Evidence map›Paper›PMID 42216846›Full record

ArticleJournal of nursing management2026

Parents' Perspectives on Artificial Intelligence-Supported Pediatric Healthcare Services: A Descriptive and Correlational Study.

Bengisu Akoglu, Aysegul Simsek

Abstract read
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Article in Journal of nursing management, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

2 authors.

Bengisu AkogluDepartment of Nursing, Faculty of Health Sciences, Istanbul Gelisim University, Istanbul, Turkey, gelisim.edu.tr.ORCID https://orcid.org/0009-0007-0089-9086
Aysegul SimsekDepartment of Pediatric Nursing, Faculty of Health Sciences, Marmara University, Istanbul, Turkey, marmara.edu.tr.ORCID https://orcid.org/0000-0002-2166-1778

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe increasing integration of artificial intelligence (AI) into healthcare systems highlights the need to examine parents' knowledge, attitudes, and concerns, as they play a significant role in decision-making regarding pediatric care. This study aimed to assess parents' knowledge levels, attitudes, and concerns regarding AI in pediatric healthcare services.

methodsThis descriptive and correlational study was conducted with 71 parents between November 2024 and January 2025. Data were collected online by using the Child and Parent Information Form, Information Form for Artificial Intelligence-Based Applications (For Parents), and Artificial Intelligence Anxiety Scale. Participants were recruited via web-based messaging applications using a convenience sampling method. Descriptive statistics and Mann-Whitney U, Kruskal-Wallis, and Spearman correlation tests were applied in the analyses; the significance level was set at p < 0.05.

resultsThe mean age of parents was 34.6 years, and 63.4% were mothers. Most participants (80.3%) reported insufficient knowledge about AI. The mean score on the AI Anxiety Scale was 113.9 (±30.14), indicating high anxiety levels. Scale scores differed significantly by age, education, employment status, internet health research, attitude toward AI use in hospitals, and trust in AI (p < 0.05). While 60.6% did not support AI use in hospitals, 73.2% had positive attitudes toward AI-supported robots for their children.

conclusionParents generally have limited knowledge about AI but high concerns, especially regarding data security and privacy. While attitudes toward AI use in hospitals were cautious, parents showed conditional acceptance of AI-supported applications for children. The findings underscore the importance of educational initiatives to support the safe and ethical use of AI in pediatric healthcare; however, these results should be interpreted with caution due to the relatively small sample size and the use of convenience sampling, which may limit the generalizability of the findings.

Indexed as

Artificial IntelligenceParentsPediatricsAdultChildFemaleHealth Knowledge, Attitudes, PracticeHumansMaleMiddle AgedSurveys and Questionnairesanxietyartificial intelligencehealth literacyparentspediatrics

Identifiers

PMID42216846
PMCPMC13239038

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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.