The NeuroEpiTool—A digital tool to ascertain neurological outcomes in population-based studies

Abstract

Collecting data on signs and symptoms of neurological disorders requires extensive resources, limiting feasibility. This study reports on the NeuroEpiTool, a digital tool designed to facilitate data collection in neuroepidemiological studies. Eighty participants (47.5% female, n = 38) with and without neurological disorders were evaluated using the NeuroEpiTool. Inter-rater reliability was assessed between two health professionals using the tool. Additionally, convergent validity and usability were explored. Moderate to strong inter-rater agreement was observed across most neurological tests. The 30-s chair stand test, though not typically part of a standard neurological exam, showed one of the highest agreement levels (κ = 0.82, p < 0.001). Feedback from physicians suggested that the NeuroEpiTool closely resembled a standard neurological examination. Usability had an average of 81.88 ± 10.87. Inter-rater reliability scores support the potential for data collection by non-experts. Future studies should pursue large-scale validation and real-world implementation to support electronic health (eHealth) solutions in neuroepidemiology.

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Cite

BibTeX RIS

BibTeX

@article{ferreira2026neuroepitoola,
  title = {{The NeuroEpiTool—A digital tool to ascertain neurological outcomes in population-based studies}},
  author = {Vasco Ribeiro Ferreira and Stefan Malinovski and Zara Belcheva and Dogukan Tuna and Wieke Bouwes and Paolo Ragonese and Richard Houeze and Francesca Madonia and Irene Assessou and Fadi Mohsen and Pierre-Marie Preux and Dieu Donné Gnonlonfoun and Constant Kodjo Adjien and Tim van Zutphen and Esther Metting and Valentina Gallo},
  journal = {iScience},
  year = {2026},
  month = oct,
  doi = {10.1016/j.isci.2026.117977},
  url = {https://www.cell.com/iscience/fulltext/S2589-0042(26)03360-2},
  note = {CC BY 4.0},
}

RIS

TY  - JOUR
TI  - The NeuroEpiTool—A digital tool to ascertain neurological outcomes in population-based studies
AU  - Vasco Ribeiro Ferreira
AU  - Stefan Malinovski
AU  - Zara Belcheva
AU  - Dogukan Tuna
AU  - Wieke Bouwes
AU  - Paolo Ragonese
AU  - Richard Houeze
AU  - Francesca Madonia
AU  - Irene Assessou
AU  - Fadi Mohsen
AU  - Pierre-Marie Preux
AU  - Dieu Donné Gnonlonfoun
AU  - Constant Kodjo Adjien
AU  - Tim van Zutphen
AU  - Esther Metting
AU  - Valentina Gallo
PY  - 2026
DA  - 2026/10/24
JO  - iScience
DO  - 10.1016/j.isci.2026.117977
UR  - https://www.cell.com/iscience/fulltext/S2589-0042(26)03360-2
AB  - Collecting data on signs and symptoms of neurological disorders requires extensive resources, limiting feasibility. This study reports on the NeuroEpiTool, a digital tool designed to facilitate data collection in neuroepidemiological studies. Eighty participants (47.5% female, n = 38) with and without neurological disorders were evaluated using the NeuroEpiTool. Inter-rater reliability was assessed between two health professionals using the tool. Additionally, convergent validity and usability were explored. Moderate to strong inter-rater agreement was observed across most neurological tests. The 30-s chair stand test, though not typically part of a standard neurological exam, showed one of the highest agreement levels (κ = 0.82, p < 0.001). Feedback from physicians suggested that the NeuroEpiTool closely resembled a standard neurological examination. Usability had an average of 81.88 ± 10.87. Inter-rater reliability scores support the potential for data collection by non-experts. Future studies should pursue large-scale validation and real-world implementation to support electronic health (eHealth) solutions in neuroepidemiology.
SN  - 2589-0042
ER  -

Abstract

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