ReviewJournal of nursing management2026
Nursing Workforce Preparedness and Resilience in Health Emergencies (2000-2025): A Bibliometric Review of Thematic Evolution and Emerging Hotspots.
Review in Journal of nursing management, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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.
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.
Who cites it
1 citing paper in PubMed.
- Nursing Workforce Preparedness and Resilience in Health Emergencies (2000-2025): A Bibliometric Review of Thematic Evolution and Emerging Hotspots.Journal of nursing management · 2026Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
aimTo map research on nursing workforce preparedness and resilience in health emergencies from 2000 to 2025 and propose an integrated framework.
designBibliometric review with science mapping and thematic evolution.
methodsScopus was searched for journal articles and reviews on nursing workforce preparedness and resilience in health emergencies published from 2000 to 2025. Records were screened using year, language, document type, duplicate title, and metadata-based scope criteria. Co-citation and co-word analyses were conducted to map intellectual foundations and conceptual structures. Time-sliced analysis examined thematic evolution across 2000-2009, 2010-2019, and 2020-2025, while emerging hotspots were identified using keyword growth and recency indicators.
resultsThe final retained corpus included 7570 documents, composed of 6950 articles and 620 reviews. Publication output showed a marked post-2020 surge. Co-citation analysis highlighted intellectual foundations related to disaster nursing competence, psychological resilience and mental health, leadership, staffing, safety, and workforce systems. Co-word analysis indicated major domains of clinical competence, emergency and acute-care delivery, pandemic-related psychological burden and resilience, workforce organization and emergency service capacity, and nursing education for disaster preparedness. Emerging hotspots included burnout, moral distress, resilience, telemedicine, mental health, and qualitative inquiry.
conclusionNursing workforce preparedness research has evolved into a multidimensional, system-oriented agenda that integrates competence, resilience, and structural readiness. IMPLICATIONS FOR NURSING MANAGEMENT: Nurse managers should treat emergency preparedness as a strategic workforce-management responsibility, not only as a clinical or disaster-planning task. The findings support competency-based preparedness training, workforce policies for surge staffing and role deployment, organizational capacity building, mental health and resilience supports, leadership preparation, safety infrastructure, and data-informed preparedness planning to sustain nursing performance during future health emergencies.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.