ArticleBMJ open quality2024
Reduction of hospital length of stay through the implementation of SAFER patient flow bundle and Red2Green days tool: a pre-post study.
Article in BMJ open quality, 2024. 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.
- Ready for Safe Cancer Treatment (RESET): Protocol for a Large-Scale Randomized Controlled Trial of an Integrated Perioperative Care and Safe-Discharge Pathway in Oncological and Older Surgical Patients.Methods and protocols · 2026Article
- Review
- Resource use and in-hospital costs after aneurysmal subarachnoid hemorrhage in the Netherlands.Brain & spine · 2025Article
- Affordances of Multidisciplinary Team Meetings as Team-Learning Activity: A Constraints-Led Approach for Continuous Health Profession Education.Perspectives on medical education · 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
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundIn 2018, the National Health System released the 'Guide to reducing long hospital stays' to stimulate improvement and decrease length of stay (LOS) in England hospitals. The SAFER patient flow bundle and Red2Green tool were described as strategies to be implemented in inpatient wards to reduce discharge delays.
objectiveTo verify if implementing the SAFER patient flow bundle and Red2Green days tool is associated with LOS reduction in the internal medicine unit (IMU) wards of a university hospital in Brazil.
methodsIn this pre post study, we compared the LOS of patients discharged from the IMU wards in 2019, during the implementation of the SAFER bundle and Red2Green tool, to the LOS of patients discharged in the same period in 2018. The Diagnosis-Related Group Brazil algorithm compared groups according to complexity and resource requirements. In-hospital mortality, readmission rates, the number of hospital acquired conditions and the number and causes of inappropriate hospital days were also evaluated.
resultsTwo hundred and eight internal medicine patients were discharged in 2018, and 252 were discharged in 2019. The median hospital LOS was significantly lower during the intervention period (14.2 days (IQR, 8-23) vs 19 days (IQR, 12-32); p<0.001). In-hospital mortality, 30-day mortality, readmission in 30 days and the number of hospital acquired conditions were the same between groups. Of the 3350 patient days analysed, 1482 (44.2%) were classified as green and 1868 (55.8%) as red. The lack of senior review was the most frequent cause of a red day (42.4%).
conclusionThe SAFER patient flow bundle and Red2Green days tool implementation were associated with a significant decrease in hospital LOS in a university hospital IMU ward. There is a considerable improvement opportunity for hospital LOS reduction by changing the multidisciplinary team's attitude during patient hospitalisation using these strategies.
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.