Literature DB >> 21344304

Examiner performance in calibration exercises compared with field conditions when scoring caries experience.

Jimoh Olubanwo Agbaje1, Timothy Mutsvari, Emmanuel Lesaffre, Dominique Declerck.   

Abstract

The objective of this study was to verify how valid misclassification measurements obtained from a 'pre-survey' calibration exercise are by comparing them to validation scores obtained in 'field' conditions. Validation data were collected from the 'Smile for Life' project, an oral health intervention study in Flemish children. A calibration exercise was organized under 'pre-survey' conditions (32 age-matched children examined by eight examiners and the benchmark scorer). In addition, using a pre-determined sampling scheme blinded to the examiners, the benchmark scorer re-examined between six and 11 children screened by each of the dentists during the survey. Factors influencing sensitivity and specificity for scoring caries experience (CE) were investigated, including examiner, tooth type, surface type, tooth position (upper/lower jaw, right/left side) and validation setting (pre-survey versus field). In order to account for the clustering effect in the data, a generalized estimating equations approach was applied. Sensitivity scores were influenced not only by the calibration setting (lower sensitivity in field conditions, p < 0.01), but also by examiner, tooth type (lower sensitivity in molar teeth, p < 0.01) and tooth position (lower sensitivity in the lower jaw, p < 0.01). Factors influencing specificity were examiner, tooth type (lower specificity in molar teeth, p < 0.01) and surface type (the occlusal surface with a lower specificity than other surfaces) but not the validation setting. Misclassification measurements for scoring CE are influenced by several factors. In this study, the validation setting influenced sensitivity, with lower scores obtained when measuring data validity in 'field' conditions. Results obtained in a pre-survey calibration setting need to be interpreted with caution and do not (always) reflect the actual performance of examiners during the field work.

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Year:  2011        PMID: 21344304     DOI: 10.1007/s00784-011-0523-1

Source DB:  PubMed          Journal:  Clin Oral Investig        ISSN: 1432-6981            Impact factor:   3.573


  17 in total

Review 1.  Measurement, analysis and interpretation of examiner reliability in caries experience surveys: some methodological thoughts.

Authors:  Jimoh Olubanwo Agbaje; Timothy Mutsvari; Emannuel Lesaffre; Dominique Declerck
Journal:  Clin Oral Investig       Date:  2010-10-13       Impact factor: 3.573

2.  Analysis of caries experience taking inter-observer bias and variability into account.

Authors:  E Lesaffre; S M Mwalili; D Declerck
Journal:  J Dent Res       Date:  2004-12       Impact factor: 6.116

3.  The zero-inflated negative binomial regression model with correction for misclassification: an example in caries research.

Authors:  Samuel M Mwalili; Emmanuel Lesaffre; Dominique Declerck
Journal:  Stat Methods Med Res       Date:  2007-08-14       Impact factor: 3.021

4.  British Association for the Study of Community Dentistry (BASCD) guidance on the statistical aspects of training and calibration of examiners for surveys of child dental health. A BASCD coordinated dental epidemiology programme quality standard.

Authors:  C M Pine; N B Pitts; Z J Nugent
Journal:  Community Dent Health       Date:  1997-03       Impact factor: 1.349

5.  Examiner agreement on caries detection and plaque accumulation during dental surveys of elders.

Authors:  P Mojon; P Favre; J P Chung; E Budtz-Jörgensen
Journal:  Gerodontology       Date:  1995-07       Impact factor: 2.980

6.  Validation of a Swiss method of caries prediction in Dutch children.

Authors:  W H Helderman; J Mulder; M A van'T Hof; G J Truin
Journal:  Community Dent Oral Epidemiol       Date:  2001-10       Impact factor: 3.383

7.  Dental caries diagnosis calibration for clinical field surveys.

Authors:  P Cleaton-Jones; J A Hargreaves; L P Fatti; H D Chandler; E S Grossman
Journal:  Caries Res       Date:  1989       Impact factor: 4.056

8.  Factors associated with prevalence and severity of caries experience in preschool children.

Authors:  Dominique Declerck; Roos Leroy; Luc Martens; Emmanuel Lesaffre; Maria-José Garcia-Zattera; Stephan Vanden Broucke; Martine Debyser; Karel Hoppenbrouwers
Journal:  Community Dent Oral Epidemiol       Date:  2008-04       Impact factor: 3.383

9.  Children's oral health in Italy: training and clinical calibration of examiners for the National Pathfinder about caries disease.

Authors:  Paolo Castiglia; Guglielmo Campus; Giuliana Solinas; Carmelo Maida; Laura Strohmenger
Journal:  Oral Health Prev Dent       Date:  2007       Impact factor: 1.256

10.  Examiner consistency and group balance at baseline of a caries clinical trial.

Authors:  S B Heifetz; J A Brunelle; H S Horowitz; G S Leske
Journal:  Community Dent Oral Epidemiol       Date:  1985-04       Impact factor: 3.383

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  3 in total

1.  Assessment of early occlusal caries pre- and post-sealant application--an imaging approach.

Authors:  Jennifer S Holtzman; Jami Ballantine; Margherita Fontana; Alex Wang; Alden Calantog; Erika Benavides; Carlos Gonzalez-Cabezas; Zhongping Chen; Petra Wilder-Smith
Journal:  Lasers Surg Med       Date:  2014-04-11       Impact factor: 4.025

Review 2.  Correction for misclassification of caries experience in the absence of internal validation data.

Authors:  T Mutsvari; D Declerck; E Lesaffre
Journal:  Clin Oral Investig       Date:  2013-05-11       Impact factor: 3.573

3.  Natural history of dental caries in very young Australian children.

Authors:  Mark Gussy; Rosie Ashbolt; Lauren Carpenter; Monica Virgo-Milton; Hanny Calache; Stuart Dashper; Pamela Leong; Andrea de Silva; Alysha de Livera; Julie Simpson; Elizabeth Waters
Journal:  Int J Paediatr Dent       Date:  2015-05-13       Impact factor: 3.455

  3 in total

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