ABSTRACT
Purpose@#The purpose of this study was to provide basic data to understand the organizational culture of nurses by categorizing nurses' experience of coping with bullying in the workplace through Q methodology and analyzing the characteristics of each type, and to induce correct policy measures and interventions to create an atmosphere created in the nursing clinical field to be more advanced and positive. @*Methods@#To form the Q population, focus group interviews were conducted with nurses working for more than six months at two general hospitals in Seoul and Gyeonggi. Interviews were conducted by 12 nurses introduced to participants who can provide researchers with a wealth of information on workplace bullying experiences without filtration. In addition, the Q population was extracted by reviewing the results. Based on the results derived from this, 38 Q statements in total were extracted. Forty clinical nurses were required to classify Q sample statements, and the data collected through this were analyzed using the pc-QUANAL program. @*Results@#As a result of the analysis, a total of five types of clinical nurses' experiences of coping with bullying in the workplace were identified: ‘tense emotion-based tolerance response,’ ‘positive thinking-based self-effort response’, ‘individualistic thinking-based passive response’, ‘support system-based emotional expression response’ and ‘active response centered on problem-solving’. @*Conclusion@#The derived response types are expected to be guidelines for suggesting strategies to eradicate bullying in the workplace at the organizational level, individual level, prevention level, and organizational culture level.
ABSTRACT
The correct identification of filamentous fungi is challenging. We evaluated the performance of the VITEK MS v3.0 system (bioMérieux, Marcy-l’Étoile, France) for the identification of a wide spectrum of clinically relevant filamentous fungi using a Korean collection. Strains that were added to the upgraded v3.2 database were additionally identified by the VITEK MS v3.2 system. Of the 105 tested isolates, including 37 Aspergillus (nine species), 41 dermatophytes (seven species), and 27 other molds (17 species), 43 (41.0%) showed “no identification” or “multiple species identification” results at the initial VITEK MS testing; these isolates were retested using the same method. Compared with sequence-based identification, the correct identification rate using VITEK MS for Aspergillus, dermatophytes, other molds, and total mold isolates was 67.6%, 56.1%, 48.1%, and 58.1% at the initial testing and 94.6%, 78.0%, 55.6%, and 78.1% with retesting, respectively. Following retesting, 19 (18.1%) and two (1.9%) isolates showed “no identification” and “misidentification” results, respectively. VITEK MS reliably identified various filamentous fungi recovered in Korea, with a very low rate of misidentification