ArticleFrontiers in public health2025
Current status of nurses' public health emergency response capacity for emerging infectious disease: a cross-sectional study.
Article in Frontiers in public health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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
4 citing papers in PubMed.
- Trends and Core Competence Shifts in Nurses' Infectious Disease Emergency Response Competence Across COVID-19 Pandemic Phases: Repeated Cross-Sectional Survey and Network Analysis.JMIR public health and surveillance · 2026Article
- Emergency response capacity among nurses in tertiary hospitals: a latent profile analysis.Scientific reports · 2026Article
- OSH inspector ratio to strengthen decent workplace safety and health: a cross-regional trend analysis research.Frontiers in public health · 2026Article
- Higher BMI and extraversion are associated with greater button-press force in a lab setting.Frontiers in public health · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Objectives: This study aimed to assess the current status of nurses' public health emergency response capacity for emerging infectious diseases (EIDs) in tertiary hospitals in Beijing, explore the deficiencies of nurses' emergency response capacity, and analyze the influencing factors in the post-epidemic era. Methods: A convenience sampling method was utilized to recruit registered nurses in 3 tertiary hospitals in Beijing from 27 August and 2 September 2024. The research team designed a questionnaire that included basic information section and a section of questionnaire on public health emergency response capacity for EIDs. The overall Cronbach's Results: The study enrolled 1,484 registered nurses. A total of 1,446 valid questionnaires were maintained, resulting in a 97.4% valid response rate. The median score of nurses' public health emergency response capacity for EIDs was 177, indicating a modest level of competency. The analysis revealed statistically significant disparities in the scores of the dimensions of nurses' emergency response competencies (H = 1146.228, Conclusion: The findings revealed that the nurses' public health emergency response capacity for EIDs was at a moderate level and the capacity of the dimensions were unbalanced, necessitating targeted improvement. Future initiatives should prioritize strengthening theoretical reinforcement training and cognitive transformation programs for nurses, while accelerating the development of EID specialty nurses and inter-hospital collaboration. Existing training and educational mechanisms require optimization, with particular emphasis on organizational incentives alongside leadership modeling. Ensuring that nurses will have better performance in future public health emergencies for EIDs.
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.