Evidence map›Paper›PMID 41571003›Full record

SynthesisApplied clinical informatics2026

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

Fabio D'Agostino, Ilaria Erba, Elske Ammenwerth, Vered Robinzon, Gad Segal, Nissim Harel, Elisabetta Corvo, Refael Barkan, Hadas Lewy, Noemi Giannetta

Erratum issuedAbstract readSystematic Review
In one paragraph

Synthesis in Applied clinical informatics, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 1 paper, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed, 1 pooled it
–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

1 citing paper in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

10 authors.

Fabio D'AgostinoDepartment of Medicine, UniCamillus, Saint Camillus International University of Health Sciences, Rome, Italy.
Ilaria ErbaDepartment of Medicine, UniCamillus, Saint Camillus International University of Health Sciences, Rome, Italy.
Elske AmmenwerthUMIT TIROL, Private University for Health Sciences and Health Technology, Hall in Tirol, Austria.
Vered RobinzonSheba Medical Center, Tel-Hashomer, Ramat Gan, Israel.
Gad SegalSheba Medical Center, Tel-Hashomer, Ramat Gan, Israel.
Nissim HarelDepartment of Software Engineering, Azrieli College of Engineering, Jerusalem, Israel.
Elisabetta CorvoPrincipal Lecturer, School of Nursing, Midwifery, Allied and Public Health - Canterbury Christ Church University, United Kingdom.
Refael BarkanEntrepreneurship and Internationalization HIT-Holon Institute of Technology, Holon, Israel.
Hadas LewyDepartment of Digital Medical Technologies, HIT, Holon Institute of Technology, Holon, Israel.
Noemi GiannettaDepartment of Medicine, UniCamillus, Saint Camillus International University of Health Sciences, Rome, Italy.

Funding

European Union under the ERASMUS-EDU-2023-CB-VET programme 101128719
6 · The paper itself

Abstract

The digital transformation of healthcare is reshaping care delivery among healthcare professionals, requiring nurses to develop digital competencies. These competencies are essential but often underdeveloped due to limited training and resources. Global initiatives emphasize integrating these competencies into nursing education, necessitating valid instruments to assess them.This systematic review aims to identify instruments measuring digital competence in nursing and to assess their measurement properties.This review was registered in PROSPERO (identifier: CRD42024522349) and conducted according to PRISMA guidelines. A systematic search was performed in CINAHL, PubMed/MEDLINE, and Scopus on instruments assessing digital competencies in nursing and reporting measurement properties. Measurement properties and their methodological quality were assessed using the COSMIN criteria, and the overall quality of the evidence was graded using a modified GRADE approach.A total of 27 instruments were identified, relating to three interconnected constructs: nursing informatics, digital health, and information and communication technology. Based on their measurement properties, the instruments were categorized into three groups (A, B, C) following the COSMIN methodology to support recommendations for use. Six instruments were classified under category A (recommended for use): the DigiHealthCom and DigiComInf instruments, the Turkish version of TANIC, the short version of ITASH, the Digital Competence Questionnaire, and the 30-item Arabic version of SANICS. Twenty instruments were categorized under category B (potentially recommendable, but further validation is needed). One instrument was placed in category C (not recommended for use).As digital competence becomes an increasing priority in education and public health, valid and reliable instruments are essential for assessing and monitoring these competencies. Such instruments support the identification of training needs, the evaluation of educational outcomes, and the integration of digital skills into nursing curricula and clinical practice, ultimately strengthening the digital readiness of the nursing workforce.

Indexed as

NursingDigital HealthHumans

Identifiers

PMID41571003
PMCPMC12826851

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.