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New Tb Patient Registration Rate Of Factor Analysis

Posted on:2009-06-09Degree:MasterType:Thesis
Country:ChinaCandidate:X Y RenFull Text:PDF
GTID:2204360245969032Subject:Epidemiology and Health Statistics
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ObjectiveTo explore the influential factors of the registration rate of new tuberculosis, to find out the bottleneck in discovering the new patients of tuberculosis in Shanxi province, and to improve the work ratio in early detection and control about the main infection sources of tuberculosis.MethodsBy analyzing the monthly, seasonally and yearly report forms of tuberculosis control work from 2003 to 2005 in Shanxi province, we collected the discovering situation of new tuberculosis patients each annum. Excel and SPSS11.5 software were used for the statistical analysis.ResultsThe fraction of coverage increased year by year and has reached 100 percent in fourth quarter of 2004 in Shanxi province. The new registration rates of new active tuberculosis patients, Smear-positive pulmonary tuberculosis patients and Smear-negative pulmonary tuberculosis patients have increased year after year. Between 11 cities, these three registration rates have significant differences.The indexes reflecting the ability of detection and diagnosis to tuberculosis patients: the consultation rates have significant differences each year. But there are not significant differences between the proportions of typical patients in the consultation patients.In areas which the traffic is inconvenient, the new registration rate does not have significant differences between typical and non typical tuberculosis patients both in 2003 and 2005, while it has significant differences in 2004. By random analysis of variance, these differences of proportion do not have significant differences each year.The indexes reflecting the abilities of summon and accessibility to suspected tuberculosis patients: the rate of taking X-ray of typical patients is higher than that of non typical patients.In typical patients, this rate has increased year by year, however, the change was not significant,while no changes in non typical patients.The sputum examination rate of typical patients is also higher than that of non typical patients.However, this rate does not have significant changes in typical patients and non typical patients each year.The smear-positive rate of new patients with consultation and sputum examination is higher in typical patients than in non typical patients.In typical tuberculosis patients, this rate is increasing year by yearand it has no significant changes each year.The regression equation analysis: for the new registration rate of new active tuberculosis patients, the regression equation of is Y1=Y2+1.147Y3-0.31. Two independent variables are internalized into the equation, and they are Y2 (new registration rate of Smear-positive pulmonary tuberculosis patients) and Y3 (new registration rate of Smear-negative pulmonary tuberculosis patients). According to the hypothesis test to analysis of variance, the regression equation is proposed (F=412.302, p<0.001) and R~2=0.963; for new registration rate of Smear-positive pulmonary tuberculosis patients, the regression equation is Y2=71.638x5+15.463xl+23.945x7-37.721. Three independent variables are internalized. They are X5 (the sputum-positive rate of typical tuberculosis patients), X1 (consultation rate) and X7 (the sputum examination rate of non typical patients). According to the hypothesis test to analysis of variance, the regression equation is proposed (F=43.945, p<0.001) and R~2=0.801. The standardized partial regression coefficient (X5, X1 and X7 to Y2) is 0.640, 0.694 and 0.291 respectively; the regression equation of new registration rate of new Smear-negative tuberculosis patients is Y3=9.235xl+15.318x7-0.985. Two independent variables are internalized. They are X1 (consultation rate) and X7 (the sputum examination rate of non typical patients), respectively. According to the hypothesis test to analysis of variance, the regression equation is proposed (F=7.058, p=0.003) and R~2=0.275. The standardized partial regression coefficient (X1 and X7 to Y3) is 0.539 and 0.242.ConclusionWith expanding of the fraction of coverage of DOTS project, the levels of finding new tuberculosis patients are increasing year after year. However, there are still big differences in different areas.Sputum examination is an important way to find new tuberculosis patients. For the detections of infection sources, the findings of smear-positive patients have a little larger influence than the findings of smear-negative patients. This suggests that findings of smear-positive and smear-negative should be our working emphasis for the detection of infection sources.Both consultation rates and sputum examination rates of non typical patients are important influential factors for the findings of smear-positive and smear-negative patients. Meanwhile, to the findings of smear-positive patients, the sputum positive rate of typical tuberculosis patients is also important.This shows that the consultation rates, spectum examination rates of non typical patients and spectum positive rates of typical tuberculosis patients are the main restrictive factors in finding and registration of new tuberculosis patients in Shanxi provinces. So it will be helpful to the detection of new tuberculosis patients by the increasing of these three rates. For the prevention and treatment work of tuberculosis, the urgent affair should be to improve the awareness on tuberculosis prevention, the abilities of summon and accessibility to suspected tuberculosis patients, the professional qualities and the diagnostic ability of personnel.
Keywords/Search Tags:pulmonary tuberculosis, registration rate, association factors, linear regression
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