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Testing responsiveness to change for the early childhood oral health impact scale (ECOHIS)

2008· article· en· W2001199407 on OpenAlexafffund
S. Li, Samuel L. Malkinson, Jacques Véronneau, Paul Allison

Bibliographic record

VenueCommunity Dentistry And Oral Epidemiology · 2008
Typearticle
Languageen
FieldDentistry
TopicDental Health and Care Utilization
Canadian institutionsMcGill University
FundersCanadian Institutes of Health Research
KeywordsMedicineEarly childhoodOral healthJudgementQuality of life (healthcare)PediatricsDevelopmental psychologyPsychologyDentistryNursing

Abstract

fetched live from OpenAlex

OBJECTIVES: The Early Childhood Oral Health Impact Scale (ECOHIS) is a recently developed oral health-related quality of life instrument designed to assess the impact of oral health problems in 0-5-year-old children. It has previously been validated as discriminative instrument. The goal of this study was to investigate the responsiveness to change of the ECOHIS. METHODS: Data were collected from a convenience sample of 101 parents of 0-5-year-old children attending a hospital dental clinic for dental treatment. The ECOHIS was completed by parents prior to dental treatment and 2 weeks later. Subjects were also asked a global transition judgement concerning change between the second and first completion of the ECOHIS instrument. Responsiveness to change of the ECOHIS was analysed through: (i) a comparison of ECOHIS change scores with a global transition judgment by study subjects; (ii) an assessment of the statistical significance of within-group change in scores over time for groups reporting improvement, stability and deterioration; (iii) an estimation of the ECOHIS's sensitivity; and (iv) an investigation the effect size of the ECOHIS. RESULTS: Of the 101 subjects recruited, 94 had full datasets. Their data were used for the analyses reported in this paper. Pre- and post-treatment distributions of ECOHIS scores were strongly distributed towards no oral health impacts. Among the 94 subjects, 51.1% reported improvement, 42.6% reported no change and 6.4% reported deterioration following treatment, using the global transition judgement. The mean ECOHIS change scores for these three groups were -0/9, +0.7 and +6.5 respectively, although none of the within-group changes were statistically significant. The effect size for those reporting improvement was small (0.15) but for those reporting deterioration was moderate-to-large (0.69). Sensitivity ranged from 0.61-0.79 depending on the size of the cut-off point, with a change of 3 points demonstrating the best sensitivity to false positive ratio (0.79 versus 0.41 respectively). CONCLUSION: In this sample with low levels of problems, the ECOHIS has demonstrated some limited ability to respond to change. Further work in a larger sample with higher levels of problems is needed to investigate the instrument's ability to respond to change when it has occurred.

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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)0.004
metaresearch head score (Gemma)0.005
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.121
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0020.000
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 head0.202
GPT teacher head0.435
Teacher spread0.233 · 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 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

Citations65
Published2008
Admission routes2
Has abstractyes

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