Evidence map›Paper›PMID 31550288›Full record

ArticlePloS one2019

Anatomy of a demand shock: Quantitative analysis of crowding in hospital emergency departments in Victoria, Australia during the 2009 influenza pandemic.

Peter Sivey, Richard McAllister, Hassan Vally, Anna Burgess, Anne-Maree Kelly

Registry-linked trialOpen access · goldAbstract read
In one paragraph

Article in PloS one, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05126641 (Analysis of Emergency Department Visits According to Incidence of Covid-19 in French Metropolis), which is not on this map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
2.1field-weighted citation impact, top 13% 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.

NCT05126641 completednot on this mapstarted 2020, after this paper: background citation

Analysis of Emergency Department Visits According to Incidence of Covid-19 in French Metropolis : a One-year Multicenter Observational Retrospective Study.

TypeobservationalSponsorCentre Hospitalier de RoubaixRan2020 to 2021Enrolled400,000ConditionsEmergency Service, Hospital, Epidemiology
3 · Its place in the literature

Who cites it

8 citing papers in PubMed, 13 citations in OpenAlex.

  1. Article
  2. Observational
  3. Article
  4. Article
  5. Emergency department operations in a large health system during COVID-19.The American journal of emergency medicine · 2021
    Article
  6. Article
  7. Article
  8. Article
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

5 authors at 5 institutions in 1 country.

Peter SiveySchool of Economics, Finance and Marketing, RMIT University, Melbourne, Victoria, Australia.ORCID 0000-0002-3703-615X
Richard McAllisterDepartment of Education and Training, Australian Government, Canberra, ACT, Australia.
Hassan VallyDepartment of Public Health, La Trobe University, Melbourne, Victoria, Australia.
Anna BurgessDepartment of Health and Human Services (Victoria), Melbourne, Victoria, Australia.
Anne-Maree KellyJoseph Epstein Centre for Emergency Medicine Research at Western Health and School of Medicine-Western Clinical School, The University of Melbourne, Parkville, Victoria, Australia.
Australian Government · AUDepartment of Health and Human Services · AULa Trobe University · AURMIT University · AUThe University of Melbourne · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveAn infectious disease outbreak such as the 2009 influenza pandemic is an unexpected demand shock to hospital emergency departments (EDs). We analysed changes in key performance metrics in (EDs) in Victoria during this pandemic to assess the impact of this demand shock. DESIGN AND

settingDescriptive time-series analysis and longitudinal regression analysis of data from the Victorian Emergency Minimum Dataset (VEMD) using data from the 38 EDs that submit data to the state's Department of Health and Human Services.

main outcome measuresDaily number of presentations, influenza-like-illness (ILI) presentations, daily mean waiting time (time to first being seen by a doctor), daily number of patients who did-not-wait and daily number of access-blocked patients (admitted patients with length of stay >8 hours) at a system and hospital-level.

resultsDuring the influenza pandemic, mean waiting time increased by up to 25%, access block increased by 32% and did not wait presentations increased by 69% above pre-pandemic levels. The peaks of all three crowding variables corresponded approximately to the peak in admitted ILI presentations. Longitudinal fixed-effects regression analysis estimated positive and statistically significant associations between mean waiting times, did not wait presentations and access block and ILI presentations.

conclusionsThis pandemic event caused excess demand leading to increased waiting times, did-not-wait patients and access block. Increases in admitted patients were more strongly associated with crowding than non-admitted patients during the pandemic period, so policies to divert or mitigate low-complexity non-admitted patients are unlikely to be effective in reducing ED crowding.

Indexed as

CrowdingDisease OutbreaksEmergency Service, HospitalHealth Services Needs and DemandHospitalizationHumansInfluenza, HumanLength of StayPandemicsTime FactorsWorkload

Identifiers

PMID31550288
PMCPMC6759189
OpenAlexW2975184792

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.