Evidence map›Paper›PMID 32484782›Full record

ArticleJMIR public health and surveillance2020

The Oxford Royal College of General Practitioners Clinical Informatics Digital Hub: Protocol to Develop Extended COVID-19 Surveillance and Trial Platforms.

Simon de Lusignan, Nicholas Jones, Jienchi Dorward, Rachel Byford, Harshana Liyanage, John Briggs, Filipa Ferreira, Oluwafunmi Akinyemi, Gayatri Amirthalingam, Chris Bates and 27 more

Abstract read
In one paragraph

Article in JMIR public health and surveillance, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 48 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
48citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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

48 citing papers in PubMed, 1 synthesis or guideline pooled it.

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  13. Ethical Challenges in Research Involving Hospitalized Patients: A Phenomenological Study.Health care analysis : HCA : journal of health philosophy and policy · 2025
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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

37 authors.

Simon de LusignanNuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, United Kingdom.ORCID 0000-0002-8553-2641
Nicholas Jones *Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, United Kingdom.ORCID 0000-0002-0352-3785
Jienchi DorwardNuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, United Kingdom.ORCID 0000-0001-6072-1430
Rachel ByfordNuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, United Kingdom.ORCID 0000-0002-4792-8995
Harshana LiyanageNuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, United Kingdom.ORCID 0000-0001-9738-6349
John BriggsNuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, United Kingdom.ORCID 0000-0002-9832-5430
Filipa FerreiraNuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, United Kingdom.ORCID 0000-0002-7717-8486
Oluwafunmi AkinyemiNuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, United Kingdom.ORCID 0000-0003-0401-0145
Gayatri AmirthalingamPublic Health England, London, United Kingdom.ORCID 0000-0003-2078-0975
Chris BatesTPP SystmOne, Leeds, United Kingdom.ORCID 0000-0003-0113-2593
Jamie Lopez BernalPublic Health England, London, United Kingdom.ORCID 0000-0002-1301-5653
Gavin DabreraPublic Health England, London, United Kingdom.ORCID 0000-0003-4606-5945
Alex EavisEMIS Group, Leeds, United Kingdom.ORCID 0000-0003-3525-2198
Alex J ElliotReal-time Syndromic Surveillance Team, Field Service, Public Health England, Birmingham, United Kingdom.ORCID 0000-0002-6414-3065
Michael FeherNuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, United Kingdom.ORCID 0000-0003-0631-6199
Else KrajenbrinkRoyal College of General Practitioners, London, United Kingdom.ORCID 0000-0002-6563-9441
Uy HoangNuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, United Kingdom.ORCID 0000-0002-8428-5140
Gary HowsamRoyal College of General Practitioners, London, United Kingdom.ORCID 0000-0001-6699-5504
Jonathan LeachRoyal College of General Practitioners, London, United Kingdom.ORCID 0000-0001-5142-4506
Cecilia OkusiNuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, United Kingdom.ORCID 0000-0002-5575-8527
Brian NicholsonNuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, United Kingdom.ORCID 0000-0003-0661-7362
Philip NieriNuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, United Kingdom.ORCID 0000-0003-0478-0190
Julian SherlockNuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, United Kingdom.ORCID 0000-0001-7427-1936
Gillian SmithReal-time Syndromic Surveillance Team, Field Service, Public Health England, Birmingham, United Kingdom.ORCID 0000-0002-4257-0568
Mark ThomasRoyal College of General Practitioners, London, United Kingdom.ORCID 0000-0002-6290-3948
Nicholas ThomasRoyal College of General Practitioners, London, United Kingdom.ORCID 0000-0003-0460-6870
Manasa TripathyNuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, United Kingdom.ORCID 0000-0001-9840-3876
William VictorRoyal College of General Practitioners, London, United Kingdom.ORCID 0000-0003-3660-6517
John WilliamsNuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, United Kingdom.ORCID 0000-0002-6118-0434
Ian WoodRoyal College of General Practitioners, London, United Kingdom.ORCID 0000-0002-0080-6624
Maria ZambonPublic Health England, London, United Kingdom.ORCID 0000-0002-8897-7881
John ParryTPP SystmOne, Leeds, United Kingdom.ORCID 0000-0002-0190-1121
Shaun O'HanlonEMIS Group, Leeds, United Kingdom.ORCID 0000-0002-0731-5211
Mark JoyNuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, United Kingdom.ORCID 0000-0002-4974-3724
Chris ButlerNuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, United Kingdom.ORCID 0000-0002-0102-3453
Martin MarshallRoyal College of General Practitioners, London, United Kingdom.ORCID 0000-0001-8575-5442
F D Richard HobbsNuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, United Kingdom.ORCID 0000-0001-7976-7172

Funding

Wellcome Trust
6 · The paper itself

Abstract

backgroundRoutinely recorded primary care data have been used for many years by sentinel networks for surveillance. More recently, real world data have been used for a wider range of research projects to support rapid, inexpensive clinical trials. Because the partial national lockdown in the United Kingdom due to the coronavirus disease (COVID-19) pandemic has resulted in decreasing community disease incidence, much larger numbers of general practices are needed to deliver effective COVID-19 surveillance and contribute to in-pandemic clinical trials.

objectiveThe aim of this protocol is to describe the rapid design and development of the Oxford Royal College of General Practitioners Clinical Informatics Digital Hub (ORCHID) and its first two platforms. The Surveillance Platform will provide extended primary care surveillance, while the Trials Platform is a streamlined clinical trials platform that will be integrated into routine primary care practice.

methodsWe will apply the FAIR (Findable, Accessible, Interoperable, and Reusable) metadata principles to a new, integrated digital health hub that will extract routinely collected general practice electronic health data for use in clinical trials and provide enhanced communicable disease surveillance. The hub will be findable through membership in Health Data Research UK and European metadata repositories. Accessibility through an online application system will provide access to study-ready data sets or developed custom data sets. Interoperability will be facilitated by fixed linkage to other key sources such as Hospital Episodes Statistics and the Office of National Statistics using pseudonymized data. All semantic descriptors (ie, ontologies) and code used for analysis will be made available to accelerate analyses. We will also make data available using common data models, starting with the US Food and Drug Administration Sentinel and Observational Medical Outcomes Partnership approaches, to facilitate international studies. The Surveillance Platform will provide access to data for health protection and promotion work as authorized through agreements between Oxford, the Royal College of General Practitioners, and Public Health England. All studies using the Trials Platform will go through appropriate ethical and other regulatory approval processes.

resultsThe hub will be a bottom-up, professionally led network that will provide benefits for member practices, our health service, and the population served. Data will only be used for SQUIRE (surveillance, quality improvement, research, and education) purposes. We have already received positive responses from practices, and the number of practices in the network has doubled to over 1150 since February 2020. COVID-19 surveillance has resulted in tripling of the number of virology sites to 293 (target 300), which has aided the collection of the largest ever weekly total of surveillance swabs in the United Kingdom as well as over 3000 severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) serology samples. Practices are recruiting to the PRINCIPLE (Platform Randomised trial of INterventions against COVID-19 In older PeopLE) trial, and these participants will be followed up through ORCHID. These initial outputs demonstrate the feasibility of ORCHID to provide an extended national digital health hub.

conclusionsORCHID will provide equitable and innovative use of big data through a professionally led national primary care network and the application of FAIR principles. The secure data hub will host routinely collected general practice data linked to other key health care repositories for clinical trials and support enhanced in situ surveillance without always requiring large volume data extracts. ORCHID will support rapid data extraction, analysis, and dissemination with the aim of improving future research and development in general practice to positively impact patient care. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): DERR1-10.2196/19773.

Indexed as

Clinical Trials as TopicMedical Records Systems, ComputerizedPublic Health SurveillanceAdaptive Clinical Trials as TopicCoronavirus InfectionsCOVID-19General PracticeHumansPandemicsPneumonia, ViralPrimary Health CareSocieties, MedicalUnited Kingdomadaptive clinical trialsclinical trials as a topicCOVID-19general practicemedical record systems, computerizedprimary health carepublic health surveillancesentinel surveillancesevere acute respiratory syndrome coronavirus 2

Identifiers

PMID32484782
PMCPMC7333793

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.