Evidence map›Paper›PMID 34639704›Full record

ArticleInternational journal of environmental research and public health2021

Toward the Integration of Technology-Based Interventions in the Care Pathway for People with Dementia: A Cross-National Study.

Vera Stara, Benjamin Vera, Daniel Bolliger, Susy Paolini, Michiel de Jong, Elisa Felici, Stephanie Koenderink, Lorena Rossi, Viviane Von Doellen, Mirko di Rosa

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 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Article
  2. Review
  3. Virtual humans in geriatric care: an integrative review.The journals of gerontology. Series A, Biological sciences and medical sciences · 2025
    Review
  4. Article
  5. Article
  6. Article
  7. 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

10 authors.

Vera StaraModels for Ageing Care and Technology, IRCCS INRCA-National Institute of Health and Science on Aging, 60124 Ancona, Italy.ORCID 0000-0001-7536-7606
Benjamin VeraiHome Lab, University of Applied Sciences & Arts, 6048 Lucerne, Switzerland.
Daniel BolligeriHome Lab, University of Applied Sciences & Arts, 6048 Lucerne, Switzerland.ORCID 0000-0003-3467-3898
Susy PaoliniUnit of Neurology, IRCCS INRCA-National Institute of Health and Science on Aging, 60124 Ancona, Italy.
Michiel de JongResearch Group IT Innovations in Healthcare, Windesheim University of Applied Sciences, 8017 Zwolle, The Netherlands.
Elisa FeliciModels for Ageing Care and Technology, IRCCS INRCA-National Institute of Health and Science on Aging, 60124 Ancona, Italy.
Stephanie KoenderinkDe Parabol, 7433 Schalkhaar, The Netherlands.
Lorena RossiModels for Ageing Care and Technology, IRCCS INRCA-National Institute of Health and Science on Aging, 60124 Ancona, Italy.ORCID 0000-0002-5688-105X
Viviane Von DoellenOne More Project OMP SàRL-S, 7570 Mersch, Luxembourg.
Mirko di RosaUnit of Geriatric Pharmacoepidemiology and Biostatistics, IRCCS INRCA-National Institute of Health and Science on Aging, 60124 Ancona, Italy.ORCID 0000-0002-1862-4159

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe integration of technology-based interventions into health and care provision in our aging society is still a challenge especially in the care pathway for people with dementia.

objectiveThe study aims to: (1) identify which socio-demographic characteristics are independently associated with the use of the embodied conversational agent among subjects with dementia, (2) uncover patient cluster profiles based on these characteristics, and (3) discuss technology-based interventions challenges.

methodsA virtual agent was used for four weeks by 55 persons with dementia living in their home environment.

resultsParticipants evaluated the agent as easy-to-use and quickly learnable. They felt confident while using the system and expressed the willingness to use it frequently. Moreover, 21/55 of the patients perceived the virtual agent as a friend and assistant who they could feel close to and who would remind them of important things.

conclusionsTechnology-based interventions require a significant effort, such as personalized features and patient-centered care pathways, to be effective. Therefore, this study enriches the open discussion on how such virtual agents must be evidence-based related and designed by multidisciplinary teams, following patient-centered care as well as user-centered design approaches.

Indexed as

CommunicationDementiaHumansPatient-Centered CareTechnologycare pathwaycluster analysisembodied conversational agentolder adults with dementiapersonastechnology-based interventionuser-centered designvirtual agent

Identifiers

PMID34639704
PMCPMC8508540

What OpenQuestion holds

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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.