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Record W3123877527 · doi:10.1177/0269216321989562

The COVID-19 pandemic and palliative care units: A cross-sectional survey of the informational needs of caregivers

2021· article· en· W3123877527 on OpenAlexaff
Ginah Lee Kim, Anna Berall, Sandra Gardner, Jahnel Brookes, Marsha Natadiria, Giulia‐Anna Perri

Bibliographic record

VenuePalliative Medicine · 2021
Typearticle
Languageen
FieldMedicine
TopicPalliative Care and End-of-Life Issues
Canadian institutionsBaycrest HospitalHealth Sciences CentrePublic Health OntarioUniversity of Toronto
Fundersnot available
KeywordsPalliative carePsychosocialMedicineCross-sectional studyVisitor patternPandemicFamily caregiversNursingPopulationFamily medicineUnit (ring theory)Health careCaregiver burdenSocial supportCoronavirus disease 2019 (COVID-19)PsychologyPsychiatryDiseaseDementia

Abstract

fetched live from OpenAlex

Background: Visiting restrictions placed on palliative care units due to the COVID-19 pandemic have resulted in emotional and psychological distress to patients, their caregivers and families. However, the informational needs of caregivers during pandemic visiting restrictions have never been studied. Aim: To identify the informational needs of caregivers of patients admitted to an end-of-life palliative care unit under COVID-19 visiting restrictions. Methods: Nineteen caregivers of patients admitted to a single palliative care unit while under pandemic visiting restrictions were recruited. A cross-sectional telephone survey was performed, which examined the importance of different informational needs of caregivers and how well these needs were being met. Results: Receiving information about hospital regulations/procedures, health updates about the patient, social support for the patient and how to communicate with the patient in light of visitor restrictions were 'very important' to caregivers. In contrast, caregivers were 'neutral' towards receiving information about accessing psychosocial/emotional support for the caregiver and religious/spiritual support for the patient. Qualitative data summaries provided a richer understanding of these quantitative rankings. Conclusion: These findings will assist healthcare professionals in providing optimal informational support to caregivers during visitor restrictions in order to improve the growing psychological impact on this population.

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)0.012
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.016
Threshold uncertainty score0.997

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.012
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.002
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 head0.237
GPT teacher head0.447
Teacher spread0.210 · 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 designObservational
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

Citations3
Published2021
Admission routes1
Has abstractyes

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