Evidence map›Paper›PMID 35057841›Full record

ArticleTrials2022

Development and evaluation of rapid data-enabled access to routine clinical information to enhance early recruitment to the national clinical platform trial of COVID-19 community treatments.

Caroline Cake, Emma Ogburn, Heather Pinches, Garry Coleman, David Seymour, Fran Woodard, Sinduja Manohar, Marjia Monsur, Martin Landray, Gaynor Dalton and 5 more

RetractedErratum issuedOpen access · goldAbstract readRetracted Publication
In one paragraph

Article in Trials, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It has been retracted, and should not be counted. Cited by 11 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 2 pooled it
2.4field-weighted citation impact, top 12% 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

11 citing papers in PubMed, 2 syntheses or guidelines pooled it, 12 citations in OpenAlex.

  1. Pooled it
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

15 authors at 4 institutions in 1 country.

Caroline CakeHealth Data Research UK, Wellcome Trust, Gibbs Building, 215 Euston Road, London, NW1 2BE, UK. Caroline.cake@hdruk.ac.uk.ORCID http://orcid.org/0000-0002-7623-7165
Emma OgburnNuffield Department of Primary Care Health Sciences, University of Oxford, Gibson Building 1st Floor, Radcliffe Observatory Quarter, Woodstock Road, Oxford, OX2 6GG, UK.
Heather PinchesNHS DigiTrials, Skipton House, 80 London Rd, Elephant and Castle, London, UK.
Garry ColemanNHS Digital, Skipton House, 80 London Rd, Elephant and Castle, London, SE1 6LH, UK.
David SeymourHealth Data Research UK, Wellcome Trust, Gibbs Building, 215 Euston Road, London, NW1 2BE, UK.
Fran WoodardNHS Digital, Skipton House, 80 London Rd, Elephant and Castle, London, SE1 6LH, UK.
Sinduja ManoharHealth Data Research UK, Wellcome Trust, Gibbs Building, 215 Euston Road, London, NW1 2BE, UK.
Marjia MonsurDHSC, Department for Health and Social Care, 39 Victoria St, Westminster, London, SW1H 0EU, UK.
Martin LandrayHDR UK Oxford, Big Data Institute, Nuffield Department of Population Health, University of Oxford, Oxford, OX3 7LF, UK.
Gaynor DaltonNHS Digital, Skipton House, 80 London Rd, Elephant and Castle, London, SE1 6LH, UK.
Andrew D MorrisHealth Data Research UK, Wellcome Trust, Gibbs Building, 215 Euston Road, London, NW1 2BE, UK.
Patrick F ChinneryDepartment of Clinical Neuroscience & Medical Research Council Mitochondrial Biology Unit, School of Clinical Medicine, University of Cambridge, Cambridge, CB2 0QQ, UK.
UK COVID-19 National Core Studies Consortium
F D Richard HobbsNuffield Department of Primary Care Health Sciences, University of Oxford, Gibson Building 1st Floor, Radcliffe Observatory Quarter, Woodstock Road, Oxford, OX2 6GG, UK.
Christopher ButlerNuffield Department of Primary Care Health Sciences, University of Oxford, Gibson Building 1st Floor, Radcliffe Observatory Quarter, Woodstock Road, Oxford, OX2 6GG, UK.
Health Data Research UK · GBUniversity of Oxford · GBNHS Digital · GBUniversity of Cambridge · GB

Funding

Medical Research Council MC_PC_13040Medical Research Council MC_PC_19079Medical Research Council MC_PC_20029Medical Research Council MC_PC_20058Medical Research Council MC_UU_00015/7Medical Research Council MR/M501633/1Medical Research Council MR/S035699/1Wellcome Trust 212219/Z/18/Z
6 · The paper itself

Abstract

backgroundThe COVID-19 pandemic has presented unique challenges for rapidly designing, initiating, and delivering therapeutic clinical trials. PRINCIPLE (Platform Randomised Trial of Treatments in the Community for Epidemic and Pandemic Illnesses) is the UK national platform investigating repurposed therapies for COVID-19 treatment of older people in the community at high risk of complications. Standard methods of patient recruitment were failing to meet the required pace and scale of enrolment. This paper describes the development and appraisal of a near real-time, data-driven, ethical approach for enhancing recruitment in community care by contacting people with a recent COVID-19 positive test result from the central NHS Test and Trace service within approximately 24-48 h of their test result.

methodsA multi-disciplinary team was formed to solve the technical, ethical, public perception, logistical and information governance issues required to provide a near-real time (approximately within 24-48 h of receiving a positive test) feed of potential trial participants from test result data to the research team. PRINCIPLE was also given unique access to the Summary Care Record (SCR) to ensure safe prescribing, and to enable the trial team to quickly and safely bring consented patients into the trial. A survey of the public was used to understand public perceptions of the use of test data for this proposed methodology.

resultsPrior to establishing the data service, PRINCIPLE registered on average 87 participants per week. This increased by up to 87 additional people registered per week from the test data, contributing to an increase from 1013 recruits to PRINCIPLE at the start of October 2020 to 2802 recruits by 20 December 2020. Whilst procedural caveats were identified by the public consultation, out of 2639 people contacted by PRINCIPLE following a positive test result, no one raised a concern about being approached.

conclusionsThis paper describes a novel approach to using near-real time NHS operational data to recruit community-based patients within a few days of presentation with acute illness. This approach increased recruitment and reduced time between positive test and randomisation, allowing more rapid evaluation of treatments and increased safety for participants. End-to-end public and patient involvement in the design of the approach provided evidence to inform information governance decisions.

trial registrationPRINCIPLE is funded by UK Research and Innovation and the Department of Health and Social Care through the National Institute for Health Research. EudraCT number: 2020-001209-22 . 26/03/2020 ISRCTN registry: ISRCTN86534580 . 20/03/2020 REC number: 20/SC/058 IRAS number: 281958.

Indexed as

COVID-19 Drug TreatmentAdaptive Clinical Trials as TopicAgedHumansPandemicsPatient SelectionSARS-CoV-2Clinical trialsCOVID-19DataHealthcarePrimary carePublic and patient involvement and engagementRecruitment

Identifiers

PMID35057841
PMCPMC8771189
OpenAlexW4220818498

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.