Purpose: This study aimed to identify relationships between compassion fatigue, burnout, and turnover intention in Korean hospital nurses. Methods: In total, 142 hospital nurses were surveyed as part of data collection. Data related to compassion fatigue, burnout, and turnover intention were collected using a questionnaire between May 2011 and September 2011. The data analysis was performed using PASW 19.0 program, which included one-way ANOVA, independent t-tests, Pearson's correlation coefficient, and hierarchical regression analysis. Results: This study detected a positive correlation between compassion fatigue and burnout(r= .37, p< .001), and turnover intention(r= .55, p< .001). Compassion fatigue accounted for 29.6% of the variance for turnover intention among Korean hospital nurses. Conclusion: The results indicate that it is necessary to reduce compassion fatigue, and turnover intention among Korean hospital nurses.

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We evaluated high-resolution melting (HRM) curve analysis as a tool for detecting rifampin (RIF) and isoniazid (INH) resistance in Mycobacterium tuberculosis in an accurate, affordable, and rapid manner. Two hundred seventeen M. tuberculosis clinical isolates of known resistance phenotype were used. Twenty-nine known rpoB mutant DNAs, including rare mutations, were also included. Four pairs of primers were designed: rpoB-F/R (for codons 516 to 539 of rpoB), rpoB-516F/R (for codons 508 to 536 of rpoB), katG-F/R (for the codon 315 region of katG), and inhA-F/R (for the nucleotide substitution of C to T at position ؊15 of inhA). An HRM curve was generated for each isolate after real-time PCR differentiated the mutant from the wild-type strains. DNA sequencing of the target regions was performed to confirm the results of the HRM curve analysis. All but one of the 73 RIF-resistant (RIF-R) strains and all 124 RIF-susceptible (RIF-S) isolates were correctly identified by HRM curve analysis of rpoB. Twenty-seven of 29 known rpoB mutants were detected. In HRM curve analysis of katG and inhA, 90 INH-R strains that harbored katG or inhA mutations, or both, and all INH-S strains were correctly identified. Ten phenotypically INH-R strains not harboring katG or inhA mutations were not detected. The HRM curve analysis will be a useful method for detection of RIF and INH resistance in M. tuberculosis in a rapid, accurate, simple, and cost-effective manner.The rates of mortality and morbidity from tuberculosis (TB) remain high, despite intense worldwide efforts. One of the major factors sustaining the current TB epidemic is the increasing drug resistance of Mycobacterium tuberculosis strains (2). In the early 1990s, multidrug-resistant (MDR) TB cases that were resistant to at least rifampin (RIF) plus isoniazid (INH) arose (6). When the frequency and distribution of extensively drug-resistant (XDR) TB cases were assessed in 2004 by the U.S. Centers for Disease Control and Prevention and the World Health Organization, several cases of drug-resistant tuberculosis consistent with an XDR phenotype were found (7). This study revealed that 20% of the isolates met the MDR criteria; 2% of those were classifiable as XDR; and 4%, 15%, and 19% of the XDR TB cases were from the United States, South Korea, and Latvia, respectively (7). Thus, it is crucial that rapid drug susceptibility tests be developed to prevent the spread of MDR and XDR TB.Although drug susceptibility testing (DST) is a prerequisite for accurate results, such testing requires much time and labor (3). Therefore, several molecular techniques have been applied to detect mutations related to drug resistance (5, 10). Resistance to RIF and INH, the mainstays of antituberculosis treatment, is mainly attributable to mutations in genes encoding the drug target or drug-converting enzymes (8). Early studies demonstrated that 95% of the resistance to RIF is associated with mutation of the RIF resistance-determining region of rpoB, whereas mutations in katG and the regulatory zone of...

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This study investigated the prevailing rate of depression in female marriage immigrants in Korea and the predictive factors of their rates of depression. The study included 316 foreign female marriage immigrant participants. Four instruments yielded the data: the Center for Epidemiologic Studies Depression Scale and Multidimensional Scale of Perceived Social Support and questionnaires regarding the participants' Korean language ability and demographic data. The survey scales were translated into Korean, Vietnamese, Chinese, and English. The data collection was conducted by a face-to-face interview and translators were used when needed. The female marriage immigrants were found to have higher depression rates than women in the general Korean population. The predictive factors of depression for the female marriage immigrants included their country of origin, Korean speaking ability, and family support. Far more depression was found to occur in the Chinese participants, while the rate of depression was lower in those with competent Korean speaking ability and family support. An exploration of strategies to improve the speaking ability and family support of female marriage immigrants will be necessary in order to decrease their incidence of depression and the strategies should be differentiated based on the female marriage immigrants' country of origin.