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Record W2072559600 · doi:10.1097/ncc.0b013e3181cb40c0

A Systematic Review of Oral Assessment Instruments

2010· review· en· W2072559600 on OpenAlexaff
Faith Gibson, E Auld, Gemma Bryan, Suzanne Coulson, J.V. Craig, Anne‐Marie Glenny

Bibliographic record

VenueCancer Nursing · 2010
Typereview
Languageen
FieldMedicine
TopicOral health in cancer treatment
Canadian institutionsGibson Energy (Canada)
FundersCancer Research UKChildren's Cancer and Leukaemia Group
KeywordsMedicineCINAHLMucositisMEDLINECochrane LibrarySystematic reviewPopulationPsychological interventionFamily medicineAlternative medicineNursingSurgeryPathology

Abstract

fetched live from OpenAlex

In Brief Background: Observing and recording the signs and symptoms of oral mucositis are an important part of oral care, essential to the prevention and treatment of mucositis. Structured oral assessment enables a more informed and accurate identification of signs and symptoms and will enable early and individualized interventions. Objective: A United Kingdom-based mouth-care group conducted a systematic review of the published literature through to March 2004 and repeated in 2008. The goal of this review was to identify and evaluate the range of instruments used to assess oral mucositis to recommend in evidence-based guidelines the "best" instrument to use in the field of children's and young people's cancer care. Methods: Search sources included the Cochrane Library, MEDLINE, EMBASE, and CINAHL. Studies were selected using defined criteria and reviewed by 3 pairs of group members. Results: Fifty-four individual oral assessment instruments were identified with only 15 reporting evidence of reliability and validity testing. Only 3 articles reported on oral assessment exclusively in our population. Conclusions: The guidelines recommend only 1 assessment instrument, the Oral Assessment Guide, or adaptations of this instrument, to be used in clinical practice. Five factors influenced this recommendation: purpose of assessment, population, outcomes assessed, and quality of the instrument and ease of use. Implications for Practice: The Oral Assessment Guide has been consistently judged to be user-friendly and appropriate for everyday clinical practice with both adults and children, as well as a useful research tool. Background: Observing and recording the signs and symptoms of oral mucositis are an important part of oral care, essential to the prevention and treatment of mucositis. Structured oral assessment enables a more informed and accurate identification of signs and symptoms and will enable early and individualized interventions. Objective: A United Kingdom-based mouth-care group conducted a systematic review of the published literature through to March 2004 and repeated in 2008. The goal of this review was to identify and evaluate the range of instruments used to assess oral mucositis to recommend in evidence-based guidelines the "best" instrument to use in the field of children's and young people's cancer care. Methods: Search sources included the Cochrane Library, MEDLINE, EMBASE, and CINAHL. Studies were selected using defined criteria and reviewed by 3 pairs of group members. Results: Fifty-four individual oral assessment instruments were identified with only 15 reporting evidence of reliability and validity testing. Only 3 articles reported on oral assessment exclusively in our population. Conclusions: The guidelines recommend only 1 assessment instrument, the Oral Assessment Guide, or adaptations of this instrument, to be used in clinical practice. Five factors influenced this recommendation: purpose of assessment, population, outcomes assessed, and quality of the instrument and ease of use. Implications for Practice: The Oral Assessment Guide has been consistently judged to be user-friendly and appropriate for everyday clinical practice with both adults and children, as well as a useful research tool.

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: Systematic review
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.472
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0050.001
Bibliometrics0.0000.001
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 head0.108
GPT teacher head0.535
Teacher spread0.427 · 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

Citations22
Published2010
Admission routes1
Has abstractyes

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