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Record W2137523606 · doi:10.1002/hed.10299

Maxillary obturators: The relationship between patient satisfaction and speech outcome

2003· article· en· W2137523606 on OpenAlexaff
Jana Rieger, John F. Wolfaardt, Naresh Jha, Hadi Seikaly

Bibliographic record

VenueHead & Neck · 2003
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicCleft Lip and Palate Research
Canadian institutionsMisericordia Community HospitalUniversity of Alberta
Fundersnot available
KeywordsPatient satisfactionOutcome (game theory)DentistryMedicinePsychologyOrthodonticsMathematicsNursing

Abstract

fetched live from OpenAlex

BACKGROUND: Patient satisfaction with a maxillary obturator has been studied in relation to extent of surgical defect, sociodemographic characteristics, scores on mental health inventories, and psychosocial adjustment to illness scales. However, review of the literature reveals limited study of the relationship between patient satisfaction with an obturator and clinical speech outcome measures. The purpose of this study is to relate patient satisfaction scores obtained by questionnaire with those obtained by means of clinical speech measurements. METHODS: Acoustical, aeromechanical, and perceptual measurements of speech were collected for 20 patients after receiving a definitive obturator. Patient satisfaction with their obturator was later measured with the Obturator Functioning Scale (OFS). RESULTS: Results reveal that poorer aeromechanical speech results were associated with patient-reported avoidance of social events, whereas lower speech intelligibility outcomes were related to overall poorer perception of speech function on the OFS. Several background patient characteristics were significantly related to several responses on the OFS and to the aeromechanical assessment outcomes. CONCLUSIONS: Results from instrumental assessments of speech seem to be informative regarding not only speech outcome but also a patient's satisfaction with the obturator. Consideration of background patient characteristics is important when interpreting both clinically obtained and patient-perceived outcomes.

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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.041
Threshold uncertainty score0.241

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 head0.055
GPT teacher head0.328
Teacher spread0.273 · 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 designObservational
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

Citations82
Published2003
Admission routes1
Has abstractyes

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