Evidence map›Paper›PMID 37369399›Full record

ArticleBMJ open2023

Stakeholder-led understanding of the implementation of digital technologies within heart disease diagnosis: a qualitative study protocol.

Kamilla Abdullayev, Timothy Ja Chico, Matthew Manktelow, Oliver Buckley, Joan Condell, Richard J Van Arkel, Vanessa Diaz, Faith Matcham

Open access · goldAbstract read
In one paragraph

Article in BMJ open, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.9field-weighted citation impact, top 25% of its field
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

2 citing papers in PubMed, 3 citations in OpenAlex.

  1. Article
  2. 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 at 6 institutions in 2 countries.

Kamilla AbdullayevSchool of Psychology, University of Sussex, Brighton, UK kga21@sussex.ac.uk.ORCID 0000-0001-6233-5955
Timothy Ja ChicoDepartment of Infection, Immunity and Cardiovascular Disease, The Medical School, The University of Sheffield, Sheffield, UK.
Matthew ManktelowSchool of Computing, Engineering and Intelligent Systems, University of Ulster at Magee, Londonderry, UK.
Oliver BuckleySchool of Computing Sciences, University of East Anglia, Norwich, UK.
Joan CondellSchool of Computing, Engineering and Intelligent Systems, University of Ulster at Magee, Londonderry, UK.
Richard J Van ArkelDepartment of Mechanical Engineering, Imperial College London, London, UK.
Vanessa DiazDepartment of Mechanical Engineering, University College London, London, UK.
Faith MatchamSchool of Psychology, University of Sussex, Brighton, UK.
University of Sussex · GBUniversity of Ulster · GBImperial College London · GBUniversity of East Anglia · GBUniversity of Sheffield · GBWellcome / EPSRC Centre for Interventional and Surgical Sciences · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionCardiovascular diseases are highly prevalent among the UK population, and the quality of care is being reduced due to accessibility and resource issues. Increased implementation of digital technologies into the cardiovascular care pathway has enormous potential to lighten the load on the National Health Service (NHS), however, it is not possible to adopt this shift without embedding the perspectives of service users and clinicians. METHODS AND ANALYSIS: A series of qualitative studies will be carried out with the aim of developing a stakeholder-led perspective on the implementation of digital technologies to improve holistic diagnosis of heart disease. This will be a decentralised study with all data collection being carried out online with a nationwide cohort. Four focus groups, each with 5-6 participants, will be carried out with people with lived experience of heart disease, and 10 one-to-one interviews will be carried out with clinicians with experience of diagnosing heart diseases. The data will be analysed using an inductive thematic analysis approach. ETHICS AND DISSEMINATION: This study received ethical approval from the Sciences and Technology Cross Research Council at the University of Sussex (reference ER/FM409/1). Participants will be required to provide informed consent via a Qualtrics survey before being accepted into the online interview or focus group. The findings will be disseminated through conference presentations, peer-reviewed publications and to the study participants.

Indexed as

Heart DiseasesState MedicineDigital TechnologyHumansQualitative ResearchSurveys and QuestionnairesAdult cardiologyMENTAL HEALTHPREVENTIVE MEDICINE

Identifiers

PMID37369399
PMCPMC10410804
OpenAlexW4382344967

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.