Evidence map›Paper›PMID 34645428›Full record

ArticleBMC medical informatics and decision making2021

The impact of data from remote measurement technology on the clinical practice of healthcare professionals in depression, epilepsy and multiple sclerosis: survey.

J A Andrews, M P Craven, A R Lang, B Guo, R Morriss, C Hollis, RADAR-CNS Consortium

Erratum issuedAbstract read
In one paragraph

Article in BMC medical informatics and decision making, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 9 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 1 pooled it
–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

9 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Trial
  3. Article
  4. Review
  5. Article
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors.

J A AndrewsNIHR MindTech MedTech Co-operative, Institute of Mental Health, University of Nottingham, Triumph Road, Jubilee Campus, Nottingham, NG7 2TU, UK. Jacob.andrews@nottingham.ac.uk.
M P CravenNIHR MindTech MedTech Co-operative, Institute of Mental Health, University of Nottingham, Triumph Road, Jubilee Campus, Nottingham, NG7 2TU, UK.
A R LangHuman Factors Research Group, Faculty of Engineering, University of Nottingham, Nottingham, UK.
B GuoARC-EM, School of Medicine, University of Nottingham, Nottingham, UK.
R MorrissNIHR MindTech MedTech Co-operative, Institute of Mental Health, University of Nottingham, Triumph Road, Jubilee Campus, Nottingham, NG7 2TU, UK.
C HollisNIHR MindTech MedTech Co-operative, Institute of Mental Health, University of Nottingham, Triumph Road, Jubilee Campus, Nottingham, NG7 2TU, UK.
RADAR-CNS Consortium

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundA variety of smartphone apps and wearables are available both to help patients monitor their health and to support health care professionals (HCPs) in providing clinical care. As part of the RADAR-CNS consortium, we have conducted research into the application of wearables and smartphone apps in the care of people with multiple sclerosis, epilepsy, or depression.

methodsWe conducted a large online survey study to explore the experiences of HCPs working with patients who have one or more of these conditions. The survey covered smartphone apps and wearables used by clinicians and their patients, and how data from these technologies impacted on the respondents' clinical practice. The survey was conducted between February 2019 and March 2020 via a web-based platform. Detailed statistical analysis was performed on the answers.

resultsOf 1009 survey responses from HCPs, 1006 were included in the analysis after data cleaning. Smartphone apps are used by more than half of responding HCPs and more than three quarters of their patients use smartphone apps or wearable devices for health-related purposes. HCPs widely believe the data that patients collect using these devices impacts their clinical practice. Subgroup analyses show that views on the impact of this data on different aspects of clinical work varies according to whether respondents use apps themselves, and, to a lesser extent, according to their clinical setting and job role.

conclusionsUse of smartphone apps is widespread among HCPs participating in this large European survey and caring for people with epilepsy, multiple sclerosis and depression. The majority of respondents indicate that they treat patients who use wearables and other devices for health-related purposes and that data from these devices has an impact on clinical practice.

Indexed as

EpilepsyMobile ApplicationsMultiple SclerosisDelivery of Health CareDepressionHealth PersonnelHumansSmartphoneSurveys and QuestionnairesTechnologyDepressionEpilepsyHealthcare professionalsMultiple sclerosisRemote measurement technologySmartphone appsSurvey

Identifiers

PMID34645428
PMCPMC8513566

What OpenQuestion holds

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LicenceCC BY
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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.