Evidence map›Paper›PMID 34001573›Full record

ArticleClinical medicine (London, England)2021

A simple measure to improve sepsis documentation and coding.

Jamie Arberry, Zanya Henry, Tumena Corrah

Abstract read
In one paragraph

Article in Clinical medicine (London, England), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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.

Jamie ArberryNorthwick Park Hospital, London, UK.
Zanya HenryNorthwick Park Hospital, London, UK.
Tumena CorrahNorthwick Park Hospital, London, UK tumena.corrah@nhs.net.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionSepsis incidence and mortality are increasing, yet sepsis appears to be under-recognised and under-reported. Accurate recognition and coding of sepsis allows for appropriate funding and accurate epidemiological representation.

methodsWe implemented a discharge summary template for all patients discharged from our infectious diseases service and analysed sepsis documentation and coding before and after its introduction.

resultsBeforehand, we found that 59% of 29 patients had sepsis, yet only 10% had it documented on their discharge summary, and 17% had it coded. Following implementation of the template, 38% of 52 patients had sepsis documented, yet only 20% of these had it coded. After delivery of a training session to the coders regarding the importance of sepsis, 38% of patients with a diagnosis of sepsis had it coded. DISCUSSION: Despite requiring ongoing education and encouragement of clinicians and coders, implementation of the template was quick, cheap and easy and improved sepsis coding.

Indexed as

Clinical CodingSepsisDocumentationHumansIncidencePatient Dischargecodingfundinginfectionquality improvementsepsis

Identifiers

PMID34001573
PMCPMC8140706

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.