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Record W81142536 · doi:10.1177/082585970502100408

The Experience of Hope for Informal Caregivers of Palliative Patients

2005· article· en· W81142536 on OpenAlexaff
Lorraine Holtslander, Wendy Duggleby, Allison Williams, Karen Wright

Bibliographic record

VenueJournal of Palliative Care · 2005
Typearticle
Languageen
FieldPsychology
TopicOptimism, Hope, and Well-being
Canadian institutionsMcMaster UniversityUniversity of Saskatchewan
Fundersnot available
KeywordsPalliative careNursingGrounded theoryPsychological interventionQualitative researchValue (mathematics)PsychologyHealth careHealth professionalsMedicineSociology

Abstract

fetched live from OpenAlex

This study explored the experience of hope for informal caregivers of palliative patients. Interviews were conducted with 10 caregivers living with and providing care to a palliative patient. The interview data were analyzed using grounded theory qualitative methods. "Eroding hope" was their main concern--a result of bad days, negative messages, and experiences with the health care system. The participants dealt with eroding hope by "hanging on to hope." Hanging on to hope had four subprocesses: a) doing what you have to do, b) living in the moment, c) staying positive, and d) writing your own story. The support of friends, family, and health care professionals, and spiritually connecting with something bigger and stronger were subprocesses. These findings have application for informal caregivers providing palliative care at home, as a basis for assessment and interventions. Health care professionals need to recognize and value the experience of hope for the informal caregivers of palliative patients.

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)0.004
metaresearch head score (Gemma)0.017
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.005
Threshold uncertainty score0.019

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.017
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.000
Science and technology studies0.0050.006
Scholarly communication0.0030.003
Open science0.0010.005
Research integrity0.0010.003
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 head0.021
GPT teacher head0.333
Teacher spread0.312 · 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 designQualitative
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

Citations71
Published2005
Admission routes1
Has abstractyes

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