Evidence map›Paper›PMID 40830479›Full record

ArticleBMC nursing2025

Managerial agility in nursing: a concept analysis.

Hamed Gholizad Gougjehyaran, Reza Nematollahi Maleki, Mohammad Hasan Sahebihagh

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 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. Article
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

3 authors.

Hamed Gholizad GougjehyaranStudent Research Committee, Tabriz University of Medical Sciences, Tabriz, Iran.
Reza Nematollahi MalekiStudent Research Committee, Tabriz University of Medical Sciences, Tabriz, Iran.
Mohammad Hasan SahebihaghDepartment of Community Health Nursing, Health Service Management Research Center, Tabriz University of Medical Sciences, Tabriz, Iran. msahebihagh@gmail.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundNursing management has been a cornerstone of the healthcare system, playing a crucial role in ensuring high-quality care. However, the dynamic nature of healthcare environments necessitates managerial agility to respond effectively to emerging challenges. Despite its significance, the concept of managerial agility in nursing remains underexplored, with unclear dimensions and implications.

methodsThis study employed Walker and Avant's concept analysis approach to clarify the concept of managerial agility in nursing. A comprehensive literature review was conducted using databases such as PubMed, Scopus, CINAHL, and SID. Keywords including "managerial agility," "nursing management," and "healthcare leadership" were utilized in English and Persian, applying Boolean operators "AND" and "OR" to refine the search.

resultsManagerial agility in nursing encompasses crisis management proficiency, proactive foresight, swift and informed decision-making, resource and workforce flexibility, and innovative problem-solving in healthcare settings. It involves integrating innovative strategies, fostering resilience, and ensuring effective leadership to enhance patient care and organizational efficiency.

conclusionsThe findings underscore the necessity of reinforcing managerial agility in nursing education, practice, and policy-making. Enhancing this competency can contribute to improved decision-making, better resource management, and higher-quality patient care. Future research should focus on developing frameworks to operationalize managerial agility in diverse nursing contexts.

Indexed as

Concept analysisManagerial agilityNursing management

Identifiers

PMID40830479
PMCPMC12363086

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.