Evidence map›Paper›PMID 40941558›Full record

ArticleHealthcare (Basel, Switzerland)2025

Unlocking the Determinants of Digital and Technological Self-Efficacy: Insights from a Cross-Sectional Study Among Nurses and Nursing Students.

Gianluca Conte, Cristina Arrigoni, Arianna Magon, Giada De Angeli, Giulia Paglione, Irene Baroni, Silvia Belloni, Greta Ghizzardi, Ippolito Notarnicola, Alessandro Stievano and 1 more

Abstract read
In one paragraph

Article in Healthcare (Basel, Switzerland), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

  1. Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors.

Gianluca ConteClinical Research Service, IRCCS Policlinico San Donato, 20097 San Donato Milanese, Italy.ORCID 0000-0002-8171-8203
Cristina ArrigoniDepartment of Public Health, Experimental and Forensic Medicine, University of Pavia, 27100 Pavia, Italy.
Arianna MagonClinical Research Service, IRCCS Policlinico San Donato, 20097 San Donato Milanese, Italy.ORCID 0000-0003-0440-6940
Giada De AngeliClinical Research Service, IRCCS Policlinico San Donato, 20097 San Donato Milanese, Italy.
Giulia PaglioneClinical Research Service, IRCCS Policlinico San Donato, 20097 San Donato Milanese, Italy.
Irene BaroniClinical Research Service, IRCCS Policlinico San Donato, 20097 San Donato Milanese, Italy.ORCID 0000-0002-1326-8642
Silvia BelloniDepartment of Public Health, Experimental and Forensic Medicine, University of Pavia, 27100 Pavia, Italy.ORCID 0000-0002-5187-2410
Greta GhizzardiSchool of Nursing, Azienda Socio Sanitaria Territoriale di Lodi, 26900 Lodi, Italy.ORCID 0000-0002-4192-7107
Ippolito NotarnicolaDepartment of Medicine and Surgery, Kore University of Enna, 94100 Enna, Italy.ORCID 0000-0002-4828-8811
Alessandro StievanoDepartment of Clinical and Experimental Medicine, University of Messina, 98122 Messina, Italy.ORCID 0000-0003-3508-2352
Rosario CarusoDepartment of Biomedical Sciences for Health, University of Milan, 20133 Milano, Italy.ORCID 0000-0002-7736-6209

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDigital self-efficacy is a crucial determinant of healthcare professionals' ability to adapt to technological innovations. Understanding its predictors among nurses and nursing students is essential for workforce readiness.

objectivesTo assess the level of digital self-efficacy and examine demographic, educational, and experiential factors associated with inadequate self-efficacy.

methodsThis cross-sectional study involved 1081 Italian nurses and nursing students. The Digitech-S scale was used to measure digital self-efficacy, with ≥70/100 indicating adequacy. Logistic regression was performed to identify predictors of inadequate self-efficacy.

resultsOnly 47.1% of participants demonstrated adequate self-efficacy. Females had twice the odds of inadequate self-efficacy compared to males (OR = 2.038,

conclusionsGender disparities persist in digital self-efficacy, and unexpectedly, students outperformed bachelor-level nurses. Findings highlight educational gaps and the importance of early exposure to technology. Tailored interventions are needed to strengthen digital readiness, which may improve care quality and healthcare system efficiency in the digital era.

Indexed as

determinantsdigital competencydigital literacydigital self-efficacyhealthcare technologynursesnursing educationnursing studentspredictorstechnology adoption

Identifiers

PMID40941558
PMCPMC12427988

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.