Evidence map›Paper›PMID 41645064›Full record

ArticleBMC geriatrics2026

Adopting assistive technologies for the support and care of people with mild dementia living at home-Understanding the decision-making process: a qualitative study.

Sarah Palmdorf, Tristan Gruschka, Gerrit Eliaß, Angela Nikelski, Eva Trompetter, Lea Stark, Christoph Karlheim, Christoph Dockweiler, Stefan H Kreisel

Abstract read
In one paragraph

Article in BMC geriatrics, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

9 authors.

Sarah PalmdorfInstitute for Educational and Health-Care Research in the Health Sector, Hochschule Bielefeld- University of Applied Sciences and Arts, Interaktion 1, Bielefeld, 33619, Germany.
Tristan GruschkaFaculty of Social Sciences, Hochschule Bielefeld- University of Applied Sciences and Arts, Interaktion 1, 33619, Bielefeld, Germany.
Gerrit EliaßDGB NRW Ostwestfalen-Lippe, Marktstr. 8, 33602, Bielefeld, Germany.
Angela NikelskiDepartment of Psychiatry and Psychotherapy, Division of Geriatric Psychiatry, Evangelisches Klinikum Bethel, Universitätsklinikum OWL der Universität Bielefeld, Campus Bielefeld-Bethel, Bethesdaweg 12, 33617, Bielefeld, Germany.
Eva TrompetterDepartment of Psychiatry and Psychotherapy, Division of Geriatric Psychiatry, Evangelisches Klinikum Bethel, Universitätsklinikum OWL der Universität Bielefeld, Campus Bielefeld-Bethel, Bethesdaweg 12, 33617, Bielefeld, Germany.
Lea StarkDepartment Digital Biomedicine and Health Sciences, School of Life Sciences, Digital Public Health, Universität Siegen, 57076, Siegen, Germany.
Christoph KarlheimDepartment of Innovation & Research, Evangelisches Klinikum Bethel, Universitätsklinikum OWL der Universität Bielefeld, Campus Bielefeld- Bethel, 33617, Bielefeld, Germany.
Christoph DockweilerDepartment Digital Biomedicine and Health Sciences, School of Life Sciences, Digital Public Health, Universität Siegen, 57076, Siegen, Germany.
Stefan H KreiselDepartment of Psychiatry and Psychotherapy, Division of Geriatric Psychiatry, Evangelisches Klinikum Bethel, Universitätsklinikum OWL der Universität Bielefeld, Campus Bielefeld-Bethel, Bethesdaweg 12, 33617, Bielefeld, Germany. stefan.kreisel@evkb.de.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAssistive technologies may play a crucial role in addressing needs of people with dementia. While technical feasibility often drives development, the decision-making process that might lead to their adoption (or rejection) is not fully understood. We aim to explore contextual factors influencing this process and "necessities" technology should fulfil from the user-perspective, so that the use of assistive technologies can be better targeted- potentially fostering a more supportive home environment.

methodsIn this qualitative study, interviews (8 people with dementia and 7 partners) and focus groups (7 focus groups included a total of 29 participants) with individuals with milder stages of dementia living at home and their support/care-network were carried out. Grounded Theory and Structuring Content Analysis were used to analyse the data.

resultsSix main thematic categories outline the decision-making process. The "assessment of (one's own) resources", while evaluating the "(potential) benefits of assistive technologies" contrasts with "(potential) adverse effects" of their use (or their non-use respectively), shaping the context of the decision-making process. There is an appraisal of necessary "(pre-existing) trust" in technology. An a priori "openness towards assistive technologies" intersects latter aspects. A very substantial "need for information" is noted.

conclusionsWhile technical feasibility and tailored solutions are important, they are not the sole determinants of assistive technology adoption in this group. The desire to preserve self-determination and independence emerges as a key motive for choosing assistive technologies; technology can also be seen to invoke stress and negative emotions, and will consequently be rejected. Technology should, moreover, be perceived to be "meaningful" on different levels. Considering these points when developing technologies and addressing them when counselling those affected by dementia and their networks may "tip the scale" towards acceptance.

Indexed as

CaregiversDecision MakingDementiaHome Care ServicesQualitative ResearchSelf-Help DevicesAgedAged, 80 and overAging in PlaceFemaleFocus GroupsHumansMaleAssisted livingAssistive technologiesCaregivingDementiaPerson-centred careQualitative methods

Identifiers

PMID41645064
PMCPMC12958600

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Registered trials

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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.