Evidence map›Paper›PMID 37793928›Full record

ReviewBMJ open2023

Navigating data governance associated with real-world data for public benefit: an overview in the UK and future considerations.

Monica Catherine Jones, Tony Stone, Suzanne M Mason, Andy Eames, Matthew Franklin

Abstract readReview
In one paragraph

Review in BMJ open, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

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

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Review
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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

5 authors.

Monica Catherine JonesFaculty of Medicine and Health, University of Leeds, Leeds, UK m.c.m.jones@leeds.ac.uk.ORCID 0000-0001-7929-2808
Tony StoneSchool of Health and Related Research, The University of Sheffield Faculty of Medicine Dentistry and Health, Sheffield, UK.
Suzanne M MasonSchool of Health and Related Research, The University of Sheffield, Sheffield, UK.
Andy EamesHealth Informatics, NHS Sheffield CCG, Sheffield, UK.
Matthew FranklinSchool of Health and Related Research, The University of Sheffield, Sheffield, UK.ORCID 0000-0002-2774-9439

Funding

Department of Health 133634Department of Health 200166
6 · The paper itself

Abstract

Real-world data encompass data primarily captured for the provision or operation of services, for example, electronic health records for direct care purposes, but which may have secondary uses for informing research or commissioning. Public benefit is potentially forfeited by the underutilisation of real-world data for secondary uses, in part due to risk aversion when faced with the prospect of navigating necessary and important data governance processes. Such processes can be perceived as complex, daunting, time-consuming and exposing organisations to risk. By providing an overview description and discussion around the role of six key legal and information governance frameworks and their role regarding responsible data access, linkage and sharing, our intention is to make data governance a less daunting prospect and reduce the perception that it is a barrier to secondary uses, thus enabling public benefit.

Indexed as

Biomedical ResearchElectronic Health RecordsHumansIntentionUnited KingdomHealth informaticsHealth policyInformation managementInformation technology

Identifiers

PMID37793928
PMCPMC10551984

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.