| Object i ve This paper, with the present situation and factors of the nosocomial infection in a orthopedic hospital studied, puts forward prevention and control measures to reduce the possibility and time of hospitalization as well as the economic cost.Methods The patients with nosocomial infection from January1,2009to December31,2010were analyzed retrospectively.1:1matching with the control group was performed from the aspects of the department, triage, gender, age and110pairs of patients were selected as the subject. The influence of nosocomial infection on the hospitalization cost and length were analyzed. With SPSS13.0software, chi-square test was used for the comparison of the ratio, and wilcoxon test for the economic cost.Results There were26,546man-time through the duration, of which,709patients suffered from nosocomial infection with the rate of2.67%, and735cases from the infection with the rate of2.77%. Of all the16,565male subjects,454ones had nosocomial infection with the infection rate of2.80%, and for the9,981female subjects, the number was245and the rate was2.45%. There was no statistical significance between the male and the female (P=0.092). The ages of the nosocomial infection patients were from2to97, and there was statistical significance between the patients with different ages (χ2=535.979,P=0.000).It’s not statistically significant between different seasons (χ2=7.504,P=0.057).The infection sites were mainly confined in the operation site and LRT.707cases could be made clear of the date of infection, and33.24%of the cases were infected during the seven days after hospitalization. There was no statistical significance between the patients with different hospital lengths (χ2=2036.993,P=0.000).The infection rate came to the peak for the patients in ICU, and there was statistical significance between the departments (χ2=1629.926,P=0.000). For nosocomial infection, aging and chronic diseases were main predisposing factors, and foreign body implantation and urethral catheterization were the main pathogenic operations. Of all the pathogenic bacteria, there were480ones of Gram-negative bacteria accounting for the rate of60.38%,281ones of Gram-positive bacteria for the rate of60.38%,34ones of fungi for the rate of4.28%. As for the median hospitalization fees, it’s Yuan44497.81for the infection group and Yuan35272.15for the control group, which are statistically different (P=0.000). For the median hospitalization length, it’s38.5days for the infection group and20days for the control group, which are statistically different (P=0.000). From the aspect of fee, there was statistical significance between the two groups with different infection sites of LRT, operation site, UT and hematological system, and it’s on the contrary for the GIT, URT and skin soft tissue. From the aspect of hospitalization length, URT, GIT and skin soft tissue were not statistically significant for hospitalization length, and the other sites were on the contrary. The fees were increased to the peak of Yuan46734.59for spine infection patients, and there was statistical significance between different departments. Except joint surgery department, the hospitalization lengths of the patients from other departments were longer than those of the control group, and the difference was statistically significant.Conclusion Firstly, The influence factors for nosocomial infection include age, basic diseases, invasive operation, hospitalization length, abused antibiotics. Secondly, nosocomial infection can make the economic cost and hospitalization length increased, and the rate of the beds and availability of medical resources decreased. The monitoring of nosocomial infection may result in great economic and social benefits. |
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