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eHealth tools to assess neurological function: a systematic review protocol for a mapping exercise
INTRODUCTION: Population-based epidemiological studies investigating risk/protective factors are outlining prevention strategies for neurological conditions that often do not have effective treatment. However, ascertaining neurological outcomes can be a time consuming and expensive process, often re...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BMJ Publishing Group
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9516209/ https://www.ncbi.nlm.nih.gov/pubmed/36167388 http://dx.doi.org/10.1136/bmjopen-2022-062691 |
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author | Ferreira, Vasco Ribeiro Seddighi, Hamed Beumeler, Lise Metting, Esther Gallo, Valentina |
author_facet | Ferreira, Vasco Ribeiro Seddighi, Hamed Beumeler, Lise Metting, Esther Gallo, Valentina |
author_sort | Ferreira, Vasco Ribeiro |
collection | PubMed |
description | INTRODUCTION: Population-based epidemiological studies investigating risk/protective factors are outlining prevention strategies for neurological conditions that often do not have effective treatment. However, ascertaining neurological outcomes can be a time consuming and expensive process, often requiring specialised personnel and/or equipment. Thus, collecting neurological data on a large scale has been an ongoing challenge for clinicians and researchers alike. The development of new technology and the emergence of several opportunities to adapt it to the health research and practice (eHealth) can be a promising solution to this problem. Several neurological eHealth tools have been developed, with many others being currently planned. METHODS AND ANALYSIS: We propose a systematic review mapping the available eHealth tools for assessing the different aspects of neurological function. The search aims at identifying studies published in peer-reviewed journals, which focused on the development or implementation of eHealth for assessing neurological signs or symptoms. Four engine databases are being considered (PubMed, EBSCOhost, Web of Science and Scopus), and data extraction will follow a process aimed at classifying them by their characteristics and purposes. ETHICS AND DISSEMINATION: This mapping exercise will be made available to researchers in order to aid them in successfully ascertaining neurological outcomes in large population-based epidemiological studies. Given the nature of this study, no ethical clearance was needed to conduct the review. |
format | Online Article Text |
id | pubmed-9516209 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | BMJ Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-95162092022-09-29 eHealth tools to assess neurological function: a systematic review protocol for a mapping exercise Ferreira, Vasco Ribeiro Seddighi, Hamed Beumeler, Lise Metting, Esther Gallo, Valentina BMJ Open Epidemiology INTRODUCTION: Population-based epidemiological studies investigating risk/protective factors are outlining prevention strategies for neurological conditions that often do not have effective treatment. However, ascertaining neurological outcomes can be a time consuming and expensive process, often requiring specialised personnel and/or equipment. Thus, collecting neurological data on a large scale has been an ongoing challenge for clinicians and researchers alike. The development of new technology and the emergence of several opportunities to adapt it to the health research and practice (eHealth) can be a promising solution to this problem. Several neurological eHealth tools have been developed, with many others being currently planned. METHODS AND ANALYSIS: We propose a systematic review mapping the available eHealth tools for assessing the different aspects of neurological function. The search aims at identifying studies published in peer-reviewed journals, which focused on the development or implementation of eHealth for assessing neurological signs or symptoms. Four engine databases are being considered (PubMed, EBSCOhost, Web of Science and Scopus), and data extraction will follow a process aimed at classifying them by their characteristics and purposes. ETHICS AND DISSEMINATION: This mapping exercise will be made available to researchers in order to aid them in successfully ascertaining neurological outcomes in large population-based epidemiological studies. Given the nature of this study, no ethical clearance was needed to conduct the review. BMJ Publishing Group 2022-09-26 /pmc/articles/PMC9516209/ /pubmed/36167388 http://dx.doi.org/10.1136/bmjopen-2022-062691 Text en © Author(s) (or their employer(s)) 2022. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ. https://creativecommons.org/licenses/by-nc/4.0/This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, appropriate credit is given, any changes made indicated, and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/ (https://creativecommons.org/licenses/by-nc/4.0/) . |
spellingShingle | Epidemiology Ferreira, Vasco Ribeiro Seddighi, Hamed Beumeler, Lise Metting, Esther Gallo, Valentina eHealth tools to assess neurological function: a systematic review protocol for a mapping exercise |
title | eHealth tools to assess neurological function: a systematic review protocol for a mapping exercise |
title_full | eHealth tools to assess neurological function: a systematic review protocol for a mapping exercise |
title_fullStr | eHealth tools to assess neurological function: a systematic review protocol for a mapping exercise |
title_full_unstemmed | eHealth tools to assess neurological function: a systematic review protocol for a mapping exercise |
title_short | eHealth tools to assess neurological function: a systematic review protocol for a mapping exercise |
title_sort | ehealth tools to assess neurological function: a systematic review protocol for a mapping exercise |
topic | Epidemiology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9516209/ https://www.ncbi.nlm.nih.gov/pubmed/36167388 http://dx.doi.org/10.1136/bmjopen-2022-062691 |
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