ObjectiveTo analyze the status quo, problems and weak points of cleaning compliance in the Intensive Care Unit (ICU), and assess the intervention effects by evaluating the object surface cleaning quality in the ICU. MethodsBetween September 1st and December 1st, 2014, fluorescence marker was used to mark the surfaces of medical instruments and objects in the ward which were supposed to be cleaned by the nursing and cleaning staff. The assessment of cleaning compliance was performed through observing the residual fluorescence. Then, targeted intervention was carried out for situations with a low cleaning compliance. ResultsBefore the intervention, the thorough cleaning rates of medical instruments in the Comprehensive ICU, Neurological ICU (NICU), and Chest ICU were respectively 43.3%, 31.4%, and 23.8%, and the thorough surface cleaning rates for those units in order were 67.1%, 60.5%, and 48.4%, respectively. After the first intervention, the cleaning rate of medical instruments in the Comprehensive ICU was 47.1%, which had no significant change (P=0.345), but the rate in the NICU and Chest ICU reached respectively 65.3% and 35.1%, which was significantly improved (P<0.05). The object surface cleaning rates were 73.3% and 58.1% in the Comprehensive ICU and Chest ICU after the first intervention, and there was no significant difference compared with those before the intervention (P>0.05), but the object surface cleaning rate in the NICU was significantly improved to 85.5% (P<0.05). After the second intervention, the medical equipment cleaning rates were 66.9%, 83.3%, and 57.4%, respectively for those three units, and compared with those before intervention, all the three were significantly improved (P<0.05). The object surface cleaning rates for NICU and Chest ICU were significantly raised to 85.6% and 84.2% (P<0.05), while it was 65.7% in the Comprehensive ICU and was not significantly improved (P=0.767). ConclusionObservation and supervision through a feedback system can raise the cleaning compliance, which is helpful in controlling and preventing nosocomial infection.
ObjectiveTo provide scientific evidence for the prevention and control of infectious diseases in hospitals through analyzing the data of notified infectious diseases collected in one general comprehensive hospital from 2009 to 2014. MethodsDescriptive method was used to analyze the data of infectious diseases reported through the reporting system in 6 years in the hospital, and then the incidence, diseases classification and transmission route were summarized. ResultsA total of 15 847 cases, covering 32 notified infectious diseases, were reported between 2009 and 2014, including 15 144 category-B (95.56%) and 703 category-C (4.44%) infectious disease cases, among which the top four were syphilis, hepatitis B, tuberculosis and acquired immune deficiency syndrome (AIDS), with AIDS showing upward trend year by year. There were also 38 H1N1 cases of emerging infectious disease cases. In the view of the trend, there was an upward trend from 2009 to 2012, while there was a downward trend from 2012 to 2014. There were cases for all age groups, and most cases occurred among patients at an age of 40 to 44, accounting for 11.25% of the total cases. Eighteen occupations were involved, and the top five in terms of the number of infections accounted for 63.96% of all the cases. ConclusionCategory-B infections have been the major diseases reported in our hospital from 2009 to 2014. Therefore, the priority of our job in the future should be focused on prevention and control of syphilis, hepatitis B, tuberculosis and AIDS.
ObjectiveTo explore medical waste management method in a large hospital and strengthen the standardized management of medical waste. MethodsBetween July 2012 and December 2014, according to the PDCA cycle working procedures, existing problems were found in medical waste management through survey, the cause of which was analyzed to formulate and implement a new system of medical waste management, to help carry out employee training and cross examination, and give feedback to clinical departments to make improvements. Then, we analyzed the awareness rate of medical waste-related knowledge among medical staff, accuracy rate of medical waste disposal, average daily medical waste amount before and after the application of PDCA cycle to evaluate the effect of the measures taken. ResultsAwareness rate of medical waste-related knowledge among medical staff (2012:55.59%, 2013:62.89%, 2014:94.43%) increased with statistical significance (χ2=410.871, P<0.001). Accuracy rate of medical waste disposal (2012:69.83%, 2013:87.29%, 2014:94.91%) increased with statistical significance (χ2=197.449, P<0.001). Rank correlation analysis showed that average daily medical waste amount declined as average daily inpatients number increased (rs=?0.590, P<0.001). ConclusionUsing PDCA cycle can improve the awareness rate of medical waste-related knowledge and accuracy among medical staff to achieve continuous quality improvement of medical waste management.
ObjectiveTo carry out targeted surveillance on ventilator-associated pneumonia (VAP) newly defined by the Centers for Disease Control and Prevention of the United States in 2013, and to understand its applicability and influence on the prognosis, and infection rate and risk factors of the disease. MethodsTargeted surveillance was carried out on all patients receiving mechanical ventilation in the general ICU of our hospital between January and December 2014. VAP infection rate was studied, and patients were divided into groups based on the development of the disease. SPSS 18.0 was used for statistical analysis of the prognostic indicators. ResultsA total of 885 patients received mechanical ventilation and were monitored, 31 of whom had VAP. The VAP case infection rate was 3.5% and its daily infection rate was 3.9‰. The results of multiple factors regression analysis showed that age (OR=1.025, P=0.025) and combining other types of hospital infection (OR=4.874, P<0.001) were independent risk factors for the development of VAP. VAP was the independent risk factor for both length of stay in the ICU and length of mechanical ventilation (P<0.001), but it was not the independent risk factor for mortality in the ICU (P=0.515). ConclusionThe applicability of the newly defined ventilator-associated pneumonia may be under restrictions in developing countries. It may influence the outcomes of patients by prolonging the length of stay in ICU and the length of mechanical ventilation.