Evidence map›Paper›PMID 34749536›Full record

ArticleDementia (London, England)2022

Working towards inclusion: Creating technology for and with people living with mild cognitive impairment or dementia who are employed.

Karan Shastri, Jennifer Boger, Sheida Marashi, Arlene Astell, Erica Dove, Ann-Charlotte Nedlund, Anna Mäki-Petäjä-Leinonen, Louise Nygård

Abstract read
In one paragraph

Article in Dementia (London, England), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Review
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

8 authors.

Karan Shastri8430University of Waterloo, Canada.ORCID https://orcid.org/0000-0002-1227-0601
Jennifer Boger8430University of Waterloo, Canada; Research Institute for Aging, Canada.
Sheida Marashi8430University of Waterloo, Canada.
Arlene Astell7938University of Toronto, Canada.
Erica Dove7938University of Toronto, Canada.
Ann-Charlotte Nedlund4566Linkoping University, Sweden.
Anna Mäki-Petäjä-LeinonenUniversity of Eastern Finland, Finland.
Louise Nygård27106Karolinska Institute, Sweden.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Earlier diagnosis and longer working careers is resulting in more individuals being identified as having Mild Cognitive Impairment or Early Onset Dementia (MCI/EOD) when they are still in the workforce. While there is growing interest in the dementia research community and beyond to develop technologies to support people with dementia, the use of technology for and by people with MCI/EOD in the workplace has had very little attention. This paper presents a two-part study involving interviews and participatory sessions to begin to understand the workplace experiences and the role of technology among people living with MCI/EOD. We present our findings from working with seven people with MCI/EOD and two care partners to explore technology design. Our results indicate several similarities as well as a few differences between MCI/EOD and later-onset dementia with respect to challenges using technology and design considerations for supporting engagement and use of technology. Lessons learned through the process of working with people with MCI/EOD through participatory methods is presented along with recommendations to foster an inclusive, respectful, and empowering experience for participants with MCI/EOD.

Indexed as

Cognitive DysfunctionDementiaHumansTechnologyWorkplaceearly-onset dementiamild cognitive impairmenttechnologyuser-centred designworkplace

Identifiers

PMID34749536
PMCPMC8811323

What OpenQuestion holds

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LicenceCC BY-NC
Read underepoch 390

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.