Evidence map›Paper›PMID 32706664›Full record

ArticleJournal of medical Internet research2020

Health Care Professionals' Views on Using Remote Measurement Technology in Managing Central Nervous System Disorders: Qualitative Interview Study.

Jacob A Andrews, Michael P Craven, Jennifer Jamnadas-Khoda, Alexandra R Lang, Richard Morriss, Chris Hollis, RADAR-CNS Consortium

Open access · goldAbstract read
In one paragraph

Article in Journal of medical Internet research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed, 2 pooled it
4.3field-weighted citation impact, top 5% 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

17 citing papers in PubMed, 2 syntheses or guidelines pooled it, 34 citations in OpenAlex.

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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

7 authors at 1 institution in 1 country.

Jacob A AndrewsDivision of Psychiatry and Applied Psychology, Institute of Mental Health, School of Medicine, University of Nottingham, Nottingham, United Kingdom.ORCID 0000-0001-8408-5782
Michael P CravenNIHR MindTech Medtech Co-operative, Institute of Mental Health, University of Nottingham, Nottingham, United Kingdom.ORCID 0000-0001-5682-6360
Jennifer Jamnadas-KhodaNIHR MindTech Medtech Co-operative, Institute of Mental Health, University of Nottingham, Nottingham, United Kingdom.ORCID 0000-0002-3372-4924
Alexandra R LangNIHR MindTech Medtech Co-operative, Institute of Mental Health, University of Nottingham, Nottingham, United Kingdom.ORCID 0000-0002-7332-9443
Richard MorrissDivision of Psychiatry and Applied Psychology, Institute of Mental Health, School of Medicine, University of Nottingham, Nottingham, United Kingdom.ORCID 0000-0003-2910-4121
Chris HollisDivision of Psychiatry and Applied Psychology, Institute of Mental Health, School of Medicine, University of Nottingham, Nottingham, United Kingdom.ORCID 0000-0003-1083-6744
RADAR-CNS Consortium *The RADAR-CNS Consortium, London, United Kingdom.
University of Nottingham · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundRemote measurement technologies (RMT) can be used to collect data on a variety of bio-behavioral variables, which may improve the care of patients with central nervous system disorders. Although various studies have explored their potential, prior work has highlighted a knowledge gap in health care professionals' (HCPs) perceptions of the value of RMT in clinical practice.

objectiveThis study aims to understand HCPs' perspectives on using RMT in health care practice for the care of patients with depression, epilepsy, or multiple sclerosis (MS).

methodsSemistructured interviews were conducted with 26 multidisciplinary primary and secondary care HCPs who care for patients with epilepsy, depression, or MS. Interviews were transcribed verbatim and analyzed using thematic analysis.

resultsA total of 8 main themes emerged from the analysis: (1) potential clinical value of RMT data; (2) when to use RMT in care pathways; (3) roles of health care staff who may use RMT data; (4) presentation and accessibility of data; (5) obstacles to successful use of RMT; (6) limits to the role of RMT; (7) empowering patients; and (8) considerations around alert-based systems.

conclusionsRMT could add value to the system of care for patients with central nervous system disorders by providing clinicians with graphic summaries of data in the patient record. Barriers of both technical and human nature should be considered when using these technologies, as should the limits to the benefits they can offer.

Indexed as

Central Nervous System DiseasesFemaleHealth PersonnelHumansInterview, PsychologicalMaleQualitative ResearchRemote ConsultationTechnologybarriersdepressioneHealthepilepsyhealth personnelmedical devicesmHealthmobile phonesmultiple sclerosisqualitative

Identifiers

PMID32706664
PMCPMC7414408
OpenAlexW3023209588

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.