Evidence map›Paper›PMID 37790195›Full record

ArticleGerontology & geriatric medicine

Ascertaining Whether an Intelligent Voice Assistant Can Meet Older Adults' Health-Related Needs in the Context of a Geriatrics 5Ms Framework.

Ella T Lifset, Kemeberly Charles, Emilia Farcas, Nadir Weibel, Michael Hogarth, Chen Chen, Janet G Johnson, Mary Draper, Annie L Nguyen, Alison A Moore

Abstract read
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In one paragraph

Article in Gerontology & geriatric medicine. 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

10 authors.

Ella T LifsetUniversity of California San Diego, La Jolla, USA.
Kemeberly CharlesUniversity of California San Diego, La Jolla, USA.
Emilia FarcasUniversity of California San Diego, La Jolla, USA.
Nadir WeibelUniversity of California San Diego, La Jolla, USA.
Michael HogarthUniversity of California San Diego, La Jolla, USA.
Chen ChenUniversity of California San Diego, La Jolla, USA.ORCID https://orcid.org/0000-0001-7179-0861
Janet G JohnsonUniversity of California San Diego, La Jolla, USA.
Mary DraperUniversity of California San Diego, La Jolla, USA.
Annie L NguyenUniversity of Southern California, Alhambra, USA.
Alison A MooreUniversity of California San Diego, La Jolla, USA.ORCID https://orcid.org/0000-0003-2989-4346

Funding

UCSD Medical Student Summer Aging Research TrainingT35AG026757 · NIA · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI Benjamin Hyun Han, Ellen Eun-Ok Lee · 2005 to 2026
$2.2M
SCH: INT: VOLI: Voice Assistant for Quality of Life and Healthcare Improvement in Aging Populations R56AG067393 · NIA · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI FARCAS, EMILIA · 2019 to 2020
$599k
NIA NIH HHS R56 AG067393NIA NIH HHS T35 AG026757
6 · The paper itself

Abstract

The Geriatrics 5Ms: Medications, Mind, Mobility, what Matters most and Multicomplexity is a framework to address the complex needs of older adults. Intelligent Voice Assistants (IVAs) are increasingly popular and have potential to support health-related needs of older adults. We utilized previously collected qualitative data on older adults' views of how an IVA may address their health-related needs and ascertained their fit into the Geriatrics 5Ms framework. The codes describing health challenges and potential IVA solutions fit the framework: (1) Medications: difficulty remembering medications. SOLUTION: reminders. (2) Mind: isolation, anxiety, memory loss. SOLUTION: companionship, memory aids. (3) Mobility: barriers to exercise. SOLUTION: incentives, exercise ideas. (4) Matters most: eating healthy foods. SOLUTION: suggest and order nutritious foods, (5) Multicomplexity; managing multimorbidity. SOLUTION: symptom tracking and communicating with health care professionals. Incorporating the 5Ms framework into IVA design can aid in addressing health care priorities of older adults.

Indexed as

agingmultimorbidityqualitative researchtechnology

Identifiers

PMID37790195
PMCPMC10542316

What OpenQuestion holds

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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.