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Record W4389899885 · doi:10.1188/24.onf.49-58

An Integrative Review of Patient Education During Inpatient Hematopoietic Stem Cell Transplantation

2024· review· en· W4389899885 on OpenAlexaff
Claire Beaton

Bibliographic record

VenueOncology nursing forum · 2024
Typereview
Languageen
FieldMedicine
TopicCancer survivorship and care
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsPsycINFOCINAHLMedicineMEDLINEHematopoietic stem cell transplantationScopusCritical appraisalPatient satisfactionTransplantationIntensive care medicineNursingAlternative medicineSurgeryPsychological intervention

Abstract

fetched live from OpenAlex

PROBLEM IDENTIFICATION: Patients undergoing hematopoietic stem cell transplantation (HSCT) have significant learning needs that nurses must provide. The review question was "What teaching methods and strategies have been examined to deliver education to patients undergoing HSCT?" LITERATURE SEARCH: The review was conducted in November 2022 using the following databases: Scopus®, Embase®, MEDLINE®, CINAHL®, PsycINFO®, and ERIC. The search comprised two main concepts: HSCT and patient education. DATA EVALUATION: The search yielded 1,458 records after duplicates were removed, and 3 studies were included in this review. The studies were critically appraised using the Mixed Methods Appraisal Tool and deemed to be of moderate quality. SYNTHESIS: Problem-solving training was the teaching method used in all three studies. Satisfaction was noted among patients and those delivering the intervention. The effect of the training on information retention or application was not measured. IMPLICATIONS FOR PRACTICE: Additional research is needed to explore how to best educate patients undergoing HSCT while hospitalized. Structured teaching methods may have a sound theoretical basis and warrant additional investigation using more rigorous research methods.

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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.723
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0020.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.018
GPT teacher head0.370
Teacher spread0.352 · 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.

Study designSystematic review
Domainnot available
GenreReview

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

Citations1
Published2024
Admission routes1
Has abstractyes

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