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Abstract：
OBJECTIVE: To investigate the status and related factors of sterilizers in dental health-care settings in Yunnan Province, with the aim of providing a theoretical basis for the health administrative department to formulate regional quality control programs and systems, proposing reasonable suggestions for optimizing the allocation of sterilizer resources in Yunnan\'s dental health-care settings, thereby improving resource utilization efficiency.
METHODS: This cross-sectional survey was conducted in 2600 dental health-care settings in Yunnan Province in March 2020. Uni-variable linear regression, multi-variable linear regression, curve fitting and threshold effect analysis were used to understand the relationship between dental units and sterilizers.
RESULTS: A total of 2600 dental health-care settings were included. The disinfection and sterilization work were mainly completed by the dental department in 1510(58.1%) institutions. 44(1.7%) institutions were not allocated sterilization equipment, and 1632 (62.8%) had only one sterilizer. The median allocation of sterilizers was 1.0. Uni-variable linear regression showed significant differences in covariates such as dental unit, dental handpiece, disinfection equipment, dentist, and dental assistant, which were more sensitive (p < 0.001) and statistically significant. The adjusted model was more stable in the multi-variable linear regression, and the differences in covariates between different settings were statistically significant. Curve fitting revealed an S-shaped curvilinear relationship between the number of dental units and sterilizers in oral healthcare settings.
CONCLUSIONS: The disinfection and sterilization work was mainly completed by the dental department in dental health-care settings in Yunnan Province. Sterilizer allocation increases with the number of dental units, but some institutions have insufficient allocation of sterilizer and manpower resources, resulting in certain risks of infection control. Thus, it is necessary to strengthen supervision, inspection and regional quality control work in infection control of dentistry.
METHODS: This cross-sectional survey was conducted in 2600 dental health-care settings in Yunnan Province in March 2020. Uni-variable linear regression, multi-variable linear regression, curve fitting and threshold effect analysis were used to understand the relationship between dental units and sterilizers.
RESULTS: A total of 2600 dental health-care settings were included. The disinfection and sterilization work were mainly completed by the dental department in 1510(58.1%) institutions. 44(1.7%) institutions were not allocated sterilization equipment, and 1632 (62.8%) had only one sterilizer. The median allocation of sterilizers was 1.0. Uni-variable linear regression showed significant differences in covariates such as dental unit, dental handpiece, disinfection equipment, dentist, and dental assistant, which were more sensitive (p < 0.001) and statistically significant. The adjusted model was more stable in the multi-variable linear regression, and the differences in covariates between different settings were statistically significant. Curve fitting revealed an S-shaped curvilinear relationship between the number of dental units and sterilizers in oral healthcare settings.
CONCLUSIONS: The disinfection and sterilization work was mainly completed by the dental department in dental health-care settings in Yunnan Province. Sterilizer allocation increases with the number of dental units, but some institutions have insufficient allocation of sterilizer and manpower resources, resulting in certain risks of infection control. Thus, it is necessary to strengthen supervision, inspection and regional quality control work in infection control of dentistry.
摘要：
目的：了解云南省口腔医疗机构消毒灭菌的现状及其影响因素。旨在为卫生行政部门制定区域质量控制方案和体系提供理论依据，为优化云南口腔医疗机构的灭菌器资源配置提出合理化建议,从而提高资源利用效率。
方法：这项横断面调查于2020年3月在云南省2600个牙科医疗机构进行。单变量线性回归，多元线性回归，曲线拟合和阈值效应分析用于了解牙科单位和消毒器之间的关系。
结果：共纳入2600个牙科保健机构。消毒灭菌工作主要由牙科在1510家(58.1%)机构完成。44家(1.7%)机构未分配灭菌设备，1632（62.8％）只有一个灭菌器。灭菌器的分配中位数为1.0。单变量线性回归显示协变量如牙科单位，牙科手机，消毒设备,牙医,牙科助理,更敏感(p<0.001)，有统计学意义。调整后的模型在多变量线性回归中更稳定，不同设置之间的协变量差异有统计学意义。曲线拟合揭示了口腔医疗保健环境中牙科单元和消毒器数量之间的S形曲线关系。
结论：云南省口腔医疗机构的消毒灭菌工作主要由牙科科完成。灭菌器分配随着牙科单位数量的增加而增加，但是一些机构的消毒器和人力资源配置不足，导致感染控制的某些风险。因此，有必要加强监督，口腔感染控制中的检查和区域质量控制工作。
方法：这项横断面调查于2020年3月在云南省2600个牙科医疗机构进行。单变量线性回归，多元线性回归，曲线拟合和阈值效应分析用于了解牙科单位和消毒器之间的关系。
结果：共纳入2600个牙科保健机构。消毒灭菌工作主要由牙科在1510家(58.1%)机构完成。44家(1.7%)机构未分配灭菌设备，1632（62.8％）只有一个灭菌器。灭菌器的分配中位数为1.0。单变量线性回归显示协变量如牙科单位，牙科手机，消毒设备,牙医,牙科助理,更敏感(p<0.001)，有统计学意义。调整后的模型在多变量线性回归中更稳定，不同设置之间的协变量差异有统计学意义。曲线拟合揭示了口腔医疗保健环境中牙科单元和消毒器数量之间的S形曲线关系。
结论：云南省口腔医疗机构的消毒灭菌工作主要由牙科科完成。灭菌器分配随着牙科单位数量的增加而增加，但是一些机构的消毒器和人力资源配置不足，导致感染控制的某些风险。因此，有必要加强监督，口腔感染控制中的检查和区域质量控制工作。
