Evidence map›Paper›PMID 21559850›Full record

ArticleHealth care management science2011

A technical note concerning emergency bed demand.

Steve Gallivan, Martin Utley

Abstract read
PubMed Publisher
In one paragraph

Article in Health care management science, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

2 authors.

Steve GallivanClinical Operational Research Unit, Department of Mathematics, University College London, Gower Street, London, WC1E 6BT, UK. s.gallivan@ucl.ac.uk
Martin Utley

Funding

Department of Health
6 · The paper itself

Abstract

A common method for modelling emergency referrals to a hospital in-patient unit is to assume that they follow a Poisson distribution. If lengths of stay are independent and identically distributed, then the distribution of bed demand can be derived by analysis of a queueing system with an infinite number of servers. Undemanding analysis can be used to express the mean and variance of bed demand in terms of simple formulae involving mean referral rates and the distribution of lengths of stay.

Indexed as

Models, TheoreticalEfficiency, OrganizationalEmergency Service, HospitalHealth Services Needs and DemandHospital Bed CapacityHumansLength of StayPoisson Distribution

Identifiers

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.