ReviewEmergency medicine international2022
Strategies to Improve Patient Flow in the Emergency Department during the COVID-19 Pandemic: A Narrative Review of Our Experience.
Review in Emergency medicine international, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 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
5 citing papers in PubMed.
- Impact of negative-pressure room utilization in the emergency department on hospitalized pneumonia patients during the COVID-19 pandemic in Thailand.Acute and critical care · 2026Article
- Quality improvement in the era of boarding and burnout: A postpandemic blueprint.Journal of the American College of Emergency Physicians open · 2024Article
- Article
- The Inflow, Throughput and Outflow of COVID-19 Patients in Dutch Hospitals: Experiences from Experts and Middle Managers.Healthcare (Basel, Switzerland) · 2023Article
- The Patient Flow Effect of Pandemic Policies: A Hybrid Simulation Study in a Norwegian Emergency Department.Healthcare (Basel, Switzerland) · 2022Article
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
Objective: The COVID-19 pandemic has resulted in a tremendous strain on the global healthcare system. Emergency departments worldwide have been challenged to the extreme end. This has led clinicians and policy creators to rearrange patient flow pathways for an efficient emergency department (ED). Methods: It was reported according to our experience of utilizing a novel strategy to enhance patient flow while reducing the risk of infection transmission among patients and healthcare staff. This included the development of three layers of triage. First, an outer checkpoint prior to the hospital entrance was established to identify eligible patients for emergency department visits. The second layer of triage is located at the ED entrance to direct patients either to the respiratory or nonrespiratory care area to identify potentially infected patients and the third is the routine full triage activity. Then, after completing a clinical assessment in the ED, physicians determine the need for an inpatient isolation unit, a nonisolation inpatient unit, or discharge. Moreover, examples of additional measures were substantial changes to shift schedules; rerouting ambulance crews with COVID patients to inpatient beds directly bypassing the ED; controlled use of personal protective equipment (PPE); and implementing appropriate COVID-19 screening tests. Results: During the peak of the pandemic, our strategies achieved favorable results and minimized unnecessary ED visits without any patient complications. Conclusion: This current study provides a set of newly developed steps and procedures that can be further control patient flow pathways and maintain a low risk of infection transmission to a manageable level for an efficient ED.
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.