Staffordshire University logo
STORE - Staffordshire Online Repository

Fall-risk screening system framework for physiotherapy care of elderly

RUEANGSIRARAK, W., ATKINS, Anthony, SHARP, Bernadette, CHAKPITAK, N and MEKSAMOOT, K. (2012) Fall-risk screening system framework for physiotherapy care of elderly. Expert Systems with Applications, 39 (10). pp. 8859-8864. ISSN 09574174

Full text not available from this repository.

Abstract or description

In 2008 the global older population (aged 65 and over) was estimated to be about 7% of the world’s population; it is estimated to reach 2 billion by 2050 accounting for 22% of the world total population. This demographic trend sets new challenges to health services and policies, and imposes a significant financial and social burden on economies as a whole. The decline in musculoskeletal system in the aging population is the biggest cause of injury death in older people who require effective physiotherapy treatment. However the current demand for physiotherapists outstrips current supply. To address this problem this paper described an innovative approach which consists of a screening risk assessment of the elderly which can be combined with a case based reasoning system to support physiotherapist in managing the care of the elderly following a fall. Although the study is based on a small cohort of the Thai population it is believed that this approach can address the shortage of physiotherapists and bring a significant improvement in the health care of older people.

Item Type: Article
Faculty: Previous Faculty of Computing, Engineering and Sciences > Computing
Depositing User: Prof Bernadette SHARP
Date Deposited: 30 Apr 2013 12:11
Last Modified: 24 Feb 2023 13:37
URI: https://eprints.staffs.ac.uk/id/eprint/812

Actions (login required)

View Item View Item

DisabledGo Staffordshire University is a recognised   Investor in People. Sustain Staffs
Legal | Freedom of Information | Site Map | Job Vacancies
Staffordshire University, College Road, Stoke-on-Trent, Staffordshire ST4 2DE t: +44 (0)1782 294000