Evidence map›Paper›PMID 37113422›Full record

ArticleJournal of education and health promotion2023

Mobile technology acceptance among undergraduate nursing students instructed by blended learning at selected educational institutions in South India.

Kannan Shanmugapriya, Avudaiappan Seethalakshmi, Zayapragassarazan Zayabalaradjane, Nagasubramanian Ravi Vanitha Rani

Abstract read
In one paragraph

Article in Journal of education and health promotion, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

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3 · Its place in the literature

Who cites it

9 citing papers in PubMed.

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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.

Kannan ShanmugapriyaMedical-Surgical Nursing, College of Nursing, Jawaharlal Institute of Postgraduate Medical Education and Research (JIPMER), Gorimedu, Dhanvantri Nagar, Puducherry, India.
Avudaiappan SeethalakshmiDepartment of Nursing Foundation, Faculty of Nursing, Sri Ramachandra Institute of Higher Education and Research (DU), Porur, Chennai, Tamil Nadu, India.
Zayapragassarazan ZayabalaradjaneDepartment of Medical Education, Jawaharlal Institute of Postgraduate Medical Education and Research (JIPMER), Gorimedu, Dhanvantri Nagar, Puducherry, India.
Nagasubramanian Ravi Vanitha RaniDepartment of Pharmacy Practice, Sri Ramachandra Institute of Higher Education and Research (DU), Porur, Chennai, Tamil Nadu, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMobile phones have become a widely accepted learning mode due to the impact of COVID-19. This study explores the mobile technology acceptance, among nursing students at selected educational institutions in South India. MATERIALS AND

methodsQuantitative cross-sectional descriptive design. First-year 176 B.Sc. nursing students who underwent blended learning were selected by the purposive sampling method. The tool "Technology Acceptance Model" was used to collect responses. Bivariate analysis was used to determine the relationship between the demographic and study-related variables with the mobile technology acceptance using SPSS version 25.0.

resultsThe majority 73.9% of the students belonged to the age group of 18-19 years, females 76.7% and, 98.9% were unmarried. Among the constructs of TAM, a mean (SD) value of 22.08 (2.26) was found for material (mobile device audio/video) characteristics the mean (SD) value was 22.08 (2.26), attitude about use 17.58 (1.95), behavioral intention 17.46 (1.78) and system characteristics 17.21 (2.27). The mobile technology acceptance revealed that 126 (71.6%) strongly agreed, 49 (27.8%) agreed, and 1 (0.6%) was neutral with a mean (SD) of 105.19 (8.68), respectively. A positive correlation was found between the system characteristics, material characteristics, perceived ease to use, perceived usefulness, attitude about the use, behavioral intention with a

conclusionNursing students had a positive acceptance and behavior toward smartphone use.

Indexed as

Mobile phonemobile technologynursing studentstechnology acceptance

Identifiers

PMID37113422
PMCPMC10127508

What OpenQuestion holds

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LicenceCC BY-NC-SA
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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.