Evidence map›Paper›PMID 39140653›Full record

ArticleHealthcare management forum2024

Adoption of assistive technologies in long-term care homes: What the pandemic has taught us.

Goldie Nejat, Amos Zehavi, Cristina Getson, Hila Shoef-Kollwitz

Abstract read
In one paragraph

Article in Healthcare management forum, 2024. 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. 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.

Goldie NejatUniversity of Toronto, Toronto, Ontario, Canada.ORCID 0000-0002-7080-6857
Amos ZehaviCanadian Institute for Advanced Research, Toronto, Ontario, Canada.ORCID 0000-0002-4925-7275
Cristina GetsonUniversity of Toronto, Toronto, Ontario, Canada.ORCID 0000-0002-7976-6396
Hila Shoef-KollwitzTel Aviv University, Tel Aviv, Israel.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

COVID-19 increased the use of technology in everyday life and highlighted critical applications for assistive technologies. This comparative research study explores how assistive technologies, including socially assistive robots, can be adopted by long-term care homes to mitigate the lasting effects of the pandemic. In particular, we investigated the types of assistive technologies used by long-term care facilities to help with the care of older residents and for what tasks. Furthermore, we identified barriers to adoption and proposed policy measures that encourage technology adoption.

Indexed as

COVID-19Long-Term CareNursing HomesPandemicsSARS-CoV-2Self-Help DevicesAgedHumans

Identifiers

PMID39140653
PMCPMC11528851

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.