China Journal of Oral and Maxillofacial Surgery ›› 2020, Vol. 18 ›› Issue (2): 132-135.doi: 10.19438/j.cjoms.2020.02.008

• Original Articles • Previous Articles     Next Articles

Screening and analysis of preoperative difficulty predictors for autotransplanation of tooth

HUI Xiao-yong1,2, HOU Rui1, XU Guang-jie3, LI Zhi-wen1, YANG Xia1, ZHOU Hong-zhi1, ZHANG Hao4, SHANG Lei4   

  1. 1.State Key Laboratory of Military Stomatology, National Clinical Research Center for Oral Diseases, Shaanxi Clinical Research Center for Oral Diseases, Department of Oral Surgery, School of Stomatology, Air Force Military Medical University. Xi'an 710032, Shaanxi Province;
    2.Guangzhou Sanatorium of PLA Rocket Force. Guangzhou 512000, Guangdong Province;
    3.Eastern Theater Command Naval Hospital. Zhoushan 316000, Zhejiang Province;
    4.Department of Health Statistics of Military Preventive Medicine, Air Force Military Medical University. Xi'an 710032, Shaanxi Province, China
  • Received:2019-05-27 Revised:2019-07-31 Online:2020-03-20 Published:2020-04-30

PDF (PC)

297

Abstract: PURPOSE： The purpose of this study was to design a difficulty prediction scale before autotransplanation of tooth (ATT) which was verified by statistical analysis. METHODS: Based on the literature and clinical experience, all of the possible factors for difficulty prediction before ATT were summarized. Eleven factors with high correlation were screened out and tabulated. The actual difficulty was verified by clinical cases. Statistical analysis was performed to check the reliability and validity of the scale with SPSS 23.0 software package. RESULTS: Data were expressed as follows, Cronbach's alpha (reliability value) was 0.853, Pearson's correlation coefficient (PCCs, content validity value) was 0.745, and Kaiser-Meyer-Olkin (KMO, structural validity value) was 0.704. CONCLUSIONS: The preoperative difficulty prediction scale designed for ATT is reasonable and feasible. It is suitable for residents to make analysis of preoperative difficulty prediction.

Key words: Autotransplanation of tooth, Difficulty prediction, Reliability, Validity

CLC Number: