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eHealth tools to assess neurological function: a systematic review protocol for a mapping exercise.

Vasco Ribeiro Ferreira1, Hamed Seddighi2,3, Lise Beumeler2

  • 1Sustainable Health Department, Campus Fryslân, University of Groningen, Leeuwarden, The Netherlands v.ribeiro.ferreira@rug.nl.

BMJ Open
|September 27, 2022
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Summary

This systematic review maps electronic health (eHealth) tools for neurological assessments. It aims to help researchers efficiently collect large-scale neurological data for epidemiological studies.

Keywords:
EPIDEMIOLOGYInformation technologyNEUROLOGY

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Area of Science:

  • Neurology
  • Epidemiology
  • Digital Health

Background:

  • Population-based studies are crucial for identifying neurological condition risk factors.
  • Assessing neurological outcomes is often time-consuming and resource-intensive.
  • Electronic health (eHealth) tools offer a promising solution for large-scale neurological data collection.

Purpose of the Study:

  • To systematically review and map existing eHealth tools for assessing neurological function.
  • To identify and classify eHealth tools based on their characteristics and purposes.

Main Methods:

  • Systematic review of peer-reviewed journal articles.
  • Database searches in PubMed, EBSCOhost, Web of Science, and Scopus.
  • Data extraction and classification of identified eHealth tools.

Main Results:

  • A comprehensive map of available eHealth tools for neurological assessment will be compiled.
  • The review will categorize tools by their specific applications in evaluating neurological signs and symptoms.

Conclusions:

  • This mapping exercise will assist researchers in efficiently collecting neurological data for large epidemiological studies.
  • The findings will support the broader adoption and development of eHealth solutions in neurological research.