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Record W4390505249 · doi:10.1080/07481187.2023.2300061

Age does matter for hospice care: Health care providers’ attitudes toward hospice care in Binzhou, China

2024· article· en· W4390505249 on OpenAlexaff
Heshuo Yu, Kate de Medeiros

Bibliographic record

VenueDeath Studies · 2024
Typearticle
Languageen
FieldMedicine
TopicPalliative Care and End-of-Life Issues
Canadian institutionsConcordia University
Fundersnot available
KeywordsTabooHospice careMedicineChinaHealth careNursingFamily medicinePalliative care

Abstract

fetched live from OpenAlex

Death is still a taboo subject in China. Consequently, hospice remains a relatively new concept in many parts of China. In addition, China is also a rapidly aging country which will likely impact health care delivery, making hospice a potentially effective addition to current healthcare systems. The goal of this study was to better understand health care providers' (physicians and nurses) views about potential hospice implementation, especially with regards to patients' age. Semi-structured, open-ended interviews were conducted with 15 health care providers in Binzhou. Most participants felt that hospice care was only appropriate for older patients and rarely, if ever, for younger ones regardless of disease or prognosis. They also mentioned the links between traditional Chinese medicine (TCM) and many hospice principles. Given deeply held cultural attitudes about dying, hospice implementation would be most successful if directed toward older patients with terminal prognosis and with an emphasis on TCM.

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)0.002
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.129
Threshold uncertainty score0.256

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0020.001
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.101
GPT teacher head0.454
Teacher spread0.353 · 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 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

Citations1
Published2024
Admission routes1
Has abstractyes

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