Evidence map›Paper›PMID 36644688›Full record

ArticleGerontology & geriatric medicine

Ethical Issues in Long-term Care in Low-, Middle- and High-Income Countries During the COVID-19 Pandemic.

Preet Gandhi, Angel Petropanagos, Andreea Popescu, Darren Bugaresti, Theresa Nitti, Nipa Chauhan, Paula Chidwick, Jill Oliver

Abstract 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. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

8 authors.

Preet GandhiUniversity of British Columbia, Vancouver, Canada.ORCID https://orcid.org/0000-0001-5764-9781
Angel PetropanagosWilliam Osler Health System, Brampton, ON, Canada.ORCID https://orcid.org/0000-0001-9181-4904
Andreea PopescuWilliam Osler Health System, Brampton, ON, Canada.
Darren BugarestiWilliam Osler Health System, Brampton, ON, Canada.
Theresa NittiWilliam Osler Health System, Brampton, ON, Canada.ORCID https://orcid.org/0000-0002-3086-3232
Nipa ChauhanWilliam Osler Health System, Brampton, ON, Canada.
Paula ChidwickWilliam Osler Health System, Brampton, ON, Canada.
Jill OliverWilliam Osler Health System, Brampton, ON, Canada.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Long-term care (LTC) centers experienced an unprecedented emergency involving exponential mortality during the COVID-19 pandemic. Individuals residing in long-term care were particularly vulnerable to the effects of COVID-19, placing residents, staff, families, and organizations in a precarious position. Complex issues surrounding how to manage vulnerable populations during the pandemic have highlighted the importance of gathering information on ethical issues that require effective policy and decision-making. This project sought to identify the ethical issues faced in long-term care by residents, families, staff, and organizations from stakeholders themselves. A total of 305 participants from 45 countries responded, highlighting numerous ethical issues in long-term care during COVID-19. While numerous issues were mentioned, there was an overlap in the themes of responses between stakeholders. Visitation, isolation, harm, staff well-being, and the overall enforcement of policies during the pandemic represented the most often discussed issues. As a preliminary study of this issue, future research is necessary in order to effectively guide pandemic policymaking moving forward.

Indexed as

COVID-19ethical issueslong-term careresidentsvisitation

Identifiers

PMID36644688
PMCPMC9836839

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.