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Record W4404162914 · doi:10.5737/23688076344539

The experiences of living with multiple myeloma and a palliative approach to care: A grounded theory study

2024· article· en· W4404162914 on OpenAlexaffvenue
Ambereen Weerahandi, Shane Sinclair, Shelley Raffin‐Bouchal, Linda Watson, Laurie Lemieux

Bibliographic record

VenueCanadian Oncology Nursing Journal · 2024
Typearticle
Languageen
FieldMedicine
TopicMultiple Myeloma Research and Treatments
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsGrounded theoryMultiple myelomaPalliative careMedicineNursingSociologyQualitative researchGerontologyPsychologyInternal medicineAnthropology

Abstract

fetched live from OpenAlex

Purpose: Multiple myeloma is an incurable hematologic cancer. A palliative approach to care can be used in conjunction with curative therapy to alleviate suffering, but is underutilized in the hemato- oncology population. The purpose of this study was to explore living with multiple myeloma and individuals' experiences with, and perceptions of a palliative approach in their care. Methods: Straussian grounded theory was employed. Ten individuals with multiple myeloma participated between October 2021 and May 2022. Results: A theoretical model depicting the process of living with multiple myeloma was developed. Seven categories emerged from the data, as well as a core category: 'existing in the liminal space between living with and dying from multiple myeloma'. Results demonstrate that a palliative approach to care was inconsistently utilized. Conclusions: The model designed from the participant data offers an explanation of the process of living with multiple myeloma and how a palliative approach to care can be utilized to help these individuals.

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)0.024
metaresearch head score (Gemma)0.024
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 score0.024
Threshold uncertainty score0.125

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0240.024
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0030.003
Science and technology studies0.0130.017
Scholarly communication0.0070.007
Open science0.0030.008
Research integrity0.0030.006
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 head0.030
GPT teacher head0.342
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

Citations2
Published2024
Admission routes2
Has abstractyes

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Same venueCanadian Oncology Nursing JournalSame topicMultiple Myeloma Research and TreatmentsFrench-language works237,207