Evidence map›Paper›PMID 32935027›Full record

ArticleInternational journal of population data science2019

Health Data Linkage for UK Public Interest Research: Key Obstacles and Solutions.

Miranda Jane Mourby, James Doidge, Kerina H Jones, Stergios Aidinlis, Hannah Smith, Jessica Bell, Ruth Gilbert, Peter Dutey-Magni, Jane Kaye

Abstract read
In one paragraph

Article in International journal of population data science, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

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

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Review
  9. Review
  10. The SEEDS of Indigenous population health data linkage.International journal of population data science · 2021
    Article
  11. 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

9 authors.

Miranda Jane MourbyCentre for Health, Law and Emerging Technologies, University of Oxford, Ewert House, Oxford, OX2 7DD, UK.
James DoidgeGreat Ormond Street Hospital Institute of Child Health and UCL Institute of Informatics, 222 Euston Road, London NW1 2DA, UK.
Kerina H JonesData Science Building, Swansea University Medical School, Singleton Park, Swansea SA2 8PP, UK.
Stergios AidinlisCentre for Health, Law and Emerging Technologies, University of Oxford, Ewert House, Oxford, OX2 7DD, UK.
Hannah SmithCentre for Health, Law and Emerging Technologies, University of Oxford, Ewert House, Oxford, OX2 7DD, UK.
Jessica BellCentre for Health, Law and Emerging Technologies, University of Oxford, Ewert House, Oxford, OX2 7DD, UK.
Ruth GilbertGreat Ormond Street Hospital Institute of Child Health and UCL Institute of Informatics, 222 Euston Road, London NW1 2DA, UK.
Peter Dutey-MagniGreat Ormond Street Hospital Institute of Child Health and UCL Institute of Informatics, 222 Euston Road, London NW1 2DA, UK.
Jane KayeCentre for Health, Law and Emerging Technologies, University of Oxford, Ewert House, Oxford, OX2 7DD, UK.

Funding

Medical Research Council MR/K006584/1
6 · The paper itself

Abstract

introductionAnalysis of linked health data can generate important, even life-saving, insights into population health. Yet obstacles both legal and organisational in nature can impede this work. APPROACH: We focus on three UK infrastructures set up to link and share data for research: the Administrative Data Research Network, NHS Digital, and the Secure Anonymised Information Linkage Databank. Bringing an interdisciplinary perspective, we identify key issues underpinning their challenges and successes in linking health data for research.

resultsWe identify examples of uncertainty surrounding legal powers to share and link data, and around data protection obligations, as well as systemic delays and historic public backlash. These issues require updated official guidance on the relevant law, approaches to linkage which are planned for impact and ongoing utility, greater transparency between data providers and researchers, and engagement with the patient population which is both high-profile and carefully considered.

conclusionsHealth data linkage for research presents varied challenges, to which there can be no single solution. Our recommendations would require action from a number of data providers and regulators to be meaningfully advanced. This illustrates the scale and complexity of the challenge of health data linkage, in the UK and beyond: a challenge which our case studies suggest no single organisation can combat alone. Planned programmes of linkage are critical because they allow time for organisations to address these challenges without adversely affecting the feasibility of individual research projects.

Identifiers

PMID32935027
PMCPMC7482514

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.