Evidence map›Paper›PMID 32435576›Full record

ReviewCurrent geriatrics reports2020

The Role of Healthcare Robotics in Providing Support to Older Adults: a Socio-ecological Perspective.

George Mois, Jenay M Beer

Abstract readReview
In one paragraph

Review in Current geriatrics reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Evaluating Human-Robot Interactions to Support Healthy Aging-in-Place.Journal of applied gerontology : the official journal of the Southern Gerontological Society · 2025
    Review
  5. Review
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. 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

2 authors.

George Mois1School of Social Work, University of Georgia, 279 Williams St, Athens, GA 30602 USA.
Jenay M Beer1School of Social Work, University of Georgia, 279 Williams St, Athens, GA 30602 USA.

Funding

Robot-Assisted Cognitive Training for Socially Isolated Older Adults with Mild Cognitive ImpairmentR42AG060800 · NIA · APPLIED UNIVERSAL DYNAMICS CORPORATION · PI BEER, JENAY M · 2018 to 2020
$4.3M
NIA NIH HHS R42 AG060800
6 · The paper itself

Abstract

purpose of reviewIn this review, we provide an overview of how healthcare robotics can facilitate healthy aging, with an emphasis on physical, cognitive, and social supports. We next provide a synthesis of future challenges and considerations in the development and application of healthcare robots. We organize these considerations using a socio-ecological perspective and discuss considerations at the individual, care partner, community healthcare, and healthcare policy levels. RECENT

findingsOlder adults are the fastest growing segment of the US population. Age-related changes and challenges can present difficulties, for older adults want to age healthily and maintain independence. Technology, specifically healthcare robots, has potential to provide health supports to older adults. These supports span widely across the physical, cognitive, and social aspects of healthy aging. SUMMARY: Our review suggests that while healthcare robotics has potential to revolutionize the way in which older adults manage their health, there are many challenges such as clinical effectiveness, technology acceptance, health informatics, and healthcare policy and ethics. Addressing these challenges at all levels of the healthcare system will help ensure that healthcare robotics promote healthy aging and are applied safely, effectively, and reliably.

Indexed as

Aging in placeHealthcare roboticsHealthy agingRoboticsSocio-ecological model

Identifiers

PMID32435576
PMCPMC7223616

What OpenQuestion holds

Textmetadata
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.