Evidence map›Paper›PMID 40808708›Full record

ArticleDigital health

A qualitative study exploring physiotherapists' insights on the design and development of technology-enhanced gait and balance assessment systems for older adults.

Lisha Yu, Yang Zhao, Qian Mao, Kwok-Leung Tsui, Marco Y C Pang, Hainan Guo, Hailiang Wang

Abstract read
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Article in Digital health. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Lisha YuSchool of Data Science, Lingnan University, Tuen Mun, Hong Kong.ORCID https://orcid.org/0000-0001-8025-6396
Yang ZhaoSchool of Public Health (Shenzhen), Sun Yat-sen University, Shenzhen, China.ORCID https://orcid.org/0000-0003-1571-5394
Qian MaoSchool of Design, Hong Kong Polytechnic University, Hung Hom, Hong Kong.ORCID https://orcid.org/0000-0001-8685-344X
Kwok-Leung TsuiGrado Department of Industrial and Systems Engineering, Virginia Polytechnic Institute and State University, Blacksburg, Virginia, USA.ORCID https://orcid.org/0000-0002-0558-2279
Marco Y C PangDepartment of Rehabilitation Sciences, Hong Kong Polytechnic University, Hung Hom, Hong Kong.ORCID https://orcid.org/0000-0003-1652-8945
Hainan GuoCollege of Management, Shenzhen University, Shenzhen, China.ORCID https://orcid.org/0000-0002-6427-7389
Hailiang WangSchool of Design, Hong Kong Polytechnic University, Hung Hom, Hong Kong.ORCID https://orcid.org/0000-0002-6668-7947

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Despite the eruption of digital care systems for older adults, their benefits and challenges in clinical practice are uncertain. Objective: We aimed to explore physiotherapists' perspectives on technology-based gait and balance assessment systems for older adults and provide exploration insights to inform potential design requirements and candidate metrics for future systems. Methods: Qualitative research based on semi-structured interviews with 20 physiotherapists was conducted to examine physiotherapists' expertise in gait and balance evaluations (e.g., clinical processes, tests, and metrics), constraints and obstacles during clinical practices, and perspectives on the essential attributes and functionalities of optimal technology-infused systems. Results: Findings indicate the Berg Balance Scale and movements of the pelvis, hip, knee, and feet are crucial for assessment. In addressing the constraints of conventional clinical assessments, technology-driven platforms enable the ongoing surveillance of daily movements and the quantification of kinematic measures. Physiotherapists also emphasized the significance of technology-integrated systems, accentuating physiotherapy-led evaluations, safety protocols, and non-intrusiveness. Conclusion: This study serves as an effort to bridge the gap between technological progressions and real-world implementations through the lens of physiotherapists.

Indexed as

assessmentbalanceGaitphysiotherapistssensor technology

Identifiers

PMID40808708
PMCPMC12344322

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LicenceCC BY-NC-ND
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.