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Know-me: a toolkit for designing personalised dementia care

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journal contribution
posted on 02.08.2021, 12:49 by Gubing Wang, Armagan Albayrak, Eef HogervorstEef Hogervorst, Tischa JM van der Cammen
Personalisation is a crucial element in providing person-centred care for people with dementia. This paper presents the development and evaluation of a design toolkit to facilitate the work of designers and healthcare professionals in personalising dementia care. This toolkit, named “Know-me”, was grounded in the findings of Ergonomics in Aging, Co-design, and Data-enabled Design, derived from literature review and from the field during a four-year doctorate project. “Know-me” was designed to be easily accessible, flexible, and engaging, providing concrete and hands-on guidance for designers and healthcare professionals to use in designing for personalised dementia care. A proof-of-concept evaluation of the “Know-me” toolkit was conducted via student projects on design for dementia care. During this process, we found that “Know-me” could be adapted flexibly so that the care team could use some of the tools by themselves. A feature-by-feature comparison of the “Know-me” toolkit with similar state-of-the-art toolkits was conducted, and based upon this, the strengths and weaknesses of the “Know-me” toolkit are discussed. This preliminary study indicates that the “Know-me” toolkit is a helpful addition to the current pool of toolkits on designing for dementia care.

Funding

Chinese Scholarship Council (grant number: 201708060174)

History

School

  • Sport, Exercise and Health Sciences

Published in

International Journal of Environmental Research and Public Health

Volume

18

Issue

11

Publisher

MDPI AG

Version

VoR (Version of Record)

Rights holder

© The Authors

Publisher statement

This is an Open Access Article. It is published by MDPI under the Creative Commons Attribution 4.0 International Licence (CC BY 4.0). Full details of this licence are available at: https://creativecommons.org/licenses/by/4.0/

Acceptance date

23/05/2021

Publication date

2021-05-25

Copyright date

2021

ISSN

1661-7827

eISSN

1660-4601

Language

en

Depositor

Prof Eef Hogervorst. Deposit date: 27 July 2021

Article number

5662