Evidence map›Paper›PMID 36408129›Full record

ArticleJournal of rehabilitation and assistive technologies engineering

Human-like tele-health robotics for older adults - A preliminary feasibility trial and vision.

Nooshin Jafari, Michael Lim, Aida Hassani, Jennifer Cordeiro, Crystal Kam, Kendall Ho

Abstract read
In one paragraph

Article in Journal of rehabilitation and assistive technologies engineering. 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. Toward Autonomous Self-Healing in Soft Robotics: A Review and Perspective for Future Research.Advanced intelligent systems (Weinheim an der Bergstrasse, Germany) · 2025
    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.

Nooshin JafariDepartment of Emergency Medicine, University of British Columbia, Vancouver, BC, Canada.ORCID https://orcid.org/0000-0001-8107-7779
Michael LimDepartment of Emergency Medicine, University of British Columbia, Vancouver, BC, Canada.
Aida HassaniDepartment of Emergency Medicine, University of British Columbia, Vancouver, BC, Canada.
Jennifer CordeiroDepartment of Emergency Medicine, University of British Columbia, Vancouver, BC, Canada.
Crystal KamDepartment of Emergency Medicine, University of British Columbia, Vancouver, BC, Canada.
Kendall HoDepartment of Emergency Medicine, University of British Columbia, Vancouver, BC, Canada.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: The global increase of the aging population presents major challenges to healthcare service delivery. Further, the COVID-19 pandemic exposed older adults' vulnerability to rapid deterioration of health when deprived of access to care due to the need for social distancing. Robotic technology advancements show promise to improve provision of quality care, support independence for patients and augment the capabilities of clinicians to perform tasks remotely. Aim: This study explored the feasibility and end-user acceptance of using a novel human-like tele-robotic system with touch feedback to conduct a remote medical examination and deliver safe care. Method: Testing of a remotely controlled robot was conducted with in-person clinician support to gather ECG readings of 11 healthy participants through a digital medical device. Post-study feedback about the system and the remote examinations conducted was obtained from study participants and study clinicians. Results: The findings demonstrated the system's capability to support remote examination of participants, and validated the system's perceived acceptability by clinicians and end-users who all reported feeling safe interacting with the robot and 72% preferred remote robotic exam over in-person examination. Conclusion: This paper discusses potential implications of robot-assisted telehealth for patients including older adults who are precluded from having in-person medical visits due to geographic distance or mobility, and proposes next steps for advancing robot-assisted telehealth delivery.

Indexed as

assistive technologieshuman-like robotindependent livingolder adultsremote medical examinationroboticstele-healthVirtual care

Identifiers

PMID36408129
PMCPMC9666707

What OpenQuestion holds

Textmetadata
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.