Patients' self-assessment of essential tremor severity by a validated scale: A useful tool in telemedicine?

Essential tremor Fahn-Tolosa-Marin tremor rating scale Self-assessment tremor evaluation Telemedicine

Journal

Parkinsonism & related disorders
ISSN: 1873-5126
Titre abrégé: Parkinsonism Relat Disord
Pays: England
ID NLM: 9513583

Informations de publication

Date de publication:
03 2022
Historique:
received: 08 11 2021
revised: 16 01 2022
accepted: 20 01 2022
pubmed: 7 2 2022
medline: 18 5 2022
entrez: 6 2 2022
Statut: ppublish

Résumé

There are some validated rating scales to assess severity of Essential tremor (ET), the most common cause of action tremor. Clinical evaluation through telematic consultations has been expanding in the last decade. Patients' self-assessment of tremor severity at home could constitute a useful tool in telemedicine. This paper aims to assess intrarater and interrater reliability of ET severity using Fahn-Tolosa Marin Tremor Rating Scale (FTMTRS) for patients' and neurologists' ratings. Patients were instructed on how to perform and rate the FTMTRS tasks. Supervised by neurologists, each patient performed one FTMTRS self-assessment at the hospital, which was rated in a blinded way by two neurologists, and six more self-assessments at home afterwards. Postural, intention and specific-tasks tremor were rated. A cumulative linked mixed model was used to assess intrarater and interrater reliability. A total of 161 self-assessments from 19 patients were analyzed. Intrarater reliability of patients' self-ratings at home showed ICCs between 0.843 and 0.962. Interrater ICCs of neurologists' ratings were also excellent for all tremor types (0.903-0.987). Concordance between neurologists' and patients' assessments showed ICCs ranging from 0.407 to 0.824, with the higher agreement for writing/drawing-related tremor (0.824; CI 95% 0.634-0.989). The rating of ET severity from FTMTRS self-assessments performed by well-trained patients at home could be a suitable clinical measure to assess tremor in non-face-to-face medical consultations. The assessment of tremor during specific tasks could be the most efficient measure for the patient self-assessment at home. These results could be useful in telemedicine.

Identifiants

pubmed: 35124409
pii: S1353-8020(22)00029-3
doi: 10.1016/j.parkreldis.2022.01.021
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

22-28

Informations de copyright

Copyright © 2022 Elsevier Ltd. All rights reserved.

Auteurs

Guillermo Martín-Ávila (G)

Department of Neurology, Hospital Universitario de Getafe, European University of Madrid, Spain.

Alba Vieira-Campos (A)

Department of Neurology, Hospital Universitario de La Princesa, Madrid, Spain.

Sergio Labrador-Marcos (S)

Department of Neurology, Hospital Universitario de Fuenlabrada, Madrid, Spain.

Xiaochen Zheng (X)

ICT for Sustainable Manufacturing (ICT4SM), École polytechnique fédérale de Lausanne, Lausanne, Switzerland.

Alejandro Méndez-Burgos (A)

Department of Neurology, Hospital Universitario de Getafe, European University of Madrid, Spain.

Israel Thuissard (I)

Faculty of Biomedical and Health Sciences, Universidad Europea de Madrid, Spain.

Cristina Andreu-Vázquez (C)

Faculty of Biomedical and Health Sciences, Universidad Europea de Madrid, Spain.

Joaquin Ordieres-Meré (J)

Department of Industrial Engineering, Universidad Politécnica de Madrid, Spain.

Yolanda Aladro (Y)

Department of Neurology, Hospital Universitario de Getafe, European University of Madrid, Spain. Electronic address: yolanda.aladro@salud.madrid.org.

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Classifications MeSH