Evidence map›Paper›PMID 36498419›Full record

ArticleInternational journal of environmental research and public health2022

Effective Response to Hospital Congestion Scenarios: Simulation-Based Evaluation of Decongestion Interventions.

Wanxin Hou, Shaowen Qin, Campbell Henry Thompson

Open access · goldAbstract read
In one paragraph

Article in International journal of environmental research and public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact, top 70% of its field
1 · What the graph read from 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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed, 0 citations in OpenAlex.

  1. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors at 3 institutions in 2 countries.

Wanxin HouSchool of Information Science and Technology, Research Centre for Intelligent Information Technology, Nantong University, Nantong 226019, China.
Shaowen QinCollege of Science and Engineering, Flinders University, Adelaide 5042, Australia.ORCID 0000-0002-3591-4959
Campbell Henry ThompsonSchool of Medicine, University of Adelaide, Adelaide 5005, Australia.ORCID 0000-0002-5164-3327
Flinders University · AUNantong University · CNThe University of Adelaide · AU

Funding

Natural Science Foundation of Nantong University 135420629152
6 · The paper itself

Abstract

Hospital overcrowding is becoming a major concern in the modern era due to the increasing demand for hospital services. This study seeks to identify effective and efficient ways to resolve the serious problem of congestion in hospitals by testing a range of decongestion strategies with simulated scenarios. In order to determine more efficient solutions, interventions with smaller changes were consistently tested at the beginning through a simulation platform. In addition, the implementation patterns were investigated, which are important to hospital managers with respect to the decisions made to control hospital congestion. The results indicated that diverting a small number of ambulances seems to be more effective and efficient in congestion reduction compared to other approaches. Furthermore, instead of implementing an isolated approach continuously, combining one approach with other strategies is recommended as a method for dealing with hospital overcrowding.

Indexed as

AmbulancesHospitalsComputer Simulationdecongestion scenariosefficiencyhospital congestionsimulation model

Identifiers

PMID36498419
PMCPMC9737001
OpenAlexW4311671792

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.