Evidence map›Paper›PMID 28700074›Full record

ArticleJournal of gerontological nursing2017

Socially Assistive Robots: Measuring Older Adults' Perceptions.

Linda M Beuscher, Jing Fan, Nilanjan Sarkar, Mary S Dietrich, Paul A Newhouse, Karen F Miller, Lorraine C Mion

Abstract read
In one paragraph

Article in Journal of gerontological nursing, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed, 2 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

21 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
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  9. Review
  10. Determinants of Attitude to a Humanoid Social Robot in Care for Older Adults: A Post-Interaction Study.Medical science monitor : international medical journal of experimental and clinical research · 2023
    Article
  11. Coaching Robots for Older Seniors: Do They Get What They Expect? Insights from an Austrian Study.International journal of environmental research and public health · 2023
    Article
  12. Article
  13. Digital Engagement of Older Adults: Scoping Review.Journal of medical Internet research · 2022
    Article
  14. Review
  15. Article
  16. Article
  17. Review
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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.

Linda M Beuscher
Jing Fan
Nilanjan Sarkar
Mary S Dietrich
Paul A Newhouse
Karen F Miller
Lorraine C Mion

Funding

The Vanderbilt Institute for Clinical and Translational Research (VICTR)UL1TR000445 · NCATS · VANDERBILT UNIVERSITY MEDICAL CENTER · PI BERNARD, GORDON RAPHAEL · 2012 to 2016
$41.4M
Impact of a Novel Socially Assistive Robotic Architecture on Engaging Older Adults with Mild Cognitive Impairment, Alzheimer's Disease, and Related Dementia in Long Term Care SettingsR01AG062685 · NIA · VANDERBILT UNIVERSITY · PI SARKAR, NILANJAN, TATE, JUDITH ANN · 2020 to 2024
$3.5M
Socially Assistive Robotic Architecture for Elder CareR21AG050483 · NIA · VANDERBILT UNIVERSITY · PI MION, LORRAINE C, SARKAR, NILANJAN · 2016 to 2017
$540k
NCATS NIH HHS UL1 TR000445NIA NIH HHS R01 AG062685NIA NIH HHS R21 AG050483
6 · The paper itself

Abstract

To address manpower shortages, health care leaders recommend technology, including robots, to facilitate and augment processes for delivery of efficient, safe care. Little is known regarding older adults' perceptions of socially assistive robots (SARs). Using the Unified Theory of Acceptance and Use Technology framework, a survey was developed and tested for capturing older adults' likelihood to use SARs. The Robot Acceptance Survey (RAS) comprises three subscales: Performance Expectancy, Effort Expectancy, and Attitude. Older adults completed the RAS pre- and post-experimental procedure with a SAR. Cronbach's alpha coefficients for the subscales ranged from 0.77 to 0.89. Subscales were sensitive to change, with more positive reactions after exposure to SAR activities. Future studies must identify robotic programming capable of providing cognitive, physical, and social assistance, as well as person-, activity-, situation-, and robot-specific factors that will influence older adults' acceptance of SARs. [Journal of Gerontological Nursing, 43(12), 35-43.].

Indexed as

PerceptionAgedCross-Sectional StudiesHumansQuality of LifeRobotics

Identifiers

PMID28700074
PMCPMC5989313

What OpenQuestion holds

Textmetadata
LicenceTDM
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.