Evidence map›Paper›PMID 40722156›Full record

ArticleBMC nursing2025

Applying the technology acceptance model to examine factors influencing chatbot use in HPV prevention education among nursing students.

Ching-Yi Lai, Wei-Sho Ho

Abstract read
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 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

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

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

2 authors.

Ching-Yi LaiDepartment of Nursing, Central Taiwan University of Science and Technology, No. 666, Buzi Road, Beitun District, Taichung City, 406053, Taiwan.
Wei-Sho HoDepartment of Industrial Education and Technology, National Changhua University of Education, Bao-Shan Campus, No.2, Shi-Da Road, Changhua City, 500208, Taiwan. homaintain@gmail.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundHuman papillomavirus (HPV) is one of the most common sexually transmitted infections worldwide. However, its coverage in nursing curricula is often limited. Chatbots offer a novel approach to enhance digital health education, yet their acceptance among nursing students remains underexplored.

objectiveThis study examined nursing students' acceptance and use of an HPV prevention chatbot, based on the Technology Acceptance Model (TAM).

methodsA cross-sectional study was conducted with 210 nursing students in central Taiwan. Participants engaged with a LINE-based chatbot that included thematic modules, an HPV knowledge assessment, and an expert Q&A. Data were analyzed using descriptive statistics, t-tests, ANOVA, Pearson correlation, and linear regression. Open-ended feedback was also analyzed.

resultsPerceived ease of use significantly predicted perceived usefulness (β = 0.859, p < 0.001). Both predicted attitude (R² = 82.2%), which, along with usefulness, predicted behavioral intention (R² = 90.8%). Behavioral intention strongly predicted actual use (β = 0.933, p < 0.001, R² = 87.1%). Age, prior chatbot experience, and number of sexual partners significantly influenced perceived usefulness and perceived ease of use.

conclusionThe chatbot was well accepted and effectively improved HPV-related knowledge. Results support integrating chatbot technology into nursing education to enhance engagement and learning in sexual health topics.

Indexed as

ChatbotCollege studentsHPVHuman papillomavirusTAMTechnology acceptance model

Identifiers

PMID40722156
PMCPMC12306007

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.