Evidence map›Paper›PMID 32152158›Full record

ArticleBMJ open2020

Identifying the predictors of avoidable emergency department attendance after contact with the NHS 111 phone service: analysis of 16.6 million calls to 111 in England in 2015-2017.

Mark Egan, Filip Murar, James Lawrence, Hannah Burd

Abstract read
In one paragraph

Article in BMJ open, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Article
  2. Observational
  3. Evaluation of the performance of telephone triage service.Scandinavian journal of trauma, resuscitation and emergency medicine · 2025
    Article
  4. Article
  5. Article
  6. Article
  7. Article
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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

4 authors.

Mark EganThe Behavioural Insights Team, London, UK mark.egan@bi.team.
Filip MurarThe Behavioural Insights Team, London, UK.ORCID 0000-0001-6895-3594
James LawrenceThe Behavioural Insights Team, London, UK.
Hannah BurdThe Behavioural Insights Team, London, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesTo measure the frequency of patients making avoidable emergency department (ED) attendances after contact with NHS 111 and to examine whether these attendances can be predicted reliably.

designAnalysis of 16 563 946 calls made to 111, where each call was linked with a record of whether the patient attended ED within 24 hours.

settingAll regions of England from March 2015 to October 2017. PARTICIPANTS AND DATA: Our main regression model used a sample of 10 954 783 calls, each with detailed patient-level information. MAIN OUTCOME: Whether patients made an unadvised, non-urgent type 1 ED ('avoidable') attendance within 24 hours of calling 111.

resultsOf 16 563 946 calls to 111, 12 894 561 (77.8%) were not advised to go to ED (ie, they were advised to either attend primary care, attend another non-ED healthcare service or to self-care). Of the calls where the patient was not advised to go to the ED, 691 783 (5.4%) resulted in the patient making an avoidable ED attendance within 24 hours. Among other factors, calls were less likely to result in these attendances when they received clinical input (adjusted OR 0.52, 95% CI 0.51 to 0.53) but were more likely when the patient was female (OR 1.07, 95% CI 1.06 to 1.08) or aged 0-4 years (OR 1.34, 95% CI 1.33 to 1.35).

conclusionsFor every 20 calls where 111 did not advise people to attend the ED, 1 resulted in avoidable ED attendance within 24 hours. These avoidable attendances could be predicted, to a certain extent, based on call characteristics. It may be possible to use this information to help 111 call handlers identify which callers are at higher risk of these attendances.

Indexed as

HotlinesState MedicineChild, PreschoolEmergency Service, HospitalEnglandFemaleHumansInfantInfant, NewbornMaleSelf CareTelephoneaccident & emergency medicinehealth services administration & managementorganisation of health servicesrationing

Identifiers

PMID32152158
PMCPMC7066618

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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.