Evidence map›Paper›PMID 41341987›Full record

ArticleJMIR neurotechnology2023

Clinical Perspectives on Using Remote Measurement Technology in Assessing Epilepsy, Multiple Sclerosis, and Depression: Delphi Study.

Jacob A Andrews, Michael P Craven, Boliang Guo, Janice Weyer, Simon Lees, Spyridon I Zormpas, Sarah E Thorpe, Julie Devonshire, Victoria San Antonio-Arce, William P Whitehouse and 17 more

Abstract read
In one paragraph

Article in JMIR neurotechnology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

27 authors.

Jacob A AndrewsNational Institute for Health and Care Research MindTech MedTech Co-operative University of Nottingham Nottingham United Kingdom.ORCID https://orcid.org/0000-0001-8408-5782
Michael P CravenNational Institute for Health and Care Research MindTech MedTech Co-operative University of Nottingham Nottingham United Kingdom.ORCID https://orcid.org/0000-0001-5682-6360
Boliang GuoNational Institute for Health and Care Research Applied Research Collaboration East Midlands School of Medicine University of Nottingham Nottingham United Kingdom.ORCID https://orcid.org/0000-0002-1844-705X
Janice WeyerPatient Advisory Board RADAR-CNS Kings College London London United Kingdom.ORCID https://orcid.org/0000-0002-7838-6260
Simon LeesPatient Advisory Board RADAR-CNS Kings College London London United Kingdom.ORCID https://orcid.org/0000-0001-5140-7394
Spyridon I ZormpasPatient Advisory Board RADAR-CNS Kings College London London United Kingdom.ORCID https://orcid.org/0009-0007-8964-0117
Sarah E ThorpePatient Advisory Board RADAR-CNS Kings College London London United Kingdom.ORCID https://orcid.org/0000-0001-8973-3777
Julie DevonshirePatient Advisory Board RADAR-CNS Kings College London London United Kingdom.ORCID https://orcid.org/0000-0003-4218-8323
Victoria San Antonio-ArceFreiburg Epilepsy Center, Medical Center Faculty of Medicine University of Freiburg Freiburg Germany.ORCID https://orcid.org/0000-0002-2780-6560
William P WhitehouseDivision of Child Health, Obstetrics and Gynaecology School of Medicine University of Nottingham Nottingham United Kingdom.ORCID https://orcid.org/0000-0001-5207-5731
Jessica JulieNational Institute for Health and Care Research Biomedical Research Centre for Mental Health Kings College London London United Kingdom.ORCID https://orcid.org/0000-0001-8296-3043
Sam MalinsNottinghamshire Healthcare National Health Service Foundation Trust Nottingham United Kingdom.ORCID https://orcid.org/0000-0001-9570-186X
Alexander HammersSchool of Biomedical Engineering and Imaging Sciences King's College London London United Kingdom.ORCID https://orcid.org/0000-0001-9530-4848
Andreas ReifDepartment of Psychiatry, Psychosomatic Medicine and Psychotherapy Goethe University Frankfurt am Main Germany.ORCID https://orcid.org/0000-0002-0992-634X
Henricus G RuheDepartment of Psychiatry Radboud University Medical Center Nijmegen Netherlands.ORCID https://orcid.org/0000-0001-6072-0358
Federico DurbanoDepartment of Mental Health and Addictions Aziende Socio Sanitarie Territoriali Melegnano e della Martesana Lombardy Italy.ORCID https://orcid.org/0000-0003-4326-9846
Stefano BarlatiDepartment of Clinical and Experimental Sciences University of Brescia Brescia Italy.ORCID https://orcid.org/0000-0002-1784-3915
Arjune SenOxford Epilepsy Research Group Nuffield Department of Clinical Neurosciences University of Oxford Oxford United Kingdom.ORCID https://orcid.org/0000-0002-8948-4763
Jette L FrederiksenDepartment of Neurology Rigshospitalet Glostrup University of Copenhagen Copenhagen Denmark.ORCID https://orcid.org/0000-0003-1661-7438
Alessandra MartinelliIstituto di Ricovero e Cura a Carattere Scientifico Istituto Centro San Giovanni di Dio Fatebenefratelli Brescia Italy.ORCID https://orcid.org/0000-0002-4430-0713
Antonio CallenDepartment of Neurology Parc Sanitari Sant Joan de Déu Barcelona Spain.ORCID https://orcid.org/0009-0000-5003-1962
Joan Torras-BorrellCentre d'Atenció Primària Sant Llàtzer Consorci Sanitari de Terrassa Barcelona Spain.ORCID https://orcid.org/0000-0002-5773-7447
Nuria Berrocal-IzquierdoParc Sanitari Sant Joan de Deu Barcelona Spain.ORCID https://orcid.org/0000-0003-3441-989X
Ana ZabalzaServei de Neurologia-Neuroimmunologia Centre d'Esclerosi Múltiple de Catalunya (Cemcat) Vall d'Hebron Hospital Universitari Barcelona Spain.ORCID https://orcid.org/0000-0003-3860-5251
Richard MorrissNational Institute for Health and Care Research MindTech MedTech Co-operative University of Nottingham Nottingham United Kingdom.ORCID https://orcid.org/0000-0003-2910-4121
Chris HollisNational Institute for Health and Care Research MindTech MedTech Co-operative University of Nottingham Nottingham United Kingdom.ORCID https://orcid.org/0000-0003-1083-6744
RADAR-CNS Consortium

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Multiple sclerosis (MS), epilepsy, and depression are chronic central nervous system conditions in which remote measurement technology (RMT) may offer benefits compared with usual assessment. We previously worked with clinicians, patients, and researchers to develop 13 use cases for RMT: 5 in epilepsy (seizure alert, seizure counting, risk scoring, triage support, and trend analysis), 3 in MS (detecting silent progression, detecting depression in MS, and donating data to a biobank), and 5 in depression (detecting trends, reviewing treatment, self-management, comorbid monitoring, and carer alert). Objective: In this study, we aimed to evaluate the use cases and related implementation issues with an expert panel of clinicians external to our project consortium. Methods: We used a Delphi exercise to validate the use cases and suggest a prioritization among them and to ascertain the importance of a variety of implementation issues related to RMT. The expert panel included clinicians from across Europe who were external to the project consortium. The study had 2 survey rounds (n=23 and n=17) and a follow-up interview round (n=9). Data were analyzed for consensus between participants and for stability between survey rounds. The interviews explored the reasons for answers given in the survey. Results: The findings showed high stability between rounds on questions related to specific use cases but lower stability on questions relating to wider issues around the implementation of RMT. Overall, questions on wider issues also had less consensus. All 5 use cases for epilepsy (seizure alert, seizure counting, risk scoring, triage support, and trend analysis) were considered beneficial, with consensus among participants above the a priori threshold for most questions, although use case 3 (risk scoring) was considered less likely to facilitate or catalyze care. There was very little consensus on the benefits of the use cases in MS, although this may have resulted from a higher dropout rate of MS clinicians (50%). Participants agreed that there would be benefits for all 5 of the depression use cases, although fewer questions on use case 4 (triage support) reached consensus agreement than for depression use cases 1 (detecting trends), 2 (reviewing treatment), 3 (self-management), and 5 (carer alert). The qualitative analysis revealed further insights into each use case and generated 8 themes on practical issues related to implementation. Conclusions: Overall, these findings inform the prioritization of use cases for RMT that could be developed in future work, which may include clinical trials, cost-effectiveness studies, and the commercial development of RMT products and services. Priorities for further development include the use of RMT to provide more accurate records of symptoms and treatment response than is currently possible and to provide data that could help inform patient triage and generate timely alerts for patients and carers.

Indexed as

central nervous systemDelphidepressiondepressive disorderepilepsyexpert opinionexpert panelimplementationmHealthmobile healthmobile phoneMSmultiple sclerosisnervous system disorderneurological disorderneurologyperspectiveremote measurement technologyRMTsmartphoneuse casewearablewearable technology

Identifiers

PMID41341987
PMCPMC12671310

What OpenQuestion holds

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Registered trials

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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.