• Login
    View Item 
    •   Home
    • Nottinghamshire Healthcare NHS Foundation Trust
    • Conditions and Diseases
    • Mental Health and Behavioural Conditions
    • Depression
    • View Item
    •   Home
    • Nottinghamshire Healthcare NHS Foundation Trust
    • Conditions and Diseases
    • Mental Health and Behavioural Conditions
    • Depression
    • View Item
    JavaScript is disabled for your browser. Some features of this site may not work without it.

    Browse

    All of EMERCommunitiesPublication DateAuthorsTitlesSubjectsThis CollectionPublication DateAuthorsTitlesSubjectsProfilesView

    My Account

    LoginRegister

    Links

    About EMERPoliciesDerbyshire Community Health Services NHS Foundation TrustLeicester Partnership TrustNHS Nottingham and Nottinghamshire CCGNottinghamshire Healthcare NHS Foundation TrustNottingham University Hospitals NHS TrustSherwood Forest Hospitals NHS Foundation TrustUniversity Hospitals of Derby and Burton NHS Foundation TrustUniversity Hospitals Of Leicester NHS TrustOther Resources

    Statistics

    Most Popular ItemsStatistics by CountryMost Popular Authors

    Making remote measurement technology work in multiple sclerosis, epilepsy and depression: survey of healthcare professionals

    • CSV
    • RefMan
    • EndNote
    • BibTex
    • RefWorks
    Thumbnail
    Name:
    Andrews et al 2022 125.pdf
    Size:
    1.258Mb
    Format:
    PDF
    Download
    Author
    Andrews, Jacob A.
    Craven, Michael P.
    Lang, Alexandra
    Guo, Boliang
    Morriss, Richard K.
    Hollis, Chris P.
    Keyword
    Depression
    Epilepsy
    Health personnel
    Multiple sclerosis
    Date
    2022
    
    Metadata
    Show full item record
    DOI
    10.1186/s12911-022-01856-z
    Publisher's URL
    https://bmcmedinformdecismak.biomedcentral.com/articles/10.1186/s12911-022-01856-z
    Abstract
    BACKGROUND: Epilepsy, multiple sclerosis (MS) and depression are long term, central nervous system disorders which have a significant impact on everyday life. Evaluating symptoms of these conditions is problematic and typically involves repeated visits to a clinic. Remote measurement technology (RMT), consisting of smartphone apps and wearables, may offer a way to improve upon existing methods of managing these conditions. The present study aimed to establish the practical requirements that would enable clinical integration of data from patients' RMT, according to healthcare professionals. METHODS: This paper reports findings from an online survey of 1006 healthcare professionals currently working in the care of people with epilepsy, MS or depression. The survey included questions on types of data considered useful, how often data should be collected, the value of RMT data, preferred methods of accessing the data, benefits and challenges to RMT implementation, impact of RMT data on clinical practice, and requirement for technical support. The survey was presented on the JISC online surveys platform. RESULTS: Among this sample of 1006 healthcare professionals, respondents were positive about the benefits of RMT, with 73.2% indicating their service would be likely or highly likely to benefit from the implementation of RMT in patient care plans. The data from patients' RMT devices should be made available to all nursing and medical team members and could be reviewed between consultations where flagged by the system. However, results suggest it is also likely that RMT data would be reviewed in preparation for and during a consultation with a patient. Time to review information is likely to be one of the greatest barriers to successful implementation of RMT in clinical practice. CONCLUSIONS: While further work would be required to quantify the benefits of RMT in clinical practice, the findings from this survey suggest that a wide array of clinical team members treating epilepsy, MS and depression would find benefit from RMT data in the care of their patients. Findings presented could inform the implementation of RMT and other digital interventions in the clinical management of a range of neurological and mental health conditions.
    Citation
    Andrews, J. A., Craven, M. P., Lang, A., Guo, B., Morriss, R. K. & Hollis, C. P. (2022). Making remote measurement technology work in multiple sclerosis, epilepsy and depression: survey of healthcare professionals. BMC Medical Informatics and Decision Making, 22, pp.125.
    Type
    Article
    URI
    http://hdl.handle.net/20.500.12904/15671
    Note
    © The Author(s) 2022. Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
    Collections
    Depression

    entitlement

     
    DSpace software (copyright © 2002 - 2023)  DuraSpace
    Quick Guide | Contact Us
    Open Repository is a service operated by 
    Atmire NV
     

    Export search results

    The export option will allow you to export the current search results of the entered query to a file. Different formats are available for download. To export the items, click on the button corresponding with the preferred download format.

    By default, clicking on the export buttons will result in a download of the allowed maximum amount of items.

    To select a subset of the search results, click "Selective Export" button and make a selection of the items you want to export. The amount of items that can be exported at once is similarly restricted as the full export.

    After making a selection, click one of the export format buttons. The amount of items that will be exported is indicated in the bubble next to export format.