Evidence map›Paper›PMID 34665843›Full record

ArticlePloS one2021

Characteristics of patients in platform C19, a COVID-19 research database combining primary care electronic health record and patient reported information.

Brooklyn Stanley, Andrew Davis, Rupert Jones, Steven Julious, Dermot Ryan, David Jackson, David Halpin, Hilary Pinnock, Jennifer Quint, Kamlesh Khunti and 11 more

Open access · goldAbstract readMulticenter Study
In one paragraph

Article in PloS one, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.4field-weighted citation impact, top 30% 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

2 citing papers in PubMed, 3 citations in OpenAlex.

  1. Article
  2. Article
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

21 authors at 10 institutions in 2 countries.

Brooklyn StanleyOptimum Patient Care, Cambridge, United Kingdom.
Andrew DavisOptimum Patient Care, Cambridge, United Kingdom.ORCID 0000-0001-9030-4355
Rupert JonesOptimum Patient Care, Cambridge, United Kingdom.
Steven JuliousUniversity of Sheffield, Sheffield, South Yorkshire, United Kingdom.ORCID 0000-0002-9917-7636
Dermot RyanUsher Institute, University of Edinburgh, Edinburgh, United Kingdom.
David JacksonUK Severe Asthma Network and National Registry, Guy's and St Thomas' NHS Trust and Division of Asthma, Allergy & Lung Biology, King's College London, London, United Kingdom.
David HalpinUniversity of Exeter Medical School, College of Medicine and Health, University of Exeter, Exeter, United Kingdom.
Hilary PinnockAsthma UK Centre for Applied Research, Usher Institute, The University of Edinburgh, Edinburgh, United Kingdom.
Jennifer QuintNational Heart & Lung Institute, Imperial College London, London, United Kingdom.
Kamlesh KhuntiDiabetes Research Centre, Leicester General Hospital, University of Leicester, Leicester, United Kingdom.ORCID 0000-0003-2343-7099
Liam HeaneyUK Severe Asthma Network and National Registry & Centre for Experimental Medicine, Queen's University Belfast, Belfast, Northern Ireland.
Philip OliverUniversity of Sheffield, Sheffield, South Yorkshire, United Kingdom.
Salman SiddiquiInstitute for Lung Health, Leicester National Institute for Health Research Biomedical Research Centre, University of Leicester, Leicester, United Kingdom.
Anu KemppinenOptimum Patient Care, Cambridge, United Kingdom.
Francis AppiagyeiOptimum Patient Care, Cambridge, United Kingdom.
Emma-Jane RobertsOptimum Patient Care, Cambridge, United Kingdom.
Antony HardjojoObservational and Pragmatic Research Institute, Singapore, Singapore.
Victoria CarterOptimum Patient Care, Cambridge, United Kingdom.
Marije van MelleOptimum Patient Care, Cambridge, United Kingdom.ORCID 0000-0003-1794-1571
David PriceOptimum Patient Care, Cambridge, United Kingdom.ORCID 0000-0002-9728-9992
Platform C19 committee
Observational & Pragmatic Research Institute · SGUniversity of Leicester · GBUniversity of Sheffield · GBImperial College London · GBInstitute of Occupational Medicine · GBKing's College London · GBQueen's University Belfast · GBUniversity of Aberdeen · GBUniversity of Edinburgh · GBUniversity of Exeter · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundData to better understand and manage the COVID-19 pandemic is urgently needed. However, there are gaps in information stored within even the best routinely-collected electronic health records (EHR) including test results, remote consultations for suspected COVID-19, shielding, physical activity, mental health, and undiagnosed or untested COVID-19 patients. Observational and Pragmatic Research Institute (OPRI) Singapore and Optimum Patient Care (OPC) UK established Platform C19, a research database combining EHR data and bespoke patient questionnaire. We describe the demographics, clinical characteristics, patient behavior, and impact of the COVID-19 pandemic using data within Platform C19.

methodsEHR data from Platform C19 were extracted from 14 practices across UK participating in the OPC COVID-19 Quality Improvement program on a continuous, monthly basis. Starting 7th August 2020, consenting patients aged 18-85 years were invited in waves to fill an online questionnaire. Descriptive statistics were summarized using all data available up to 22nd January 2021.

findingsFrom 129,978 invitees, 31,033 responded. Respondents were predominantly female (59.6%), white (93.5%), and current or ex-smokers (52.6%). Testing for COVID-19 was received by 23.8% of respondents, of which 7.9% received positive results. COVID-19 symptoms lasted ≥4 weeks in 19.5% of COVID-19 positive respondents. Up to 39% respondents reported a negative impact on questions regarding their mental health. Most (67%-76%) respondents with asthma, Chronic Obstructive Pulmonary Disease (COPD), diabetes, heart, or kidney disease reported no change in the condition of their diseases.

interpretationPlatform C19 will enable research on key questions relating to COVID-19 pandemic not possible using EHR data alone.

Indexed as

COVID-19Databases, FactualElectronic Health RecordsPrimary Health CareSARS-CoV-2AdolescentAdultAgedFemaleHumansMaleMiddle AgedUnited Kingdom

Identifiers

PMID34665843
PMCPMC8525750
OpenAlexW3205759067

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.