Gait and Balance Assessments using Smartphone Applications in Parkinson's Disease: A Systematic Review.
Gait dysfunctions and balance impairments are key fall risk factors and associated with reduced quality of life in individuals with Parkinson's Disease (PD). Smartphone-based assessments show potential to increase remote monitoring of the disease. This review aimed to summarize the validity, reliabi...
| Publicado en: | Journal of Medical Systems Vol. 45; no. 9; pp. 1 - 21 |
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| Autores principales: | , , , , , , |
| Formato: | research systematic review tables/charts Journal Article |
| Publicado: |
Springer Nature
Sep2021
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=152296347&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 152296347 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 01485598 4N0 jtl: Journal of Medical Systems issn: 01485598 maglogo: N pubinfo: dt: Sep2021 vid: 45 iid: 9 pid: 237 pub: Springer Nature place: New York, New York artinfo: ui: 152296347 152296347 152296347 10.1007/s10916-021-01760-5 152296347 ppf: 1 ppct: 20 formats: fmt: @attributes: type: P tig: atl: Gait and Balance Assessments using Smartphone Applications in Parkinson's Disease: A Systematic Review. aug: au: Abou, Libak Peters, Joseph Wong, Ellyce Akers, Rebecca Dossou, Mauricette Sènan Sosnoff, Jacob J. Rice, Laura A. affil: Department of Kinesiology and Community Health, College of Applied Health Sciences, University of Illinois at Urbana-Champaign, Urbana, IL, USA sug: subj: Reliability and Validity Evaluation Smartphone Mobile Applications Gait Analysis Balance, Postural Evaluation Accidental Falls Evaluation Parkinson Disease Physiopathology Human PubMed CINAHL Database SportDiscus Bias (Research) Telehealth Clinical Assessment Tools Male Female Middle Age Aged Sensitivity and Specificity Middle Aged: 45-64 years Aged: 65+ years Male Female ab: Gait dysfunctions and balance impairments are key fall risk factors and associated with reduced quality of life in individuals with Parkinson's Disease (PD). Smartphone-based assessments show potential to increase remote monitoring of the disease. This review aimed to summarize the validity, reliability, and discriminative abilities of smartphone applications to assess gait, balance, and falls in PD. Two independent reviewers screened articles systematically identified through PubMed, Web of Science, Scopus, CINAHL, and SportDiscuss. Studies that used smartphone-based gait, balance, or fall applications in PD were retrieved. The validity, reliability, and discriminative abilities of the smartphone applications were summarized and qualitatively discussed. Methodological quality appraisal of the studies was performed using the quality assessment tool for observational cohort and cross-sectional studies. Thirty-one articles were included in this review. The studies present mostly with low risk of bias. In total, 52% of the studies reported validity, 22% reported reliability, and 55% reported discriminative abilities of smartphone applications to evaluate gait, balance, and falls in PD. Those studies reported strong validity, good to excellent reliability, and good discriminative properties of smartphone applications. Only 19% of the studies formally evaluated the usability of their smartphone applications. The current evidence supports the use of smartphone to assess gait and balance, and detect freezing of gait in PD. More studies are needed to explore the use of smartphone to predict falls in this population. Further studies are also warranted to evaluate the usability of smartphone applications to improve remote monitoring in this population. Registration: PROSPERO CRD 42020198510 pubtype: Academic Journal doctype: research systematic review tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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