An update on the analysis of agreement for orthodontic indices.

نویسندگان

  • Rebecca Brown
  • Stephen Richmond
چکیده

The training of clinicians in the correct use of commonly used orthodontic indices involves calibration. The level of agreement between the trainee and a standard is assessed both as a measure of reproducibility and the success of training programmes. For the Peer Assessment Rating (PAR) index and the Index of Complexity, Outcome and Need (ICON), the recommended level of acceptable inter-rater agreement is no more than +/-12 and +/-18, respectively. Many commonly used methods of analysing this type of agreement are inappropriate. The method used in this investigation allows the calculation of limits of agreement, which easily demonstrate any major departures in agreement between trainee scores and standard scores. The basic method assumes that the differences between trainee and standard scores are normally distributed and that there is no relationship between these differences and the magnitude of the index. An extension to this approach is required when the assumptions of the basic method are not upheld. This extension provides a regression-based approach to calculating limits of agreement. The results of this study demonstrate that the assumptions of the basic approach need to be checked for each comparison of trainee versus standard. In addition, regression-based methods are a more accurate means of calculating limits of agreement when these assumptions are not upheld. They also provide more information about bias and the range of disagreement between raters.

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

[Evaluation of agreement and correlation of three occlusal indices in an assessment of orthodontic treatment need].

BACKGROUND/AIM Occlusal indices are quantitative diagnostic indicators of malocclusion severity, orthodontic treatment need, complexity and outcome. The aim of this study was to determine correlations and agreement among three occlusal indices: the Index of Orthodontic Treatment Need (IOTN), the Peer Assessment Rating Index (PAR) and the Index of Complexity, Outcome and Need (ICON) in evaluatin...

متن کامل

Students’ orthodontic treatment needs and oral-health-related quality of life in Qazvin city, Iran

BACKGROUND AND AIM: Clinical indices that determine the need for orthodontic treatment do not provide information about the impact of malocclusion on the quality of life. The present study was carried out to assess the correlation between the aesthetic component of the Index of Orthodontic Treatment Need (IOTN) and the Child Perception Questionnaire (CPQ11-14) in determining the need for orthod...

متن کامل

Diagnostic agreement in the assessment of orthodontic treatment need using the Dental Aesthetic Index and the Index of Orthodontic Treatment Need.

The aim of this study was to estimate the diagnostic agreement between assessments of orthodontic treatment need of a child population using the Dental Aesthetic Index (DAI) and the Index of Orthodontic Treatment Need (IOTN). A cross-sectional study of a representative random sample of children aged 12 (n = 475) and 15-16 (n = 398) years was carried out in the Valencia region of Spain. A Studen...

متن کامل

A Family of Selective Partial Update Affine Projection Adaptive Filtering Algorithms

In this paper we present a general formalism for the establishment of the family of selective partial update affine projection algorithms (SPU-APA). The SPU-APA, the SPU regularized APA (SPU-R-APA), the SPU partial rank algorithm (SPU-PRA), the SPU binormalized data reusing least mean squares (SPU-BNDR-LMS), and the SPU normalized LMS with orthogonal correction factors (SPU-NLMS-OCF) algorithms...

متن کامل

Decodify® System: Cephalometrics as a risk manager applicative and administrative tool for the orthodontic clinic

Introduction: Cephalometrics may have limited use in orthodontics because of its subjective interpretation. An Artificial Intelligence (AI) system, the Decodify® System, was developed to allow the customized quantitative assessment of contextualized cephalometric data. In this article, the system is tested as an administrative tool in orthodontic offices. Methods: The development of algorithms ...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:
  • European journal of orthodontics

دوره 27 3  شماره 

صفحات  -

تاریخ انتشار 2005