1.Epidemiological characteristics of patients with scabies at a Korean university hospital: a single-center retrospective study
Hye Eun HWANG ; Jae Sim JEONG ; Yang Ree KIM ; Ji young LEE
Journal of Korean Biological Nursing Science 2025;27(1):133-143
This study aimed to establish infection control strategies for preventing the spread of scabies within a single institution by analyzing the epidemiological characteristics of patients diagnosed with scabies. Methods: This was a retrospective descriptive study. The electronic medical records of 430 patients diagnosed with scabies at the dermatology outpatient department of Uijeongbu St. Mary’s Hospital from January 2020 to December 2022 were used to collect data on their characteristics. The subjects were divided into three groups: patients, family of confirmed patients, and healthcare workers. General and epidemiological characteristics were analyzed. Results: The average age was 60.89 ± 22.39 years. The number of days from symptom onset to diagnosis was unknown in many cases (65.3%), although the average was 63.42 ± 64.18 days. Repeated visits after treatment were observed in 193 patients (67.5%), 38 family members of confirmed patients (55.1%), and 35 healthcare workers (46.7%), showing a statistically significant difference (p = .002). The most common place of residence before the visit was home (56.2%), and the most common suspected origin of contagion was the home (38.3%), and the most common category of the suspected contagious person was family (49.6%). Conclusion: Cases of scabies were disproportionately common in women and older adults. The interval from symptom onset to diagnosis was long, and about half of the cases involved itching but no skin lesions. More than one-thirds of cases did not revisit for a follow-up after 2 weeks. In the overall results, unlike previous studies, factors related to home and family were frequently observed as epidemiological characteristics.
2.Epidemiological characteristics of patients with scabies at a Korean university hospital: a single-center retrospective study
Hye Eun HWANG ; Jae Sim JEONG ; Yang Ree KIM ; Ji young LEE
Journal of Korean Biological Nursing Science 2025;27(1):133-143
This study aimed to establish infection control strategies for preventing the spread of scabies within a single institution by analyzing the epidemiological characteristics of patients diagnosed with scabies. Methods: This was a retrospective descriptive study. The electronic medical records of 430 patients diagnosed with scabies at the dermatology outpatient department of Uijeongbu St. Mary’s Hospital from January 2020 to December 2022 were used to collect data on their characteristics. The subjects were divided into three groups: patients, family of confirmed patients, and healthcare workers. General and epidemiological characteristics were analyzed. Results: The average age was 60.89 ± 22.39 years. The number of days from symptom onset to diagnosis was unknown in many cases (65.3%), although the average was 63.42 ± 64.18 days. Repeated visits after treatment were observed in 193 patients (67.5%), 38 family members of confirmed patients (55.1%), and 35 healthcare workers (46.7%), showing a statistically significant difference (p = .002). The most common place of residence before the visit was home (56.2%), and the most common suspected origin of contagion was the home (38.3%), and the most common category of the suspected contagious person was family (49.6%). Conclusion: Cases of scabies were disproportionately common in women and older adults. The interval from symptom onset to diagnosis was long, and about half of the cases involved itching but no skin lesions. More than one-thirds of cases did not revisit for a follow-up after 2 weeks. In the overall results, unlike previous studies, factors related to home and family were frequently observed as epidemiological characteristics.
3.Epidemiological characteristics of patients with scabies at a Korean university hospital: a single-center retrospective study
Hye Eun HWANG ; Jae Sim JEONG ; Yang Ree KIM ; Ji young LEE
Journal of Korean Biological Nursing Science 2025;27(1):133-143
This study aimed to establish infection control strategies for preventing the spread of scabies within a single institution by analyzing the epidemiological characteristics of patients diagnosed with scabies. Methods: This was a retrospective descriptive study. The electronic medical records of 430 patients diagnosed with scabies at the dermatology outpatient department of Uijeongbu St. Mary’s Hospital from January 2020 to December 2022 were used to collect data on their characteristics. The subjects were divided into three groups: patients, family of confirmed patients, and healthcare workers. General and epidemiological characteristics were analyzed. Results: The average age was 60.89 ± 22.39 years. The number of days from symptom onset to diagnosis was unknown in many cases (65.3%), although the average was 63.42 ± 64.18 days. Repeated visits after treatment were observed in 193 patients (67.5%), 38 family members of confirmed patients (55.1%), and 35 healthcare workers (46.7%), showing a statistically significant difference (p = .002). The most common place of residence before the visit was home (56.2%), and the most common suspected origin of contagion was the home (38.3%), and the most common category of the suspected contagious person was family (49.6%). Conclusion: Cases of scabies were disproportionately common in women and older adults. The interval from symptom onset to diagnosis was long, and about half of the cases involved itching but no skin lesions. More than one-thirds of cases did not revisit for a follow-up after 2 weeks. In the overall results, unlike previous studies, factors related to home and family were frequently observed as epidemiological characteristics.
4.Epidemiological characteristics of patients with scabies at a Korean university hospital: a single-center retrospective study
Hye Eun HWANG ; Jae Sim JEONG ; Yang Ree KIM ; Ji young LEE
Journal of Korean Biological Nursing Science 2025;27(1):133-143
This study aimed to establish infection control strategies for preventing the spread of scabies within a single institution by analyzing the epidemiological characteristics of patients diagnosed with scabies. Methods: This was a retrospective descriptive study. The electronic medical records of 430 patients diagnosed with scabies at the dermatology outpatient department of Uijeongbu St. Mary’s Hospital from January 2020 to December 2022 were used to collect data on their characteristics. The subjects were divided into three groups: patients, family of confirmed patients, and healthcare workers. General and epidemiological characteristics were analyzed. Results: The average age was 60.89 ± 22.39 years. The number of days from symptom onset to diagnosis was unknown in many cases (65.3%), although the average was 63.42 ± 64.18 days. Repeated visits after treatment were observed in 193 patients (67.5%), 38 family members of confirmed patients (55.1%), and 35 healthcare workers (46.7%), showing a statistically significant difference (p = .002). The most common place of residence before the visit was home (56.2%), and the most common suspected origin of contagion was the home (38.3%), and the most common category of the suspected contagious person was family (49.6%). Conclusion: Cases of scabies were disproportionately common in women and older adults. The interval from symptom onset to diagnosis was long, and about half of the cases involved itching but no skin lesions. More than one-thirds of cases did not revisit for a follow-up after 2 weeks. In the overall results, unlike previous studies, factors related to home and family were frequently observed as epidemiological characteristics.
5.Changes in the Infection Control Organization of General Hospitals and the Work of Infection Control Nurses during the COVID-19Pandemic in South Korea
Ri Hye PARK ; Jae Sim JEONG ; Eun Suk PARK ; A Reum KIM ; Yoon Jung KIM ; Hye Ran CHOI ; Mi Na KIM
Korean Journal of healthcare-associated Infection Control and Prevention 2024;29(2):116-127
Background:
This study investigates changes in infection control organizations and the roles of infection control nurses in healthcare institutions during the prolonged COVID-19 pandemic. It aims to provide evidence for preparing effective responses to future emerging infectious diseases.
Methods:
A survey was conducted from August 9 to 27, 2021, targeting infection control nurses working in infection control departments of general hospitals in South Korea with more than 100 beds.
Results:
A total of 118 (38.3%) healthcare institutions responded, and 113 questionnaires ultimately analyzed. Changes in infection control organizations observed during the COVID-19 pandemic included alterations in infection control department staffing (34.5%), work arrangements (92.0%), IT systems development (45.1%), facilities and equipment (92.9%), and systems for responding to emerging infectious diseases (99.1%). Over 50% of infection control tasks were performed either frequently or daily during the pandemic, with the most significant workload increase observed in epidemiological investigations (77.9%). The most challenging task for infection control nurses was establishing and operating epidemic management systems (82.3%). Among personal factors hindering their work, a sense of responsibility for their duties scored the highest (mean 4.73/5 points). The primary structural and environmental barrier was insufficient staffing (mean 4.36/5 points). The most critical need for improving infection control efforts was increased staffing in infection control departments and enhanced administrative support (mean 4.63/5 points).
Conclusion
The COVID-19 pandemic brought significant changes to infection control organizations and the roles of infection control nurses. Based on the lessons learned, healthcare institutions must systematically restructure infection control organizations and enhance the expertise of infection control nurses to respond effectively to future outbreaks of emerging infectious diseases.
6.Occupation classification model based on DistilKoBERT: using the 5th and 6th Korean Working Condition Surveys
Tae-Yeon KIM ; Seong-Uk BAEK ; Myeong-Hun LIM ; Byungyoon YUN ; Domyung PAEK ; Kyung Ehi ZOH ; Kanwoo YOUN ; Yun Keun LEE ; Yangho KIM ; Jungwon KIM ; Eunsuk CHOI ; Mo-Yeol KANG ; YoonHo CHO ; Kyung-Eun LEE ; Juho SIM ; Juyeon OH ; Heejoo PARK ; Jian LEE ; Jong-Uk WON ; Yu-Min LEE ; Jin-Ha YOON
Annals of Occupational and Environmental Medicine 2024;36(1):e19-
Accurate occupation classification is essential in various fields, including policy development and epidemiological studies. This study aims to develop an occupation classification model based on DistilKoBERT. This study used data from the 5th and 6th Korean Working Conditions Surveys conducted in 2017 and 2020, respectively. A total of 99,665 survey participants, who were nationally representative of Korean workers, were included. We used natural language responses regarding their job responsibilities and occupational codes based on the Korean Standard Classification of Occupations (7th version, 3-digit codes). The dataset was randomly split into training and test datasets in a ratio of 7:3. The occupation classification model based on DistilKoBERT was fine-tuned using the training dataset, and the model was evaluated using the test dataset. The accuracy, precision, recall, and F1 score were calculated as evaluation metrics. The final model, which classified 28,996 survey participants in the test dataset into 142 occupational codes, exhibited an accuracy of 84.44%. For the evaluation metrics, the precision, recall, and F1 score of the model, calculated by weighting based on the sample size, were 0.83, 0.84, and 0.83, respectively. The model demonstrated high precision in the classification of service and sales workers yet exhibited low precision in the classification of managers. In addition, it displayed high precision in classifying occupations prominently represented in the training dataset. This study developed an occupation classification system based on DistilKoBERT, which demonstrated reasonable performance. Despite further efforts to enhance the classification accuracy, this automated occupation classification model holds promise for advancing epidemiological studies in the fields of occupational safety and health.
7.Changes in the Infection Control Organization of General Hospitals and the Work of Infection Control Nurses during the COVID-19Pandemic in South Korea
Ri Hye PARK ; Jae Sim JEONG ; Eun Suk PARK ; A Reum KIM ; Yoon Jung KIM ; Hye Ran CHOI ; Mi Na KIM
Korean Journal of healthcare-associated Infection Control and Prevention 2024;29(2):116-127
Background:
This study investigates changes in infection control organizations and the roles of infection control nurses in healthcare institutions during the prolonged COVID-19 pandemic. It aims to provide evidence for preparing effective responses to future emerging infectious diseases.
Methods:
A survey was conducted from August 9 to 27, 2021, targeting infection control nurses working in infection control departments of general hospitals in South Korea with more than 100 beds.
Results:
A total of 118 (38.3%) healthcare institutions responded, and 113 questionnaires ultimately analyzed. Changes in infection control organizations observed during the COVID-19 pandemic included alterations in infection control department staffing (34.5%), work arrangements (92.0%), IT systems development (45.1%), facilities and equipment (92.9%), and systems for responding to emerging infectious diseases (99.1%). Over 50% of infection control tasks were performed either frequently or daily during the pandemic, with the most significant workload increase observed in epidemiological investigations (77.9%). The most challenging task for infection control nurses was establishing and operating epidemic management systems (82.3%). Among personal factors hindering their work, a sense of responsibility for their duties scored the highest (mean 4.73/5 points). The primary structural and environmental barrier was insufficient staffing (mean 4.36/5 points). The most critical need for improving infection control efforts was increased staffing in infection control departments and enhanced administrative support (mean 4.63/5 points).
Conclusion
The COVID-19 pandemic brought significant changes to infection control organizations and the roles of infection control nurses. Based on the lessons learned, healthcare institutions must systematically restructure infection control organizations and enhance the expertise of infection control nurses to respond effectively to future outbreaks of emerging infectious diseases.
8.Compression Neuropathy Caused by Pelvic Lymphocele after Laparoscopic Surgical Staging
Dong Jin CHAE ; Jong Bum PARK ; Mi Jin HONG ; Jungyun KIM ; Cho E. SIM ; Seung-Eun KIM ; Yung Jin LEE
Journal of Electrodiagnosis and Neuromuscular Diseases 2024;26(2):29-34
Lymphocele is a complication of pelvic surgery that infrequently leads to compressive neuropathy. We present a case of compressive obturator neuropathy resulting from lymphocele development after pelvic surgery. Electrodiagnostic studies revealed severe axonal disruption in the left obturator nerve, which is associated with poor functional recovery. This case underscores the role of electrodiagnostic testing in the diagnosis and rehabilitation of patients experiencing lower limb weakness following gynecological pelvic surgery.
9.Diagnosis of ADSSL1 Mutation-Induced Myopathy Through Electrophysiology and Genetic Tools
Dong Jin CHAE ; Yung Jin LEE ; Mi Jin HONG ; Cho E. SIM ; Seung-Eun KIM ; Jong Bum PARK
Journal of Electrodiagnosis and Neuromuscular Diseases 2024;26(2):35-39
Mutations in the adenylosuccinate synthase 1 (ADSSL1) gene, resulting in adenylosuccinate synthase deficiency, are a rare genetic anomaly characterized by muscular weakness, elevated serum creatine kinase levels, and pathological muscle findings. However, these clinical symptoms are similar to those observed in many other myopathies, increasing the risk of misdiagnosis. In an era of rapidly expanding genetic knowledge, the authors sought to verify the diagnostic utility of electromyography for genetic disorders. Through combined electrophysiological and genetic studies, a patient initially thought to have Becker’s muscular dystrophy was conclusively diagnosed with ADSSL1 mutagenic myopathy. This case underscores the importance of re-evaluating diseases that do not follow the typical clinical progression of traditional myopathies, especially in light of recent diagnostic advancements.
10.Occupation classification model based on DistilKoBERT: using the 5th and 6th Korean Working Condition Surveys
Tae-Yeon KIM ; Seong-Uk BAEK ; Myeong-Hun LIM ; Byungyoon YUN ; Domyung PAEK ; Kyung Ehi ZOH ; Kanwoo YOUN ; Yun Keun LEE ; Yangho KIM ; Jungwon KIM ; Eunsuk CHOI ; Mo-Yeol KANG ; YoonHo CHO ; Kyung-Eun LEE ; Juho SIM ; Juyeon OH ; Heejoo PARK ; Jian LEE ; Jong-Uk WON ; Yu-Min LEE ; Jin-Ha YOON
Annals of Occupational and Environmental Medicine 2024;36(1):e19-
Accurate occupation classification is essential in various fields, including policy development and epidemiological studies. This study aims to develop an occupation classification model based on DistilKoBERT. This study used data from the 5th and 6th Korean Working Conditions Surveys conducted in 2017 and 2020, respectively. A total of 99,665 survey participants, who were nationally representative of Korean workers, were included. We used natural language responses regarding their job responsibilities and occupational codes based on the Korean Standard Classification of Occupations (7th version, 3-digit codes). The dataset was randomly split into training and test datasets in a ratio of 7:3. The occupation classification model based on DistilKoBERT was fine-tuned using the training dataset, and the model was evaluated using the test dataset. The accuracy, precision, recall, and F1 score were calculated as evaluation metrics. The final model, which classified 28,996 survey participants in the test dataset into 142 occupational codes, exhibited an accuracy of 84.44%. For the evaluation metrics, the precision, recall, and F1 score of the model, calculated by weighting based on the sample size, were 0.83, 0.84, and 0.83, respectively. The model demonstrated high precision in the classification of service and sales workers yet exhibited low precision in the classification of managers. In addition, it displayed high precision in classifying occupations prominently represented in the training dataset. This study developed an occupation classification system based on DistilKoBERT, which demonstrated reasonable performance. Despite further efforts to enhance the classification accuracy, this automated occupation classification model holds promise for advancing epidemiological studies in the fields of occupational safety and health.

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