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.
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.
| Original language | English |
|---|---|
| Publisher | Digital Health & Care Innovation Centre (DHI) |
| Commissioning body | Digital Health & Care Innovation Centre |
| Number of pages | 86 |
| Publication status | Published - 31 Aug 2021 |
Bibliographical note
AcknowledgementsWe are grateful to the many people who made this evaluation possible:
The staff who gave up their time to be interviewed, particularly as they did this
in the context of the ongoing COVID-19 pandemic with its associated pressures.
The ARMED users who afforded us honest insight into their experiences.
Brian Brown and Adrian Smales from HAS technology, who were approachable
and helpful at all times, and who provided detailed information, data, and access
to the ARMED system for the evaluation team to have first-hand experience of
its components.
Dr Stewart Massie, Reader, School of Computing, RGU, who provided expert
consultation during the Landscape Review.
The steering committee who provided guidance and support throughout. With
special thanks to Doreen Watson for her efforts in supporting access to TOC sites
and participants.