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The Value of Nurses Specialized in Wound, Ostomy, and Continence: A Systematic Review

2021· review· en· W3201491748 on OpenAlexaff
Corey Heerschap, Victoria Duff

Bibliographic record

VenueAdvances in Skin & Wound Care · 2021
Typereview
Languageen
FieldMedicine
TopicStoma care and complications
Canadian institutionsRoyal Victoria Regional Health Centre
Fundersnot available
KeywordsMedicineValue (mathematics)MEDLINEGeneral surgery

Abstract

fetched live from OpenAlex

OBJECTIVE: To critically appraise peer-reviewed evidence concerning the value, or implied sense of worth or benefit, of nurses specialized in wound, ostomy, and continence (WOC) care. DATA SOURCES: The Preferred Reporting Items for Systematic Reviews and Meta-analyses was used to systematically review current literature in a single database from 2009 to the date of search (July 2019). STUDY SELECTION: The initial search retrieved 2,340 elements; 10 studies were retained following removal of duplicate records, title and abstract reviews, and application of the inclusion/exclusion criteria. DATA EXTRACTION: Literature was graded and critiqued with regard to design and research quality and then synthesized using a narrative approach. DATA SYNTHESIS: Nine values that WOC nurses demonstrate were identified: improved quality of life for patients, teaching and mentoring, cost reduction, improved efficiency, improved wound outcomes, improved incontinence outcomes, advanced treatments, research, and leadership. CONCLUSIONS: Although current studies suggest that there is value in the WOC nurse role, in all areas of the trispecialty, there is a need for high-quality literature with higher-level designs focused on bias reduction.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.537
Threshold uncertainty score0.905

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0030.000
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)0.0000.000

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 head0.017
GPT teacher head0.380
Teacher spread0.363 · 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 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

Citations26
Published2021
Admission routes1
Has abstractyes

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