中国口腔颌面外科杂志 ›› 2020, Vol. 18 ›› Issue (2): 132-135.doi: 10.19438/j.cjoms.2020.02.008

• 论著 • 上一篇    下一篇

自体牙移植术前难度预判因素的筛选及分析

惠小勇1,2, 侯锐1,*, 许广杰3, 李志文1, 杨霞1, 周宏志1,*, 张昊4, 尚磊4   

  1. 1.军事口腔医学国家重点实验室,口腔疾病国家临床医学研究中心,陕西省口腔疾病临床医学研究中心, 空军军医大学口腔医院 口腔外科,陕西 西安 710032;
    2.中国人民解放军火箭军广州疗养中心,广东 广州 512000;
    3.中国人民解放军东部战区 海军医院,浙江 舟山 316000;
    4.空军军医大学 军事预防医学系卫生统计学教研室,陕西 西安 710032
  • 收稿日期:2019-05-27 修回日期:2019-07-31 出版日期:2020-03-20 发布日期:2020-04-30
  • 通讯作者: 侯锐,E-mail:hourui@fmmu.edu.cn;周宏志,E-mail:zhouhongzhi@fmmu.edu.cn。*共同通信作者
  • 作者简介:惠小勇(1986-),男,硕士研究生,主治医师,E-mail:274785138@qq.com

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

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。

关键词: 自体牙移植术, 难度预判, 信度, 效度

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

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