Cargando…

A validation study of a smartphone application for functional mobility assessment of the elderly

BACKGROUND: To minimize the reaction time and position judgment error using stopwatch-timed measures, we developed a smartphone application to measure performance in the five-time sit-to-stand (FTSTS) and timed up-and-go (TUG) tests. OBJECTIVE: This study aimed to validate this smartphone applicatio...

Descripción completa

Detalles Bibliográficos
Autores principales: Chan, Matthew H.M., Keung, Donald T.F., Lui, Steve Y.T., Cheung, Roy T.H.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier (Singapore) Pte Ltd 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6385142/
https://www.ncbi.nlm.nih.gov/pubmed/30931027
http://dx.doi.org/10.1016/j.hkpj.2015.11.001
Descripción
Sumario:BACKGROUND: To minimize the reaction time and position judgment error using stopwatch-timed measures, we developed a smartphone application to measure performance in the five-time sit-to-stand (FTSTS) and timed up-and-go (TUG) tests. OBJECTIVE: This study aimed to validate this smartphone application by comparing its measurement with a laboratory-based reference condition. METHODS: Thirty-two healthy elderly people were asked to perform the FTSTS and TUG tests in a randomized sequence. During the tests, their performance was concurrently measured by the smartphone application and a force sensor installed in the backrest of a chair. The intraclass correlation coefficient [ICC((2,1))] and Bland–Altman analysis were used to calculate the measurement consistency and agreement, respectively, between these two methods. RESULTS: The smartphone application demonstrated excellent measurement consistency with the lab-based reference condition for the FTSTS test [ICC((2,1)) = 0.988] and TUG test [ICC((2,1)) = 0.946]. We observed a positive bias of 0.27 seconds (95% limits of agreement, −1.22 to 1.76 seconds) for the FTSTS test and 0.48 seconds (95% limits of agreement, −1.66 to 2.63 seconds) for the TUG test. CONCLUSION: We cross-validated the newly developed smartphone application with the laboratory-based reference condition during the examination of FTSTS and TUG test performance in healthy elderly.