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A Public Health Perspective on End of Life Care

2012· book· en· W420430917 on OpenAlexaboutno aff
Joachim Cohen, Luc Deliëns

Bibliographic record

VenueOxford University Press eBooks · 2012
Typebook
Languageen
FieldMedicine
TopicPalliative Care and End-of-Life Issues
Canadian institutionsnot available
Fundersnot available
KeywordsPalliative careEnd-of-life careContext (archaeology)Health careNursingMedicinePublic healthCurative carePerspective (graphical)Ambulatory careFamily medicinePolitical science

Abstract

fetched live from OpenAlex

PART I: INTRODUCTION 1. Applying a public health perspective in end-of-life care PART II: CLINICAL AND SOCIAL CONTEXT OF DEATH AND DYING 2. Place of death and end-of-life care 3. Circumstances of death and dying 4. End-of-life decisions 5. Economic and health related consequences of individuals caring for terminally ill cancer patients in Canada PART III: END-OF-LIFE CARE: PROVISION, ACCESS, AND CHARACTERISTICS 6. Aggressive treatment and palliative care at the end of life 7. Access to palliative care 8. Communication between patient and caregiver PART IV: END-OF-LIFE CARE SETTINGS 9. Palliative care in primary care 10. Palliative care in institutional long-term care settings 11. Palliative care in hospitals PART V: INEQUALITIES AT THE END OF LIFE: UNDERSERVED GROUPS 12. Non-cancer patients 13. Palliative care for the older adult 14. A public health framework for pediatric palliative and hospice care 15. End-of-life care for patients with intellectual disabilities 16. End-of-life care for people who live in rural or remote areas versus those who live in urban areas 17. Social inequalities at the end of life PART VI: END-OF-LIFE CARE POLICIES 18. Design, implementation, and evaluation of palliative care programs and services with a public health who perspective 19. Public health policy regarding end-of-life care in sub-Saharan Africa 20. Palliative care in the global context: understanding policies to support end-of-life care 21. The importance of family carers in end-of-life care: a public health approach PART VII: CONCLUSION 22. Conclusions

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.938
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
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 head0.176
GPT teacher head0.346
Teacher spread0.171 · 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 designNot applicable
Domainnot available
GenreOther

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

Citations106
Published2012
Admission routes1
Has abstractyes

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