Purpose: This study aimed to identify core domains for pre-registered nurses by comparing licensing competencies with program outcomes (POs) in undergraduate nursing education. This was accomplished in preparation for the transition of the Korean Nurse Licensing Examination (KNLE) from a tradition seven-subject format to a newly integrated, competency-based single-subject format that reflects current trends in nursing assessment. Methods: A literature review and survey were conducted. From 828 studies retrieved via PubMed, CINAHL, and Google Scholar using keywords such as “newly graduated registered nurses” and “competency OR competence,” 18 were selected according to pre-established inclusion and exclusion criteria. Documents from national and international nursing organizations were included to extract relevant licensing competencies. We also reviewed POs from all undergraduate nursing schools in South Korea to align educational outcomes with the identified core domains. Results: The core domains identified were clinical performance and decision-making, professional attitudes and ethics, communication and interpersonal skills, leadership and teamwork, quality improvement and safety, health promotion and prevention, and information technology and digital health. These domains showed strong alignment with POs under the fourth-cycle accreditation standards. Conclusion It concludes the seven core domains will be appropriate for evaluating pre-registered nurses in the integrated KNLE. Based on the seven identified core domains, expert consensus should be sought in the next phase to support the development of integrated, competency-based test items grounded in these domains.

The common data model (CDM) has found widespread application in healthcare studies, but its utilization in cancer research has been limited. This article describes the development and implementation strategy for Cancer Clinical Library Databases (CCLDs), which are standardized cancer-specific databases established under the Korea-Clinical Data Utilization Network for Research Excellence (K-CURE) project by the Korean Ministry of Health and Welfare. Fifteen leading hospitals and fourteen academic associations in Korea are engaged in constructing CCLDs for 10 primary cancer types. For each cancer type-specific CCLD, cancer data experts determine key clinical data items essential for cancer research, standardize these items across cancer types, and create a standardized schema. Comprehensive clinical records covering diagnosis, treatment, and outcomes, with annual updates, are collected for each cancer patient in the target population, and quality control is based on six-sigma standards. To protect patient privacy, CCLDs follow stringent data security guidelines by pseudonymizing personal identification information and operating within a closed analysis environment. Researchers can apply for access to CCLD data through the K-CURE portal, which is subject to Institutional Review Board and Data Review Board approval. The CCLD is considered a pioneering standardized cancer-specific database, significantly representing Korea’s cancer data. It is expected to overcome limitations of previous CDMs and provide a valuable resource for multicenter cancer research in Korea.

Purpose: This study aimed to identify core domains for pre-registered nurses by comparing licensing competencies with program outcomes (POs) in undergraduate nursing education. This was accomplished in preparation for the transition of the Korean Nurse Licensing Examination (KNLE) from a tradition seven-subject format to a newly integrated, competency-based single-subject format that reflects current trends in nursing assessment. Methods: A literature review and survey were conducted. From 828 studies retrieved via PubMed, CINAHL, and Google Scholar using keywords such as “newly graduated registered nurses” and “competency OR competence,” 18 were selected according to pre-established inclusion and exclusion criteria. Documents from national and international nursing organizations were included to extract relevant licensing competencies. We also reviewed POs from all undergraduate nursing schools in South Korea to align educational outcomes with the identified core domains. Results: The core domains identified were clinical performance and decision-making, professional attitudes and ethics, communication and interpersonal skills, leadership and teamwork, quality improvement and safety, health promotion and prevention, and information technology and digital health. These domains showed strong alignment with POs under the fourth-cycle accreditation standards. Conclusion It concludes the seven core domains will be appropriate for evaluating pre-registered nurses in the integrated KNLE. Based on the seven identified core domains, expert consensus should be sought in the next phase to support the development of integrated, competency-based test items grounded in these domains.

The common data model (CDM) has found widespread application in healthcare studies, but its utilization in cancer research has been limited. This article describes the development and implementation strategy for Cancer Clinical Library Databases (CCLDs), which are standardized cancer-specific databases established under the Korea-Clinical Data Utilization Network for Research Excellence (K-CURE) project by the Korean Ministry of Health and Welfare. Fifteen leading hospitals and fourteen academic associations in Korea are engaged in constructing CCLDs for 10 primary cancer types. For each cancer type-specific CCLD, cancer data experts determine key clinical data items essential for cancer research, standardize these items across cancer types, and create a standardized schema. Comprehensive clinical records covering diagnosis, treatment, and outcomes, with annual updates, are collected for each cancer patient in the target population, and quality control is based on six-sigma standards. To protect patient privacy, CCLDs follow stringent data security guidelines by pseudonymizing personal identification information and operating within a closed analysis environment. Researchers can apply for access to CCLD data through the K-CURE portal, which is subject to Institutional Review Board and Data Review Board approval. The CCLD is considered a pioneering standardized cancer-specific database, significantly representing Korea’s cancer data. It is expected to overcome limitations of previous CDMs and provide a valuable resource for multicenter cancer research in Korea.

Purpose: This study aimed to identify core domains for pre-registered nurses by comparing licensing competencies with program outcomes (POs) in undergraduate nursing education. This was accomplished in preparation for the transition of the Korean Nurse Licensing Examination (KNLE) from a tradition seven-subject format to a newly integrated, competency-based single-subject format that reflects current trends in nursing assessment. Methods: A literature review and survey were conducted. From 828 studies retrieved via PubMed, CINAHL, and Google Scholar using keywords such as “newly graduated registered nurses” and “competency OR competence,” 18 were selected according to pre-established inclusion and exclusion criteria. Documents from national and international nursing organizations were included to extract relevant licensing competencies. We also reviewed POs from all undergraduate nursing schools in South Korea to align educational outcomes with the identified core domains. Results: The core domains identified were clinical performance and decision-making, professional attitudes and ethics, communication and interpersonal skills, leadership and teamwork, quality improvement and safety, health promotion and prevention, and information technology and digital health. These domains showed strong alignment with POs under the fourth-cycle accreditation standards. Conclusion It concludes the seven core domains will be appropriate for evaluating pre-registered nurses in the integrated KNLE. Based on the seven identified core domains, expert consensus should be sought in the next phase to support the development of integrated, competency-based test items grounded in these domains.

The common data model (CDM) has found widespread application in healthcare studies, but its utilization in cancer research has been limited. This article describes the development and implementation strategy for Cancer Clinical Library Databases (CCLDs), which are standardized cancer-specific databases established under the Korea-Clinical Data Utilization Network for Research Excellence (K-CURE) project by the Korean Ministry of Health and Welfare. Fifteen leading hospitals and fourteen academic associations in Korea are engaged in constructing CCLDs for 10 primary cancer types. For each cancer type-specific CCLD, cancer data experts determine key clinical data items essential for cancer research, standardize these items across cancer types, and create a standardized schema. Comprehensive clinical records covering diagnosis, treatment, and outcomes, with annual updates, are collected for each cancer patient in the target population, and quality control is based on six-sigma standards. To protect patient privacy, CCLDs follow stringent data security guidelines by pseudonymizing personal identification information and operating within a closed analysis environment. Researchers can apply for access to CCLD data through the K-CURE portal, which is subject to Institutional Review Board and Data Review Board approval. The CCLD is considered a pioneering standardized cancer-specific database, significantly representing Korea’s cancer data. It is expected to overcome limitations of previous CDMs and provide a valuable resource for multicenter cancer research in Korea.

Purpose: This study aimed to identify core domains for pre-registered nurses by comparing licensing competencies with program outcomes (POs) in undergraduate nursing education. This was accomplished in preparation for the transition of the Korean Nurse Licensing Examination (KNLE) from a tradition seven-subject format to a newly integrated, competency-based single-subject format that reflects current trends in nursing assessment. Methods: A literature review and survey were conducted. From 828 studies retrieved via PubMed, CINAHL, and Google Scholar using keywords such as “newly graduated registered nurses” and “competency OR competence,” 18 were selected according to pre-established inclusion and exclusion criteria. Documents from national and international nursing organizations were included to extract relevant licensing competencies. We also reviewed POs from all undergraduate nursing schools in South Korea to align educational outcomes with the identified core domains. Results: The core domains identified were clinical performance and decision-making, professional attitudes and ethics, communication and interpersonal skills, leadership and teamwork, quality improvement and safety, health promotion and prevention, and information technology and digital health. These domains showed strong alignment with POs under the fourth-cycle accreditation standards. Conclusion It concludes the seven core domains will be appropriate for evaluating pre-registered nurses in the integrated KNLE. Based on the seven identified core domains, expert consensus should be sought in the next phase to support the development of integrated, competency-based test items grounded in these domains.

Objectives: Eveningness predominates in adolescence. Morningness has been reported to be associated with mental toughness via resilience. Morningness could be related to healthy sleep habits and a good personality. Methods: Sleep-related behaviors, such as weekend oversleep, social jetlag, and daytime sunlight exposure between 10:00 and 15:00, were evaluated using sleep-related questionnaires. Morningness-eveningness questionnaire, insomnia severity index, Epworth sleepiness scale, hospital anxiety and depression scale and defense style questionnaire were used. This study includes 1,610 high school students. Results: Multiple linear regression analysis revealed that morningness is predicted by male sex (β=0.115, t=4.769, p<0.001) and greater adaptive (β=0.092, t=3.506, p<0.001) and self-suppressive defense styles (β=0.072, t=2.192, p=0.029) and lesser immature defense styles (β=-0.163, t=-4.782, p<0.001) after controlling for age, sleep quality, depression, anxiety. Morningness is also predicted by greater sublimation (β=0.09, t=3.541, p<0.001) and reaction formation (β=0.112, t=4.488, p<0.001) and lesser consumption (β=-0.062, t=-2.501, p=0.012), passive aggression (β=-0.101, t=-3.747, p<0.001) and withdrawal (β=-0.084, t=-2.955, p=0.003), and male sex (β=0.117, t=4.896, p<0.001) after controlling for age, sleep quality, depression, and anxiety. Conclusion Morniness in adolescence may be related to a positive personality. Promoting morningness might be related to healthy development in personality.

Objectives: Eveningness predominates in adolescence. Morningness has been reported to be associated with mental toughness via resilience. Morningness could be related to healthy sleep habits and a good personality. Methods: Sleep-related behaviors, such as weekend oversleep, social jetlag, and daytime sunlight exposure between 10:00 and 15:00, were evaluated using sleep-related questionnaires. Morningness-eveningness questionnaire, insomnia severity index, Epworth sleepiness scale, hospital anxiety and depression scale and defense style questionnaire were used. This study includes 1,610 high school students. Results: Multiple linear regression analysis revealed that morningness is predicted by male sex (β=0.115, t=4.769, p<0.001) and greater adaptive (β=0.092, t=3.506, p<0.001) and self-suppressive defense styles (β=0.072, t=2.192, p=0.029) and lesser immature defense styles (β=-0.163, t=-4.782, p<0.001) after controlling for age, sleep quality, depression, anxiety. Morningness is also predicted by greater sublimation (β=0.09, t=3.541, p<0.001) and reaction formation (β=0.112, t=4.488, p<0.001) and lesser consumption (β=-0.062, t=-2.501, p=0.012), passive aggression (β=-0.101, t=-3.747, p<0.001) and withdrawal (β=-0.084, t=-2.955, p=0.003), and male sex (β=0.117, t=4.896, p<0.001) after controlling for age, sleep quality, depression, and anxiety. Conclusion Morniness in adolescence may be related to a positive personality. Promoting morningness might be related to healthy development in personality.

Objectives: Eveningness predominates in adolescence. Morningness has been reported to be associated with mental toughness via resilience. Morningness could be related to healthy sleep habits and a good personality. Methods: Sleep-related behaviors, such as weekend oversleep, social jetlag, and daytime sunlight exposure between 10:00 and 15:00, were evaluated using sleep-related questionnaires. Morningness-eveningness questionnaire, insomnia severity index, Epworth sleepiness scale, hospital anxiety and depression scale and defense style questionnaire were used. This study includes 1,610 high school students. Results: Multiple linear regression analysis revealed that morningness is predicted by male sex (β=0.115, t=4.769, p<0.001) and greater adaptive (β=0.092, t=3.506, p<0.001) and self-suppressive defense styles (β=0.072, t=2.192, p=0.029) and lesser immature defense styles (β=-0.163, t=-4.782, p<0.001) after controlling for age, sleep quality, depression, anxiety. Morningness is also predicted by greater sublimation (β=0.09, t=3.541, p<0.001) and reaction formation (β=0.112, t=4.488, p<0.001) and lesser consumption (β=-0.062, t=-2.501, p=0.012), passive aggression (β=-0.101, t=-3.747, p<0.001) and withdrawal (β=-0.084, t=-2.955, p=0.003), and male sex (β=0.117, t=4.896, p<0.001) after controlling for age, sleep quality, depression, and anxiety. Conclusion Morniness in adolescence may be related to a positive personality. Promoting morningness might be related to healthy development in personality.