Evidence map›Paper›PMID 37033088›Full record

ArticleGerontology & geriatric medicine

Telepresence Robots in Long-Term Care Settings in British Columbia During the COVID-19 Pandemic: Analyzing the Experiences of Residents and Family Members.

Lillian Hung, Grace Hu, Joey Wong, Haopu Ren, Nazia Ahmed, Ali Hussein, Erika Young, Annette Berndt, Jim Mann, Rekesh Corepal and 1 more

Open access · goldAbstract read
In one paragraph

Article in Gerontology & geriatric medicine. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
13.1field-weighted citation impact, top 1% of its field
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

12 citing papers in PubMed, 30 citations in OpenAlex.

  1. Article
  2. The Impact of Telepresence Robots on Family Caregivers and Residents in Long-Term Care.International journal of environmental research and public health · 2025
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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

11 authors at 2 institutions in 1 country.

Lillian HungUniversity of British Columbia, Vancouver, Canada.ORCID https://orcid.org/0000-0002-7916-2939
Grace HuUniversity of British Columbia, Vancouver, Canada.
Joey WongUniversity of British Columbia, Vancouver, Canada.
Haopu RenUniversity of British Columbia, Vancouver, Canada.
Nazia AhmedUniversity of British Columbia, Vancouver, Canada.
Ali HusseinUniversity of British Columbia, Vancouver, Canada.
Erika YoungUniversity of British Columbia, Vancouver, Canada.
Annette BerndtUniversity of British Columbia, Vancouver, Canada.
Jim MannUniversity of British Columbia, Vancouver, Canada.ORCID https://orcid.org/0000-0001-7048-7844
Rekesh CorepalAlzheimer Society of British Columbia, Vancouver, Canada.
Lily WongUniversity of British Columbia, Vancouver, Canada.
University of British Columbia · CAAlzheimer Society of Canada · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Telepresence robots are being increasingly used in long-term care (LTC) homes for virtual visits between families and residents. This study investigated the impacts and experiences of residents and their families using a telepresence robot (Double 3) for 4 to 12 months during the COVID-19 pandemic. A total of 51 participants were recruited through purposive sampling, including 9 residents, 15 family members, and 27 staff from 4 LTC homes in British Columbia, Canada. Conversational interviews were conducted with residents and family members. Focus groups and one-to-one interviews were held with frontline staff. Thematic analysis was performed, with five themes identified: (1) Stay connected, (2) Regain autonomy, (3) Relieve caregiver burden, (4) Environmental and technical issues, and (5) Scheduling concerns. In conclusion, telepresence robots helped maintain social connections between residents and families, despite the COVID-19 restrictions.

Indexed as

familylong-term caresocial connectionsocial isolationtechnologytelepresence robot

Identifiers

PMID37033088
PMCPMC10076606
OpenAlexW4362571131

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.