Evidence map›Paper›PMID 39246642›Full record

ArticleCureus2024

Improving the 'Golden Patient' Initiative at a British Major Trauma Centre: A Single-Centre Study.

Samuel Thompson, Shafiq Shahban, Sanjeev Patil

Abstract read
In one paragraph

Article in Cureus, 2024. 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

3 authors.

Samuel ThompsonIntensive Care Unit, Northern Beaches Hospital, Sydney, AUS.
Shafiq ShahbanDepartment of Trauma and Orthopaedics, Walsall Manor Hospital, Walsall, GBR.
Sanjeev PatilDepartment of Orthopaedic Surgery, Queen Elizabeth University Hospital, Glasgow, GBR.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction Delays in theatre start times are expensive and associated with poor outcomes. To reduce these delays, a Golden Patient (GP) protocol was used at one of Britain's major trauma centres, the Queen Elizabeth University Hospital, Glasgow. We sought to clarify how often Golden Patients (GPs) were stepped down from being first on the day's trauma list and to identify significant contributing factors.  Methods We collected data over an eight-week period, with 80 GPs collated in total. If stepped down, we recorded their age, gender, injury, location, and day of planned surgery. Univariate analyses were then performed to test for statistical significance. We also followed stepped-down patients, noting how long until they received their operation. Results The incidence of GPs stepped down from being first on the list was 11.25%. This did not vary with age, gender, or type of injury, but was significantly associated with patients being at home the night before their planned operation (p=0.0114) and cases occurring on Fridays (p=0.0139). Of those stepped-down GPs who remained for operative management, all received their operation within one day. Conclusion This study, the first of its kind since the COVID-19 pandemic, shows low rates of GP step down, comparable to previous audits of GP initiatives in similar centres. When delays did occur, GPs received timely operative management once underlying issues were resolved. This study suggests that planned GPs should be admitted the night before their operation. Whilst the GP system serves trauma patients well, we identified areas for improvement in the efficiency of our own service applicable to other busy major trauma centres.

Indexed as

global healthcare systemsgolden patienttheatre efficiencytheatre productivitytrauma and orthopedicstrauma patients

Identifiers

PMID39246642
PMCPMC11381100

What Socratic holds

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Registered trials

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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 Socratic graph.