| Nosocomial infection has becoming the predominance problem in the medicalsafety. It is very difficult to control once NI happens, it will influence the prognosisand turnover and take great economy burden to patients. So it is very important tomonitoring NI and to strengthen the preventing of NI.Hospital infection monitoring includes the prevalence and incidence monitoringof infection. To date, the prevalence monitoring of hospital infection is undertaking bythe methods of bedside consultation and case investigation on selected day. Theinvestigation table was filled to get the prevalence of hospital infection. The real rateof the hand-made investigation is usually lower than100%, which can onlyinvestigate the infected patients during the period whereas the undiagnosed infectionis often been neglected. Hand-made investigation can’t reflect the real condition ofhospital infection in the hospital.The prevalence of hospital infection in the multiple center hospital in Beijing wasconducted based on the real-time monitoring system of hospital infection which iswell jointed with the information database of that hospital. The clinical data of all theinpatients can be well monitored to get the real reflection of infection condition. Forthe delayed diagnosis of the infection, the system can adjust the sending time of thesamples or the occurrence time of the symptoms to get the results of investigationmore accurate. In our study, we collected the day prevalence of hospital infectionfrom2010to2012to undertake the continuous investigation firstly in China. All of369166inpatients were real time monitored by the new system.It showed the number of the inpatients were influence by the festival holiday, thelonger holiday, the lower inpatient number, especially during the spring festival andnational day. The inpatient number of every Thursday was the most, showing inverse U distribution. The average number of the inpatients was relatively steady in the threeyears. The prevalence rate of the hospital was5.37%in the three years. It fluctuatesbetween3.78%and14.78%, which consistent with correlated reports except springfestival and National Day. The prevalence rate per day cycling by year, gets thehighest in the spring festival, and gets the second highest in the National Day. Theprevalence rate per month is higher in July August and September. And it shows Udistribution in a week, with the lowest on the Thursday.Depends on the changes in the year, the date of investigation should be get out ofthe holiday. Multiple linear regression analysis, ARIMA model and BP net modelwere used to predict the prevalence rate in the January and February. And the RBF netModel gives the best result.The findings of the investigation show that the prevalence rate in haematology is3.76times of that in the whole hospital. To enhance the NI preventing and controlling,it takes the patients with hematologic diseases as an example to do the research.5555patients were collected with712infected. The nosocomial infection rate is12.82%.Among them2731patients got the non-hodgkin lymphoma, which took the49.16percent. The acute leukemia patients get the highest NI rate. The correlation factorswere classified as patient-self factors and iatrogenic factors. The multiplicity analysisresults show that age, the type of statistical significance, community infection,agranulocytosis, nephropathy, nephrosis, pulmonary disease, hospital day, usedvenous cannula, chemotherapy, used cortical hormone, used immunosuppressiveagents and used antibiotics.The study used the Logistic regression model and BP net model to diagnose NI ofthe patients. The accurate of BP net model. was82.49%, which was higher than theaccurate of Logistic regression model(74.13%). The results shows that the BP netmodel had better fitting ability than the former, but the effect of extend is lower thanthe Logistic regression model. |
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