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Measurement Properties of Instruments Assessing Digital Competence in Nursing: A Systematic Review.

Fabio D'Agostino¹, Ilaria Erba^1,2, Elske Ammenwerth³

¹Department of Medicine, UniCamillus, Saint Camillus International University of Health Sciences, Rome, Italy.

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|January 22, 2026

Summary

This summary is machine-generated.

This systematic review identified 27 instruments to measure nurses

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Area of Science:

Nursing Informatics
Digital Health
Health Professions Education

Background:

Digital transformation in healthcare necessitates digital competencies for nurses.
Existing training and resources often leave these competencies underdeveloped.
Valid assessment instruments are crucial for nursing education and practice.

Purpose of the Study:

To systematically identify instruments measuring digital competence in nursing.
To assess the measurement properties and methodological quality of identified instruments.

Main Methods:

Systematic literature search across CINAHL, PubMed/MEDLINE, and Scopus.
Assessment of measurement properties using COSMIN criteria.
Grading of evidence quality using a modified GRADE approach.

Main Results:

27 instruments were identified, covering nursing informatics, digital health, and ICT.
Six instruments (DigiHealthCom, DigiComInf, TANIC-Turkish, ITASH-short, DCQ, SANICS-Arabic 30-item) are recommended (Category A).
Twenty instruments require further validation (Category B), and one is not recommended (Category C).

Conclusions:

Valid and reliable instruments are essential for assessing and monitoring nurses' digital competence.
Recommended instruments can guide the identification of training needs and curriculum integration.
Strengthening digital readiness in the nursing workforce is vital for modern healthcare.