Perceptions and Intentions of Nursing Students Regarding Digital Health: Cross-Sectional Study
Alexandre Castonguay, Sandrine Hegg-Deloye, Guy Paré, Faustin Armel Etindele Sosso

TL;DR
Nursing students in Quebec show varying levels of digital health skills and training, with older students more proficient but all feeling underprepared, highlighting the need for better digital training in nursing education.
Contribution
The study identifies a gap between institutional expectations and actual digital health training for nursing students, emphasizing the need for curricular reforms.
Findings
Third-year nursing students showed higher proficiency with digital tools like electronic medical records and virtual reality compared to first-year students.
Despite positive attitudes toward digital health technologies, students across all academic years reported low perceived training coverage for most tools.
The findings underscore the need for targeted curricular reforms to better align nursing education with the demands of technology-driven healthcare.
Abstract
The integration of digital health technologies (DHTs) in clinical practice is accelerating, creating a need for nursing students to develop digital competencies aligned with professional expectations. In Quebec, curricular reforms aim to enhance digital health literacy, but data are limited on students’ preparedness. This study aimed to assess nursing students’ perceptions, self-reported competencies, and willingness to engage with DHTs across different academic years. A cross-sectional descriptive survey assessing self-reported digital health competencies, attitudes, perceived training coverage, and intentions was conducted using an online questionnaire administered through Qualtrics. Participants (N=136) were recruited from 3 cohorts: first-year (group 1; n=58, 42.6%), second-year (group 2; n=55, 40.4%), and third-year (group 3; n=23, 16.9%) nursing students. Data were analyzed…
Genes, proteins, chemicals, diseases, species, mutations and cell lines named across the full text — each resolved to its canonical identifier and authoritative record.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsMobile Health and mHealth Applications · Health Education and Validation · Digital Mental Health Interventions
