Purpose: As nursing continues to advance through digital health, clinical specialization, and interdisciplinary research, early-career nurse scientists are central to advancing innovation. However, Korea lacks a structured platform to support their research, collaboration, and career development. This review aimed to identify the needs of early-career nurse scientists and examine international best practices to guide the creation of an effective communication platform. Methods: This study involved a secondary analysis of the final report from the project “Establishment of a communication platform for young nursing scientists,” carried out by the Korean Society of Nursing Science. The report comprises data from focus group interviews with domestic graduate students and early-career researchers, a literature review of international communication and support systems, and a global policy analysis related to young nursing scientists. Based on this report, the present review synthesizes key findings and draws implications for the development of a communication platform in Korea. Results: International examples, such as grant writing programs, mentoring initiatives, and digital collaboration hubs, showed positive outcomes in strengthening research capacity and promoting the professional growth of nurse scientists. Based on these findings, key considerations for platform development include: (1) establishing clear leadership and a participatory governance model; (2) providing demand-driven content such as research guides, mentoring, and mental health resources; (3) implementing mechanisms to ensure sustainability, content quality, and user data protection; and (4) designing an integrated platform that fosters synergy across research, policy development, education, and global networking. Conclusion A digital platform for early-career nurse scientists should function not merely as an information portal, but also as dynamic infrastructure for collaboration, mentorship, and growth. It is recommended that the Korean Society of Nursing Science spearhead this initiative, with governmental support, to enhance the research capacity and expand the global engagement of Korean nursing scientists.

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.

South Korea’s current vaccination policies leave a surveillance gap for non-National Immunization Program (NIP) vaccines. In this study, we proposed a sentinel surveillance approach for monitoring the safety of non-NIP vaccines. Vaccination data were collected retrospectively among patients hospitalized with pre-defined adverse events of special interest (AESI) by reviewing electronic medical records in five university hospitals. This approach incorporates expert assessment to determine the causal relationship. We confirmed that 16 patients had received non-NIP vaccines among 860 patients diagnosed with AESI.We concluded one case of preeclampsia was possibly related to tetanus-diphtheria-pertussis vaccination. We propose a multi-hospital-based, retrospective assessment system for predefined AESIs as an alternative to active vaccine safety monitoring method. These efforts are expected to enhance both the accuracy and timeliness of safety monitoring in South Korea.

Background: The accuracy of Logical Observation Identifiers Names and Codes (LOINC) mappings is reportedly low, and the LOINC codes used for research purposes in Korea have not been validated for accuracy or usability. Our study aimed to evaluate the discrepancies and similarities in interoperability using existing LOINC mappings in actual patient care settings. Methods: We collected data on local test codes and their corresponding LOINC mappings from seven university hospitals. Our analysis focused on laboratory tests that are frequently requested, excluding clinical microbiology and molecular tests. Codes from nationwide proficiency tests served as intermediary benchmarks for comparison. A research team, comprising clinical pathologists and terminology experts, utilized the LOINC manual to reach a consensus on determining the most suitable LOINC codes. Results: A total of 235 LOINC codes were designated as optimal codes for 162 frequent tests.Among these, 51 test items, including 34 urine tests, required multiple optimal LOINC codes, primarily due to unnoted properties such as whether the test was quantitative or qualitative, or differences in measurement units. We analyzed 962 LOINC codes linked to 162 tests across seven institutions, discovering that 792 (82.3%) of these codes were consistent. Inconsistencies were most common in the analyte component (38 inconsistencies, 33.3%), followed by the method (33 inconsistencies, 28.9%), and properties (13 inconsistencies, 11.4%). Conclusion This study reveals a significant inconsistency rate of over 15% in LOINC mappings utilized for research purposes in university hospitals, underlining the necessity for expert verification to enhance interoperability in real patient care.

Objective: : Korea’s healthcare system and policy promotes early, actively stroke treatment to improve prognosis. This study represents stroke epidemiology and outcomes in Korea. Methods: : This study investigated data from the Acute Stroke Assessment Registry. The registry collects data from over 220 hospitals nationwide, focusing on quality stroke service management. Data analysis included patient demographics, stroke severity assessment, and discharge prognosis measurement using standardized scales. Results: : Eighty-six thousand five hundred sixty-eight acute stroke patients were collected with demographic and clinical characteristics during 18 months from 2016, 2018, and between 2020 to 2021, focusing on acute subarachnoid hemorrhage (SAH), acute intracerebral hemorrhage (ICH), and acute ischemic stroke. Of these 86568 patients, 8.3% was SAH, 16.3% ICH, and 74.9% ischemic stroke. Trends showed decreasing SAH and increasing ICH cases over the years. 68.3% stroke patients had the clear onset time. 49.6% stroke patients arrived within 4.5 hours of symptom onset, with more patients treated at general hospitals. Good functional outcomes at discharge was obtained with 58.3% of acute stroke patients, 55.9% of SAH patients, 34.6% of ICH patients, and 63.8% of ischemic stroke patients. Conclusion : The results showed that ischemic stroke was the most common subtype, followed by ICH and SAH. Prognosis differed among subtypes, with favorable outcomes more common in ischemic stroke and SAH compared to ICH.

Background/Aims: Post-infectious irritable bowel syndrome (PI-IBS) is characterized by chronic gastrointestinal symptoms that arise following an episode of infectious enteritis. The incidence rates vary, ranging from 5% to 32% and the risk factors are not well known. We aim to investigate the incidence and risk factors of PI-IBS in enteritis patients admitted to university hospitals in Korea. Methods: This multi-center prospective study was conducted in patients hospitalized for infectious enteritis. Each patient underwent 1 outpatient visit and 3 telephone surveys during the first year after discharge to determine if PI-IBS occurred within the follow-up period. Results: In the 3-month survey, 7 out of 354 patients (2%) were diagnosed with PI-IBS, and after 1 year, only 1 patient met the criteria for IBS.No statistically significant difference was found between the PI-IBS group and the non-PI-IBS group in terms of age, sex, underlying diseases, medication history, gastrointestinal symptoms, enteritis location, causative strain, hospitalization and treatment periods, and laboratory findings. Female sex (P = 0.003), enteropathogenic Escherichia coli (EPEC) infection (P = 0.044), and a longer total treatment period (P = 0.018) were independent risk factors for diarrhea lasting ≥ 3 months after enteritis. Conclusions The incidence of PI-IBS in Korea was relatively low, and most cases improved over time. No risk factors associated with the development of PI-IBS were found. However, persistent diarrhea after enteritis was associated with female sex, EPEC infection, and severe or long-lasting enteritis. IBS symptoms may persist after severe enteritis but usually improve with time.

Objectives: This study was performed to investigate the prevalence of falls, mental health issues, and health behaviors among older adults, as well as to analyze the association between multiple falls and mental health status in this population. Methods: We utilized data from the 2017, 2019, and 2021 Korean Community Health Survey, a nationwide survey organized by region and conducted by the Korea Disease Control and Prevention Agency. Participants were categorized into no-fall, single-fall, and multiple fall groups based on responses to an index question regarding fall experiences and the number of such incidents reported in the survey. The chi-square test was applied to understand the characteristics of the elderly population in the community. Subsequently, multinomial logistic regression analysis was conducted to clarify the association between falls and mental health. Results: Integrated data analysis revealed that 11.3% of participants experienced a single fall, while 5.7% reported multiple falls. Participants from low-education and low-income backgrounds exhibited relatively high rates of falls. Additionally, non-drinkers and non-smokers reported falls more frequently than their counterparts who consumed alcohol and smoked. Multinomial logistic regression revealed significant associations between multiple falls and mental health factors. In particular, the severity of depression was directly proportional to the likelihood of experiencing multiple falls, with an odds ratio of 2.95 (95% confidence interval, 2.49 to 3.50). Conclusions We identified associations between various mental health-related factors—including sleep duration, subjective stress, the presence of depression, and Patient Health Questionnaire-9 score—and the occurrence of multiple falls.