Evidence map›Paper›PMID 36650039›Full record

Observational studyEmergency medicine journal : EMJ2023

Factors associated with longer wait times, admission and reattendances in older patients attending emergency departments: an analysis of linked healthcare data.

Laia Maynou, Andrew Street, Christopher Burton, Suzanne M Mason, Tony Stone, Graham Martin, James van Oppen, Simon Conroy

Abstract readObservational Study
In one paragraph

Observational study in Emergency medicine journal : EMJ, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
–field-weighted citation impact
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

12 citing papers in PubMed.

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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.

Laia MaynouDepartment of Econometrics, Statistics and Applied Economics, Universitat de Barcelona, Barcelona, Spain laia.maynou@ub.edu.ORCID http://orcid.org/0000-0002-0447-2959
Andrew StreetDepartment of Health Policy, The London School of Economics and Political Science, London, UK.ORCID http://orcid.org/0000-0002-2540-0364
Christopher BurtonCentre for Urgent and Emergency Care Research, School of Health and Related Research, The University of Sheffield, Sheffield, UK.ORCID http://orcid.org/0000-0003-0233-2431
Suzanne M MasonCentre for Urgent and Emergency Care Research, School of Health and Related Research, The University of Sheffield, Sheffield, UK.ORCID http://orcid.org/0000-0002-1701-0577
Tony StoneCentre for Urgent and Emergency Care Research, School of Health and Related Research, The University of Sheffield, Sheffield, UK.ORCID http://orcid.org/0000-0002-0167-3800
Graham MartinTHIS Institute, University of Cambridge, Cambridge, UK.ORCID http://orcid.org/0000-0003-1979-7577
James van OppenDepartment of Health Sciences, University of Leicester, Leicester, UK.ORCID http://orcid.org/0000-0002-2570-7112
Simon ConroyMedical Research Council Unit for Lifelong Health and Ageing, University College London, London, UK.ORCID http://orcid.org/0000-0002-4306-6064

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND AND

objectiveCare for older patients in the ED is an increasingly important issue with the ageing society. To better assess the quality of care in this patient group, we assessed predictors for three outcomes related to ED care: being seen and discharged within 4 hours of ED arrival; being admitted from ED to hospital and reattending the ED within 30 days. We also used these outcomes to identify better-performing EDs.

methodsThe CUREd Research Database was used for a retrospective observational study of all 1 039 251 attendances by 368 754 patients aged 75+ years in 18 type 1 EDs in the Yorkshire and the Humber region of England between April 2012 and March 2017. We estimated multilevel logit models, accounting for patients' characteristics and contact with emergency services prior to ED arrival, time variables and the ED itself.

resultsPatients in the oldest category (95+ years vs 75-80 years) were more likely to have a long ED wait (OR=1.13 (95% CI=1.10 to 1.15)), hospital admission (OR=1.26 (95% CI=1.23 to 1.29)) and ED reattendance (OR=1.09 (95% CI=1.06 to 1.12)). Those who had previously attended (3+ vs 0 previous attendances) were more likely to have long wait (OR=1.07 (95% CI=1.06 to 1.08)), hospital admission (OR=1.10 (95% CI=1.09 to 1.12)) and ED attendance (OR=3.13 (95% CI=3.09 to 3.17)). Those who attended out of hours (vs not out of hours) were more likely to have a long ED wait (OR=1.33 (95% CI=1.32 to 1.34)), be admitted to hospital (OR=1.19 (95% CI=1.18 to 1.21)) and have ED reattendance (OR=1.07 (95% CI=1.05 to 1.08)). Those living in less deprived decile (vs most deprived decile) were less likely to have any of these three outcomes: OR=0.93 (95% CI=0.92 to 0.95), 0.92 (95% CI=0.90 to 0.94), 0.86 (95% CI=0.84 to 0.88). These characteristics were not strongly associated with long waits for those who arrived by ambulance. Emergency call handler designation was the strongest predictor of long ED waits and hospital admission: compared with those who did not arrive by ambulance; ORs for these outcomes were 1.18 (95% CI=1.16 to 1.20) and 1.85 (95% CI=1.81 to 1.89) for those designated less urgent; 1.37 (95% CI=1.33 to 1.40) and 2.13 (95% CI=2.07 to 2.18) for urgent attendees; 1.26 (95% CI=1.23 to 1.28) and 2.40 (95% CI=2.36 to 2.45) for emergency attendees; and 1.37 (95% CI=1.28 to 1.45) and 2.42 (95% CI=2.26 to 2.59) for those with life-threatening conditions. We identified two EDs whose patients were less likely to have a long ED, hospital admission or ED reattendance than other EDs in the region.

conclusionsAge, previous attendance and attending out of hours were all associated with an increased likelihood of exceeding 4 hours in the ED, hospital admission and reattendance among patients over 75 years. These differences were less pronounced among those arriving by ambulance. Emergency call handler designation could be used to identify those at the highest risk of long ED waits, hospital admission and ED reattendance.

Indexed as

HospitalizationWaiting ListsAgedDelivery of Health CareEmergency Service, HospitalHospitalsHumansPatient AdmissionRetrospective Studiesemergency ambulance systemsemergency care systemsemergency departmentgeriatrics

Identifiers

PMID36650039
PMCPMC10086302

What OpenQuestion holds

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Registered trials

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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.