Recording COVID-19 consultations: review of symptoms, risk factors, and proposed SNOMED CT terms (original) (raw)

Jani, Bhautesh Dinesh ORCID: https://orcid.org/0000-0001-7348-514X, Pell, Jill P. ORCID: https://orcid.org/0000-0002-8898-7035, McGagh, Dylan, Liyanage, Harshana, Kelly, Dave, de Lusignan, Simon, Weatherburn, Christopher J., Burns, Ronnie, Sullivan, Frank M. and Mair, Frances S. ORCID: https://orcid.org/0000-0001-9780-1135(2020) Recording COVID-19 consultations: review of symptoms, risk factors, and proposed SNOMED CT terms.BJGP Open, 4(4), bjgpopen20X101125. (doi: 10.3399/bjgpopen20X101125) (PMID:32843331) (PMCID:PMC7606148)

Abstract

Background: There is an urgent need for epidemiological research in primary care to develop risk assessment processes for patients presenting with COVID-19, but lack of a standardised approach to data collection is a significant barrier to implementation. Aim: To collate a list of relevant symptoms, assessment items, demographics, and lifestyle and health conditions associated with COVID-19, and match these data items with corresponding SNOMED CT clinical terms to support the development and implementation of consultation templates. Design and setting: Published and preprint literature for systematic reviews, meta-analyses, and clinical guidelines describing the symptoms, assessment items, demographics, and/or lifestyle and health conditions associated with COVID-19 and its complications were reviewed. Corresponding clinical concepts from SNOMED CT, a widely used structured clinical vocabulary for electronic primary care health records, were identified. Method: Guidelines and published and unpublished reviews (N = 61) were utilised to collate a list of relevant data items for COVID-19 consultations. The NHS Digital SNOMED CT Browser was used to identify concept and descriptive identifiers. Key implementation challenges were conceptualised through a Normalisation Process Theory (NPT) lens. Results: In total, 32 symptoms, eight demographic and lifestyle features, 25 health conditions, and 20 assessment items relevant to COVID-19 were identified, with proposed corresponding SNOMED CT concepts. These data items can be adapted into a consultation template for COVID-19. Key implementation challenges include: 1) engaging with key stakeholders to achieve ’buy in’; and 2) ensuring any template is usable within practice settings. Conclusion: Consultation templates for COVID-19 are needed to standardise data collection, facilitate research and learning, and potentially improve quality of care for COVID-19.

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