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Record W2963705290 · doi:10.1097/njh.0000000000000584

Rise Above

2019· article· en· W2963705290 on OpenAlexaff
Nasreen Lalani, Wendy Duggleby, Joanne Olson

Bibliographic record

VenueJournal of Hospice and Palliative Nursing · 2019
Typearticle
Languageen
FieldSocial Sciences
TopicReligion, Spirituality, and Psychology
Canadian institutionsUniversity of CalgaryUniversity of Alberta
Fundersnot available
KeywordsSpiritualityFamily caregiversCompassionPsychological interventionPsychologyDignitySpiritual carePalliative careNursingMedicineAlternative medicine

Abstract

fetched live from OpenAlex

Family caregivers experience multiple transitions, resolutions, loss, and grief where their search for meaning becomes evident. Spirituality is an important dimension of palliative care, yet little attention has been given to this important aspect of spirituality especially among the family caregivers in a hospice setting. The study aimed to bring the hidden voices of family caregivers, their own spiritual experiences caring for their dying patients in a hospice setting, to guide and direct the care practices of health care professionals. An interpretive descriptive approach guided the study using a purposive sample of 18 family caregivers from a hospice in Karachi, Pakistan. Major themes were family love, attachment, and belongingness; honoring family values and dignity; acts of compassion and selfless service; and seeking God's kindness and grace. Spirituality enabled family caregivers to uncover meaningful engagement and provided strength and peace while serving a dying family member in challenging caregiving situations such as adversity and limited resources. They highly valued the love, respect, and honor of the family; showed compassion; believed in God's blessings; and experienced spiritual growth and self-transcendence. Spirituality was found to be a major resource of coping among family caregivers. Health care professionals need to integrate spirituality while developing family-centered interventions in hospice care.

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)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.158
Threshold uncertainty score0.225

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
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 head0.036
GPT teacher head0.394
Teacher spread0.358 · 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.

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

Citations25
Published2019
Admission routes1
Has abstractyes

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