Evidence map›Paper›PMID 41029686›Full record

ArticleBMC nursing2025

Digital resilience of clinical nurses: a concept analysis.

Yusheng Mo, Hongyan Zhang, Xinrui Bai, Shixia Lei, Lin Han

Abstract read
In one paragraph

Article in BMC nursing, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

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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

6 citing papers in PubMed.

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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

5 authors.

Yusheng Mo *Evidence-Based Nursing Centre, School of Nursing, Lanzhou University, Lanzhou City, Gansu Province, China.
Hongyan Zhang *Department of Nursing, Gansu Provincial Hospital, Lanzhou City, Gansu Province, China.
Xinrui BaiDepartment of Nursing, Gansu Provincial Hospital, Lanzhou City, Gansu Province, China.
Shixia LeiEvidence-Based Nursing Centre, School of Nursing, Lanzhou University, Lanzhou City, Gansu Province, China.
Lin HanEvidence-Based Nursing Centre, School of Nursing, Lanzhou University, Lanzhou City, Gansu Province, China. lzu-hanlin@hotmail.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundA rapid but profound shift, driven by digital technologies integration, is occurring within healthcare environments, which presents nurses with opportunities, challenges, and difficulties. To meet the digital challenges, the digital resilience of clinical nurses plays an important role. PURPOSE: This paper aims to conduct a comprehensive analysis of the concept of digital resilience of clinical nurses, including explaining its antecedents and consequences, constructing cases to make it more concrete and explicit, and finally extracting the key points of each section in order to construct a model for digital resilience of clinical nurses.

methodsWalker & Avant's classical conceptual analysis was used to examine the attributes, antecedents, and consequences of digital resilience of clinical nurses.

resultsThe digital resilience of clinical nurses is the positive power driven by intrinsic force when confronted with digital advancements in clinical environments, and its realistic performance is expressed as sustained dynamic feedback which consists of acquired behaviours. Digital resilience among clinical nurses empowers them to navigate the challenges of ongoing digital updates in healthcare environments.

conclusionsThis study has reviewed the core attributes and conceptual examples of digital resilience via the Walker & Avant's classical conceptual analysis methodology. The prospective model of digital resilience facilitates understandings of how nurses effectively navigate the sustained pressures arising from continual digital advancements within healthcare. The model should be further tested across diverse nursing communities to facilitate the development of tailored interventions. Such interventions, grounded in acquired behaviour performances and the activation of positive intrinsic power/force, are fundamental to nurses' digital resilience. Ongoing adjustments in response to sustained dynamic feedback remain equally critical.

Indexed as

Clinical nursesConcept analysisDigital resilienceNursing practice

Identifiers

PMID41029686
PMCPMC12487026

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LicenceCC BY-NC-ND
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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.