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Objective To understand the general self-efficacy level of patients with tuberculosis(TB patients) and its influencing factors, provide evidence for improving the general self-efficacy of TB patients.Methods All TB inpatients in a comprehensive pulmonary hospital were conducted face-to-face survey through a general questionnaire and general self-efficacy scale, self-efficacy level of TB patients and its influencing factors were analyzed.Results Mean scale of general self-efficacy of 402 TB patients was (20.4±4.2), of which only 14 cases(3.5%)showed a high level self-efficacy.163(40.5%), 225(56.0%), and 14(3.5%)patients were with low(10~),medium(20~), and high(30~) self-efficacy scale.The general self-efficacy level of TB patients was influenced by the course of disease(P<0.001), residence(P=0.012), whether or not attended the lecture on tuberculosis education(P=0.034), whether or not conducted physical exercise(P=0.053,stepwise multiple linear regression analysis: P=0.017), working status(P=0.027), No.of hospitalization due to TB(P=0.002), family economic situation(P=0.027), and education level(P=0.020).Conclusion TB patients' self-efficacy level is low, and the general self-efficacy level and its influencing factors should be assessed by health care workers during the follow-up for patients, individualized nursing intervention for improving the TB patients' self-efficacy level should be developed.
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OBJECTIVE@#To realize batch processing of univariate Cox regression analysis for great database by SAS marco program.@*METHODS@#We wrote a SAS macro program, which can filter, integrate, and export P values to Excel by SAS9.2. The program was used for screening survival correlated RNA molecules of ovarian cancer.@*RESULTS@#A SAS marco program could finish the batch processing of univariate Cox regression analysis, the selection and export of the results.@*CONCLUSION@#The SAS macro program has potential applications in reducing the workload of statistical analysis and providing a basis for batch processing of univariate Cox regression analysis.
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Proportional Hazards Models , Regression Analysis , SoftwareABSTRACT
Objective To evaluate the rationality of medication in Pediatric Intensive Care Unit (PICU).Methods The medication of 46 children in PICU of the First Affiliated Hospital of Sun Yat-Sen University with the average age of (34.74 ±45.5) months during May 3, 2011 and December 5, 2011 were retrospectively analyzed.The study was conducted statistically on the basis of pharmacopoeia, medical documents and other related medical materials.Results Among 46 ca-ses, irrational drug use was found in 28 patients (60.87%).A total of 100 irrational drug using habits such as potential drug interactions and incompatibility were presented.Compatibility taboo and pDDIs top four drugs were16 cases of furosemide (16%), 12 cases of vancomycin and dexamethasone (12%), 11 cases of midazolam injection (11%), and 9 cases of Phe-nobarbital (9%).Conclusion According to the characteristics of pediatric medication, pharmacists should take advantage of drug synergy when vigilant about the side effects of multi -medication, especially paying close attention to the potential inter-action of some commonly-prescribed drugs as well as reducing the prescriptions of multi -medications in order to improve the rationality of drug use in PICU.
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Comprehensive evaluation methods are generally used to assess the population data. When we need to estimate the sample data in special situations, the impacts brought by the sampling error should be considered. Due to lack of the accurate measurement for the sensitivity and stability in the comprehensive evaluation methods, sampling errors usually cannot be estimated in the sampling research. Monte Carlo simulation was used in this article to solve the probability of the ordering results, and the matlab programs were presented. Based on the simulated results, we change the conventional “absolute conclusion” of comprehensive evaluation methods to “probability results” for the sample data, and put forward a new sorting and ranking method for the results of comprehensive evaluation.
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OBJECTIVE@#To investigate the infection in spotted fever group Rickettsiae (SFGR) in wild rodents from Heilongjiang, China.@*METHODS@#Polymerase chain reaction (PCR) was used to detect the OmpA gene of SFGR in rodents collected in Heilongjiang. The PCR products amplified from rodent specimens were sequenced and compared with the corresponding part of the sequences deposited in the GenBank. Phylogenetic trees were constructed with Mega 5.0 software.@*RESULTS@#A total of 514 rodents were collected from Heilongjiang during 2009-2011 and 11 species were included. The infection rate of SFGR in the rodents was 9.3% (95% CI: 7.1%-12.2%). Statistical analysis showed a significant difference in different areas of Heilongjiang (P=0.023). The highest prevalence was observed in Mudanjing area (12.42%). There were significant differences in different species of rodents (P=0.002). The infection rate of SFGR determined in Clethrionomys rufocanus was the highest (22.1%). Sequence analysis revealed SFGR belonged to R.heilongjiangensis and a new unknown rickettsia genotype.@*CONCLUSION@#R.heilongjiangensis has been presented in rodents in Heilongjiang, and a new SFGR genotype different from other rickettsiae genotypes may exist in this area.