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PERSONAL TECHNOLOGY USE AMONGST STROKE PATIENTS: UNDERSTANDING THE BEST PLATFORMS FOR THE DESIGN OF HEALTH INTERVENTIONS IN TREATMENT AND REHABILITATION

Published online by Cambridge University Press:  27 July 2021

Nicholas William Ciccone ,
Frederik L Dornonville de la Cour ,
Julia Rosemary Thorpe ,
Birgitte Hysse Forchhammer  and
Anja Maier
Nicholas William Ciccone*
Affiliation:
DTU–Technical University of Denmark;
Frederik L Dornonville de la Cour
Affiliation:
DTU–Technical University of Denmark;
Julia Rosemary Thorpe
Affiliation:
Novo Nordisk A/S;
Birgitte Hysse Forchhammer
Affiliation:
The Danish Stroke Association
Anja Maier
Affiliation:
DTU–Technical University of Denmark;
*
Ciccone, Nicholas William, Danish Technical University (DTU), Management Engineering, Denmark, [email protected]

Abstract

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Europe's healthcare systems are under strain with an ageing population contributing to increased risk of strokes. Rapid technology adaption is needed to prevent, rehabilitate and manage symptoms. This paper identifies what technology platforms are most familiar and accessible to stroke patients to guide designers and engineers to develop future interventions. A survey was distributed to 100 inpatients at a stroke unit, identifying patients' accessibility and usage of personal technologies. Results showed that desktop/laptops and smartphones were most used as opposed to tablets and smartwatches. Different technologies were used for different tasks with a notable lack of devices used for personal health. The underlying reasons for this are discussed with recommendations made on what personal technology platforms should be implemented by designers and engineers in technology-based health interventions.

Keywords

TechnologyNew product developmentUser centred designStrokeIntervention
Type
Article
Information
Proceedings of the Design Society , Volume 1: ICED21 , August 2021 , pp. 2419 - 2428
Creative Commons
Creative Common License - CCCreative Common License - BYCreative Common License - NCCreative Common License - ND
This is an Open Access article, distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives licence (http://creativecommons.org/licenses/by-nc-nd/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is unaltered and is properly cited. The written permission of Cambridge University Press must be obtained for commercial re-use or in order to create a derivative work.
Copyright
The Author(s), 2021. Published by Cambridge University Press

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