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Purpose@#This study aimed to examine the predictive factors of COVID-19 vaccination behavior by evaluating the moderating effect of perceived behavioral control on the theory of planned behavior. @*Methods@#Data were collected from August 6 to August 31, 2022 from 235 college students (aged 20~29 years) across 12 universities using a structured web-based survey. Statistical analyses were conducted using the SPSS and AMOS software. @*Results@#Attitudes toward COVID-19 vaccination, subjective norms, and intention to be vaccinated significantly influenced COVID-19 vaccination behavior. Attitudes and subjective norms indirectly affected COVID-19 vaccination behavior through intention to vaccinate, whereas intention to vaccinate had a direct effect. The moderating effect of perceived behavioral control on the relationship between subjective norms and intention to vaccinate was significant. @*Conclusion@#Interventions that foster a positive attitude toward COVID-19 vaccination and bolster subjective norms and perceived behavioral control can boost the intention to be vaccinated and facilitate the uptake of COVID-19 vaccination.

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Background@#To analyze the effects of socioeconomic status (type of insurance and income level) and cancer stage on the survival of patients with liver cancer in Korea. @*Methods@#A retrospective cohort study was constructed using data from the Healthcare Big Data Platform project in Korea between January 1, 2007, and December 31, 2017. A total of 143,511 patients in Korea diagnosed with liver cancer (International Classification of Diseases, 10th Revision [ICD-10] codes C22, C220, and C221) were followed for an average of 11 years. Of these, 110,443 died. The patient’s insurance type and income level were used as indicators of socioeconomic status. Unadjusted and adjusted hazard ratios (HRs) and 95% confidence intervals (CIs) were calculated using a Cox proportional hazards regression model to analyze the relationship between the effects of sex, age, and cancer stage at first diagnosis (Surveillance, Epidemiology, and the End Results; SEER), type of insurance, and income level on the survival of patients with liver cancer. The interactive effects of the type of insurance, income level, and cancer stage on liver cancer death were also analyzed. @*Results@#The lowest income group (medical aid) showed a higher risk for mortality (HR (95% CI); 1.37 (1.27–1.47) for all patients, 1.44 (1.32–1.57) for men, and 1.16 (1.01–1.34) for women) compared to the highest income group (1–6) among liver cancer (ICD-10 code C22) patients. The risk of liver cancer death was also higher in the lowest income group with a distant cancer stage (SEER = 7) diagnosis than for any other group. @*Conclusion@#Liver cancer patients with lower socioeconomic status and more severe cancer stages were at greater risk of death. Reducing social inequalities is needed to improve mortality rates among patients in lower social class groups who present with advanced cancer.

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Background@#Worldwide, sepsis is the leading cause of death in hospitals. If mortality rates in patients with sepsis can be predicted early, medical resources can be allocated efficiently. We constructed machine learning (ML) models to predict the mortality of patients with sepsis in a hospital emergency department. @*Methods@#This study prospectively collected nationwide data from an ongoing multicenter cohort of patients with sepsis identified in the emergency department. Patients were enrolled from 19 hospitals between September 2019 and December 2020. For acquired data from 3,657 survivors and 1,455 deaths, six ML models (logistic regression, support vector machine, random forest, extreme gradient boosting [XGBoost], light gradient boosting machine, and categorical boosting [CatBoost]) were constructed using fivefold cross-validation to predict mortality. Through these models, 44 clinical variables measured on the day of admission were compared with six sequential organ failure assessment (SOFA) components (PaO 2 /FIO 2 [PF], platelets (PLT), bilirubin, cardiovascular, Glasgow Coma Scale score, and creatinine).The confidence interval (CI) was obtained by performing 10,000 repeated measurements via random sampling of the test dataset. All results were explained and interpreted using Shapley’s additive explanations (SHAP). @*Results@#Of the 5,112 participants, CatBoost exhibited the highest area under the curve (AUC) of 0.800 (95% CI, 0.756–0.840) using clinical variables. Using the SOFA components for the same patient, XGBoost exhibited the highest AUC of 0.678 (95% CI, 0.626–0.730). As interpreted by SHAP, albumin, lactate, blood urea nitrogen, and international normalization ratio were determined to significantly affect the results. Additionally, PF and PLTs in the SOFA component significantly influenced the prediction results. @*Conclusion@#Newly established ML-based models achieved good prediction of mortality in patients with sepsis. Using several clinical variables acquired at the baseline can provide more accurate results for early predictions than using SOFA components. Additionally, the impact of each variable was identified.

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Purpose@#: This study aimed to comprehensively understand the work experience of the person in charge of the adequacy evaluation of small-and medium-sized hospitals and explore its meaning and essence in-depth. @*Methods@#: This was a descriptive qualitative study. The study participants were 10 nurses who understood the purpose of this study and participated voluntarily. Data collection was conducted via in-depth interviews in January 2021. The interviews were conducted 1-2 times per participant and lasted approximately 40-50 minutes per session. Data analysis was performed using a qualitative content analysis. @*Results@#: The work experience of the person in charge of the adequacy evaluation of small-and medium-sized hospitals included four themes: “difficulty in preparing for evaluation,” “negative views on evaluation,” “lack of a support system,” and “positive improvements and changes due to an evaluation.” @*Conclusion@#: Based on the above results, an education program and support system should be developed to strengthen the competence of nurses in charge of the adequacy evaluation of small- and medium-sized hospitals.

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Purpose@#To identify the differences in perception of and adherence to the COVID-19 social distancing behavior guidelines among health care workers, patients, and the general public and to use them to prevent the spread of COVID-19. @*Methods@#From October 16 2020 to November 30, 2020, a survey was conducted among 85 health care workers, 85 patients, and 82 general public regarding the perception of and adherence to the COVID-19 social distancing behavior guidelines. @*Results@#Patients scored significantly higher than the general public in the adherence to the COVID-19 social distancing behavior guideline, and there was no difference between health care workers and general public, and patients and health care workers. In the multivariate analysis, the factors that influence the adherence of the COVID-19 social distancing behavior guide were found in women and the perception of the COVID-19 social distancing behavior guideline. @*Conclusion@#In order to promote the implementation of the COVID-19 social distancing behavior guideline, it is necessary to increase the perception of the COVID-19 social distancing behavior guideline and provide additional education in men. It is necessary to investigate the reason behind why men have low adherence to the COVID-19 social distancing behavior guideline.

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Nizatidine is a histamine H₂ receptor antagonist that inhibits stomach acid production and is commonly used in the treatment of peptic ulcer and gastroesophageal reflux. H₂ receptor antagonists are typically well tolerated, and hypersensitivity reactions are rare. A 19-year-old woman developed urticaria 30 minutes after taking a drug containing nizatidine. Allergic reactions to nizatidine were confirmed via skin prick test, which also revealed cross-reactions to ranitidine. We believe that this is the first case report on immediate hypersensitivity to nizatidine in Korea.

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Fluconazole is a triazole-based first-generation antifungal agent and has excellent effects on candidiasis and cryptococcosis. Hypersensitivity has been reported as a side effect of fluconazole. A 76-year-old female patient used fluconazole for consolidation therapy for cryptococcal meningitis, but showed delayed hypersensitivity with skin rashes and itching sensation of the whole body. For desensitization, was attempted by administering 12-step, 1:1 fluconazole solutions were administered intravenously at sequentially increasing infusion rates. After successful quick desensitization to fluconazole, fluconazole was continuously used as a consolidation therapy for cryptococcal meningitis. We herein report a case of delayed hypersensitivity reaction to fluconazole in consolidation therpy with cryptococcal meningitis who successfully completed desensitization.

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