Evidence map›Paper›PMID 33207396›Full record

Observational studyEmergency medicine Australasia : EMA2020

Examining emergency department inequities: Descriptive analysis of national data (2006-2012).

Elana Curtis, Sarah-Jane Paine, Yannan Jiang, Peter Jones, Inia Tomash, Inia Raumati, Olivia Healey, Papaarangi Reid

Open access · hybridAbstract readObservational Study
In one paragraph

Observational study in Emergency medicine Australasia : EMA, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.1field-weighted citation impact, top 20% 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

3 citing papers in PubMed, 8 citations in OpenAlex.

  1. Article
  2. Disposition disparities in an urban tertiary emergency department.Emergency medicine Australasia : EMA · 2022
    Article
  3. Observational
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

8 authors at 3 institutions in 1 country.

Elana CurtisTe Kupenga Hauora Māori, Faculty of Medical and Health Sciences, The University of Auckland, Auckland, New Zealand.
Sarah-Jane PaineTe Kupenga Hauora Māori, Faculty of Medical and Health Sciences, The University of Auckland, Auckland, New Zealand.
Yannan JiangDepartment of Statistics, Faculty of Science, The University of Auckland, Auckland, New Zealand.
Peter JonesDepartment of Surgery, Faculty of Medical and Health Sciences, The University of Auckland, Auckland, New Zealand.ORCID 0000-0003-1560-1186
Inia TomashEmergency Medicine Research, Auckland City Hospital, Auckland, New Zealand.
Inia RaumatiEmergency Department, Auckland City Hospital, Auckland, New Zealand.
Olivia HealeyTe Kupenga Hauora Māori, Faculty of Medical and Health Sciences, The University of Auckland, Auckland, New Zealand.ORCID 0000-0002-7580-9424
Papaarangi ReidTe Kupenga Hauora Māori, Faculty of Medical and Health Sciences, The University of Auckland, Auckland, New Zealand.
University of Auckland · NZAuckland City Hospital · NZMiddlemore Hospital · NZ

Funding

Health Research Council of New Zealand 17/251
6 · The paper itself

Abstract

objectiveInternationally, Indigenous and minoritised ethnic groups experience longer wait times, differential pain management and less evaluation and treatment for acute conditions within emergency medicine care. Examining ED Inequities (EEDI) aims to investigate whether inequities between Māori and non-Māori exist within EDs in Aotearoa New Zealand (NZ). This article presents the descriptive findings for the present study.

methodsA retrospective observational study framed from a Kaupapa Māori positioning, EEDI uses secondary data from emergency medicine admissions into 18/20 District Health Boards in NZ between 2006 and 2012. Data sources include variables from the Shorter Stays in ED National Research Project database and comorbidity data from NZ's National Minimum Dataset. The key predictor of interest is patient ethnicity with descriptive variables, including sex, age group, area deprivation, mode of presentation, referral method, Australasian Triage Scale and trauma status.

resultsThere were a total of 5 972 102 ED events (1 168 944 Māori, 4 803 158 non-Māori). We found an increasing proportion of ED events per year, with a higher proportion of Māori from younger age groups and areas of high deprivation compared to non-Māori events. Māori also had a higher proportion of self-referral and were triaged to be seen within a longer time frame compared to non-Māori.

conclusionOur findings show that there are different patterns of ED usage when comparing Māori and non-Māori events. The next level of analysis of the EEDI dataset will be to examine whether there are any associations between ethnicity and ED outcomes for Māori and non-Māori patients.

Indexed as

Emergency Medical ServicesEthnicityEmergency Service, HospitalHumansNew ZealandPopulation GroupsRetrospective Studiesemergency medicineethnicityindigenousinequity

Identifiers

PMID33207396
PMCPMC7756375
OpenAlexW3099114069

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.