ReviewJournal of personalized medicine2022
Emergency Department Overcrowding: Understanding the Factors to Find Corresponding Solutions.
Review in Journal of personalized medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06157073 (A Randomized, Controlled Trial to Evaluate the Efficacy and Safety of Fully Automated Closed-loop Ventilator Versus Conventional Open-loop Ventilator in Ventilated Patients in the Emergency Department), which is not on this map. Cited by 138 papers, 3 of them syntheses that pooled 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.
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.
A Randomized, Controlled Trial to Evaluate the Efficacy and Safety of Fully Automated Closed-loop Ventilator Versus Conventional Open-loop Ventilator in Ventilated Patients in the Emergency Department
Who cites it
138 citing papers in PubMed, 3 syntheses or guidelines pooled it.
- Pooled it
- Experiences of individuals presenting to the emergency department for mental health reasons: A systematic mixed studies review.The Australian and New Zealand journal of psychiatry · 2024Pooled it
- Models to predict length of stay in the emergency department: a systematic literature review and appraisal.BMC emergency medicine · 2024Pooled it
- Validating the Emergency Department Avoidability Classification (EDAC): A cluster randomized single-blinded agreement study.PloS one · 2024Trial
- Assessing Decision-Making Tools for Meaningful Discussions About Transfer Decisions From Long-Term Care to Hospital: A Scoping Review.Journal of applied gerontology : the official journal of the Southern Gerontological Society · 2026Article
- A data-driven digital twin of emergency department flow to quantify congestion dynamics and test operational resilience.Internal and emergency medicine · 2026Article
- Identifying Avoidable Emergency Department Visits and the Potential Role of Community Health Centers in Northern Italy: A Retrospective Observational Study.Health care science · 2026Article
- Pathways of Patients With Neurological Emergencies at Pediatric Emergency Department: A Process-Based Data Mining Study.European journal of neurology · 2026Article
- A Lean-based Digital Twin model for planning and governance in secondary and tertiary hospital networks.BMC health services research · 2026Article
- Where's the way out? Access block, boarding and hospital overcrowding: a narrative review.Internal and emergency medicine · 2026Review
- Simulation of covariate and concept drift in machine learning hospital admission prediction from emergency triage.NPJ digital medicine · 2026Article
- Impact of pediatric urgent care clinics on emergency department utilization and patient flow: a pre-post cohort study in Saudi Arabia.BMC emergency medicine · 2026Observational
- Cardio-respiratory deep learning model to predict hospital admission from emergency department electrocardiogram images and respiration videos: a prospective study.BioData mining · 2026Article
- Operationalising adult eating disorders admission criteria in Australian emergency departments: a clinical decision-support approach.Journal of eating disorders · 2026Article
- Reducing unnecessary bed days to optimise flow and improve demand-capacity mismatch: learning from a system-wide patient flow collaborative.BMJ open quality · 2026Article
- Developing and validating an artificial intelligence-based electronic triage model for predicting clinical outcomes among cardiac-suspected patients in the emergency department.European heart journal. Digital health · 2026Article
- Review
- Overcrowding Indicators in Emergency Departments Across Countries: Scoping Review.Interactive journal of medical research · 2026Review
- Article
- Feasibility of portable telemedicine devices for ambulance-based prehospital triage: a comparative simulation study.Scandinavian journal of trauma, resuscitation and emergency medicine · 2026Article
78 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
10 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
It is certain and established that overcrowding represents one of the main problems that has been affecting global health and the functioning of the healthcare system in the last decades, and this is especially true for the emergency department (ED). Since 1980, overcrowding has been identified as one of the main factors limiting correct, timely, and efficient hospital care. The more recent COVID-19 pandemic contributed to the accentuation of this phenomenon, which was already well known and of international interest. Considering what would appear to be a trivial definition of overcrowding, it may seem simple for the reader to hypothesize solutions for what seems to be one of the most avoidable problems affecting the hospital system. However, proposing solutions to overcrowding, as well as their implementation, cannot be separated from a correct and precise definition of the issue, which must consider the main causes and aggravating factors. In light of the need of finding solutions that can put an end to hospital overcrowding, this review aims, through a review of the literature, to summarize the triggering factors, as well as the possible solutions that can be proposed.
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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.