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Psychometric properties of wearable technologies to assess post-stroke gait parameters: A systematic review.
Silva, Raiff Simplicio da; Silva, Stephano Tomaz da; Cardoso, Daiane Carla Rodrigues; Quirino, Maria Amanda Ferreira; Silva, Maria Heloiza Araújo; Gomes, Larissa Araujo; Fernandes, Jefferson Doolan; Oliveira, Raul Alexandre Nunes da Silva; Fernandes, Aline Braga Galvão Silveira; Ribeiro, Tatiana Souza.
Afiliação
  • Silva RSD; Postgraduate Program in Physical Therapy, Department of Physical Therapy, Federal University of Rio Grande do Norte, 3000 Av. Senador Salgado Filho, Post office box: 1524, Natal, RN 59072-970, Brazil. Electronic address: raiffsimplicio@gmail.com.
  • Silva STD; Postgraduate Program in Physical Therapy, Department of Physical Therapy, Federal University of Rio Grande do Norte, 3000 Av. Senador Salgado Filho, Post office box: 1524, Natal, RN 59072-970, Brazil. Electronic address: stephanotz@gmail.com.
  • Cardoso DCR; Postgraduate Program in Physical Therapy, Department of Physical Therapy, Federal University of Rio Grande do Norte, 3000 Av. Senador Salgado Filho, Post office box: 1524, Natal, RN 59072-970, Brazil. Electronic address: dadacrc@gmail.com.
  • Quirino MAF; Graduation Program in Physical Therapy, Department of Physical Therapy, Federal University of Rio Grande do Norte, 3000 Av. Senador Salgado Filho, Post office box: 1524, Natal, RN 59072-970, Brazil. Electronic address: amanda.quirino.117@ufrn.edu.br.
  • Silva MHA; Postgraduate Program in Physical Therapy, Department of Physical Therapy, Federal University of Rio Grande do Norte, 3000 Av. Senador Salgado Filho, Post office box: 1524, Natal, RN 59072-970, Brazil. Electronic address: mariaheloiza.fisio@gmail.com.
  • Gomes LA; Graduation Program in Physical Therapy, Department of Physical Therapy, Federal University of Rio Grande do Norte, 3000 Av. Senador Salgado Filho, Post office box: 1524, Natal, RN 59072-970, Brazil. Electronic address: Larissa312a@gmail.com.
  • Fernandes JD; Federal Institute of Science and Technology of Rio Grande do Norte, Natal, Rio Grande do Norte 59015-000, Brazil. Electronic address: jefferson.fernandes@ifrn.edu.br.
  • Oliveira RANDS; Neuromuscular Research Lab, Faculty of Human Kinetic, University of Lisbon, Estrada da Costa, Cruz Quebrada, Dafundo 1499-002, Portugal. Electronic address: roliveira@fmh.ulisboa.pt.
  • Fernandes ABGS; Postgraduate Program in Physical Therapy, Faculty of Health Sciences of Trairi, Federal University of Rio Grande do Norte, Rua Vila Trairi, Santa Cruz, RN 59200-000, Brazil. Electronic address: linebraga.fisio@gmail.com.
  • Ribeiro TS; Postgraduate Program in Physical Therapy, Department of Physical Therapy, Federal University of Rio Grande do Norte, 3000 Av. Senador Salgado Filho, Post office box: 1524, Natal, RN 59072-970, Brazil. Electronic address: tatiana.ribeiro@ufrn.br.
Gait Posture ; 113: 543-552, 2024 Sep.
Article em En | MEDLINE | ID: mdl-39178597
ABSTRACT

BACKGROUND:

Wearable technologies using inertial sensors are an alternative for gait assessment. However, their psychometric properties in evaluating post-stroke patients are still being determined. This systematic review aimed to evaluate the psychometric properties of wearable technologies used to assess post-stroke gait and analyze their reliability and measurement error. The review also investigated which wearable technologies have been used to assess angular changes in post-stroke gait.

METHODS:

The present review included studies in English with no publication date restrictions that evaluated the psychometric properties (e.g., validity, reliability, responsiveness, and measurement error) of wearable technologies used to assess post-stroke gait. Searches were conducted from February to March 2023 in the following databases Cochrane Central Registry of Controlled Trials (CENTRAL), Medline/PubMed, EMBASE Ovid, CINAHL EBSCO, PsycINFO Ovid, IEEE Xplore Digital Library (IEEE), and Physiotherapy Evidence Database (PEDro); the gray literature was also verified. The Consensus-based Standards for the Selection of Health Measurement Instruments (COSMIN) risk-of-bias tool was used to assess the quality of the studies that analyzed reliability and measurement error.

RESULTS:

Forty-two studies investigating validity (37 studies), reliability (16 studies), and measurement error (6 studies) of wearable technologies were included. Devices presented good reliability in measuring gait speed and step count; however, the quality of the evidence supporting this was low. The evidence of measurement error in step counts was indeterminate. Moreover, only two studies obtained angular results using wearable technology.

SIGNIFICANCE:

Wearable technologies have demonstrated reliability in analyzing gait parameters (gait speed and step count) among post-stroke patients. However, higher-quality studies should be conducted to improve the quality of evidence and to address the measurement error assessment. Also, few studies used wearable technology to analyze angular changes during post-stroke gait.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Psicometria / Transtornos Neurológicos da Marcha / Dispositivos Eletrônicos Vestíveis / Análise da Marcha Limite: Humans Idioma: En Revista: Gait Posture Assunto da revista: ORTOPEDIA Ano de publicação: 2024 Tipo de documento: Article País de publicação: Reino Unido
Texto completo
Adicionar na Minha BVS
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Psicometria / Transtornos Neurológicos da Marcha / Dispositivos Eletrônicos Vestíveis / Análise da Marcha Limite: Humans Idioma: En Revista: Gait Posture Assunto da revista: ORTOPEDIA Ano de publicação: 2024 Tipo de documento: Article País de publicação: Reino Unido