Evidence map›Paper›PMID 21117373›Full record

ArticleClinical medicine (London, England)2010

Understanding the current state of patient flow in a hospital.

Steven Allder, Kate Silvester, Paul Walley

Abstract read
In one paragraph

Article in Clinical medicine (London, England), 2010. 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
–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

11 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Is follow-up capacity the current NHS bottleneck?Clinical medicine (London, England) · 2011
    Review
  11. Article
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

3 authors.

Steven AllderDepartment of Neurology, Plymouth Hospitals Trust. Steven.allder@phnt.swest.nhs.uk
Kate Silvester
Paul Walley

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The challenge of generating bed availability is constant in most NHS acute trusts. Building on previous work applying queue theory, this paper now takes operational data from one NHS trust, collected over a period of more than a year, to provide an evidence base and to establish the practical challenges associated with demand variation and managing length of stay. The problem is split into three separate parts. Daily bed shortages are mostly influenced by the timing of arrival and discharge of patients with a short length of stay. Patients who stay for longer than one to two days contribute most significantly to the observed weekly bed availability problem. The problems associated with bed shortages around Christmas time and into the New Year are not simply issues of increased demand. A reduction in discharge capacity is a major contributory factor that results in unnecessary increases in length of stay.

Indexed as

Bed OccupancyHealth Services AccessibilityHealth Services Needs and DemandHolidaysHospital Bed CapacityHumansLength of StaySeasonsState MedicineUnited Kingdom

Identifiers

PMID21117373
PMCPMC4952402

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.