The Moderating Effects of Demographic and Individual Characteristics on Nurses’ Adoption of Mobile Applications

This study examined the moderating effects of nurses' demographic and individual characteristics on the factors influencing successful app implementation. A survey of 315 nurses explored relationships between determinant factors, such as perceived ease of use, social norms, technology anxiety, personal habits, perceived security risk, and demographic variables. Results showed that education level significantly influenced technology anxiety (p = 0.039) and perceived security risk (p = 0.015). Age was linked to ease of use (p = 0.012), while work shifts were related to technology anxiety and security concerns (p < 0.05). These findings provide insights for further research on app adoption and offer practical guidance for hospital managers and IT staff in integrating mobile apps into clinical practice.

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Publication Details

Journal
Studies in health technology and informatics
Published
2025-04-08
DOI
https://doi.org/10.3233/shti250088
Primary Topic
Mobile Health and mHealth Applications
Type
article
Field-Weighted Citation Impact
0.00
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article

The Moderating Effects of Demographic and Individual Characteristics on Nurses’ Adoption of Mobile Applications

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Studies in health technology and informatics
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The Moderating Effects of Demographic and Individual Characteristics on Nurses’ Adoption of Mobile Applications

Fatemeh Rangraz Jeddi, Zahra Meidani, Hossein Akbari, Zahra Tagharrobi, Walter Swoboda, Felix Holl, Narjes Mirabootalebi
article en

Abstract

This study examined the moderating effects of nurses' demographic and individual characteristics on the factors influencing successful app implementation. A survey of 315 nurses explored relationships between determinant factors, such as perceived ease of use, social norms, technology anxiety, personal habits, perceived security risk, and demographic variables. Results showed that education level significantly influenced technology anxiety (p = 0.039) and perceived security risk (p = 0.015). Age was linked to ease of use (p = 0.012), while work shifts were related to technology anxiety and security concerns (p < 0.05). These findings provide insights for further research on app adoption and offer practical guidance for hospital managers and IT staff in integrating mobile apps into clinical practice.

Studies in health technology and informaticsVol. 323
Kashan University of Medical Sciences (IR), Neu-Ulm University of Applied Sciences (DE), Leibniz ScienceCampus Primate Cognition (DE)
Quality Education
Openalex Percentile: Top 80%
Mobile Health and mHealth Applications
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