Àá½Ã¸¸ ±â´Ù·Á ÁÖ¼¼¿ä. ·ÎµùÁßÀÔ´Ï´Ù.

Ϣ˷ãûÚ¸ò¦â¦ÀÇ ðàÞÛíºÊà ìéöÈÓø

Interexaminer agreement of DAI by percent, Pearson¢¥s correlation and kappa.

´ëÇѱ¸°­º¸°ÇÇÐȸÁö 1996³â 20±Ç 4È£ p.569 ~ 578
Àå±â¿Ï, Á¶Ã¶È£, °­µ¿È£,
¼Ò¼Ó »ó¼¼Á¤º¸
Àå±â¿Ï (  ) - ÀüºÏ´ëÇб³ Ä¡°ú´ëÇÐ ¿¹¹æÄ¡Çб³½Ç
Á¶Ã¶È£ (  ) - ÀüºÏ´ëÇб³ Ä¡°ú´ëÇÐ ¿¹¹æÄ¡Çб³½Ç
°­µ¿È£ (  ) - ÀüºÏ´ëÇб³ Ä¡°ú´ëÇÐ ¿¹¹æÄ¡Çб³½Ç

Abstract


The purpose of this study was to evaluate the interexaminer difference of DAI The author examined 206 persons of 12 year-old Korean Adolescent in order to prepare the DATA BASE about DAI. The sample was composed according to the
¢¥pathfinder survey¢¥ of WHO recommendation. As the distribution of total Korean population, one third of the sample was selected from Seoul -the capital city of Korea- having the population of 12 million people , second third of that from Chonju-si having the population of 520 thousand people, the last third of that from rural village 206 persons was presenting about 189,000 students. The alginate impression was taken and the study model was made. By the 2 examiners of dentists, these models were evaluated from 10 components of DAL The 10 components of indices of DAI by Jenny and Cons was calculated, put to the personal computer and analyzed by SPSS/PC+ (Version 3.0). We investigated the inter-examiner agreement by percent, Pearson¢¥s Correlation and Kappa.
The results showed that,
a) Percent agreement of individual DAI, according to 4 groups centered by the need of malocclusion treatment by jenny and Cons, was 62.69%, b) Kappa statistics of that was 0.476, the moderate level,

c) the correlation coefficients of 10 diagnostic components by 2 examiner was ranged from 0.44 to 0.81 (P < 0.001)
d) as 4 diagnostic components of DAI, the Missing Visible Teeth, the Diastema, the Anterior Mandibular Overjet, adn the Vertical Anterior Openbite were showed highly agreement more than 90 percent
e) as 3 diagnostic components of DAI, the Crowding in the Incisal Segments of the Arch, the Largest Anterior Irregularity on the Upper Arch, and the Anterior Maxillary Overjet were showed low percent agreement less than 50%, and showed low Kappa statistics less than 0.4.
We concluded that the Crowding in the Incisal Segments of the Arch, the Largest Anterior Irregularity on the Upper Arch, and the Anterior Maxillary Overjet needed intensive consideration during the calibration training of DAI.

Å°¿öµå

±¸°­½É¹ÌÁö¼ö;ÀÏÄ¡µµ;½Å·Úµµ;DAI;Kappa statistics

¿ø¹® ¹× ¸µÅ©¾Æ¿ô Á¤º¸

 

µîÀçÀú³Î Á¤º¸

KCI
KoreaMed