RESUMO
Objective@#To investigate the sleep quality of the employed nurses in three grade A tertiary military hospitals in Beijing, China and its influential factors and to provide a reference for improving the sleep quality of employed nurses.@*Methods@#From January 2014 to January 2017, a questionnaire survey was carried out to investigate the sleep quality of 253 employed nurses in three grade A tertiary military hospitals in Beijing, China using the Pittsburgh Sleep Quality Index (PSQI) and a general status questionnaire. The results were compared with the adult norms to analyze the influential factors for sleep quality of the employed nurses.@*Results@#The global PSQI score of the 253 employed nurses was 7.76 ± 3.53. Their global PSQI score and PSQI component scores were significantly higher than the adults norms (P<0.05) . And 54.94% of the employed nurses had poor sleep quality; they had high scores of daytime dysfunction (1.39±0.83) , sleep latency (1.67±0.94) , sleep quality (1.33±0.88) , and sleep time (1.23±0.78) . The one-way analysis of variance showed that the sleep quality of the employed nurses was associated with nursing age, educational background, professional title, whether to have children, frequency of night shifts, and department (P<0.05) . The multivariate logistic regression analysis showed that the risk factors for sleep quality of the employed nurses were technical secondary school education (OR=4.292) and emergency department and intensive care unit (OR=2.582) ; the protective factors for sleep quality of the employed nurses were outpatient department and assistant department (OR=0.312) , no children (OR=0.318) , and no night shift (OR=0.332) .@*Conclusion@#The employed nurses in military hospitals have poorer sleep quality than the normal adults. The influential factors for sleep quality of employed nurses are educational background, department, whether to have children, and frequency of night shifts.
RESUMO
Objective To survey the bacterial species and drug resistance of bacteria isolated from blood, urine and other samples in 12 military hospitals located at different areas in China. Methods A total of 1099 non-repetitive bacterial isolates were collected from 12 military hospitals and sent to the General Hospital of PLA for re-identification and drug susceptibility test. The minimal inhibitory concentrations (MICs) of antimicrobial agents were determined by agar dilution method. The results were evaluated according to the standards of CLSI (2007) and analyzed by WHONET 5.4 software. ESBLs, AmpC ?-lactamases were detected using the confirmatory test and APB discs method, respectively. Results Gram positive cocci and gram negative bacilli constituted 39.7% and 60.3% of 1099 clinical isolates respectively. Methicillin-resistant Staphylococcus aureus (MRSA) accounted for 62%, and methicillin-resistant coagulase negative Staphylococcus (MRSCN) accounted for 92%. ESBLs-producing and AmpC-producing strains of Escherichia coli accounted for 51.1% and 11.3%, respectively, and of Klebsiella pneumoniae accounted for 45.1% and 16.2%, respectively. As to caftazidime, amikacin, cefotaxime, cefoxitin and levofloxacin, the resistance rate in Escherichia coli (E. coli) and Klebsiella pneumoniae isolated from blood was lower than that isolated from urine. However, as to meropenem, ceftazidime, polymyxin and minocyclin, the resistance rate in Pseudomonas aeruginosa and Acinetobacter spp isolated from blood was higher than that isolated from urine. Conclusion MRSA, MRSCN, and producers of ESBLs and AmpC ?-lactamases are common in military hospitals. Resistance pattern of bacteria from blood differs from that of bacteria from urine. It is necessary for military hospitals to take the bacterial distribution and resistance levels to antimicrobial agents under surveillance in order to guide the proper use of antibiotics for military doctors, and the results may serve as guidelines in the use of antimicrobial agents in war time.