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Record W4386541612 · doi:10.3390/geriatrics8050090

The Perpetual Pivot: Understanding Care Partner Experiences in Ontario Long-Term Care Homes during the COVID-19 Pandemic

2023· article· en· W4386541612 on OpenAlexafffundabout
Katherine Kortes-Miller, Maïa Natale, Kimberley Wilson, Arne Stinchcombe

Bibliographic record

VenueGeriatrics · 2023
Typearticle
Languageen
FieldHealth Professions
TopicGeriatric Care and Nursing Homes
Canadian institutionsUniversity of GuelphUniversity of OttawaLakehead University
FundersSocial Sciences and Humanities Research CouncilSocial Sciences and Humanities Research Council of Canada
KeywordsPandemicPhoneThematic analysisMedicineLong-term careCoronavirus disease 2019 (COVID-19)Health careSocial isolationSample (material)Social distanceNursingIsolation (microbiology)Personal careFamily medicineQualitative researchPsychiatryDiseaseSociology

Abstract

fetched live from OpenAlex

Long-term care homes (LTCHs) were impacted during the COVID-19 pandemic. With their ever-changing conditions and restrictions, care partners' roles in LTCHs changed drastically. In this cross-sectional study, an electronic survey was used to examine the experiences of care part-ners who were caring for one or more adults in an Ontario LTCH during the pandemic. The survey was circulated through social media (convenience sample) which produced a convenience sample of 81 caregiver participants. Visit characteristics and a comparison in the quality of care in LTCHs was analyzed before the pandemic as well as during the most restrictive times. Visitation lengths and frequencies, other sources of communication such as phone and video calls, and various types of care provided by caregivers such as personal grooming and personal care all decreased significantly during the pandemic. Care partners also reported that the health of their care recipients decreased significantly during restrictive visitation times. Through thematic analysis, we identified three themes: restrictions and changing LTCH conditions created (1) social isolation and an erosion of connection, (2) a communication breakdown, and (3) a lack of person-centered care. Findings from this research can promote the health and wellbeing of residents and care partners within LTCHs.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.422
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0040.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.134
GPT teacher head0.402
Teacher spread0.268 · 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 teacher head, not a consensus.

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

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