1.Influence of Resilience and Anger Expression Style on Nursing Work Performance in Emergency Nurses
Insun JANG ; Sujung LEE ; Ahrang SONG ; Youngji KIM
Korean Journal of Occupational Health Nursing 2018;27(4):247-256
PURPOSE: This study aimed to identify the influence of nurses' resilience and anger expression styles on their nursing work performance in emergency departments. METHODS: The study included 107 nurses from 5 hospitals in Seoul and Gyeonggi-do who consented to participate. Data ware collected from March to April 2016. Multiple regression analysis was used to identify factors influencing nurses' performance. RESULTS: Nurses' performance was higher when resilience was high and anger expression was low. The result of the multiple regression indicated that present working years in the emergency room, work satisfaction, anger expression, anger control, and resilience predicted 39.4%(F=7.27, p < .001) of the nursing performance of hospital nurses in emergency departments. The most powerful predictor was resilience (β=.45, p < .001), followed by anger-out (β=−.25, p=.006). CONCLUSION: This study showed that the most influential variables of work performance in emergency nurses ware resilience and anger expression. To enhance the nursing performance of hospital nurses in emergency departments, it is necessary to develop and implement mentorship programs that enhance resilience and educational programs that help them manage their anger.
Anger
;
Emergencies
;
Emergency Service, Hospital
;
Gyeonggi-do
;
Humans
;
Job Satisfaction
;
Mentors
;
Nursing
;
Seoul
;
Work Performance
2.Influence of Resilience and Anger Expression Style on Nursing Work Performance in Emergency Nurses
Insun JANG ; Sujung LEE ; Ahrang SONG ; Youngji KIM
Korean Journal of Occupational Health Nursing 2018;27(4):247-256
PURPOSE:
This study aimed to identify the influence of nurses' resilience and anger expression styles on their nursing work performance in emergency departments.
METHODS:
The study included 107 nurses from 5 hospitals in Seoul and Gyeonggi-do who consented to participate. Data ware collected from March to April 2016. Multiple regression analysis was used to identify factors influencing nurses' performance.
RESULTS:
Nurses' performance was higher when resilience was high and anger expression was low. The result of the multiple regression indicated that present working years in the emergency room, work satisfaction, anger expression, anger control, and resilience predicted 39.4%(F=7.27, p < .001) of the nursing performance of hospital nurses in emergency departments. The most powerful predictor was resilience (β=.45, p < .001), followed by anger-out (β=−.25, p=.006).
CONCLUSION
This study showed that the most influential variables of work performance in emergency nurses ware resilience and anger expression. To enhance the nursing performance of hospital nurses in emergency departments, it is necessary to develop and implement mentorship programs that enhance resilience and educational programs that help them manage their anger.
3.Air and Environmental Contamination Caused by COVID-19 Patients: a MultiCenter Study
Uh Jin KIM ; Seung Yeob LEE ; Ji Yeon LEE ; Ahrang LEE ; Seung Eun KIM ; Ok-Ja CHOI ; Ji Suk LEE ; Seung-Jung KEE ; Hee-Chang JANG
Journal of Korean Medical Science 2020;35(37):e332-
Background:
The purpose of this study was to determine the extent of air and surface contamination of severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) in four health care facilities with hospitalized coronavirus disease 2019 (COVID-19) patients.
Methods:
We investigated air and environmental contamination in the rooms of eight COVID-19 patients in four hospitals. Some patients were in negative-pressure rooms, and others were not. None had undergone aerosol-generating procedures. On days 0, 3, 5, and 7 of hospitalization, the surfaces in the rooms and anterooms were swabbed, and air samples were collected 2 m from the patient and from the anterooms.
Results:
All 52 air samples were negative for SARS-CoV-2 RNA. Widespread surface contamination of SARS-CoV-2 RNA was observed. In total, 89 of 320 (27%) environmental surface samples were positive for SARS-CoV-2 RNA. Surface contamination of SARSCoV-2 RNA was common in rooms without surface disinfection and in rooms sprayed with disinfectant twice a day. However, SARS-CoV-2 RNA was not detected in a room cleaned with disinfectant wipes on a regular basis.
Conclusion
Our data suggest that remote (> 2 m) airborne transmission of SARS-CoV-2 from hospitalized COVID-19 patients is uncommon when aerosol-generating procedures have not been performed. Surface contamination was widespread, except in a room routinely cleaned with disinfectant wipes.
4.Viral Load Kinetics of SARS-CoV-2Infection in Saliva in Korean Patients:a Prospective Multi-center Comparative Study
Seong Eun KIM ; Ji Yeon LEE ; Ahrang LEE ; Soosung KIM ; Kyung-Hwa PARK ; Sook-In JUNG ; Seung-Ji KANG ; Tae Hoon OH ; Uh Jin KIM ; Seung Yeob LEE ; Seung-Jung KEE ; Hee-Chang JANG
Journal of Korean Medical Science 2020;35(31):e287-
Background:
This study was performed to compare the viral load and kinetics of severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) in saliva with those in standard nasopharyngeal/oropharyngeal (NP/OP) swabs.
Methods:
Fifteen patients with SARS-CoV-2 infection from four hospitals were prospectively enrolled and matched samples of nasopharyngeal/oropharyngeal swabs and saliva were collected at Day 1 of admission and every other day till consequently negative for two times. Real-time reverse transcription polymerase chain reaction (rRT-PCR) was performed to detect the envelope (E) and RNA-dependent RNA polymerase (RdRP) genes.
Results:
The cycle threshold values of saliva were comparable to those of NP/OP swabs overall (P = 0.720, Mann–Whitney U test). However, the overall sensitivity of rRT-PCR using saliva was 64% (34/53), which is lower than the 77% (41/53) using NP/OP swabs. The sensitivity of rRT-PCR using saliva was especially lower in early stage of symptom onset (1–5 days; 8/15; 53%) and in patients who did not have sputum (12/22; 55%).
Conclusion
Saliva sample itself is not appropriate for initial diagnosis of coronavirus disease 2019 (COVID-19) to replace NP/OP swabs, especially for the person who does not produce sputum. COVID-19 cannot be excluded when the test using saliva is negative, and it is necessary to retest using NP/OP swabs.
5.Changes in Candidemia during the COVID-19 Pandemic: Species Distribution, Antifungal Susceptibility, Initial Antifungal Usage, and Mortality Trends in Two Korean Tertiary Care Hospitals
Ahrang LEE ; Minji KIM ; Sarah KIM ; Hae Seong JEONG ; Sung Un SHIN ; David CHO ; Doyoung HAN ; Uh Jin KIM ; Jung Ho YANG ; Seong Eun KIM ; Kyung-Hwa PARK ; Sook-In JUNG ; Seung Ji KANG
Chonnam Medical Journal 2025;61(1):52-58
This study aimed to investigate changes in candidemia incidence, species distribution, antifungal susceptibility, initial antifungal use, and mortality trends in Korea before and during the COVID-19 pandemic. A retrospective analysis was conducted on candidemia cases from two tertiary care hospitals in Korea between 2017 and 2022. Data were compared between the pre-pandemic (2017-2019) and pandemic (2020-2022) periods. Statistical methods included incidence rate ratios (IRRs) and multivariate Cox regression to assess 30-day mortality risk factors. A total of 470 candidemia cases were identified, with 48.7% occurring pre-pandemic and 51.3% during the pandemic. While the overall incidence of candidemia remained similar across the two periods (IRR 1.15;p=0.13), the incidence in intensive care units (ICUs) significantly increased during the pandemic (IRR 1.50; p<0.01). The distribution of Candida species did not differ significantly between the two periods. Fluconazole non-susceptibility in C. albicans markedly decreased (10.0% vs. 0.9%, p<0.01), whereas C. glabrata exhibited a significant rise in caspofungin non-susceptibility during the pandemic (0% vs. 22.4%, p<0.01).Echinocandin use increased (21.8% vs. 34.4%; p<0.01), while fluconazole use declined (48.0% vs. 32.8%; p<0.01). Although the 30-day mortality rate was higher during the pandemic (60.2% vs. 57.2%), the difference was not statistically significant (p=0.57).The findings highlight the need for region-specific surveillance and tailored management strategies to improve candidemia outcomes, especially during healthcare disruptions like the COVID-19 pandemic.
6.Changes in Candidemia during the COVID-19 Pandemic: Species Distribution, Antifungal Susceptibility, Initial Antifungal Usage, and Mortality Trends in Two Korean Tertiary Care Hospitals
Ahrang LEE ; Minji KIM ; Sarah KIM ; Hae Seong JEONG ; Sung Un SHIN ; David CHO ; Doyoung HAN ; Uh Jin KIM ; Jung Ho YANG ; Seong Eun KIM ; Kyung-Hwa PARK ; Sook-In JUNG ; Seung Ji KANG
Chonnam Medical Journal 2025;61(1):52-58
This study aimed to investigate changes in candidemia incidence, species distribution, antifungal susceptibility, initial antifungal use, and mortality trends in Korea before and during the COVID-19 pandemic. A retrospective analysis was conducted on candidemia cases from two tertiary care hospitals in Korea between 2017 and 2022. Data were compared between the pre-pandemic (2017-2019) and pandemic (2020-2022) periods. Statistical methods included incidence rate ratios (IRRs) and multivariate Cox regression to assess 30-day mortality risk factors. A total of 470 candidemia cases were identified, with 48.7% occurring pre-pandemic and 51.3% during the pandemic. While the overall incidence of candidemia remained similar across the two periods (IRR 1.15;p=0.13), the incidence in intensive care units (ICUs) significantly increased during the pandemic (IRR 1.50; p<0.01). The distribution of Candida species did not differ significantly between the two periods. Fluconazole non-susceptibility in C. albicans markedly decreased (10.0% vs. 0.9%, p<0.01), whereas C. glabrata exhibited a significant rise in caspofungin non-susceptibility during the pandemic (0% vs. 22.4%, p<0.01).Echinocandin use increased (21.8% vs. 34.4%; p<0.01), while fluconazole use declined (48.0% vs. 32.8%; p<0.01). Although the 30-day mortality rate was higher during the pandemic (60.2% vs. 57.2%), the difference was not statistically significant (p=0.57).The findings highlight the need for region-specific surveillance and tailored management strategies to improve candidemia outcomes, especially during healthcare disruptions like the COVID-19 pandemic.
7.Changes in Candidemia during the COVID-19 Pandemic: Species Distribution, Antifungal Susceptibility, Initial Antifungal Usage, and Mortality Trends in Two Korean Tertiary Care Hospitals
Ahrang LEE ; Minji KIM ; Sarah KIM ; Hae Seong JEONG ; Sung Un SHIN ; David CHO ; Doyoung HAN ; Uh Jin KIM ; Jung Ho YANG ; Seong Eun KIM ; Kyung-Hwa PARK ; Sook-In JUNG ; Seung Ji KANG
Chonnam Medical Journal 2025;61(1):52-58
This study aimed to investigate changes in candidemia incidence, species distribution, antifungal susceptibility, initial antifungal use, and mortality trends in Korea before and during the COVID-19 pandemic. A retrospective analysis was conducted on candidemia cases from two tertiary care hospitals in Korea between 2017 and 2022. Data were compared between the pre-pandemic (2017-2019) and pandemic (2020-2022) periods. Statistical methods included incidence rate ratios (IRRs) and multivariate Cox regression to assess 30-day mortality risk factors. A total of 470 candidemia cases were identified, with 48.7% occurring pre-pandemic and 51.3% during the pandemic. While the overall incidence of candidemia remained similar across the two periods (IRR 1.15;p=0.13), the incidence in intensive care units (ICUs) significantly increased during the pandemic (IRR 1.50; p<0.01). The distribution of Candida species did not differ significantly between the two periods. Fluconazole non-susceptibility in C. albicans markedly decreased (10.0% vs. 0.9%, p<0.01), whereas C. glabrata exhibited a significant rise in caspofungin non-susceptibility during the pandemic (0% vs. 22.4%, p<0.01).Echinocandin use increased (21.8% vs. 34.4%; p<0.01), while fluconazole use declined (48.0% vs. 32.8%; p<0.01). Although the 30-day mortality rate was higher during the pandemic (60.2% vs. 57.2%), the difference was not statistically significant (p=0.57).The findings highlight the need for region-specific surveillance and tailored management strategies to improve candidemia outcomes, especially during healthcare disruptions like the COVID-19 pandemic.