摘要
目的:设计自体牙移植术前难度预判量表,并进行统计学验证。方法:基于文献支持和临床经验总结,对自体牙移植术前难度预判的可能因素进行统计学分析,筛选出相关性较高的11条因素并编制量表,通过96病例进行实际难度判定。采用SPSS 23.0软件包对量表进行信度和效度检验。结果:对96例病例进行难度预判的结果进行统计学分析,量表检测的克隆巴赫系数(信度值)为0.853,皮尔逊相关系数(内容效度值)为0.745,KMO值(结构效度值)为0.704,以上检验均有统计学意义。结论:所设计自体牙移植术前难度预判量表合理可行,适用于初学者进行术前难度预判分析。
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.
作者
惠小勇
侯锐
许广杰
李志文
杨霞
周宏志
张昊
尚磊
HUI Xiao-yong;HOU Rui;XU Guang-jie;LI Zhi-wen;YANG Xia;ZHOU Hong-zhi;ZHANG Hao;SHANG Lei(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;Guangzhou Sanatorium of PLA Rocket Force,Guangzhou 512000,Guangdong Province;Eastern Theater Command Naval Hospital,Zhoushan 316000,Zhejiang Province;Department of Health Statistics of Military Preventive Medicine,Air Force Military Medical University,Xi'an 710032,Shaanxi Province,China)
出处
《中国口腔颌面外科杂志》
CAS
2020年第2期132-135,共4页
China Journal of Oral and Maxillofacial Surgery
关键词
自体牙移植术
难度预判
信度
效度
Autotransplanation of tooth
Difficulty prediction
Reliability
Validity