Evidence map›Paper›PMID 34888271›Full record

ReviewFrontiers in public health2021

Understanding the Barriers and Facilitators to Sharing Patient-Generated Health Data Using Digital Technology for People Living With Long-Term Health Conditions: A Narrative Review.

Emma Simpson, Richard Brown, Elizabeth Sillence, Lynne Coventry, Karen Lloyd, Jo Gibbs, Shema Tariq, Abigail C Durrant

Abstract readReview
In one paragraph

Review in Frontiers in public health, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed
–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

24 citing papers in PubMed.

  1. Article
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  8. Observational
  9. Factors impacting electronic patient-generated data use in safety-net systems: a qualitative study.Journal of the American Medical Informatics Association : JAMIA · 2025
    Article
  10. Proceedings of the ACM on human-computer interaction · 2025
    Article
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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

8 authors.

Emma SimpsonThe NHS Business Services Authority, Newcastle upon Tyne, United Kingdom.
Richard BrownDepartment of Psychology, Northumbria University Newcastle, Newcastle upon Tyne, United Kingdom.
Elizabeth SillenceDepartment of Psychology, Northumbria University Newcastle, Newcastle upon Tyne, United Kingdom.
Lynne CoventryDepartment of Psychology, Northumbria University Newcastle, Newcastle upon Tyne, United Kingdom.
Karen LloydInstitute for Global Health, University College London, London, United Kingdom.
Jo GibbsInstitute for Global Health, University College London, London, United Kingdom.
Shema TariqInstitute for Global Health, University College London, London, United Kingdom.
Abigail C DurrantOpen Lab, School of Computing, Newcastle University, Newcastle upon Tyne, United Kingdom.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Using digital technology to share patient-generated health data has the potential to improve the self-management of multiple long-term health conditions. Sharing these data can allow patients to receive additional support from healthcare professionals and peer communities, as well as enhance their understanding of their own health. A deeper understanding of the concerns raised by those living with long-term health conditions when considering whether to share health data

Indexed as

Digital TechnologyHumansInformation DisseminationPrivacyTrustdata sharingidentitylong-term health conditionspatient-generated health dataprivacysecuritytechnologytrust

Identifiers

PMID34888271
PMCPMC8650083

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.