Evidence map›Paper›PMID 33214194›Full record

ArticleBMJ health & care informatics2020

National Institute for Health Research Health Informatics Collaborative: development of a pipeline to collate electronic clinical data for viral hepatitis research.

David Anthony Smith, Tingyan Wang, Oliver Freeman, Charles Crichton, Hizni Salih, Philippa Clare Matthews, Jim Davies, Kinga Anna Várnai, Kerrie Woods, Christopher R Jones and 14 more

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In one paragraph

Article in BMJ health & care informatics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

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

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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

24 authors.

David Anthony Smith *Oxford University Hospitals NHS Foundation Trust, Oxford, Oxfordshire, UK.ORCID http://orcid.org/0000-0001-7778-7137
Tingyan Wang *NIHR Oxford Biomedical Research Centre, Big Data Institute, University of Oxford, Oxford, Oxfordshire, UK.
Oliver Freeman *NIHR Oxford Biomedical Research Centre, Big Data Institute, University of Oxford, Oxford, Oxfordshire, UK.
Charles CrichtonNIHR Oxford Biomedical Research Centre, Big Data Institute, University of Oxford, Oxford, Oxfordshire, UK.
Hizni SalihNIHR Oxford Biomedical Research Centre, Big Data Institute, University of Oxford, Oxford, Oxfordshire, UK.
Philippa Clare MatthewsNuffield Department of Medicine, University of Oxford, Oxford, Oxfordshire, UK.
Jim DaviesNIHR Oxford Biomedical Research Centre, Big Data Institute, University of Oxford, Oxford, Oxfordshire, UK.
Kinga Anna VárnaiOxford University Hospitals NHS Foundation Trust, Oxford, Oxfordshire, UK.
Kerrie WoodsOxford University Hospitals NHS Foundation Trust, Oxford, Oxfordshire, UK.ORCID http://orcid.org/0000-0001-8106-8290
Christopher R JonesDepartment of Infectious Disease, St Mary's Campus, Imperial College London, London, UK.
Ben GlampsonResearch Informatics Team, Imperial College Healthcare NHS Trust, London, UK.
Abdulrahim MullaResearch Informatics Team, Imperial College Healthcare NHS Trust, London, UK.
Luca MercuriResearch Informatics Team, Imperial College Healthcare NHS Trust, London, UK.
A Torm ShawClinical Trials Centre, Winston Churchill Wing, St Mary's Campus, Imperial College London, London, UK.ORCID http://orcid.org/0000-0001-5860-0146
Lydia N DrumrightCambridge University Hospitals NHS Foundation Trust, Cambridge, Cambridgeshire, UK.
Luis RomãoNational Institute for Health Research Biomedical Research Centre, University College London Hospitals, London, UK.
David RamlakanNational Institute for Health Research Biomedical Research Centre, University College London Hospitals, London, UK.
Finola HigginsGuy's and Saint Thomas' Hospitals NHS Trust, London, UK.
Alistair WeirGuy's and Saint Thomas' Hospitals NHS Trust, London, UK.
Eleni NastouliNational Institute for Health Research Biomedical Research Centre, University College London Hospitals, London, UK.
Kosh AgarwalInstitute of Liver Studies, King's College London, London, UK.
William GelsonCambridge University Hospitals NHS Foundation Trust, Cambridge, Cambridgeshire, UK.
Graham S CookeDepartment of Infectious Disease, St Mary's Campus, Imperial College London, London, UK.
Eleanor BarnesOxford University Hospitals NHS Foundation Trust, Oxford, Oxfordshire, UK ellie.barnes@ndm.ox.ac.uk.

Funding

Wellcome Trust
6 · The paper itself

Abstract

objectiveThe National Institute for Health Research (NIHR) Health Informatics Collaborative (HIC) is a programme of infrastructure development across NIHR Biomedical Research Centres. The aim of the NIHR HIC is to improve the quality and availability of routinely collected data for collaborative, cross-centre research. This is demonstrated through research collaborations in selected therapeutic areas, one of which is viral hepatitis.

designThe collaboration in viral hepatitis identified a rich set of datapoints, including information on clinical assessment, antiviral treatment, laboratory test results and health outcomes. Clinical data from different centres were standardised and combined to produce a research-ready dataset; this was used to generate insights regarding disease prevalence and treatment response.

resultsA comprehensive database has been developed for potential viral hepatitis research interests, with a corresponding data dictionary for researchers across the centres. An initial cohort of 960 patients with chronic hepatitis B infections and 1404 patients with chronic hepatitis C infections has been collected.

conclusionFor the first time, large prospective cohorts are being formed within National Health Service (NHS) secondary care services that will allow research questions to be rapidly addressed using real-world data. Interactions with industry partners will help to shape future research and will inform patient-stratified clinical practice. An emphasis on NHS-wide systems interoperability, and the increased utilisation of structured data solutions for electronic patient records, is improving access to data for research, service improvement and the reduction of clinical data gaps.

Indexed as

Databases, FactualElectronic Health RecordsHepatitis B, ChronicHepatitis CResearchEnd Stage Liver DiseaseHumansSeverity of Illness IndexState MedicineBMJ Health Informaticscomputer methodologiesinformation systemsrecord systems

Identifiers

PMID33214194
PMCPMC7678229

What OpenQuestion holds

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LicenceCC BY
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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.