Evidence map›Paper›PMID 42540641›Full record

ArticleActa medica Philippina2026

Use of ChatGPT among Student Nurses in Baguio City, Philippines: A Cross-sectional Study.

Carl Austin T Lacanlale, Cherylina G Dalilis, Breanna Stefanie S Gayagay, Sarah May D Da-O, Tiziana M Bilog, Francesca Anne D Bacsa, Dominique Anne P Lauzon, Abigail Mariano, Shevawn T Rabara, Ron Andrei A Reyes and 1 more

Abstract read
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Article in Acta medica Philippina, 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
–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

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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

1 citing paper in PubMed.

  1. Article
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

11 authors.

Carl Austin T LacanlaleSaint Louis University, Baguio City, Benguet, Philippines.
Cherylina G DalilisSaint Louis University, Baguio City, Benguet, Philippines.
Breanna Stefanie S GayagaySaint Louis University, Baguio City, Benguet, Philippines.
Sarah May D Da-OSaint Louis University, Baguio City, Benguet, Philippines.
Tiziana M BilogSaint Louis University, Baguio City, Benguet, Philippines.
Francesca Anne D BacsaSaint Louis University, Baguio City, Benguet, Philippines.
Dominique Anne P LauzonSaint Louis University, Baguio City, Benguet, Philippines.
Abigail MarianoSaint Louis University, Baguio City, Benguet, Philippines.
Shevawn T RabaraSaint Louis University, Baguio City, Benguet, Philippines.
Ron Andrei A ReyesSaint Louis University, Baguio City, Benguet, Philippines.
Jessica Loren M TorioSaint Louis University, Baguio City, Benguet, Philippines.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background and Objectives: ChatGPT, an advanced artificial intelligence (AI) platform developed by OpenAI, is increasingly used in nursing education and practice. However, limited studies have explored its use among student nurses and how factors such as sex and year level affect its adoption. Addressing this gap is essential to ensure the responsible integration of AI and preserve nursing competencies, such as critical thinking and problem-solving. This study aimed to determine the extent of ChatGPT use among student nurses, including differences between sexes and year level, as well as the factors that facilitate or hinder its use. Methods: This quantitative descriptive study involved student nurses from Saint Louis University, Baguio City, selected through proportionate random sampling in February 2024. Participants were aged 18 years or older, enrolled in the 2023-2024 academic year, and had prior experience using ChatGPT. The researchers administered a 30-item self-developed questionnaire, which demonstrated strong content validity (CVI = 0.92) and reliability (Cronbach's α = 0.85). Researchers used weighted mean to measure the extent of ChatGPT use, two-sample t-tests, and ANOVA to evaluate significant differences by sex and year level, and frequency and percentage to identify the most common factors that facilitate and hinder its use. All analyses were conducted using Jamovi version 2.4. Results: Student nurses (N = 300) reported a slightly extensive use of ChatGPT (x̄w = 2.40), with quick response time (x̄ = 2.85) and concise summarization of key concepts (x̄ = 2.85) as the main reasons for use. There were no significant differences in use between sexes ( Conclusion: The adoption of ChatGPT among student nurses is driven by its ease of use, perceived usefulness, and quality of responses, as reflected in participants' moderate to slightly extensive use for summarizing concepts, generating ideas, and obtaining explanations. In light of these findings, nursing programs should incorporate ChatGPT as a supportive learning resource while guiding its responsible use. Future research should ensure balanced gender representation, consider demographic factors such as age and technological proficiency, and explore ChatGPT's applications across disciplines using qualitative or mixed-methods approaches.

Indexed as

artificial intelligenceChatGPTeducationnursing

Identifiers

PMID42540641
PMCPMC13426376

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.