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1.
Comput Inform Nurs ; 39(9): 477-483, 2021 Apr 26.
Artigo em Inglês | MEDLINE | ID: mdl-33901046

RESUMO

The world has seen an explosion in mobile device technology over the past decade, in addition to the impact that COVID-19 has placed on nursing education programs. More specifically, mobile devices have afforded users with endless possibilities. This upsurge in mobile technology has altered the way people use and interact with their device. One such example is how these devices are being utilized for the purposes of learning due to social distancing guidelines. Thus, it becomes important to explore and understand those factors that will influence the use of mobile devices for learning. The purpose of this study was to explore variables that might influence the adoption of mobile devices among nursing faculty. The Unified Theory of Acceptance and Use of Technology served as the theoretical basis for this study and guiding framework. An exploratory quantitative survey research design was utilized to explore specific variables and their impact on mobile device adoption among participants. It was found that 85%, six of the seven research variables were statistically significant predictors of mobile device adoption. Mobile devices have the potential to leverage a wealth of resources for both users and faculty. Therefore, recommendations for developing increased use of mobile device technology for teaching and learning will be suggested.


Assuntos
COVID-19 , Educação em Enfermagem , Aplicativos Móveis , Computadores de Mão , Humanos , SARS-CoV-2
2.
J Perinat Educ ; 27(3): 152-162, 2018 Jun.
Artigo em Inglês | MEDLINE | ID: mdl-30364311

RESUMO

The purpose of this research project was to determine if using the Coping with Labor Algorithm would lead to changes in the perception of the intrapartum (IP) nurses' beliefs toward birth practices and frequency of labor support interventions. Twenty-three participants completed the preintervention survey, which included the IP Nurses' Belief Toward Birth Practice Scale and the Labor Support Scale. Following completion of the preintervention survey, participants received a copy of the Coping with Labor Algorithm and Toolkit and then began implementation of the Coping with Labor Algorithm. After implementation, 13 IP nurses completed the postintervention survey. The surveyed IP nurses reported positive changes in their perceived frequency of labor support and a slight change in their birth beliefs.

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