Evidence map›Paper›PMID 36720494›Full record

ArticleBMJ health & care informatics2023

Involving multiple stakeholders in assessing and reviewing a novel data visualisation tool for a national neonatal data asset.

William Bishop Lammons, Becky Moss, Charlie Bignell, Chris Gale, Adam MacBride, Ricardo Ribas, Cheryl Battersby, Neena Modi

Abstract read
In one paragraph

Article in BMJ health & care informatics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

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

  1. Pooled it
  2. Article
  3. Review
  4. Article
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

8 authors.

William Bishop LammonsDepartment of Applied Health Research, UCL, London, UK william.lammons@ucl.ac.uk.ORCID http://orcid.org/0000-0002-8302-9831
Becky MossSection of Neonatal Medicine, School of Primary Care and Public Health, Imperial College London, London, UK.
Charlie BignellSection of Neonatal Medicine, School of Primary Care and Public Health, Imperial College London, London, UK.
Chris GaleSection of Neonatal Medicine, School of Primary Care and Public Health, Imperial College London, London, UK.
Adam MacBridePublic co-author, n/a, London, UK.
Ricardo RibasSection of Neonatal Medicine, School of Primary Care and Public Health, Imperial College London, London, UK.
Cheryl BattersbySection of Neonatal Medicine, School of Primary Care and Public Health, Imperial College London, London, UK.
Neena ModiSection of Neonatal Medicine, School of Primary Care and Public Health, Imperial College London, London, UK.

Funding

Medical Research Council MR/T016752/1
6 · The paper itself

Abstract

objectivesWe involved public and professional stakeholders to assess a novel data interrogation tool, the Neonatal Health Intelligence Tool, for a National Data Asset, the National Neonatal Research Database.

methodsWe recruited parents, preterm adults, data managers, clinicians, network managers and researchers (trialists and epidemiologists) for consultations demonstrating a prototype tool and semi-structured discussion. A thematic analysis of consultations is reported by stakeholder group.

resultsWe held nine on-line consultations (March-December 2021), with 24 stakeholders: parents (n=8), preterm adults (n=2), data managers (n=3), clinicians (n=3), network managers (n=2), triallists (n=3) and epidemiologists (n=3). We identified four themes from parents/preterm adults: struggling to consume information, Dads and data, bring data to life and yearning for predictions; five themes from data managers/clinicians/network managers: benchmarking, clinical outcomes, transfers and activity, the impact of socioeconomic background and ethnicity, and timeliness of updates and widening availability; and one theme from researchers: interrogating the data. DISCUSSION: Other patient and public involvement (PPI) studies have reported that data tools generate concerns; our stakeholders had none. They were unanimously supportive and enthusiastic, citing visualisation as the tool's greatest strength. Stakeholders had no criticisms; instead, they recognised the tool's potential and wanted more features. Parents saw the tool as an opportunity to inform themselves without burdening clinicians, while clinicians welcomed an aid to explaining potential outcomes to parents.

conclusionAll stakeholder groups recognised the need for the tool, praising its content and format. PPI consultations with all key groups, and their synthesis, illustrated desire for additional uses from it.

Indexed as

Databases as TopicData VisualizationInfant, NewbornAdultHealth PersonnelHumansParentsdata visualizationelectronic health recordshealth information systemspatient involvement

Identifiers

PMID36720494
PMCPMC9890751

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.