Evidence map›Paper›PMID 33758002›Full record

ArticleEmergency medicine journal : EMJ2021

Variation in referral rates to emergency departments and inpatient services from a GP out of hours service and the potential impact of alternative staffing models.

Daniel Lasserson, Honora Smith, Sophie Garland, Helen Hunt, Gail Hayward

Abstract read
In one paragraph

Article in Emergency medicine journal : EMJ, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Trial
  2. Article
  3. Article
  4. Observational
  5. Observational
  6. Clinician-led secondary triage in England's urgent care delivery: a cross-sectional study.The British journal of general practice : the journal of the Royal College of General Practitioners · 2023
    Article
  7. Observational
  8. Article
  9. 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

5 authors.

Daniel LassersonFaculty of Medicine, Division of Health Sciences, University of Warwick, Coventry, UK daniel.lasserson@warwick.ac.uk.ORCID http://orcid.org/0000-0001-8274-5580
Honora SmithFaculty of Engineering Science and Mathematics, Department of Mathematical Sciences, University of Southampton, Southampton, UK.
Sophie GarlandOxford Health NHS Foundation Trust, Oxford, UK.
Helen HuntOxford Health NHS Foundation Trust, Oxford, UK.
Gail HaywardNuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionOut of hours (OOHs) primary care is a critical component of the acute care system overnight and at weekends. Referrals from OOH services to hospital will add to the burden on hospital assessment in the ED and on-call specialties.

methodsWe studied the variation in referral rates (to the ED and direct specialty admission) of individual clinicians working in the Oxfordshire, UK OOH service covering a population of 600 000 people. We calculated the referral probability for each clinician over a 13-month period of practice (1 December 2014 to 31 December 2015), stratifying by clinician factors and location and timing of assessment. We used Simul8 software to determine the range of hospital referrals potentially due to variation in clinician referral propensity.

resultsAmong the 119 835 contacts with the service, 5261 (4.4%) were sent directly to the ED and 3474 (3.7%) were admitted directly to specialties. More referrals were made to ED by primary care physicians if they did not work in the local practices (5.5% vs 3.5%, p=0.011). For clinicians with >1000 consultations, percentage of patients referred varied from 1% to 21% of consultations. Simulations where propensity to refer was made less extreme showed a difference in maximum referrals of 50 patients each week.

conclusionsThere is substantial variation in clinician referral rates from OOHs primary care to the acute hospital setting. The number of patients referred could be influenced by this variation in clinician behaviour. Referral propensity should be studied including casemix adjustment to determine if interventions targeting such behaviour are effective.

Indexed as

After-Hours CareEmergency Service, HospitalHumansPersonnel Staffing and SchedulingReferral and ConsultationUnited Kingdomoperationalresearchsystemsurgent care

Identifiers

PMID33758002
PMCPMC8461444

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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.