Professor Kay Cooper k.cooper@rgu.ac.uk
Associate Dean (Research)
Independent evaluation of ARMED service: final report.
Cooper, Kay; Fulford, Heather; Swinton, Paul; Cooper, Rosie; Kyaw Myint, Phyo; Burnett, Valery; Harrison, Isabelle; Moss, Rachel; Parkinson, Eva
Authors
Professor Heather Fulford h.fulford@rgu.ac.uk
Professor
Dr Paul Swinton p.swinton@rgu.ac.uk
Associate Professor
Rosie Cooper
Phyo Kyaw Myint
Valery Burnett
Isabelle Harrison
Rachel Moss
Miss Eva Parkinson e.parkinson1@rgu.ac.uk
Research Assistant
Abstract
ARMED (HAS Technology, Lichfield, UK) is a falls prevention technology that combines a wrist-worn activity tracker with predictive analytics and machine learning to enable early intervention. Data from the tracker is augmented by weekly grip strength and body composition measurements. ARMED-in-a-box is a streamlined version of ARMED that does not use the grip strength or body composition measures, rolled-out in response to the COVID-19 pandemic. This independent evaluation was commissioned by the Digital Health and Care Innovation Centre and conducted by an interdisciplinary team from Robert Gordon University, the University of Aberdeen, and NHS Grampian. The purpose of the evaluation was to inform the potential for scalability of ARMED within the Scottish digital health and care context, and specifically to analyse and appraise the effectiveness of the current ARMED service and business models, aligning with the national technology enabled care (TEC) programme's existing test of change (TOC) activity.
Citation
COOPER, K., FULFORD, H., SWINTON, P., COOPER, R., KYAW MYINT, P., BURNETT, V., HARRISON, I., MOSS, R. and PARKINSON, E. 2021. Independent evaluation of ARMED service: final report. Glasgow: Digital Health and Care Innovation Centre. Hosted on OpenAIR [online]. Available from: https://rgu-repository.worktribe.com/output/1481937
Report Type | Project Report |
---|---|
Online Publication Date | Aug 31, 2021 |
Publication Date | Aug 31, 2021 |
Deposit Date | Oct 6, 2021 |
Publicly Available Date | Oct 6, 2021 |
Publisher | Digital Health and Care Innovation Centre (DHI) |
Keywords | Fall prevention; Medical technology; Self-monitoring; Patient self-monitoring; Scotland |
Public URL | https://rgu-repository.worktribe.com/output/1481937 |
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