Evidence map›Paper›PMID 36348846›Full record

ArticleCureus2022

Improving Patient Flow in the Surgical Assessment Unit by Facilitating Access to Computer Tomography Scanning.

Amjad Burgan, Ysabelle Embury-Young

Open access · diamondAbstract read
In one paragraph

Article in Cureus, 2022. 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, top 76% of its field
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, 0 citations in OpenAlex.

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 at 1 institution in 1 country.

Amjad BurganTrauma and Orthopaedics, Yeovil District Hospital National Health Service (NHS) Foundation Trust, Yeovil, GBR.
Ysabelle Embury-YoungEar, Nose, and Throat, University Hospitals Bristol National Health Service (NHS) Foundation Trust, Bristol, GBR.
National Health Service · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction Patient flow is "the ability of healthcare systems to manage patients effectively and with minimal delays as they move through stages of care". National Health Service (NHS) England has highlighted the importance of improving patient flow, and the many benefits to both staff and patients, including: "improved clinical outcome and experience of patients"; "eliminating waits and delays"; "saving time and effort by avoiding duplication of work"; "saving money"; and "improving the reputation of the NHS". Limited access to computerised tomography (CT) imaging for surgical patients can disrupt patient flow through delayed diagnosis, management, and discharge. The aims of this quality improvement project were to assess the effect of a dedicated Surgical Assessment Unit (SAU) radiologist on access to CT scanning and its impact on patient flow. The measured outcomes were time from admission to CT scanning, and length of admission. Method In June 2020, a radiology registrar was allocated to the SAU to vet and report CT imaging. CT requests from the SAU were identified from Picture Archiving and Communication System (PACS) in the first two weeks of June 2019 and 2020 during normal working hours (Monday to Friday, between 0900 and 1700). We performed a retrospective audit and compared data from 2019 and 2020. The measured primary outcome was time from admission to imaging. The secondary outcome was the length of admission. Results In the two-week period in June 2019, 25 patients requiring a CT scan presented to SAU during normal working hours. In 2020, this number increased to 40 patients. In 2019, 5 patients had a CT scan performed within four hours of admission (20%). In 2020, following the allocation of a radiologist to the SAU, 33 patients (82.5%) had their CT performed within four hours of admission. In 2019, one patient (4%) was discharged within six hours of admission. A further 16% had a length of admission between six and 12 hours. The majority of patients (80%) remained in the hospital for more than 12 hours. In 2020, 45% of patients were discharged within four hours following a CT scan. More than half of the patients (57.5%) were discharged within 12 hours. Conclusion The allocation of a radiologist in the SAU led to both a reduction in time to perform CT scans and an increased number of patients being discharged within 12 hours. These results suggest that early access to imaging improves patient flow. Further research will help to establish whether the allocation of a radiologist in the SAU is a beneficial and cost-effective method of improving patient flow, and whether this may help reduce the current pressure on NHS services.

Indexed as

access to imagingcomputer tomography scanninglength of admissionpatient flowsurgical assessment unit

Identifiers

PMID36348846
PMCPMC9637243
OpenAlexW4303044073

What OpenQuestion holds

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LicenceCC BY
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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 OpenQuestion graph.