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Analysis of dental unit waterlines infection |
ZHAI Yan BAO Ai-qin JIANG Fan LI Yan-hui |
Department of Stomatology,Shenzhen Hospital of Guangzhou University of Chinese Medicine (Futian),Guangdong Province,Shenzhen 518000,China |
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Abstract Objective To explore and analyze the influencing factors of dental unit waterlines(DUWLS).Methods A total of 76 dental chair units (DCU)in 6 general hospitals in Futian District of Shenzhen from June 2018 to December 2019 were selected as the subjects.According to China′s drinking water testing standards,on-site evaluation and hygienic sampling methods were used to determine whether the DUWLS of oral comprehensive treatment units were infected,and they were divided into infected group(n=23)and uninfected group(n=53)according to the water sample test results.The general data of the two groups of DUWLS were recorded,including:installation time,average daily service person times,regular maintenance,cleaning and disinfection after use,water supply source,whether the mobile phone/three-purpose water gun were sucked back,and the influencing factors were analyzed.Results A total of 228 water samples were collected,of which 70 were positive,with an infection rate of 30.70%,and the highest positive rate of effluent from mobile phones was 48.68%.The results of univariate analysis indicated that there were statistically significant differences between the two groups in average daily service visits,regular maintenance,cleaning and disinfection after use,water supply sources,and whether the mobile phone/three-use gun was sucked back (P<0.05).The results of multivariate analysis showed that the average daily service time exceeded 10 people (β=0.692,OR=2.684,95%CI=1.860-3.696),no regular maintenance (β=0.427,OR=2.092,95%CI=1.714-3.172),no cleaning and disinfection after use 95%CI=3.341-8.391),using municipal water source (β=0.246,OR=1.592,95%CI=1.249-2.367),mobile phone/three-purpose gun suck back (β=1.891,OR=6.143,95%CI=4.121-10.461)were the risk factors of DUWLS infection.Conclusion DUWLS infection rate is high,and it is affected by many factors.It is necessary to formulate corresponding intervention measures according to possible influencing factors to reduce the hospital infection rate.
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