Evidence map›Paper›PMID 39600885›Full record

ArticleFrontiers in aging2024

How can robots facilitate physical, cognitive, and social engagement in skilled nursing facilities?

Rhian C Preston, Madison R Shippy, Carolyn M Aldwin, Naomi T Fitter

Abstract read
In one paragraph

Article in Frontiers in aging, 2024. 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

4 authors.

Rhian C PrestonCollaborative Robotics and Intelligent Systems Institute (CoRIS), Oregon State University, Corvallis, OR, United States.
Madison R ShippyCollaborative Robotics and Intelligent Systems Institute (CoRIS), Oregon State University, Corvallis, OR, United States.
Carolyn M AldwinSchool of Human Development and Family Sciences, Oregon State University, Corvallis, OR, United States.
Naomi T FitterCollaborative Robotics and Intelligent Systems Institute (CoRIS), Oregon State University, Corvallis, OR, United States.

Funding

NRI: Robot-Assisted Longitudinal Physical and Cognitive Exercise Interventions for Older VeteransR01AG078124 · NIA · OREGON STATE UNIVERSITY · PI FITTER, NAOMI T, SMART, WILLIAM D · 2022 to 2024
$807k
NIA NIH HHS R01 AG078124
6 · The paper itself

Abstract

As people live longer, the population of older adults in need of support continues to expand relative to the available workforce of caregivers, necessitating new solutions to supplement caregiver availability for the physical, cognitive, and social needs of older adults. Robotics and automation present strong possible solutions. Past solutions have typically supported short-term rehabilitation and aging in place, yet many older adults live in skilled nursing facilities (SNFs), a setting reached by relatively little research to date. In this paper, we examine the unique needs of staff and residents at SNFs, after which we begin an iterative design process of robot-mediated wellness activities for the SNF space. We worked closely with domain experts in exercise science and physical therapy for older adults and a local SNF to design and test a series of robot-mediated activity prototypes with residents, visitors, and staff. We found that while both residents and staff highly value physical activity, there are nuanced challenges associated with supporting resident activity (one important element of overall wellbeing). As a result, we considered and tested a wide range of intervention options from usual approaches (e.g., mirroring movements) to creative approaches (e.g., social engagement via lewd humor). Our final design insights can inform practitioners who wish to use robots to support resident wellbeing in SNFs.

Indexed as

design thinking processhuman-robot interactionrobots for older adultsskilled nursing facilitiessocially assistive roboticsuser-centered design

Identifiers

PMID39600885
PMCPMC11588719

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.