Evidence map›Paper›PMID 42063087›Full record

ArticleBMC nursing2026

Metaphorical perspectives of pediatric nurses on the use of artificial intelligence in the education of children with chronic diseases.

Elif Bakır, Tuğçe Torun, Handan Özdemir

Abstract read
In one paragraph

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

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

3 authors.

Elif BakırFaculty of Nursing, Hacettepe University, Ankara, Turkey, Adnan Saygun Str., 06100.
Tuğçe TorunFaculty of Nursing, Hacettepe University, Ankara, Turkey, Adnan Saygun Str., 06100. tugcearas@hacettepe.edu.tr.
Handan ÖzdemirHacettepe University, İhsan Doğramacı Children's Hospital, Ankara, Turkey.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeThis study aimed to explore pediatric nurses' perceptions of using artificial intelligence in the education of children with chronic diseases through metaphor analysis. DESIGN AND

methodsThis study was designed as a qualitative descriptive study using metaphor-based content analysis. Sixty pediatric nurses from a university hospital participated. The data were collected using a semi-structured metaphor form and analyzed using content analysis. The metaphors generated by the participants were organized into thematic categories to identify underlying perceptions and attitudes toward artificial intelligence use in pediatric care.

resultsMost participants were female (95%), and only 20% reported prior experience with artificial intelligence. A total of 42 distinct metaphors were identified. These metaphors were grouped into five themes: "providing information and guidance role," "supportive and helpful role," "understanding complexity and multidimensionality," "social-emotional support role," and "technology and mechanical power role." The most frequently used metaphor was "guide," followed by private tutor, machine, smart friend, helping hand, translator, compass, school, information pool, lantern, and light.

conclusionsThe findings suggest that pediatric nurses generally have positive perceptions of artificial intelligence, though they may underestimate its ethical and safety challenges due to limited training and experience. It is essential to strengthen nurses' artificial intelligence literacy, ethical awareness and decision-support competencies through education and scenario-based training programs to ensure the safe and effective integration of artificial intelligence technologies into pediatric nursing practice.

Indexed as

Artificial intelligenceChronic diseasesMetaphor analysisPediatric nursing

Identifiers

PMID42063087
PMCPMC13288574

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

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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.