Evidence map›Paper›PMID 40759528›Full record

ArticleBMJ open quality2025

Quality improvement project to reduce length of stay for patients with urinary tract infections in an NHS hospital trust.

Molly Crawford

Abstract read
In one paragraph

Article in BMJ open quality, 2025. 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

1 author.

Molly CrawfordHealth Foundation, London, UK molly.crawford2@nhs.net.ORCID 0009-0002-0816-5240

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The bed day reduction improvement project for patients with urinary tract infections was commissioned at Frimley Health NHS Foundation Trust as inpatient length of stay (LOS) has been increasing over time, with noticeable variance between conditions and treatment pathways.A multidisciplinary group was formed with staff from infection control, urology and medicine. A3 thinking (a quality improvement method) was used to define the problem, analyse the data, complete root cause analysis and test change. The project aimed to impact the whole hospital system; however, using quality improvement methodology, the area with the biggest potential impact was focused on which was the emergency department. This is because positive changes made at the front end cause better outcomes throughout the pathway. Change ideas included reducing urine sample errors by improving labelling, increasing the number sent off by making the sample collection process easier for staff, increasing the use of Same Day Emergency Care Unit (SDEC) to avoid unnecessary admissions by raising awareness of the pathway with doctors and designing a pathway direct from triage to SDEC.A link was demonstrated, through audit, between sample errors/not sent and prolonged LOS, confirming the opportunity of reducing sample errors. White-topped urine sample errors reduced by 50% following the process change. The work done to reduce errors has led to an approximate 10 days per month bed day saving, improving patient experience, care and staff morale. There was no significant increase in urine samples sent, the urology SDEC use increased marginally and the triage pathway was implemented. The project was unable to link the individual changes to a reduction in the outcome measure of bed days.

Indexed as

Length of StayQuality ImprovementUrinary Tract InfectionsHospitalsHumansState MedicineUnited KingdomAmbulatory careContinuous quality improvementControl charts/Run chartsCost-effectivenessLength of Stay

Identifiers

PMID40759528
PMCPMC12323514

What OpenQuestion 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 OpenQuestion graph.