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Record W4379769538 · doi:10.1017/s071498082300017x

“My Biggest Fear Is She’ll Die Alone”: Care Partner Perspectives of Institutional COVID-19 Visitor Restrictions in Ontario, Canada

2023· article· en· W4379769538 on OpenAlexafffundabout
Julie C. Reid, Sarah Carbone, Julia F Shaw, Molly Gallibois, Stacey A. Hawkins

Bibliographic record

VenueCanadian Journal on Aging / La Revue canadienne du vieillissement · 2023
Typearticle
Languageen
FieldHealth Professions
TopicGeriatric Care and Nursing Homes
Canadian institutionsOntario Tech UniversityUniversity of New BrunswickUniversity of OttawaUniversity of TorontoMcMaster University
FundersCanadian Frailty NetworkGovernment of Canada
KeywordsVisitor patternGovernment (linguistics)PandemicIsolation (microbiology)Public healthMental healthHealth careCoronavirus disease 2019 (COVID-19)AnxietyPublic policyNursingPsychologyMedicineGerontologyPolitical sciencePsychiatryDisease

Abstract

fetched live from OpenAlex

In March 2020, the Government of Ontario, Canada implemented public health measures, including visitor restrictions in institutional care settings, to protect vulnerable populations, including older adults (> 65 years), against COVID-19 infection. Prior research has shown that visitor restrictions can negatively influence older adults' physical and mental health and can cause increased stress and anxiety for care partners. This study explores the experiences of care partners separated from the person they care for because of institutional visitor restrictions during the COVID-19 pandemic. We interviewed 14 care partners between the ages of 50 and 89; 11 were female. The main themes that emerged were changing public health and infection prevention and control policies, shifting care partner roles as a result of visitor restrictions, resident isolation and deterioration from the care partner perspective, communication challenges, and reflections on the impacts of visitor restrictions. Findings may be used to inform future health policy and system reforms.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.005
metaresearch head score (Gemma)0.008
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.134
Threshold uncertainty score0.270

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.008
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0230.010
Scholarly communication0.0060.003
Open science0.0020.007
Research integrity0.0020.005
Insufficient payload (model declined to judge)0.0030.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.027
GPT teacher head0.302
Teacher spread0.275 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations2
Published2023
Admission routes3
Has abstractyes

Explore more

Same venueCanadian Journal on Aging / La Revue canadienne du vieillissement→Same topicGeriatric Care and Nursing Homes→French-language works237,207→