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Telephone triage for management of same-day consultation requests in general practice (the ESTEEM trial): a cluster-randomised controlled trial and cost-consequence analysis

Overview of attention for article published in The Lancet, August 2014
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  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (99th percentile)
  • High Attention Score compared to outputs of the same age and source (94th percentile)

Mentioned by

news
5 news outlets
blogs
5 blogs
policy
3 policy sources
twitter
195 X users
facebook
5 Facebook pages

Citations

dimensions_citation
160 Dimensions

Readers on

mendeley
345 Mendeley
citeulike
1 CiteULike
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Title
Telephone triage for management of same-day consultation requests in general practice (the ESTEEM trial): a cluster-randomised controlled trial and cost-consequence analysis
Published in
The Lancet, August 2014
DOI 10.1016/s0140-6736(14)61058-8
Pubmed ID
Authors

John L Campbell, Emily Fletcher, Nicky Britten, Colin Green, Tim A Holt, Valerie Lattimer, David A Richards, Suzanne H Richards, Chris Salisbury, Raff Calitri, Vicky Bowyer, Katherine Chaplin, Rebecca Kandiyali, Jamie Murdoch, Julia Roscoe, Anna Varley, Fiona C Warren, Rod S Taylor

Abstract

Telephone triage is increasingly used to manage workload in primary care; however, supporting evidence for this approach is scarce. We aimed to assess the effectiveness and cost consequences of general practitioner-(GP)-led and nurse-led telephone triage compared with usual care for patients seeking same-day consultations in primary care. We did a pragmatic, cluster-randomised controlled trial and economic evaluation between March 1, 2011, and March 31, 2013, at 42 practices in four centres in the UK. Practices were randomly assigned (1:1:1), via a computer-generated randomisation sequence minimised for geographical location, practice deprivation, and practice list size, to either GP-led triage, nurse-led computer-supported triage, or usual care. We included patients who telephoned the practice seeking a same-day face-to-face consultation with a GP. Allocations were concealed from practices until after they had agreed to participate and a stochastic element was included within the minimisation algorithm to maintain concealment. Patients, clinicians, and researchers were not masked to allocation, but practice assignment was concealed from the trial statistician. The primary outcome was primary care workload (patient contacts, including those attending accident and emergency departments) in the 28 days after the first same-day request. Analyses were by intention to treat and per protocol. This trial was registered with the ISRCTN register, number ISRCTN20687662. We randomly assigned 42 practices to GP triage (n=13), nurse triage (n=15), or usual care (n=14), and 20,990 patients (n=6695 vs 7012 vs 7283) were randomly assigned, of whom 16,211 (77%) patients provided primary outcome data (n=5171 vs 5468 vs 5572). GP triage was associated with a 33% increase in the mean number of contacts per person over 28 days compared with usual care (2·65 [SD 1·74] vs 1·91 [1·43]; rate ratio [RR] 1·33, 95% CI 1·30-1·36), and nurse triage with a 48% increase (2·81 [SD 1·68]; RR 1·48, 95% CI 1·44-1·52). Eight patients died within 7 days of the index request: five in the GP-triage group, two in the nurse-triage group, and one in the usual-care group; however, these deaths were not associated with the trial group or procedures. Although triage interventions were associated with increased contacts, estimated costs over 28 days were similar between all three groups (roughly £75 per patient). Introduction of telephone triage delivered by a GP or nurse was associated with an increase in the number of primary care contacts in the 28 days after a patient's request for a same-day GP consultation, with similar costs to those of usual care. Telephone triage might be useful in aiding the delivery of primary care. The whole-system implications should be assessed when introduction of such a system is considered. Health Technology Assessment Programme UK National Institute for Health Research.

X Demographics

X Demographics

The data shown below were collected from the profiles of 195 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 345 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 5 1%
Switzerland 1 <1%
Sweden 1 <1%
France 1 <1%
Saudi Arabia 1 <1%
Spain 1 <1%
Unknown 335 97%

Demographic breakdown

Readers by professional status Count As %
Student > Master 62 18%
Researcher 47 14%
Student > Bachelor 36 10%
Student > Postgraduate 28 8%
Other 28 8%
Other 64 19%
Unknown 80 23%
Readers by discipline Count As %
Medicine and Dentistry 126 37%
Nursing and Health Professions 49 14%
Social Sciences 22 6%
Business, Management and Accounting 13 4%
Psychology 9 3%
Other 38 11%
Unknown 88 26%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 206. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 09 August 2023.
All research outputs
#194,048
of 25,809,907 outputs
Outputs from The Lancet
#2,296
of 43,016 outputs
Outputs of similar age
#1,547
of 241,932 outputs
Outputs of similar age from The Lancet
#26
of 498 outputs
Altmetric has tracked 25,809,907 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 99th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 43,016 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 68.2. This one has done particularly well, scoring higher than 94% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 241,932 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 99% of its contemporaries.
We're also able to compare this research output to 498 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 94% of its contemporaries.