目的了解广东省各级医疗机构消毒监测质量,探讨消毒监测中存在的问题,加强医院感染监控力度。方法收集2005-2007年广东省疾病预防控制机构按照统一的技术方案对医疗机构进行消毒质量监测的数据,并用SPSS统计软件进行分析。通过对不同监测项目的监测结果进行分析,发现医疗机构消毒质量存在的问题。结果2005-2007年全省医疗机构消毒监测样品总数依次为142 969、140 014、161 991份,合格率依次为91.10%、90.71%、91.22%,总合格率为91.02%。3年的合格率比较差异无统计学意义(χ2=1.644,P>0.05)。3年间市、县、镇三级医疗机构的消毒质量监测合格率依次为93.59%、93.94%、89.34%,有统计学意义,呈市、县级别的合格率均比镇级高的趋势。监测项目中,以使用中消毒液的合格率97.62%为最高,其次为压力蒸汽灭菌效果95.98%和灭菌医疗用品95.63%。医务人员手合格率为90.67%,空气中细菌含量的合格率最低,仅为73.25%。经比较各类监测项目的合格率差异有统计学意义(χ2=36768.34,P<0.05)。结论在不同级别的医疗机构消毒监测侧重点应有所不同,镇以下医疗机构是今后消毒监测工作的重点。 Objective To understand the quality of disinfection monitoring of medical institutions at all levels in Guangdong Province, explore the problems in disinfection monitoring and strengthen the monitoring of hospital infection. Methods Data collected from Guangdong CDC on disinfection quality monitoring of medical institutions in 2005-2007 were collected and analyzed by SPSS statistical software. By analyzing the monitoring results of different monitoring items, we found the problems existed in the quality of disinfection in medical institutions. Results From 2005 to 2007, the total number of disinfection monitoring samples of medical institutions in the province was 142 969,140 014,161 991, with the pass rates of 91.10%, 90.71% and 91.22% in turn, with a total pass rate of 91.02%. There was no significant difference in passing rate in 3 years (χ2 = 1.644, P> 0.05). In three years, the qualified rate of disinfection quality monitoring of medical institutions in cities, counties and townships was 93.59%, 93.94% and 89.34%, respectively, with statistical significance, indicating that the passing rates of cities and counties were higher than that of townships. In the monitoring project, the highest pass rate of disinfectant in use was 97.62%, followed by 95.98% of steam sterilization and 95.63% of sterile medical supplies. Medical staff pass rate of 90.67%, the lowest rate of bacterial contamination in the air, only 73.25%. After comparing the various types of monitoring project pass rate difference was statistically significant (χ2 = 36768.34, P <0.05). Conclusion At different levels of medical institutions disinfection monitoring focus should be different, the following medical institutions in the town is the focus of future disinfection monitoring.