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. 2021 Jul 3;21(1):639.
doi: 10.1186/s12913-021-06628-5.

Nurses and the acceptance of innovations in technology-intensive contexts: the need for tailored management strategies

Chiara Barchielli  1 , Cristina Marullo  2 , Manila Bonciani  2 , Milena Vainieri  2
Affiliations

Nurses and the acceptance of innovations in technology-intensive contexts: the need for tailored management strategies

Chiara Barchielli et al. BMC Health Serv Res. .

Abstract

Background: Several technological innovations have been introduced in healthcare over the years, and their implementation proved crucial in addressing challenges of modern health. Healthcare workers have frequently been called upon to become familiar with technological innovations that pervade every aspect of their profession, changing their working schedule, habits, and daily actions.

Purpose: An in-depth analysis of the paths towards the acceptance and use of technology may facilitate the crafting and adoption of specific personnel policies taking into consideration definite levers, which appear to be different in relation to the age of nurses.

Approach: The strength of this study is the application of UTAUT model to analyse the acceptance of innovations by nurses in technology-intensive healthcare contexts. Multidimensional Item Response Theory is applied to identify the main dimensions characterizing the UTAUT model. Paths are tested through two stage regression models and validated using a SEM covariance analysis.

Results: The age is a moderator for the social influence: social influence, or peer opinion, matters more for young nurse.

Conclusion: The use of MIRT to identify the most important items for each construct of UTAUT model and an in-depth path analysis helps to identify which factors should be considered a leverage to foster nurses' acceptance and intention to use new technologies (o technology-intensive devices).

Practical implications: Young nurses may benefit from the structuring of shifts with the most passionate colleagues (thus exploiting the social influence), the participation in ad hoc training courses (thus exploiting the facilitating conditions), while other nurses could benefit from policies that rely on the stressing of the perception of their expectations or the downsizing of their expectancy of the effort in using new technologies.

Keywords: Innovation; Nurses; Technology acceptance; Technology-intensive contexts.

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Conflict of interest statement

Not applicable.

Figures

Fig. 1
Fig. 1
MIRT model specification
Fig. 2
Fig. 2
test results of the basic UTAUT model
See this image and copyright information in PMC

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