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Record W3207793656 · doi:10.3390/diseases9040070

Neglected Needs of Family Caregivers during the COVID-19 Pandemic and What They Need Now: A Qualitative Study

2021· article· en· W3207793656 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

VenueDiseases · 2021
Typearticle
Languageen
FieldHealth Professions
TopicFamily and Patient Care in Intensive Care Units
Canadian institutionsUniversity of AlbertaToronto Dementia Research AllianceAlberta Health Services
Fundersnot available
KeywordsPandemicFamily caregiversQualitative researchCoronavirus disease 2019 (COVID-19)NursingPsychologyHealth careMedicineGerontologySociologyPolitical scienceDiseaseInfectious disease (medical specialty)

Abstract

fetched live from OpenAlex

COVID-19 has had a negative impact on family caregivers, whether the care receivers lived with the caregiver, in a separate community home, in supportive living, or in long-term care. This qualitative study examines the points of view of family caregivers who care in diverse settings. Family caregivers were asked to describe what could have been done to support them during the COVID-19 pandemic and to suggest supports they need in the future as the pandemic wanes. Thorne's interpretive qualitative methodology was employed to examine current caregiver concerns. Thirty-two family caregivers participated. Family caregivers thought the under-resourced, continuing care system delayed pandemic planning, and that silos in health and community systems made caregiving more difficult. Family caregivers want their roles to be recognized in policy, and they cite the need for improvements in communication and navigation. The growth in demand for family caregivers and their contributions to the healthcare system make it critical that the family caregiver role be recognized in policy, funding, and practice.

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)0.000
metaresearch head score (Gemma)0.005
Version: codex-gemma-dda1882f352aValidation 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 score0.235
Threshold uncertainty score0.620

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.125
GPT teacher head0.431
Teacher spread0.306 · 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