Factors associated with the perceptions of eHealth technology of Chinese nurses and nursing students

Factors associated with the perceptions of eHealth technology of Chinese nurses and nursing students

Aim
The current study sought to assess the perceptions of eHealth technology of nurses and nursing students in China and to examine the association between these perceptions and demographic factors.
Background
Despite the increasing use of eHealth technologies in China and across the globe, the perceptions of practicing and student nurses remain minimally explored. Findings from such an inquiry can potentially inform actions and policies to improve the uptake of eHealth technologies among Chinese nurses.
Design
This was a cross-sectional study with a real-time online survey.
Methods
A convenience sample of 1338 nurses and nursing students from Mainland China participated in the study. Their perceptions of eHealth technology were collected using the Chinese version of the Perceptions of eHealth Technology Scale. The Kruskal-Wallis test and multiple linear regression analysis were used to examine the relationship between demographic variables (age group, gender, occupation, education level, position and clinical experience) and perceptions of eHealth technology. All study procedures adhered to the STROBE guidelines.
Results
Most participants were aged between 20 and 29 (55.8%). Nearly half (42.5%) were frontline clinical nursing staff, some were nursing students (36.2%), academic nursing staff (12.3%) and clinical nursing management staff (9.0%). Regardless of the differences in their demographic characteristics, the participants had higher mean scores in “Perception of eHealth applications” and lower mean scores in “Knowledge of eHealth technology”. Participants with doctoral degree had a higher mean total score and higher sub-scale scores in knowledge of eHealth technology, perception of the advantages of eHealth technology and perception of eHealth applications; and the lowest scores in perception of the disadvantages of eHealth technology and perception of eHealth applications. Occupation, position and clinical experience were found to be the demographic characteristics associated with eHealth perceptions, before adjusting for age and gender. Education level was associated with eHealth perceptions regardless of adjustment.
Conclusion
Overall, participants had higher scores on perceptions of eHealth applications but lower scores on knowledge of eHealth technology. Considering the association between education and all subscales and overall scores, it may be essential to implement continuing professional education for nurses to improve their knowledge of eHealth applications. Encouragement to use available eHealth digital technologies may also be helpful to improve perceptions of eHealth.

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