ArticleJournal of nursing management2025
Changing the Organizational Structure and Enhancing Nurse-Staffing Levels Based on Patient Acuity in a Tertiary Referral Hospital.
Article in Journal of nursing management, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 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
2 citing papers in PubMed.
- Article
- Associations of safe nurse staffing coverage and care complexity factors with nursing-sensitive adverse events in cardiac inpatients: a cross-sectional multicenter study.Frontiers in cardiovascular medicine · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Aims: To enhance nurse-staffing levels in the wards of a tertiary referral hospital by applying a patient classification system based on patient acuity, setting up a new organizational structure in the hospital wards. Design: A retrospective analysis based on administrative data from an electronic patient database. Methods: The data were obtained from the clinical data warehouse of multiple databases from a tertiary referral hospital in Spain and analyzed from January 1st, 2018, to December 31st, 2019. The care plan and the weight of the main diagnosis from 52,974 adult patients admitted to 40 hospital units were analyzed and classified into patient acuity using the acute to intensive care (ATIC) classification system. The frequency of the ten acuity groups was analyzed, and the optimal patient-to-nurse ratio was defined according to the system and the hours effectively assigned to the care units. The percentage of patient needs that were met was also established. Finally, the distribution of the wards was rearranged based on the results. Results: The findings show that patients were mostly clustered in the following groups according to their acuity level: intensification (38.1%), intermediate (30.4%), and acute (21.8%). Therefore, the wards were reorganized into the three dominant levels: four acute, 17 intensification, and 19 intermediate units. A viable model was implemented to provide the number of nurse/patient/day hours by incorporating 104 nurses and improving nursing coverage by 17.4%. Conclusion: The structuring of care units according to the intensity of care has resulted in a significant enhancement in nursing coverage by improving the hours of care needed according to acuity levels. Implications for Patient Care: The findings provide valuable information regarding nurse staffing in hospitals, emphasizing the importance of defining the optimal patient-to-nurse ratio. Establishing this ratio is crucial for improving care quality and ensuring patient safety. Reporting Method: This study's methods and results have been reported following the STROBE checklist. Patient or Public Contributions: No patient or public contributed to design this research. However, patients will contribute later as part of a broader project when we explore their perception following the implementation of a management model based on nursing care intensity.
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.