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Recording COVID-19 consultations: review of symptoms, risk factors, and proposed SNOMED CT terms.
Jani, Bhautesh Dinesh; Pell, Jill P; McGagh, Dylan; Liyanage, Harshana; Kelly, Dave; de Lusignan, Simon; Weatherburn, Christopher J; Burns, Ronnie; Sullivan, Frank M; Mair, Frances S.
  • Jani BD; Clinical Senior Lecturer in General Practice and Primary Care, Institute of Health and Wellbeing, University of Glasgow, Glasgow, UK bhautesh.jani@glasgow.ac.uk.
  • Pell JP; Henry Mechan Professor of Public Health, Institute of Health and Wellbeing, University of Glasgow, Glasgow, UK.
  • McGagh D; Medical Sciences Divison, University of Oxford, Oxford, UK.
  • Liyanage H; Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, UK.
  • Kelly D; Albasoft Limited, Centre for Health Science, Inverness, UK.
  • de Lusignan S; Professor of Primary Care and Clinical Informatics, Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, UK.
  • Weatherburn CJ; Scottish Clinical Information Management in Practice, National Services Scotland, Edinburgh, UK.
  • Burns R; McKenzie Burns Practice, Parkhead Health Centre, Glasgow, UK.
  • Sullivan FM; Professor of Primary Care Medicine, Medical School, University of St Andrews, St Andrews, UK.
  • Mair FS; Norie Miller Professor of General Practice, Institute of Health and Wellbeing, University of Glasgow, Glasgow, UK.
BJGP Open ; 4(4)2020 Oct.
Article in English | MEDLINE | ID: covidwho-826586
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 &

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.
Keywords

Full text: Available Collection: International databases Database: MEDLINE Type of study: Prognostic study / Reviews / Systematic review/Meta Analysis Language: English Year: 2020 Document Type: Article Affiliation country: Bjgpopen20X101125

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Full text: Available Collection: International databases Database: MEDLINE Type of study: Prognostic study / Reviews / Systematic review/Meta Analysis Language: English Year: 2020 Document Type: Article Affiliation country: Bjgpopen20X101125