Evidence map›Paper›PMID 39081617›Full record

ArticleFrontiers in dementia2024

The evaluation of a decision support system integrating assistive technology for people with dementia at home.

Henk Herman Nap, Nathalie E Stolwijk, Sima Ipakchian Askari, Dirk R M Lukkien, Bob M Hofstede, Nicole Morresi, Sara Casaccia, Giulio Amabili, Roberta Bevilacqua, Arianna Margaritini and 9 more

Abstract read
In one paragraph

Article in Frontiers in dementia, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

19 authors.

Henk Herman Nap *Vilans Centre of Expertise for Long-Term Care, Digital Care, Utrecht, Netherlands.
Nathalie E Stolwijk *Vilans Centre of Expertise for Long-Term Care, Digital Care, Utrecht, Netherlands.
Sima Ipakchian Askari *Vilans Centre of Expertise for Long-Term Care, Digital Care, Utrecht, Netherlands.
Dirk R M Lukkien *Vilans Centre of Expertise for Long-Term Care, Digital Care, Utrecht, Netherlands.
Bob M HofstedeVilans Centre of Expertise for Long-Term Care, Digital Care, Utrecht, Netherlands.
Nicole MorresiDepartment of Industrial Engineering and Mathematical Sciences, Università Politecnica delle Marche, Ancona, Italy.
Sara CasacciaDepartment of Industrial Engineering and Mathematical Sciences, Università Politecnica delle Marche, Ancona, Italy.
Giulio AmabiliScientific Direction, Istituto Nazionale Ricovero e Cura per Anziani (IRCCS INRCA), Ancona, Italy.
Roberta BevilacquaScientific Direction, Istituto Nazionale Ricovero e Cura per Anziani (IRCCS INRCA), Ancona, Italy.
Arianna MargaritiniScientific Direction, Istituto Nazionale Ricovero e Cura per Anziani (IRCCS INRCA), Ancona, Italy.
Federico BarbarossaScientific Direction, Istituto Nazionale Ricovero e Cura per Anziani (IRCCS INRCA), Ancona, Italy.
Chien-Ju LinMedical Device Innovation Center, National Cheng Kung University, Tainan, Taiwan.
Hsiao-Feng ChiehMedical Device Innovation Center, National Cheng Kung University, Tainan, Taiwan.
Fong-Chin SuDepartment of Biomedical Engineering, National Cheng Kung University, Tainan, Taiwan.
Gian Marco RevelDepartment of Industrial Engineering and Mathematical Sciences, Università Politecnica delle Marche, Ancona, Italy.
Ephrem TesfayVilans Centre of Expertise for Long-Term Care, Digital Care, Utrecht, Netherlands.
Dorothy BaiSchool of Gerontology and Long-Term Care, College of Nursing, Taipei Medical University, Taipei, Taiwan.
Claire WirtjesVilans Centre of Expertise for Long-Term Care, Digital Care, Utrecht, Netherlands.
Yeh-Liang HsuDepartment of Mechanical Engineering, Yuan Ze University, Taoyuan, Taiwan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: With a decreasing workforce of carers and a transition from care homes to home care, people with dementia (PwD) increasingly rely on informal caregivers (ICs) and assistive technologies (ATs). There is growing evidence that ATs in the home environment can reduce workload for formal carers (FCs) and ICs, reduce care costs, and can have a positive influence on quality of life (QoL) for PwD and their caregivers. In practice, using multiple ATs still often implies using different separate point solutions and applications. However, the integral, combined use of the data generated using various applications can potentially enhance the insight into the health and wellbeing status of PwD and can provide decision support for carers. The purpose of the current study was to evaluate the use of a DSS that integrated multiple ATs into one dashboard through a small-scale field study. Methods: The current study presents the formative evaluation of a Decision Support System (DSS) connected to multiple ATs. This DSS has been developed by means of co-creation during an international project. The DSS provides an insight into the physical and cognitive status of a PwD, as well as an insight into sleep activity and general wellbeing. Semi-structured interview sessions were held in three countries (Netherlands, Italy, and Taiwan) with 41 participants to gain insight into the experiences of formal and informal carers and PwD with both the ATs and the DSS Alpha prototype dashboard. Results: The results showed that participants using the DSS were satisfied and perceived added value and a fit with certain care demands from the PwD. In general, ICs and FCs have limited insight into the status of PwD living independently at home, and in these moments, the DSS dashboard and AT bundle can provide valuable insights. Participants experienced the DSS dashboard as well-organized and easy to navigate. The accuracy of the data displayed in the dashboard is important, the context, and (perceived) privacy issues should be tackled according to all users. Furthermore, based in the insight gained during the evaluation a set of design improvements was composed which can be used to further improve the DSS for the Beta evaluation. Discussion and conclusion: The current paper evaluates a possible solution for excess AT usage and how the use of a DSS which integrated multiple AT into one single technology could support caregivers in providing care for PwD. The formative evaluation scrutinized the integration of the developed DSS and the composed bundle of ATs across diverse cultural contexts. Insights from multi-center observations shed light on user experiences, encompassing overall usability, navigational efficacy, and attitudes toward the system. FCs and ICs expressed positivity toward the DSS dashboard's design and functionalities, highlighting its utility in remote monitoring, tracking changes in the person's abilities, and managing urgent situations. There is a need for personalized solutions and the findings contribute to a nuanced understanding of DSS and AT integration, providing insights for future developments and research in the field of DSS for the care of PwD.

Indexed as

AIassistive technologydecision support systemformal carersgerontechnologieshome supportinformal carers people with dementiapeople with dementia

Identifiers

PMID39081617
PMCPMC11285597

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.