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Record W4283832385 · doi:10.1188/22.onf.315-325

A Qualitative Study of the Everyday Impacts of Cognitive Difficulties After Stem Cell Transplantation

2022· article· en· W4283832385 on OpenAlexaffabout
Samantha Mayo

Bibliographic record

VenueOncology nursing forum · 2022
Typearticle
Languageen
FieldMedicine
TopicCancer-related cognitive impairment studies
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsCognitionMedicineCoping (psychology)Hematopoietic stem cell transplantationQualitative researchCognitive impairmentTransplantationAffect (linguistics)Clinical psychologyGerontologyPsychologyPsychiatry

Abstract

fetched live from OpenAlex

PURPOSE: To explore how cognitive difficulties affect the everyday lives of survivors of allogeneic hematopoietic stem cell transplantation (allo-HSCT). PARTICIPANTS & SETTING: 20 survivors of allo-HSCT attending follow-up care at a tertiary cancer center in Toronto, Canada. METHODOLOGIC APPROACH: This qualitative, descriptive study used semistructured interviews. FINDINGS: Cognitive symptoms affected the everyday lives of allo-HSCT survivors by changing the experience of everyday tasks, provoking emotional responses, and prompting adoption of mitigation strategies. Subthemes within each of these themes highlight the ways in which cognitive impairment shapes how allo-HSCT survivors feel about themselves, interact with others, and navigate coping challenges. IMPLICATIONS FOR NURSING: These findings demonstrate the multidimensional experience of cognitive difficulties following allo-HSCT and may inform the development of patient-centered approaches to assessing and managing cognitive difficulties.

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)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.172
Threshold uncertainty score0.428

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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 head0.022
GPT teacher head0.358
Teacher spread0.336 · 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 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

Citations7
Published2022
Admission routes2
Has abstractyes

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