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Record W4405190452 · doi:10.1097/ncc.0000000000001414

Symptom Management Guideline Implementation Among Nurses in Cancer-Specific Outpatient Settings

2024· article· en· W4405190452 on OpenAlexaff
Kylie Teggart, Amina Silva, Christian Lopez, Denise Bryant‐Lukosius, Sarah Neil‐Sztramko, Rebecca Ganann

Bibliographic record

VenueCancer Nursing · 2024
Typearticle
Languageen
FieldMedicine
TopicCancer survivorship and care
Canadian institutionsBrock UniversityUniversity of TorontoMcMaster UniversityMcMaster University Medical CentreImpact
Fundersnot available
KeywordsMedicineGuidelineCancerFamily medicineMEDLINENursingInternal medicinePathology

Abstract

fetched live from OpenAlex

BACKGROUND: Oncology outpatients experience high levels of distressing cancer-related symptoms. Nurses can provide high-quality outpatient cancer symptom management following clinical practice guideline recommendations; however, these guidelines are inconsistently used in practice. Understanding contextual factors influencing implementation is necessary to develop tailored implementation strategies. OBJECTIVES: To identify and describe (1) barriers and facilitators influencing symptom management guideline adoption, implementation, and/or sustainability among nurses in cancer-specific outpatient settings and (2) components of strategies used to enhance guideline implementation. METHODS: A scoping review was conducted following Joanna Briggs Institute methodology. CINAHL, EMBASE, EMCARE, MEDLINE, and gray literature sources were searched. Eligibility screening and data extraction were performed in duplicate. The updated Consolidated Framework for Implementation Research and Expert Recommendations for Implementing Change taxonomy informed data extraction and descriptive analysis. RESULTS: Thirty-six projects from 2004 to 2023 were included; most used quality improvement (n = 14) or quasi-experimental (n = 10) designs. Determinants were most often mapped to the "inner setting" and "individuals-roles/characteristics" Consolidated Framework for Implementation Research domains. Most projects used multiple discrete implementation strategies within the "train and educate stakeholders" (n = 29, 85%) and/or "develop stakeholder interrelationships" (n = 20, 59%) categories. CONCLUSIONS: Nurses may face several barriers to symptom management guideline implementation within cancer-specific outpatient setting workflows and may have limited opportunity to implement guidelines within their current roles. Most projects used educational strategies, which alone may be insufficient to address reported barriers. IMPLICATIONS FOR PRACTICE: By identifying barriers, facilitators, and strategies, this scoping review can be used to design tailored strategies to implement symptom management guidelines within outpatient oncology nursing care.

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: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.865
Threshold uncertainty score0.991

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.020
GPT teacher head0.374
Teacher spread0.355 · 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 designNot applicable
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

Citations3
Published2024
Admission routes1
Has abstractyes

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