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Practice & Policy

To monitor the COVID-19 pandemic we need better quality primary care data

Simon de Lusignan and John Williams
BJGP Open 2020; 4 (2): bjgpopen20X101070. DOI: https://doi.org/10.3399/bjgpopen20X101070
Simon de Lusignan
1 Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, UK
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  • For correspondence: simon.delusignan@phc.ox.ac.uk
John Williams
1 Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, UK
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  • Practice organisation
  • primary healthcare
  • general practice
  • coronavirus

​UK primary care coding of covid-19 is a mess: we need to stop the use of bad codes, and migrate from the use of ugly to good codes, but will only be able to do so when they are finally released .

Key data computerised medical record (CMR) systems are recorded using ’codes’, to standardise recording and so attendances about a medical problem can be linked.1 At the start of the COVID-19 pandemic there was neither international agreement about nomenclature nor codes available in primary care CMRs with which to record exposure, testing, or infection.

We have now been through three iterations of clinical codes in the UK since the end of January. Five temporary codes were added to all the primary care CMR systems using the ‘2019 nCoV (Wuhan)’ label in January 2020. Subsequently NHS Digital, the NHS coding organisation, released a more extensive set of SNOMED CT concepts named ‘2019 nCoV (novel coronavirus)’ because the use of ‘Wuhan’ had been deprecated; these codes were in turn replaced by ‘SARS –CoV-2 (severe acute respiratory syndrome coronavirus 2)’ 2

The situation has been further complicated by the fact that this last release is only now starting to become available in CMRs (Table 1), and because some clinicians have gone back to using old non-specific coronavirus codes (such as ‘ Suspected Coronavirus infection: 1JX ’, and ‘ Coronavirus infection: A795 ’).

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Table 1. Clinical concepts that should be coded, temporary and definitive codes

This creates challenges for the surveillance system and others monitoring the pandemic.3 We have previously classified the incorrect use of codes as miscoding, misclassification, or misdiagnosis.4 In the cases of COVID-19, we are seeing1 both Miscoding (that is, continued use of the temporary codes, which should stop once the new ones are available);2 and Misclassification (use of non-specific coronavirus codes), which should stop. Table 1 sets out the clinical concept we currently need to consistently record in primary care, the temporary codes available to do this, and the final codes we should all eventually use. Prompt cards to help clinicians and coders are available at: https://clininf.eu/index.php/cov-19/

All UK primary care clinicians and coders are recommended to continue to use the temporary codes until the new ones are available, then switch. Accurate data is a key to understanding and monitoring the course of this pandemic.

Appendix: Examples of codes not to use

  • Exposure to coronavirus infection

  • Suspected coronavirus infection

  • Coronavirus infection

  • Disease due to Coronaviridae

  • Coronavirus contact

Notes

Funding

N/A

Ethical approval

N/A

Provenance

Commissioned; not externally peer reviewed.

Competing interests

The authors declare that no competing interests exist.

  • Received April 6, 2020.
  • Accepted April 6, 2020.
  • Copyright © 2020, The Authors

This article is Open Access: CC BY license (https://creativecommons.org/licenses/by/4.0/)

References

  1. 1.↵
    1. de Lusignan S
    (2005) Codes, classifications, terminologies and nomenclatures: definition, development and application in practice. Inform Prim Care 13(1):65–70, doi:10.14236/jhi.v13i1.580, pmid:15949178.
    OpenUrlCrossRefPubMed
  2. 2.↵
    1. Coronaviridae Study Group of the International Committee on Taxonomy of Viruses
    (2020) The species severe acute respiratory syndrome-related coronavirus: classifying 2019-nCoV and naming it SARS-CoV-2. Nat Microbiol 5(4):536–544, doi:10.1038/s41564-020-0695-z, pmid:http://www.ncbi.nlm.nih.gov/pubmed/32123347.
    OpenUrlCrossRefPubMed
  3. 3.↵
    1. de Lusignan S,
    2. Lopez Bernal J,
    3. Zambon M,
    4. et al.
    (2020) Emergence of a novel coronavirus (COVID-19): protocol for extending surveillance used by the Royal College of general practitioners research and surveillance centre and public health England. JMIR Public Health Surveill 6(2):e18606, doi:10.2196/18606, pmid:http://www.ncbi.nlm.nih.gov/pubmed/32240095.
    OpenUrlCrossRefPubMed
  4. 4.↵
    1. de Lusignan S,
    2. Sadek N,
    3. Mulnier H,
    4. et al.
    (2012) Miscoding, misclassification and misdiagnosis of diabetes in primary care. Diabet Med 29(2):181–189, doi:10.1111/j.1464-5491.2011.03419.x, pmid:http://www.ncbi.nlm.nih.gov/pubmed/21883428.
    OpenUrlCrossRefPubMed
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To monitor the COVID-19 pandemic we need better quality primary care data
Simon de Lusignan, John Williams
BJGP Open 2020; 4 (2): bjgpopen20X101070. DOI: 10.3399/bjgpopen20X101070

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To monitor the COVID-19 pandemic we need better quality primary care data
Simon de Lusignan, John Williams
BJGP Open 2020; 4 (2): bjgpopen20X101070. DOI: 10.3399/bjgpopen20X101070
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Keywords

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