Evidence map›Paper›PMID 34383672›Full record

ArticleJMIR aging2021

Smart Home Sensing and Monitoring in Households With Dementia: User-Centered Design Approach.

Federico Tiersen, Philippa Batey, Matthew J C Harrison, Lenny Naar, Alina-Irina Serban, Sarah J C Daniels, Rafael A Calvo

Abstract read
In one paragraph

Article in JMIR aging, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 47 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
47citing papers in PubMed, 5 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

47 citing papers in PubMed, 5 syntheses or guidelines pooled it.

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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

7 authors.

Federico TiersenDyson School of Design Engineering, Imperial College London, London, United Kingdom.ORCID https://orcid.org/0000-0003-2746-1686
Philippa BateyCare Research and Technology Centre, UK Dementia Research Institute, Imperial College London, London, United Kingdom.ORCID https://orcid.org/0000-0002-6108-2973
Matthew J C HarrisonCare Research and Technology Centre, UK Dementia Research Institute, Imperial College London, London, United Kingdom.ORCID https://orcid.org/0000-0002-4905-5737
Lenny NaarCare Research and Technology Centre, UK Dementia Research Institute, Imperial College London, London, United Kingdom.ORCID https://orcid.org/0000-0002-1419-7364
Alina-Irina SerbanCare Research and Technology Centre, UK Dementia Research Institute, Imperial College London, London, United Kingdom.ORCID https://orcid.org/0000-0001-9468-8237
Sarah J C DanielsCare Research and Technology Centre, UK Dementia Research Institute, Imperial College London, London, United Kingdom.ORCID https://orcid.org/0000-0002-7415-1907
Rafael A CalvoDyson School of Design Engineering, Imperial College London, London, United Kingdom.ORCID https://orcid.org/0000-0003-2238-0684

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAs life expectancy grows, so do the challenges of caring for an aging population. Older adults, including people with dementia, want to live independently and feel in control of their lives for as long as possible. Assistive technologies powered by artificial intelligence and internet of things devices are being proposed to provide living environments that support the users' safety, psychological, and medical needs through remote monitoring and interventions.

objectiveThis study investigates the functional, psychosocial, and environmental needs of people living with dementia, their caregivers, clinicians, and health and social care service providers toward the design and implementation of smart home systems.

methodsWe used an iterative user-centered design approach comprising 9 substudies. First, semistructured interviews (9 people with dementia, 9 caregivers, and 10 academic and clinical staff) and workshops (35 pairs of people with dementia and caregivers, and 12 health and social care clinicians) were conducted to define the needs of people with dementia, home caregivers, and professional stakeholders in both daily activities and technology-specific interactions. Then, the spectrum of needs identified was represented via patient-caregiver personas and discussed with stakeholders in a workshop (14 occupational therapists; 4 National Health Service pathway directors; and 6 researchers in occupational therapy, neuropsychiatry, and engineering) and 2 focus groups with managers of health care services (n=8), eliciting opportunities for innovative care technologies and public health strategies. Finally, these design opportunities were discussed in semistructured interviews with participants of a smart home trial involving environmental sensors, physiological measurement devices, smartwatches, and tablet-based chatbots and cognitive assessment puzzles (10 caregivers and 2 people with dementia). A thematic analysis revealed factors that motivate household members to use these technologies.

resultsOutcomes of these activities include a qualitative and quantitative analysis of patient, caregiver, and clinician needs and the identification of challenges and opportunities for the design and implementation of remote monitoring systems in public health pathways.

conclusionsParticipatory design methods supported the triangulation of stakeholder perspectives to aid the development of more patient-centered interventions and their translation to clinical practice and public health strategy. We discuss the implications and limitations of our findings, the value and the applicability of our methodology, and directions for future research.

Indexed as

assistive technologydementiadigital healthhuman centered designindependent livinginternet of thingspatient-centered careremote monitoringsmart homeuser-centered design

Identifiers

PMID34383672
PMCPMC8387885

What OpenQuestion holds

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LicenceCC BY
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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.