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Record W4224273659 · doi:10.3390/nursrep12020027

Before the COVID-Vaccine—Vulnerable Elderly in Homecare

2022· article· en· W4224273659 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueNursing Reports · 2022
Typearticle
Languageen
FieldHealth Professions
TopicGeriatric Care and Nursing Homes
Canadian institutionsMcMaster UniversityImpact
Fundersnot available
KeywordsLonelinessIsolation (microbiology)Social isolationMedicineCoronavirus disease 2019 (COVID-19)ComorbidityPopulationGerontologyHealth careFamily medicineDiseasePsychiatryEnvironmental health

Abstract

fetched live from OpenAlex

BACKGROUND: At the beginning of 2020, the COVID-19 virus was spreading all over the world. Frail elderly were at risk for illness and death. Isolation seemed to be the best solution. The aim of this paper was to describe how the lockdown affected elderly homecare patients. METHODS: We used an international self-reported screening instrument built on well-documented risk factors adapted to COVID-19. We considered ethical, legal, and practical concerns. The research included telephone interviews with 30 homecare patients. RESULTS: Seventy percent lived alone. Seventy-three percent of the sample suffered from major comorbidity. Cardiovascular disorder was the most frequent diagnosis. Nineteen (63.3%) needed help for personal care. Several of the participants were lonely and depressed. The homecare teams struggled to give proper care. The health authorities encouraged the population to reduce their outside physical activities to a minimum. The restrictions due to COVID-19 affected daily life and several respondents expressed uncertainties about the future. CONCLUSIONS: It is important to describe the patients' experiences in a homecare setting at the initiation of lockdowns due to COVID-19. The isolation protected them from the virus, but they struggled with loneliness and the lack of physical contact with their loved ones. In the future, we need to understand and address the unmet needs of elderly homecare patients in lockdown.

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.

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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.107
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0030.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.031
GPT teacher head0.381
Teacher spread0.349 · 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