Evidence map›Paper›PMID 32843331›Full record

ArticleBJGP open2020

Recording COVID-19 consultations: review of symptoms, risk factors, and proposed SNOMED CT terms.

Bhautesh Dinesh Jani, Jill P Pell, Dylan McGagh, Harshana Liyanage, Dave Kelly, Simon de Lusignan, Christopher J Weatherburn, Ronnie Burns, Frank M Sullivan, Frances S Mair

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in BJGP open, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 pooled it
0.3field-weighted citation impact, top 39% 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, 1 synthesis or guideline pooled it, 6 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. The use of SNOMED CT, 2013-2020: a literature review.Journal of the American Medical Informatics Association : JAMIA · 2021
    Review
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

10 authors at 7 institutions in 2 countries.

Bhautesh Dinesh JaniClinical Senior Lecturer in General Practice and Primary Care, Institute of Health and Wellbeing, University of Glasgow, Glasgow, UK bhautesh.jani@glasgow.ac.uk.ORCID http://orcid.org/0000-0001-7348-514X
Jill P PellHenry Mechan Professor of Public Health, Institute of Health and Wellbeing, University of Glasgow, Glasgow, UK.
Dylan McGaghMedical Sciences Divison, University of Oxford, Oxford, UK.
Harshana LiyanageNuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, UK.
Dave KellyAlbasoft Limited, Centre for Health Science, Inverness, UK.
Simon de LusignanProfessor of Primary Care and Clinical Informatics, Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, UK.
Christopher J WeatherburnScottish Clinical Information Management in Practice, National Services Scotland, Edinburgh, UK.
Ronnie BurnsMcKenzie Burns Practice, Parkhead Health Centre, Glasgow, UK.
Frank M SullivanProfessor of Primary Care Medicine, Medical School, University of St Andrews, St Andrews, UK.ORCID http://orcid.org/0000-0002-6623-4964
Frances S MairNorie Miller Professor of General Practice, Institute of Health and Wellbeing, University of Glasgow, Glasgow, UK.
University of Oxford · GBUniversity of Glasgow · GBNational Health Service Scotland · GBPrimary Health Care · QATaylor McKenzie (United Kingdom) · GBUniversity of St Andrews · GBUniversity of the Highlands and Islands · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThere 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.

aimTo 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 &

settingPublished 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.

methodGuidelines and published and unpublished reviews (

resultsIn 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.

conclusionConsultation templates for COVID-19 are needed to standardise data collection, facilitate research and learning, and potentially improve quality of care for COVID-19.

Indexed as

COVID-19General practiceMedical Records Systems, ComputerisedPrimary health careSystematised Nomenclature of Medicine

Identifiers

PMID32843331
PMCPMC7606148
OpenAlexW3080083767

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.