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

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...

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Autores principales: Andrews, J. A., Craven, M. P., Lang, A. R., Guo, B., Morriss, R., Hollis, C.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9077644/
https://www.ncbi.nlm.nih.gov/pubmed/35525933
http://dx.doi.org/10.1186/s12911-022-01856-z
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author Andrews, J. A.
Craven, M. P.
Lang, A. R.
Guo, B.
Morriss, R.
Hollis, C.
author_facet Andrews, J. A.
Craven, M. P.
Lang, A. R.
Guo, B.
Morriss, R.
Hollis, C.
author_sort Andrews, J. A.
collection PubMed
description 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. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12911-022-01856-z.
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spelling pubmed-90776442022-05-08 Making remote measurement technology work in multiple sclerosis, epilepsy and depression: survey of healthcare professionals Andrews, J. A. Craven, M. P. Lang, A. R. Guo, B. Morriss, R. Hollis, C. BMC Med Inform Decis Mak Research 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. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12911-022-01856-z. BioMed Central 2022-05-07 /pmc/articles/PMC9077644/ /pubmed/35525933 http://dx.doi.org/10.1186/s12911-022-01856-z Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis 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/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://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.
spellingShingle Research
Andrews, J. A.
Craven, M. P.
Lang, A. R.
Guo, B.
Morriss, R.
Hollis, C.
Making remote measurement technology work in multiple sclerosis, epilepsy and depression: survey of healthcare professionals
title Making remote measurement technology work in multiple sclerosis, epilepsy and depression: survey of healthcare professionals
title_full Making remote measurement technology work in multiple sclerosis, epilepsy and depression: survey of healthcare professionals
title_fullStr Making remote measurement technology work in multiple sclerosis, epilepsy and depression: survey of healthcare professionals
title_full_unstemmed Making remote measurement technology work in multiple sclerosis, epilepsy and depression: survey of healthcare professionals
title_short Making remote measurement technology work in multiple sclerosis, epilepsy and depression: survey of healthcare professionals
title_sort making remote measurement technology work in multiple sclerosis, epilepsy and depression: survey of healthcare professionals
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9077644/
https://www.ncbi.nlm.nih.gov/pubmed/35525933
http://dx.doi.org/10.1186/s12911-022-01856-z
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