Evidence map›Paper›PMID 40665324›Full record

ArticleBMC nursing2025

Unlocking innovation and resilience among emergency nurses through cultural intelligence: insights from a structural equation model.

Nadia Hassan Ali Awad, Boshra Karem Mohamed El-Sayed, Heba Mohamed Al-Anwer Ali Ashour

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 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 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

3 authors.

Nadia Hassan Ali AwadNursing Administration Department, Faculty of Nursing, Alexandria University, Alexandria, Egypt.
Boshra Karem Mohamed El-SayedNursing Administration Department, Faculty of Nursing, Alexandria University, Alexandria, Egypt. boshra-karem@alexu.edu.eg.
Heba Mohamed Al-Anwer Ali AshourNursing Administration Department, Faculty of Nursing, Alexandria University, Alexandria, Egypt.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe dynamic, multicultural healthcare environment and increasing worker diversity highlight the importance of cultural intelligence (CQ). High cultural intelligence helps employees seek colleague assistance, enhances resilience, and encourages innovative behavior. This study aims to develop a structural equation model (SEM) to test the impact of culture intelligence as a mediating factor between resilience and innovative work behavior (IWB) among emergency care nurses.

methodsA convenience sample of 276 nurses from four emergency departments in Alexandria participated in a cross-sectional, correlational study. Three validated scales were used to measure the study variables.

resultsThe study found that nurses had moderate mean scores for culture intelligence (58.94%), resilience (58.40%), and innovative work behavior (61.49%). The structural equation model analysis showed a good fit (CFI = 1.000, IFI = 1.000, RMSEA = 0.063), confirming that culture intelligence mediates the relationship between resilience and innovative work behavior, with a p-value less than 0.05.

conclusionsThe study highlights the significant influence of cultural intelligence on resilience and innovative work behavior in emergency nurses. The findings contribute to the growing literature by establishing a model linking these variables, emphasizing the role of cultural intelligence in enhancing resilience and creativity in high-pressure settings. Human resource managers should implement cultural intelligence-focused educational programs and revise recruitment criteria to select nurses with high cultural intelligence traits. CLINICAL TRIAL NUMBER: Not applicable.

Indexed as

Cultural intelligenceCultural quotientEmergency nursesInnovative work behaviorResilience

Identifiers

PMID40665324
PMCPMC12261539

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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.