Evidence map›Paper›PMID 42294264›Full record

ArticleJournal of ageing and longevity2025

Independent Living for Older Adults with Cognitive Impairment: A Narrative Review of Stakeholder Perceptions and Experiences with Assistive and Socially Assistive Robots.

Delaram Sirizi, Morteza Sabet, Katelyn Hummel, Juanita-Dawne R Bacsu, Ava Longo, Zahra Rahemi

Abstract read
In one paragraph

Article in Journal of ageing and longevity, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Review
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

6 authors.

Delaram SiriziDepartment of Biological, Environmental, and Earth Sciences, University of South Carolina Aiken, Aiken, SC 29801, USA.ORCID 0009-0005-1147-4396
Morteza SabetSchool of Mechanical and Automative Engineering, Clemson University, Greenville, SC 29607, USA.ORCID 0000-0003-0471-0360
Katelyn HummelSchool of Nursing, Clemson University, Clemson, SC 29634, USA.ORCID 0009-0004-5632-4386
Juanita-Dawne R BacsuSchool of Nursing, Thompson Rivers University, Kamloops, BC V2C 0C8, Canada.
Ava LongoSchool of Nursing, Clemson University, Clemson, SC 29634, USA.
Zahra RahemiSchool of Nursing, Clemson University, Clemson, SC 29634, USA.ORCID 0000-0003-1126-2287

Funding

Exploring Advance Care Planning Among Older Adults Across Racial, Ethnic, and Cognitive Differences Using Data ScienceK01AG081485 · NIA · CLEMSON UNIVERSITY · PI Zahra Rahemi · 2024 to 2026
$394k
NIA NIH HHS K01 AG081485
6 · The paper itself

Abstract

Background: (1)Alzheimer's disease and related dementias (ADRD) are a major cause of mortality among older adults globally. The cognitive decline associated with ADRD often reduces individuals' ability to live independently over time, increasing reliance on caregivers. Assistive and socially assistive robots offer a promising means of supporting independent living. This narrative review examined how older adults with ADRD, their caregivers, and healthcare providers perceive and experience interactions with robots. Methods: (2)Guided by the Population, Phenomenon of Interest, and Context (PICo) framework, five databases were searched. Sixteen studies met the inclusion criteria. Extracted data were summarized, and a convergent synthesis integrated qualitative and quantitative findings. Results: (3)Drawing on content analysis, the qualitative findings were organized into three domains: user perceptions and experiences, barriers to adoption, and suggestions for improvement. Quantitative results emphasized usability, usefulness, acceptance, satisfaction, feature preferences, and barriers. While most stakeholders viewed robots as beneficial, acceptance was shaped by factors such as design features, timing of introduction, familiarity with technology, and perceived need. Conclusions: (4)This review highlights priorities for future research and development, including personalization, ethical safeguards, and caregiver integration, to improve the acceptance and effectiveness of robot-assisted support for individuals with cognitive impairment.

Indexed as

Alzheimer’s diseaseartificial intelligencecognitive impairmentdementiahuman–robot interactionsindependent livingrobot-assisted support

Identifiers

PMID42294264
PMCPMC13253492

What OpenQuestion holds

Textmetadata
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.