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

OBJECTIVES: NHS 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 improveme...

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Autores principales: Atkin, Catherine, Pankhurst, Tanya, McNulty, David, Keogh, Ann, Gallier, Suzy, Pagano, Domenico, Sapey, Elizabeth, Ball, Simon
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9341053/
https://www.ncbi.nlm.nih.gov/pubmed/35915500
http://dx.doi.org/10.1186/s12911-022-01947-x
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author Atkin, Catherine
Pankhurst, Tanya
McNulty, David
Keogh, Ann
Gallier, Suzy
Pagano, Domenico
Sapey, Elizabeth
Ball, Simon
author_facet Atkin, Catherine
Pankhurst, Tanya
McNulty, David
Keogh, Ann
Gallier, Suzy
Pagano, Domenico
Sapey, Elizabeth
Ball, Simon
author_sort Atkin, Catherine
collection PubMed
description OBJECTIVES: NHS 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. METHODS: Hospital 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. RESULTS: 1,081,565 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. CONCLUSION: Changes 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. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12911-022-01947-x.
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spelling pubmed-93410532022-08-02 The impact of changes in coding on mortality reports using the example of sepsis Atkin, Catherine Pankhurst, Tanya McNulty, David Keogh, Ann Gallier, Suzy Pagano, Domenico Sapey, Elizabeth Ball, Simon BMC Med Inform Decis Mak Research OBJECTIVES: NHS 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. METHODS: Hospital 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. RESULTS: 1,081,565 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. CONCLUSION: Changes 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. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12911-022-01947-x. BioMed Central 2022-08-01 /pmc/articles/PMC9341053/ /pubmed/35915500 http://dx.doi.org/10.1186/s12911-022-01947-x Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Atkin, Catherine
Pankhurst, Tanya
McNulty, David
Keogh, Ann
Gallier, Suzy
Pagano, Domenico
Sapey, Elizabeth
Ball, Simon
The impact of changes in coding on mortality reports using the example of sepsis
title The impact of changes in coding on mortality reports using the example of sepsis
title_full The impact of changes in coding on mortality reports using the example of sepsis
title_fullStr The impact of changes in coding on mortality reports using the example of sepsis
title_full_unstemmed The impact of changes in coding on mortality reports using the example of sepsis
title_short The impact of changes in coding on mortality reports using the example of sepsis
title_sort impact of changes in coding on mortality reports using the example of sepsis
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9341053/
https://www.ncbi.nlm.nih.gov/pubmed/35915500
http://dx.doi.org/10.1186/s12911-022-01947-x
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