Evidence map›Paper›PMID 35915500›Full record

ArticleBMC medical informatics and decision making2022

The impact of changes in coding on mortality reports using the example of sepsis.

Catherine Atkin, Tanya Pankhurst, David McNulty, Ann Keogh, Suzy Gallier, Domenico Pagano, Elizabeth Sapey, Simon Ball

Open access · goldAbstract read
In one paragraph

Article in BMC medical informatics and decision making, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.9field-weighted citation impact, top 26% 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

4 citing papers in PubMed, 7 citations in OpenAlex.

  1. Article
  2. Article
  3. Observational
  4. 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

8 authors at 1 institution in 1 country.

Catherine AtkinPIONEER, HDR-UK Health Data Research Hub in Acute Care, Institute of Inflammation and Ageing, University Hospitals Birmingham NHS Foundation Trust, University of Birmingham, Edgbaston, Birmingham, B15 2GW, UK. c.atkin@nhs.net.ORCID 0000-0003-0596-8515
Tanya PankhurstRenal Medicine, University Hospitals Birmingham NHS Foundation Trust, Birmingham, B15 2GW, UK.
David McNultyDepartment of Health Informatics, University Hospitals Birmingham NHS Foundation Trust, Birmingham, B15 2GW, UK.
Ann KeoghUniversity Hospitals Birmingham NHS Foundation Trust, Birmingham, B15 2GW, UK.
Suzy GallierDepartment of Health Informatics, University Hospitals Birmingham NHS Foundation Trust, Birmingham, B15 2GW, UK.
Domenico PaganoCardiac Surgery, University Hospitals Birmingham NHS Foundation Trust, Birmingham, B15 2GW, UK.
Elizabeth SapeyPIONEER, HDR-UK Health Data Research Hub in Acute Care, Institute of Inflammation and Ageing, University of Birmingham, Birmingham, B15 2GW, UK.ORCID 0000-0003-3454-5482
Simon BallHDR-UK Midlands Site, University Hospitals Birmingham NHS Foundation Trust, Edgbaston, Birmingham, B15 2GW, UK.
University Hospitals Birmingham NHS Foundation Trust · GB

Funding

Medical Research Council MC_PC_21015Medical Research Council MC_PC_21028
6 · The paper itself

Abstract

objectivesNHS Digital issued new guidance on sepsis coding in April 2017 which was further modified in April 2018. During these timeframes some centres reported increased sepsis associated mortality, whilst others reported reduced mortality, in some cases coincident with specific quality improvement programmes. We hypothesised that changes in reported mortality could not be separated from changes in coding practice.

methodsHospital Episode Statistics from the Admitted Patient Care dataset for NHS hospitals in England, from April 2016 to March 2020 were analysed. Admissions of adults with sepsis: an International Classification of Diseases 10 (ICD-10) code associated with the Agency for Healthcare Research and Quality Clinical Classifications Software class 'Septicaemia (except in labour)', were assessed. Patient comorbidities were defined by other ICD-10 codes recorded within the admission episode.

results1,081,565 hospital episodes with a coded diagnosis of sepsis were studied. After April 2017 there was a significant increase in admission episodes with sepsis coded as the primary reason for admission. There were significant changes in the case-mix of patients with a primary diagnosis of sepsis after April 2017. An analysis of case-mix, hospital and year treated as random effects, defined a small reduction in sepsis associated mortality across England following the first change in coding guidance. No centre specific improvement in outcome could be separated from these random-effects.

conclusionChanges in sepsis coding practice altered case-mix and case selection, in ways that varied between centres. This was associated with changes in centre-specific sepsis associated mortality, over time. According to the direction of change these may be interpreted either as requiring local investigation for cause or as supporting coincident changes in clinical practice. A whole system analysis showed that centre specific changes in mortality cannot be separated from system-wide changes. Caution is therefore required when interpreting sepsis outcomes in England, particularly when using single centre studies to inform or support guidance or policy.

Indexed as

SepsisAdultComorbidityEnglandHospitalizationHospital MortalityHumansInternational Classification of DiseasesClinical codingEpidemiologyMorbidityMortalityReal world dataSepsis

Identifiers

PMID35915500
PMCPMC9341053
OpenAlexW4289169756

What OpenQuestion holds

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LicenceCC BY
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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.