Accepted for/Published in: JMIR Human Factors
Date Submitted: Dec 9, 2023
Date Accepted: Jul 2, 2024
Warning: This is an author submission that is not peer-reviewed or edited. Preprints - unless they show as "accepted" - should not be relied on to guide clinical practice or health-related behavior and should not be reported in news media as established information.
Design and Psychometric Evaluation of the Mobile Health Tool Acceptance Scale for Nurses (NMHDA-Scale): Application of the Expectation-Confirmation Theory
ABSTRACT
Background:
The use of mobile health tools in nursing care is indispensable. Given the importance of nurses' acceptance of these tools in providing nursing services
Objective:
: This study aimed to design the Mobile Health Tool Acceptance Scale for nurses based on the Expectation-Confirmation Theory and to evaluate it psychometrically
Methods:
In this methodological study, using a Waltz-based approach grounded in existing tools, and considering the constructs of the Expectation-Confirmation Theory, the initial version of the scale was designed, and its face and content validity were assessed. A total of 250 eligible clinical nurses in Kashan City in the year 1401 were selected through a stratified random sampling method The construct validity was examined using exploratory factor analysis, concurrent validity, known-group comparison, and reliability were assessed using internal consistency and stability. Ceiling and floor effects were also evaluated. Data were analyzed using SPSS, including exploratory factor analysis, one-way analysis of variance, intraclass correlation coefficients, Pearson correlation, and Cronbach's alpha and omega coefficients
Results:
The initial version of the scale consisted of 33 items. In the stage of qualitative and quantitative content validity, one item was added and one item was removed. Exploratory factor analysis with the retention of 33 items identified 6 factors (explained variance = 70.539%). A significant positive correlation was found between the scores of the designed tool and nurses' attitudes toward the use of mobile-based applications in nursing care (r = 0.655, p < 0.001). There was a significant difference in the acceptance score of the Mobile Health Tool Acceptance Scale among nurses based on their agreement or disagreement with the use of mobile health tools in nursing care (p < 0.001). The intraclass correlation coefficients, Cronbach's alpha, and omega coefficients were 0.938, 0.953, and 0.907, respectively. The standard measurement error and the smallest detectable change were calculated as 0.184 and 1.91, respectively. The minimum and maximum possible scores that could be obtained from the scale were zero.
Conclusions:
The 33-item scale developed can be used as a valid and reliable instrument to measure the acceptance of mobile health tools among nurses
Citation
