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Record W1982294687 · doi:10.12968/ijpn.2007.13.6.23746

Coping strategies, emotional outcomes and spiritual quality of life in palliative care nurses

2007· article· en· W1982294687 on OpenAlexaffabout
Jean‐François Desbiens, Lise Fillion

Bibliographic record

VenueInternational Journal of Palliative Nursing · 2007
Typearticle
Languageen
FieldSocial Sciences
TopicReligion, Spirituality, and Psychology
Canadian institutionsUniversité Laval
Fundersnot available
KeywordsPalliative careCoping (psychology)Disengagement theoryMoodPsychologyAngerClinical psychologyMedicineNursingGerontology

Abstract

fetched live from OpenAlex

It is in accompanying the dying that palliative care nurses say they find meaning in their work. To further explore this phenomenon, consideration of coping strategies is proposed. The main objective of this correlational study was to describe the association between coping strategies (using a revised version of the COPE scale (Carver et al, 1999)), emotional outcomes (distress and vigour; profile of mood states (POMS)), and spiritual quality of life (using the Functional Assessment of Chronic Illness Therapy - Spiritual Wellbeing Scale (FACIT-sp)). A sample of 120 nurses providing palliative care in acute care hospitals and the community in Quebec was included. Positive reinterpretation (beta=.27; p<.01) and turning to religion (beta=.33; p<.001), two strategies related to meaning-making coping and disengagement (beta=-.19; p<.05), were the best predictors, accounting for 22% of variance of spiritual quality of life. These findings are consistent with recent studies and highlight the importance of meaning-making strategies in psychological adjustment to bereavement for palliative care nurses.

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)0.001
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 score0.050
Threshold uncertainty score0.498

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
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 head0.100
GPT teacher head0.482
Teacher spread0.383 · 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

Citations76
Published2007
Admission routes2
Has abstractyes

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