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Record W4224225509 · doi:10.1188/22.onf.233-241

Virtual Reality for Symptom Management in Patients Undergoing Hematopoietic Stem Cell Transplantation: A Quality Improvement Initiative

2022· article· en· W4224225509 on OpenAlexaboutno aff

Bibliographic record

VenueOncology nursing forum · 2022
Typearticle
Languageen
FieldMedicine
TopicCancer survivorship and care
Canadian institutionsnot available
Fundersnot available
KeywordsQuality managementIntervention (counseling)Virtual realityHematopoietic stem cell transplantationQuality of life (healthcare)DistressingHematopoietic stem cellMEDLINE

Abstract

fetched live from OpenAlex

OBJECTIVES: To evaluate the effects of virtual reality (VR) on symptom distress, such as depression, anxiety, and pain, experienced by individuals receiving allogeneic hematopoietic stem cell transplantation. SAMPLE & SETTING: 20 participants aged 19-70 years (median age of 56.5 years) who were hospitalized in an academic setting received as many as two sessions of VR per week for two weeks. METHODS & VARIABLES: Before and after each session, participants completed the revised Edmonton Symptom Assessment Scale (ESAS-r) to evaluate their symptoms. Paired t tests were later conducted. RESULTS: VR sessions showed significant improvement in 8 of the 10 symptoms addressed in ESAS-r. IMPLICATIONS FOR NURSING: VR can improve symptoms in patients following hematopoietic stem cell transplantation in a hospital setting, provide a low-cost intervention to treat symptoms, and support future investigations exploring how VR affects prolonged hospitalizations related to distressing symptoms.

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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.710
Threshold uncertainty score0.650

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 head0.030
GPT teacher head0.331
Teacher spread0.301 · 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

Citations4
Published2022
Admission routes1
Has abstractyes

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