Evidence map›Paper›PMID 42154813›Full record

ArticlePloS one2026

Emergency department wait time in Newfoundland and Labrador, Canada: Trends and projections of physician initial assessment 2015-2026.

Moein Yoosefi, Armin Hatefi, Hensley H Mariathas, Christopher Patey, Paul Norman, Oliver Hurley, Bahareh Ahmadzadeh, Aswathy Geetha Manukumar, Anna Walsh, Shabnam Asghari

Abstract read
In one paragraph

Article in PloS one, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0cells of the map it votes in
0citing papers in PubMed
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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

10 authors.

Moein YoosefiDepartment of Mathematics and Statistics, Memorial University of Newfoundland, St. John's, Newfoundland, Canada.ORCID https://orcid.org/0009-0000-5478-7695
Armin HatefiDepartment of Mathematics and Statistics, Memorial University of Newfoundland, St. John's, Newfoundland, Canada.
Hensley H MariathasCentre for Rural Health Studies, Faculty of Medicine, Memorial University of Newfoundland, St. John's, Newfoundland, Canada.ORCID https://orcid.org/0000-0001-6007-4763
Christopher PateyFamily & Emergency Medicine, Discipline of Family Medicine, Faculty of Medicine, Memorial University of Newfoundland, St. John's, Newfoundland, Canada.
Paul NormanCarbonear Institute for Rural Reach and Innovation by the Sea, Carbonear General Hospital, Carbonear, Newfoundland, Canada.
Oliver HurleyNewfoundland and Labrador Health Services, Department of Quality and Learning Health Systems, Data and Information Services, St. John's, Newfoundland and Labrador, Canada.
Bahareh AhmadzadehCentre for Rural Health Studies, Faculty of Medicine, Memorial University of Newfoundland, St. John's, Newfoundland, Canada.
Aswathy Geetha ManukumarCentre for Rural Health Studies, Faculty of Medicine, Memorial University of Newfoundland, St. John's, Newfoundland, Canada.ORCID https://orcid.org/0009-0004-2915-9143
Anna WalshCentre for Rural Health Studies, Faculty of Medicine, Memorial University of Newfoundland, St. John's, Newfoundland, Canada.
Shabnam AsghariCentre for Rural Health Studies, Faculty of Medicine, Memorial University of Newfoundland, St. John's, Newfoundland, Canada.ORCID https://orcid.org/0000-0002-4970-0978

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThis study aims to analyze and project the trend of physician initial assessment (PIA) time in rural and urban emergency departments (ED's) across Newfoundland and Labrador, Canada, considering different levels of the Canadian Triage and Acuity Scale (CTAS).

methodsThe data for this study were obtained from the Newfoundland and Labrador Health Services Digital Health Department (NLHS-DH), sourced from electronic health records of emergency departments in Newfoundland and Labrador, from April 2015 to the end of 2021. A mixed-effects model was used to analyze trends in PIA time. This process also projects the mean PIA time from 2015 to 2026 across different rural/urban areas and CTAS levels (3-5). Furthermore, the Monte Carlo simulation methods are employed to estimate the uncertainty interval associated with PIA time.

resultsOur projection showed that the overall mean PIA time in Newfoundland and Labrador emergency departments is expected to increase from a model-estimated 1 hour and 32 minutes in 2015 to a projected 2 hours and 59 minutes in 2026, corresponding to a 94.3% increase over the study period. This increasing trend is observed across various rural and urban areas, including varying CTAS levels. Urban regions are projected to have the biggest change, with a PC of 126.73% as compared to rural areas. The greatest overall change in PIA time is from 1 hour 25 minutes in 2015 to 3 hours 44 minutes in 2026 for CTAS 5 (PC = 163.34). However, when considering rural and urban areas separately, the most notable shift occurs for CTAS level 3 for both areas.

conclusionPIA time trends and patterns have drastically changed across CTAS levels 3-5 in both rural and urban areas. An intervention is needed to control the increasing delay in PIA time, with a particular emphasis on urgent patients residing in rural areas.

Indexed as

Emergency Service, HospitalPhysiciansWaiting ListsHumansNewfoundland and LabradorTime FactorsTriage

Identifiers

PMID42154813
PMCPMC13186388

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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.