Evidence map›Paper›PMID 40069766›Full record

ArticleBMC nursing2025

Knowledge, attitudes, and practices toward AI technology (ChatGPT) among nursing students at Palestinian universities.

Nisreen Salama, Rebhi Bsharat, Abdallah Alwawi, Zuheir N Khlaif

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In one paragraph

Article in BMC nursing, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed, 2 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

17 citing papers in PubMed, 2 syntheses or guidelines pooled it.

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  12. Rapid review on GenAI in nursing education.Frontiers in health services · 2025
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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

4 authors.

Nisreen SalamaFaculty of Nursing, Arab American University, Jenin, Palestine. nisreen.salama@aaup.edu.
Rebhi BsharatNursing Collage, Ramallah, Palestine.
Abdallah AlwawiNursing Department, Al-Quds University, Jerusalem, Palestine.
Zuheir N KhlaifFaculty of Humanities and Educational Sciences, A Najah National University, Nablus, Palestine.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAI can improve medical practice, address staff shortages, and enhance diagnostic efficiency. The ChatGPT of Open AI, launched in 2022, uses AI in medical education. However, the long-term impact is uncertain, and integration varies globally, particularly in the Middle East.

aimTo explore the knowledge, practices, and attitudes of nursing students in Palestinian universities regarding AI, specifically the use of ChatGPT. METHODOLOGY: A cross-sectional design was used to conduct this study. The study was performed at 8 private and governmental universities in the West Bank, Palestine, from 1st May 2024 to 30 May 2024, and 304 nursing students participated.

resultsThe study revealed that 84.5% of nursing students at Palestinian universities were aware of AI technology, yet 69.9% lacked formal education or training related to ChatGPT. Despite this gap, 79% supported the integration of AI into nursing curricula and specialized training programs, reflecting strong optimism about its role in education and healthcare. While 58.6% had used AI in their coursework and 68.1% felt comfortable with technology, disparities in proficiency and access remain key barriers to effective AI integration. Major challenges to AI adoption in Palestine include insufficient training, the absence of AI-focused curricula, and financial constraints, underscoring the need for institutional and pedagogical reforms. Concerns about AI's reliability, costs, and potential diagnostic errors persist, emphasizing the complexities of its integration into nursing education and practice.

conclusionThis study highlights the knowledge, attitudes, and practices of Palestinian nursing students regarding AI and ChatGPT. It reveals that, despite growing awareness, the lack of formal education on AI underscores the need for comprehensive curricula. While students' express optimism about AI's potential in healthcare, concerns about its reliability and integration persist. The study also reveals that barriers such as inadequate training, limited curricula, and financial constraints must be addressed to effectively integrate AI into nursing education and prepare students for its expanding role in healthcare.

Indexed as

AI technologyArtificial intelligence in nursing educationAttitudesChatGPTKnowledgeMiddle East healthcare technologyNursingPracticesStudents university

Identifiers

PMID40069766
PMCPMC11895262

What Socratic 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 Socratic graph.