Evidence map›Paper›PMID 33835034›Full record

SynthesisJournal of medical Internet research2021

Information Quality Frameworks for Digital Health Technologies: Systematic Review.

Kayode Philip Fadahunsi, Siobhan O'Connor, James Tosin Akinlua, Petra A Wark, Joseph Gallagher, Christopher Carroll, Josip Car, Azeem Majeed, John O'Donoghue

Abstract readSystematic Review
In one paragraph

Synthesis in Journal of medical Internet research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers.

0numbers the graph read from it
0cells of the map it votes in
30citing 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

30 citing papers in PubMed.

  1. Article
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  8. Article
  9. Review
  10. An Information Quality Framework for Managed Health Care.Journal of healthcare leadership · 2024
    Article
  11. Article
  12. Article
  13. Review
  14. Article
  15. Article
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  17. Review
  18. 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

9 authors.

Kayode Philip FadahunsiDepartment of Public Health and Primary Care, Imperial College London, London, United Kingdom.ORCID 0000-0003-1470-5493
Siobhan O'ConnorSchool of Health in Social Science, The University of Edinburgh, Edinburgh, United Kingdom.ORCID 0000-0001-8579-1718
James Tosin AkinluaDepartment of Primary Care and Population Health Sciences, University College London, London, United Kingdom.ORCID 0000-0002-9887-0033
Petra A WarkDepartment of Primary Care and Population Health Sciences, University College London, London, United Kingdom.ORCID 0000-0003-1020-4640
Joseph GallaghergHealth Research Group, School of Medicine, University College Dublin, Dublin, Ireland.ORCID 0000-0002-5564-2890
Christopher CarrollHealth Economics and Decision Science, School of Health and Related Research, The University of Sheffield, Sheffield, United Kingdom.ORCID 0000-0002-6361-6182
Josip CarDepartment of Public Health and Primary Care, Imperial College London, London, United Kingdom.ORCID 0000-0001-8969-371X
Azeem MajeedDepartment of Public Health and Primary Care, Imperial College London, London, United Kingdom.ORCID 0000-0002-2357-9858
John O'DonoghueMalawi eHealth Research Centre, University College Cork, Cork, Ireland.ORCID 0000-0001-6056-8640

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDigital health technologies (DHTs) generate a large volume of information used in health care for administrative, educational, research, and clinical purposes. The clinical use of digital information for diagnostic, therapeutic, and prognostic purposes has multiple patient safety problems, some of which result from poor information quality (IQ).

objectiveThis systematic review aims to synthesize an IQ framework that could be used to evaluate the extent to which digital health information is fit for clinical purposes.

methodsThe review was conducted according to the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analysis) guidelines. We searched Embase, MEDLINE, PubMed, CINAHL, Maternity and Infant Care, PsycINFO, Global Health, ProQuest Dissertations and Theses Global, Scopus, and HMIC (the Health Management Information Consortium) from inception until October 2019. Multidimensional IQ frameworks for assessing DHTs used in the clinical context by health care professionals were included. A thematic synthesis approach was used to synthesize the Clinical Information Quality (CLIQ) framework for digital health.

resultsWe identified 10 existing IQ frameworks from which we developed the CLIQ framework for digital health with 13 unique dimensions: accessibility, completeness, portability, security, timeliness, accuracy, interpretability, plausibility, provenance, relevance, conformance, consistency, and maintainability, which were categorized into 3 meaningful categories: availability, informativeness, and usability.

conclusionsThis systematic review highlights the importance of the IQ of DHTs and its relevance to patient safety. The CLIQ framework for digital health will be useful in evaluating and conceptualizing IQ issues associated with digital health, thus forestalling potential patient safety problems.

trial registrationPROSPERO International Prospective Register of Systematic Reviews CRD42018097142; https://www.crd.york.ac.uk/prospero/display_record.php?RecordID=97142. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): RR2-10.1136/bmjopen-2018-024722.

Indexed as

Delivery of Health CareFemaleHumansPregnancydigital healthinformation qualitypatient safety

Identifiers

PMID33835034
PMCPMC8167621

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.