Evidence map›Paper›PMID 34781881›Full record

ArticleBMC geriatrics2021

Digital personal assistants are smart ways for assistive technology to aid the health and wellbeing of patients and carers.

Gayathri Victoria Balasubramanian, Paul Beaney, Ruth Chambers

Open access · goldAbstract read
In one paragraph

Article in BMC geriatrics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed, 4 pooled it
20.2field-weighted citation impact, top 1% of its field
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

23 citing papers in PubMed, 4 syntheses or guidelines pooled it, 70 citations in OpenAlex.

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  7. Multimodal Wearable Biosensing Meets Multidomain AI: A Pathway to Decentralized Healthcare.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
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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

3 authors at 2 institutions in 1 country.

Gayathri Victoria BalasubramanianCentre for Biomechanics and Rehabilitation Technologies, Faculty of Health, Staffordshire University, Stoke-on-Trent, UK. Gayathri.balasubramanian@research.staffs.ac.uk.ORCID 0000-0002-0916-0479
Paul BeaneyKeele University Medical School, Keele, Newcastle-under-Lyme, UK.
Ruth ChambersDigital Workstream, Staffordshire and Stoke-on-Trent Sustainability and Transformation Partnership (STP), Staffordshire, UK.
Keele University · GBUniversity of Staffordshire · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDigital health solutions such as assistive technologies create significant opportunities to optimise the effectiveness of both health and social care delivery. Assistive technologies include 'low-tech' items, such as memory aids and digital calendars or 'high-tech' items, like health tracking devices and wearables. Depending on the type of assistive devices, they can be used to improve quality of life, effect lifestyle improvements and increase levels of independence. Acceptance of technology among patients and carers depends on various factors such as perceived skills and competencies in using the device, expectations, trust and reliability. This service evaluation explored the impact of a pilot service redesign focused on improving health and wellbeing by the use of a voice-activated device 'smart speaker', Alexa Echo Show 8.

methodsA service evaluation/market research was conducted for a pilot service redesign programme. Data were collected via a survey in person or telephone and from two focus groups of patients (n = 44) and informal carers (n = 7). The age of the study participants ranged from 50 to 90 years. Also, the participants belonged to two types of cohort: one specifically focused on diabetes and the other on a range of long-term health conditions such as multiple sclerosis, dementia, depression and others.

resultsThe device had a positive impact on the health and social well-being of the users; many direct and indirect benefits were identified. Both patients and carers had positive attitudes towards using the device. Self-reported benefits included: reminders for medications and appointments improved adherence and disease control; increased independence and productivity; and for those living alone, the device helped combat their loneliness and low mood.

conclusionThe findings from the study help to realise the potential of assistive technology for empowering supporting health/social care. Especially, the season of COVID-19 pandemic has highlighted the need for remote management of health, the use of assistive technology could have a pivotal role to play with the sustainability of health/social care provision by promoting shared care between the care provider and service user. Further evaluation can explore the key drivers and barriers for implementing assistive technologies, especially in people who are ageing and with long-term health conditions.

Indexed as

COVID-19Self-Help DevicesAgedAged, 80 and overCaregiversHumansPandemicsQuality of LifeReproducibility of ResultsSARS-CoV-2Assistive deviceAssistive technologyDiabetesHealthHealthcareLong-term condition

Identifiers

PMID34781881
PMCPMC8591585
OpenAlexW3211375098

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.