@Article{info:doi/10.2196/55324,
author="Mirabootalebi, Narjes
and Meidani, Zahra
and Akbari, Hossein
and Rangraz Jeddi, Fatemeh
and Tagharrobi, Zahra
and Swoboda, Walter
and Holl, Felix",
title="Design and Psychometric Evaluation of Nurses' Mobile Health Device Acceptance Scale (NMHDA-Scale): Application of the Expectation-Confirmation Theory",
journal="JMIR Hum Factors",
year="2024",
month="Sep",
day="17",
volume="11",
pages="e55324",
keywords="mobile health; acceptance; psychometric evaluation; nursing; Expectation-Confirmation Theory; smartphone",
abstract="Background: The use of mobile tools in nursing care is indispensable. Given the importance of nurses' acceptance of these tools in delivering effective care, this issue requires greater attention. Objective: This study aims to design the Mobile Health Tool Acceptance Scale for Nurses based on the Expectation-Confirmation Theory and to evaluate it psychometrically. Methods: Using a Waltz-based approach grounded in existing tools and the constructs of the Expectation-Confirmation Theory, the initial version of the scale was designed and evaluated for face and content validity. Construct validity was examined through exploratory factor analysis, concurrent validity, and known-group comparison. Reliability was assessed using measures of internal consistency and stability. Results: The initial version of the scale consisted of 33 items. During the qualitative and quantitative content validity stage, 1 item was added and 1 item was removed. Exploratory factor analysis, retaining 33 items, identified 5 factors that explained 70.53{\%} of the variance. A significant positive correlation was found between the scores of the designed tool and nurses' attitudes toward using mobile-based apps in nursing care (r=0.655, P<.001). The intraclass correlation coefficient, Cronbach $\alpha$, and $\omega$ coefficient were 0.938, 0.953, and 0.907, respectively. Conclusions: The 33-item scale developed is a valid and reliable instrument for measuring nurses' acceptance of mobile health tools. ",
issn="2292-9495",
doi="10.2196/55324",
url="https://humanfactors.jmir.org/2024/1/e55324",
url="https://doi.org/10.2196/55324"
}