Evidence map›Paper›PMID 35446886›Full record

ArticlePloS one2022

To what extent do callers follow the advice given by a non-emergency medical helpline (NHS 111): A retrospective cohort study.

Mable Angela Nakubulwa, Geva Greenfield, Elena Pizzo, Andreas Magusin, Ian Maconochie, Mitch Blair, Derek Bell, Azeem Majeed, Ganesh Sathyamoorthy, Thomas Woodcock

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
4.1field-weighted citation impact, top 6% 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

11 citing papers in PubMed, 16 citations in OpenAlex.

  1. Review
  2. Observational
  3. Article
  4. Article
  5. Evaluation of the performance of telephone triage service.Scandinavian journal of trauma, resuscitation and emergency medicine · 2025
    Article
  6. Article
  7. Observational
  8. Article
  9. Article
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  11. 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

10 authors at 3 institutions in 1 country.

Mable Angela NakubulwaDepartment of Primary Care and Public Health, School of Public Health, Imperial College London, London, United Kingdom.ORCID 0000-0002-4822-9993
Geva GreenfieldDepartment of Primary Care and Public Health, School of Public Health, Imperial College London, London, United Kingdom.
Elena PizzoDepartment of Applied Health Research, University College London, London, United Kingdom.
Andreas MagusinNHS North and East London Commissioning Support Unit, London, United Kingdom.
Ian MaconochieDepartment of Paediatric Emergency Medicine, Division of Medicine, St. Mary's Hospital-Imperial College NHS Healthcare Trust, London, United Kingdom.ORCID 0000-0001-6319-8550
Mitch BlairDepartment of Primary Care and Public Health, School of Public Health, Imperial College London, London, United Kingdom.
Derek BellDepartment of Primary Care and Public Health, School of Public Health, Imperial College London, London, United Kingdom.
Azeem MajeedDepartment of Primary Care and Public Health, School of Public Health, Imperial College London, London, United Kingdom.
Ganesh SathyamoorthyDepartment of Primary Care and Public Health, School of Public Health, Imperial College London, London, United Kingdom.
Thomas WoodcockDepartment of Primary Care and Public Health, School of Public Health, Imperial College London, London, United Kingdom.ORCID 0000-0002-4735-4856
Imperial College London · GBImperial College Healthcare NHS Trust · GBUniversity College London · GB

Funding

Department of Health
6 · The paper itself

Abstract

National Health Service (NHS) 111 helpline was set up to improve access to urgent care in England, efficiency and cost-effectiveness of first-contact health services. Following trusted, authoritative advice is crucial for improved clinical outcomes. We examine patient and call-related characteristics associated with compliance with advice given in NHS 111 calls. The importance of health interactions that are not face-to-face has recently been highlighted by COVID-19 pandemic. In this retrospective cohort study, NHS 111 call records were linked to urgent and emergency care services data. We analysed data of 3,864,362 calls made between October 2013 and September 2017 relating to 1,964,726 callers across London. A multiple logistic regression was used to investigate associations between compliance with advice given and patient and call characteristics. Caller's action is 'compliant with advice given if first subsequent service interaction following contact with NHS 111 is consistent with advice given. We found that most calls were made by women (58%), adults aged 30-59 years (33%) and people in the white ethnic category (36%). The most common advice was for caller to contact their General Practitioner (GP) or other local services (18.2%) with varying times scales. Overall, callers followed advice given in 49% of calls. Compliance with triage advice was more likely in calls for children aged <16 years, women, those from Asian/Asian British ethnicity, and calls made out of hours. The highest compliance was among callers advised to self-care without the need to contact any other healthcare service. This is one of the largest studies to describe pathway adherence following telephone advice and associated clinical and demographic features. These results could inform attempts to improve caller compliance with advice given by NHS 111, and as the NHS moves to more hybrid way of working, the lessons from this study are key to the development of remote healthcare services going forward.

Indexed as

COVID-19State MedicineAdultChildFemaleHumansPandemicsRetrospective StudiesTelephoneTriage

Identifiers

PMID35446886
PMCPMC9022858
OpenAlexW4224230339

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.