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Record W3199748167 · doi:10.1017/s0714980821000398

“Be Their Advocate”: Families’ Experience with a Relative in LTC during the COVID-19 Pandemic

2021· article· en· W3199748167 on OpenAlexafffund
Suzanne Dupuis‐Blanchard, Danica Maillet, Danielle Thériault, Félix LeBlanc, Catherine Bigonnesse

Bibliographic record

VenueCanadian Journal on Aging / La Revue canadienne du vieillissement · 2021
Typearticle
Languageen
FieldHealth Professions
TopicGeriatric Care and Nursing Homes
Canadian institutionsUniversité de Moncton
FundersNew Brunswick Innovation FoundationGovernment of OntarioFondation de la recherche en santé du Nouveau-BrunswickRegistered Nurses' Association of Ontario
KeywordsVisitor patternPandemicAutonomyLong-term careWorkforcePsychologyCoronavirus disease 2019 (COVID-19)NursingEthnographyGerontologySociologyMedicinePolitical science

Abstract

fetched live from OpenAlex

Abstract Shortly after the COVID-19 pandemic was declared, strict visitor restrictions were issued for long-term care facilities (LTCFs). A year later, restrictions are still in place and they continue to impact family members who have limited or no in-person contact with their relative in LTCFs. The goal of this qualitative longitudinal focused ethnography was to understand the experience of family members who have a relative in a LTCF where visiting has been restricted during the pandemic. Seventeen family members participated in two interviews that were 6 months apart. Data analysis highlighted five key drivers, defined as the workforce, communication deficits, characteristics of care, public health directives, and autonomy of relative which in turn resulted in three main themes: psychological distress, surveillance, and visiting challenges. This study provides a glimpse into the difficult experiences of families with a relative residing in a LTCF in the province of New Brunswick.

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)0.010
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 score0.094
Threshold uncertainty score0.188

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.010
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0180.009
Scholarly communication0.0030.003
Open science0.0020.005
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.0040.000

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 head0.036
GPT teacher head0.309
Teacher spread0.273 · 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

Citations20
Published2021
Admission routes2
Has abstractyes

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Same venueCanadian Journal on Aging / La Revue canadienne du vieillissementSame topicGeriatric Care and Nursing HomesFrench-language works237,207