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Record W1919333778 · doi:10.12968/ijpn.2006.12.1.20392

Supportive and palliative care needs identified by multiple sclerosis patients and their families

2006· article· en· W1919333778 on OpenAlexaff
Judy Wollin, Patsy Yates, Linda J. Kristjanson

Bibliographic record

VenueInternational Journal of Palliative Nursing · 2006
Typearticle
Languageen
FieldMedicine
TopicMultiple Sclerosis Research Studies
Canadian institutionsVictoria Park
Fundersnot available
KeywordsPalliative careSadnessDistressHealth professionalsPsychologyMultiple sclerosisMedicineNursingFamily medicineHealth carePsychiatryClinical psychology

Abstract

fetched live from OpenAlex

AIM: To identify the supportive needs of individuals with multiple sclerosis (MS) and their families. DESIGN, SAMPLE AND METHOD: In-depth interviews were carried out with people living with MS in the community, their family members and health professionals. The data were transcribed verbatim and recurring themes identified. FINDINGS: The analysis of interviews revealed four themes: disbelief and devastation; losses and forced life choices; tracking down services and information; and sadness and relief. CONCLUSION: Given the duration, range of symptoms and distress often associated with MS, the findings of this research raise the important question of the role of palliative services in supporting the person with MS and his/her family.

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)0.001
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 score0.042
Threshold uncertainty score0.670

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
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 head0.049
GPT teacher head0.333
Teacher spread0.284 · 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

Citations79
Published2006
Admission routes1
Has abstractyes

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