Evidence map›Paper›PMID 41808106›Full record

ArticleBMC nursing2026

Exploring the status and influencing factors of nurses' digital health literacy: a scoping review.

Caihua Ye, Deliang Hou, Minna Pikkarainen, Bocan Chen, Na Qin, Shaona Lin, Xinjun Jiang, Vivien Xi Wu

Abstract read
In one paragraph

Article in BMC nursing, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Review
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

8 authors.

Caihua Ye *School of Nursing, Hainan Medical University, Haikou, Hainan, China.
Deliang Hou *School of Nursing, Hainan Medical University, Haikou, Hainan, China.
Minna PikkarainenDepartment of Rehabilitation and Health Technology, Faculty of Health Sciences, Oslo Metropolitan University, Oslo, Norway.
Bocan ChenDepartment of Neurology, The Second Affiliated Hospital of Hainan Medical University, Haikou, Hainan, China.
Na QinSchool of Nursing, Hainan Medical University, Haikou, Hainan, China.
Shaona LinDepartment of Endocrinology, The Second Affiliated Hospital of Hainan Medical University, Haikou, Hainan, China.
Xinjun JiangSchool of Nursing, Hainan Medical University, Haikou, Hainan, China. jxinjun@muhn.edu.cn.ORCID http://orcid.org/0000-0002-6515-5180
Vivien Xi WuAlice Lee Centre for Nursing Studies, Yong Loo Lin School of Medicine, National University of Singapore, Kent Ridge, Singapore, Singapore.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe utilization of digital health technologies (DHT) among nurses remains notably low, primarily due to limited digital health literacy (DHL). Enhancing DHL among nursing staff is essential for improving healthcare delivery. Despite its importance, a comprehensive synthesis of existing literature on this subject is still lacking.

objectiveThis scoping review aims to summarize the current status, measurement instruments, and strategies to enhance nurses’ DHL, while identifying and categorizing influencing factors within a structured framework.

methodsA scoping review was conducted following a systematic search in PubMed, Ovid, Web of Science, the Cochrane Library, Scopus, WanFang, CNKI, and VIP from inception to January 2025. Supplementary manual searches were updated in November 2025 to identify additional eligible studies published between February and November 2025, and the final eligibility cutoff for inclusion was November 2025.

resultsA total of 21 studies were included, predominantly conducted in high-income and upper-middle-income countries. The reported formats and levels of nurses’ DHL varied considerably, generally indicating low proficiency. Only four general measurement tools were identified for assessing nurses’ DHL. Factors associated with DHL among nurses were categorized into three levels based on the social ecological model: individual, interpersonal, and organizational. Furthermore, included studies suggested a model-based mediating role for DHL at the individual level, with higher DHL linked to multiple positive outcomes. Only one study proposed a training program aimed at improving nurses’ DHL; however, its effectiveness remains unverified.

conclusionsResearch on nurses’ DHL is still emerging. There is an urgent need to develop a nursing-specific conceptual model, a standardized assessment framework, and dynamic measurement tools responsive to evolving Web 2.0 and Web 3.0 technologies. The integrated framework of influencing factors derived from the social ecological model provides a theoretical foundation and practical guidance for nursing leaders and researchers to develop targeted, multilevel interventions aimed at enhancing nurses’ DHL. REGISTRATION: Open Science Framework website (OSF.IO/N9HWQ).

Indexed as

Digital health literacyeHealth literacyInfluencing factorsNurseScoping reviews

Identifiers

PMID41808106
PMCPMC13088508

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

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 Socratic graph.