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Scientific Section |
Department of Dental Health and Development, University Dental Hospital NHS Trust, Heath Park, Cardiff CF4 4XY, U.K.
Abstract
This paper is based on the winning submission for the 1998 Chapman prize awarded by the British Orthodontic Society for an essay on a subject promoting the interests of orthodontics. The aim of the investigation is to develop a single index for assessing treatment inputs and outcomes. An international panel of 97 orthodontists gave subjective judgements on the need for treatment, treatment complexity, treatment improvement, and acceptability on a diverse sample of 240 initial and 98 treated study models. The occlusal traits in the study models were scored according to a defined numerical protocol. Five highly predictive occlusal traits were identified (IOTN Aesthetic Component, crossbite, upper arch crowding/ spacing, buccal segment antero-posterior relationships, and anterior vertical relationship) and then used to predict the panellist's decisions using regression analysis. Cut-off values were determined for the dichotomous judgements by plotting specificity sensitivity and overall accuracy. Twenty percentile ranges were used to determine 5 grades of complexity and improvement. The index prediction of decisions for treatment need, had specificity 844 per cent, sensitivity 852 per cent, and overall accuracy 85 per cent. When used to predict treatment outcomes, the new index had specificity 648 per cent, sensitivity 701 per cent, and overall accuracy 681 per cent. The index could explain 756 per cent of the variance in the mean casewise complexity score and 635 per cent of the mean casewise improvement score. A new orthodontic index is proposed to assess treatment need, complexity, and outcome. It is based on international orthodontic opinion.
Key words: Icon, Occlusal Index, Orthodontics
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