Evidence map›Paper›PMID 34070606›Full record

ArticleInternational journal of environmental research and public health2021

Know-Me: A Toolkit for Designing Personalised Dementia Care.

Gubing Wang, Armagan Albayrak, Eef Hogervorst, Tischa J M van der Cammen

Abstract read
In one paragraph

Article in International journal of environmental research and public health, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Gubing WangFaculty of Industrial Design Engineering, Delft University of Technology, 2628 CE Delft, The Netherlands.ORCID 0000-0003-4847-534X
Armagan AlbayrakFaculty of Industrial Design Engineering, Delft University of Technology, 2628 CE Delft, The Netherlands.
Eef HogervorstSchool of Sport, Exercise and Health Sciences, Loughborough University, Loughborough LE11 3TU, UK.ORCID 0000-0001-9729-4989
Tischa J M van der CammenFaculty of Industrial Design Engineering, Delft University of Technology, 2628 CE Delft, The Netherlands.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

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.

Indexed as

DementiaHealth PersonnelHumansPatient-Centered Careco-designdata-enabled designdementiadesign educationdesign toolergonomicshuman-centred designnursing homespersonalised dementia care

Identifiers

PMID34070606
PMCPMC8198535

What OpenQuestion holds

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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.