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Record W2013731340 · doi:10.1177/154405910208100705

Validity and Reliability of a Questionnaire for Measuring Child Oral-health-related Quality of Life

2002· article· en· W2013731340 on OpenAlexafffund
Aleksandra Jokovic, David Locker, Marlene Stephens, Danelle Kenny, Bryan Tompson, Gordon Guyatt

Bibliographic record

VenueJournal of Dental Research · 2002
Typearticle
Languageen
FieldDentistry
TopicDental Health and Care Utilization
Canadian institutionsHospital for Sick ChildrenMcMaster UniversityUniversity of Toronto
FundersFaculty of Dentistry, University of Toronto
KeywordsCronbach's alphaIntraclass correlationQuality of life (healthcare)Reliability (semiconductor)Oral healthMedicineTest (biology)Clinical psychologyPsychometricsPsychologyFamily medicineNursing

Abstract

fetched live from OpenAlex

Oral-health-related quality of life measures that exist are designed for adults. This study aimed to develop and evaluate the CPQ(11-14), a self-report measure of the impact of oral and oro-facial conditions on 11- to 14-year-old children. An item pool was generated with the use of a literature review and interviews with health professionals, parents, and child patients. The 36 items rated the most frequent and bothersome by 83 children were selected for the CPQ(11-14). Validity testing involved a new sample of 123 children. Test-retest reliability was assessed in a subgroup of these children (n = 65). Mean CPQ(11-14) scores were highest for oro-facial (31.4), lower for orthodontic (24.3), and lowest for pedodontic (23.3) patients. There were significant associations between the CPQ(11-14) score and global ratings of oral health (p < 0.05) and overall well-being (p < 0.01). The Cronbach's alpha and intraclass correlation coefficient for the CPQ(11-14) were 0.91 and 0.90, respectively. These results suggest that the CPQ(11-14) is valid and reliable.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.014
metaresearch head score (Gemma)0.032
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.014
Threshold uncertainty score0.074

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0140.032
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.001
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0000.001
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 head0.241
GPT teacher head0.459
Teacher spread0.218 · 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 source (direct Gemma or distilled Codex), 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

Citations866
Published2002
Admission routes2
Has abstractyes

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