial IntelligenceComputer LiteracyStudents, NursingAdultCross-Sectional StudiesDigital HealthEgyptFemaleHumansMaleSaudi ArabiaYoung Adult

Identifiers

PMID42879445
PMCPMC13671568

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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.