Variables influencing digital health literacy in older adults: a systematic review and meta-analysis [0.03%]
影响老年人数字健康素养的因素：系统评价和meta分析
Jin Hwa Park,Eun Ju Mun
Jin Hwa Park
Purpose: This study aimed to synthesize existing evidence on digital health literacy (DHL) among older adults and to estimate the associations between related influencing factors through a systematic literature review and...
Risk factors for the readmission of patients with diabetic ketoacidosis: a systematic review and meta-analysis [0.03%]
糖尿病酮症酸中毒患者再入院的危险因素：系统评价和meta分析
Hyerim Ji,Sun-Kyung Hwang
Hyerim Ji
Purpose: This study aimed to identify risk factors associated with the readmission of patients with diabetic ketoacidosis (DKA) through a systematic review and meta-analysis. ...
A qualitative exploration of acute stroke patients' experiences with aphasia in Korea [0.03%]
韩国急性卒中患者失语症体验的定性探索
Jiyeon Kang,Hyunyoung Heo
Jiyeon Kang
Purpose: This study aimed to explore the lived experiences of patients with acute stroke-related aphasia within the Korean healthcare context. Methods: ...
Validity and reliability of the Security Neglect Subscale of the Child Neglect Scale in vulnerable Chinese children: a methodological study [0.03%]
中国弱势儿童安全忽视亚量表在中国弱势儿童中的信效度研究
Zexi Su
Zexi Su
Purpose: Security neglect is common among vulnerable children. The Child Neglect Scale (CNS) is widely used to screen children for neglect. However, little is known about the accuracy of the Security Neglect Subscale when...
Development of an end-of-life care competency scale for nurses in long-term care hospitals: a psychometric validation study [0.03%]
长期护理医院护士临终关怀胜任力量表的编制及检验研究
Sookyeon Son,Mi-Kyeong Jeon
Sookyeon Son
Purpose: This study aimed to develop a scale to measure end-of-life care (EOLC) competency among nurses working in long-term care hospitals and to evaluate its validity and reliability. ...
Effects of presenteeism on turnover intention in clinical nurses through the serial mediating roles of missed nursing care and job satisfaction: a cross-sectional predictive correlational study [0.03%]
临床护士缺勤对离职意向影响的连锁中介作用模型研究：一项横断面预测性相关研究
Hyeonseon Cheon,Seok Hee Jeong,Hyun Kyung Kim et al.
Hyeonseon Cheon et al.
Purpose: This study aimed to investigate the two-mediator serial mediation effect of missed nursing care and job satisfaction on the relationship between presenteeism and turnover intention in clinical nurses. ...
Strategies for expanding the role of advanced practice providers in the Korean nursing workforce: a mixed-methods approach [0.03%]
扩大高级实践提供者在韩国护理劳动力中的作用的战略：一种混合方法 접근的方法
Jeong Hye Kim,Mi-Kyeong Jeon,Suyoung Choi et al.
Jeong Hye Kim et al.
Purpose: This study aimed to propose strategies for strengthening the nursing workforce by expanding their roles as advanced practice providers (APPs). Me...
Ten-year trends in research designs and keywords: a bibliometric comparison of the Journal of Korean Academy of Nursing and leading international nursing journals [0.03%]
基于文献计量的比较：《韩国护理学会杂志》与国际知名护理期刊研究设计及关键词十年发展变化趋势(2008-2017)
Jin-Hee Park,Hyun Kyoung Kim,Gaeun Kim et al.
Jin-Hee Park et al.
Purpose: This study compared trends in research designs and keywords by analyzing the abstracts of four major nursing journals over the past decade, focusing on the Journal of Korean Academy of Nursing (JKAN) in compariso...
Comparative Study
Journal of Korean Academy of Nursing. 2025 Nov;55(4):557-567. DOI:10.4040/jkan.25119 2025
Multidimensional factors influencing the completion of advance directives among community-dwelling older Koreans [0.03%]
影响社区居住的韩国老年人完成预立指令单的多维因素
Hee-Ju Ji,Soong-Nang Jang
Hee-Ju Ji
Purpose: This study aimed to examine the multidimensional factors associated with the completion of advance directives (ADs) among community-dwelling older Koreans, guided by conceptual frameworks developed in Asian conte...
Development of a machine learning-based prediction model for early hospital readmission after kidney transplantation: a retrospective study [0.03%]
基于机器学习的预测模型在肾移植术后早期再入院中的发展：一项回顾性研究
Hye Jin Chong,Ji-Hyun Yeom
Hye Jin Chong
Purpose: This study aimed to develop and validate a machine learning-based prediction model for early hospital readmission (EHR) post-kidney transplantation. ...