Evidence map›Paper›PMID 38100397›Full record

ArticlePloS one2023

Long-term care transitions during a global pandemic: Planning and decision-making of residents, care partners, and health professionals in Ontario, Canada.

Sarah Carbone, Whitney Berta, Susan Law, Kerry Kuluski

Abstract read
In one paragraph

Article in PloS one, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. 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.

Sarah CarboneInstitute of Health Policy, Management and Evaluation, University of Toronto, Toronto, Ontario, Canada.ORCID 0000-0002-8230-9612
Whitney BertaInstitute of Health Policy, Management and Evaluation, University of Toronto, Toronto, Ontario, Canada.
Susan LawInstitute of Health Policy, Management and Evaluation, University of Toronto, Toronto, Ontario, Canada.
Kerry KuluskiInstitute of Health Policy, Management and Evaluation, University of Toronto, Toronto, Ontario, Canada.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The COVID-19 pandemic appears to have shifted the care trajectories of many residents and care partners in Ontario who considered leaving LTC to live in the community for a portion or the duration of the pandemic. This type of care transition-from LTC to home care-was highly uncommon prior to the pandemic, therefore we know relatively little about the planning and decision-making involved. The aim of this study was to describe who was involved in LTC to home care transitions in Ontario during the COVID-19 pandemic, to what extent, and the factors that guided their decision-making. A qualitative description study involving semi-structured interviews with 32 residents, care partners and health professionals was conducted. Transition decisions were largely made by care partners, with varied input from residents or health professionals. Stakeholders considered seven factors, previously identified in a scoping review, when making their transition decisions: (a) institutional priorities and requirements; (b) resources; (c) knowledge; (d) risk; (e) group structure and dynamic; (f) health and support needs; and (g) personality preferences and beliefs. Participants' emotional responses to the pandemic also influenced the perceived need to pursue a care transition. The findings of this research provide insights towards the planning required to support LTC to home care transitions, and the many challenges that arise during decision-making.

Indexed as

COVID-19PandemicsCaregiversHumansLong-Term CareNursing HomesOntarioPatient Transfer

Identifiers

PMID38100397
PMCPMC10723734

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.