Evidence map›Paper›PMID 37314840›Full record

ArticleJMIR aging2023

Implementing Active Assisted Living Technology in the Long-term Care of People Living With Dementia to Address Loneliness: European Survey.

Kübra Beliz Budak, Franziska Laporte Uribe, Franka Meiland, Simone Anna Felding, Sonja Teupen, Johannes Michael Bergmann, Rene Mueller-Widmer, Martina Roes

Abstract read
In one paragraph

Article in JMIR aging, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 1 pooled it
–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

3 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. 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

8 authors.

Kübra Beliz BudakDeutsches Zentrum für Neurodegenerative Erkrankungen e.V., site Witten, Witten, Germany.ORCID https://orcid.org/0000-0002-6786-8678
Franziska Laporte UribeDeutsches Zentrum für Neurodegenerative Erkrankungen e.V., site Witten, Witten, Germany.ORCID https://orcid.org/0000-0002-5850-7782
Franka MeilandDepartment of Medicine for Older People, Amsterdam Public Health Research Institute, Vrije Universiteit Medical Center, Amsterdam, Netherlands.ORCID https://orcid.org/0000-0001-6219-5390
Simone Anna FeldingDeutsches Zentrum für Neurodegenerative Erkrankungen e.V., site Witten, Witten, Germany.ORCID https://orcid.org/0000-0002-0074-5841
Sonja TeupenDeutsches Zentrum für Neurodegenerative Erkrankungen e.V., site Witten, Witten, Germany.ORCID https://orcid.org/0000-0003-3272-7426
Johannes Michael BergmannDeutsches Zentrum für Neurodegenerative Erkrankungen e.V., site Witten, Witten, Germany.ORCID https://orcid.org/0000-0002-9942-4633
Rene Mueller-WidmerDeutsches Zentrum für Neurodegenerative Erkrankungen e.V., site Witten, Witten, Germany.ORCID https://orcid.org/0009-0008-0261-5611
Martina RoesDeutsches Zentrum für Neurodegenerative Erkrankungen e.V., site Witten, Witten, Germany.ORCID https://orcid.org/0000-0003-4531-8584

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIn the lives of people with dementia, loneliness is an important issue with psychological and physical consequences. Active assisted living (AAL) technology has been gaining visibility in the care of persons living with dementia, including addressing loneliness. However, to the best of our knowledge, there is a lack of evidence concerning the factors influencing the implementation of AAL technology within the context of dementia, loneliness, and long-term care (LTC).

objectiveWe aimed to identify the familiarity with AAL technology that is promising for addressing loneliness in persons living with dementia in LTC in Europe and the factors influencing AAL technology implementation.

methodsA web-based survey was developed based on findings from our previous literature review. The Consolidated Framework for Implementation Research guided the development and analysis of the survey. Participants included 24 representatives of Alzheimer Europe member associations from 15 European countries. The data were analyzed using basic statistical methods (descriptive statistics).

resultsThe baby seal robot Paro was reported to be the most familiar AAL technology by 19 of 24 participants addressing loneliness in people with dementia living in LTC. Participants from Norway (n=2) reported familiarity with 14 AAL technologies, and participants from Serbia (n=1) reported zero familiarity. It seems that countries that invest less in LTC facilities are familiar with fewer AAL technologies. At the same time, these countries report a more positive attitude toward AAL technology, express a higher need for it, and see more advantages than disadvantages than those countries that invest more in LTC. However, a country's investment in LTC facilities does not seem to be linked to other implementation aspects such as costs, planning, and the impact of infrastructure.

conclusionsImplementation of AAL technology to address loneliness in dementia seems to be linked to familiarity with the technology in a country as well as national investment in LTC facilities. This survey confirms the literature on higher investment countries' critical stance in regard to AAL technology implementation to address loneliness in persons living with dementia living in LTC. Further research is needed to clarify the potential reasons why familiarity with more AAL technology does not seem to be directly linked with acceptance, positive attitude, or satisfaction with AAL technology addressing loneliness in persons living with dementia.

Indexed as

active assisted living technologyAlzheimerCFIRdementiaimplementationlonelinesslong-term caresocial isolation

Identifiers

PMID37314840
PMCPMC10334712

What OpenQuestion holds

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LicenceCC BY
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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.