Development and Feasibility Testing of a Sensemaking Coaching Program to Improve Communication Skills for Intensive Care Unit Nurses: A Mixed Methods Study.

Background: This mixed methods study was conducted to develop and evaluate the feasibility of the 8-week Sensemaking Coaching program for communication training for bedside intensive care unit nurses.

Method: We adopted a one-group pre- and posttest design with six intensive care unit nurses working at a tertiary care hospital in Seoul, South Korea. The Sensemaking Coaching program consisted of three steps (Step 1, on-demand lectures; Step 2, simulation workshop; and Step 3, coaching, including self-reflection and small group sessions).

Comparing the Performance of Machine Learning Models and Conventional Risk Scores for Predicting Major Adverse Cardiovascular Cerebrovascular Events After Percutaneous Coronary Intervention in Patients With Acute Myocardial Infarction: Systematic Review and Meta-Analysis.

Background: Machine learning (ML) models may offer greater clinical utility than conventional risk scores, such as the Thrombolysis in Myocardial Infarction (TIMI) and Global Registry of Acute Coronary Events (GRACE) risk scores. However, there is a lack of knowledge on whether ML or traditional models are better at predicting the risk of major adverse cardiovascular and cerebrovascular events (MACCEs) in patients with acute myocardial infarction (AMI) who have undergone percutaneous coronary interventions (PCI).

Objective: The aim of this study is to systematically review and critically appraise studies comparing the performance of ML models and conventional risk scores for predicting MACCEs in patients with AMI who have undergone PCI.

Association Between Preoperative Frailty Using Frailty Index-Laboratory Test and Clinical Outcomes in Older Adults Undergoing Brain Tumor Surgery.

This retrospective cohort study aimed to evaluate preoperative frailty in older adults undergoing brain tumor surgery using the laboratory-based frailty index (FI-LAB) and its association with clinical outcomes. Data were from electronic medical records of individuals aged ≥ 65 years who had brain tumor surgery between 2015 and 2022 at a general hospital in Seoul, South Korea. The FI-LAB included 26 preoperative laboratory tests and five vitality parameters.

Development and Evaluation of a Patient-Family Caregiver Dyad mHealth Intervention for Heart Failure Self-Care: Quasi-Experimental Study.

Background: A patient-family caregiver dyad approach is necessary to improve adherence to self-care behaviors by patients with heart failure (HF). However, there is a lack of mobile health (mHealth) interventions that engage both patients and their family caregivers to promote HF self-care.

Objective: The purpose of this quasi-experimental study was to develop and confirm the feasibility and effectiveness of a novel mHealth intervention based on patient-family caregiver dyads for promoting adherence to self-care by patients with HF.

Depression, mutuality, and self-care behaviors in patients with heart failure and their caregivers: An actor-partner interdependence model extended to mediation.

Background: Mutuality may serve as a protective factor against depression for both patients with heart failure (HF) and their caregivers. Mutuality, a sense of positive interaction, is associated with better self-care for HF patients and for lower levels of depression. The mechanism linking mutuality to improved self-care and lowered depression is unclear.

Perioperative Risk Factors of Postoperative Pressure Injuries in Patients after Surgical Hematoma Evacuation of Intracranial Hemorrhage: A Retrospective Cohort Study.

Objective: To identify the incidence and perioperative risk factors of postoperative pressure injuries (PIs) in patients with intracranial hemorrhage who had surgical evacuation of hematoma.

Methods: This retrospective cohort study was conducted at a tertiary care university hospital. Researchers collected medical record data from April 2010 to March 2020 and conducted backward selection in multiple logistic regression.

Shared Decision-Making in Choosing Dialysis Modalities for Patients With Chronic Kidney Disease: An Evolutionary Concept Analysis.

The concept of shared decision-making, which respects the autonomy of patients with chronic kidney disease in the process of choosing dialysis modalities, has been emphasized. Studies clearly defining the process of selecting dialysis methods for chronic kidney disease patients remain limited. Thus, this study aimed to conduct a Rodgers' evolutionary concept analysis of shared decision-making in choosing dialysis modalities among patients with chronic kidney disease.

Longitudinal trajectories of frailty and cognitive decline among older Korean cancer survivors.

This study aimed to identify frailty trajectories among older adults diagnosed with cancer, as well as the impacts of frailty trajectories on cognitive decline at an eight-year follow-up. We used longitudinal data from the Korean Longitudinal Study of Aging. A total of 173 older Korean cancer survivors were included in our analysis.

Association between postoperative atrial fibrillation after coronary artery bypass grafting and short-term clinical outcomes.

Background: Despite advances in prevention and treatment, postoperative atrial fibrillation (POAF) is the most common type of complication undergoing cardiac surgery. This study aimed to identify the relationship between POAF and clinical outcomes after coronary artery bypass graft.

Methods: In this cross-sectional study, we retrospectively reviewed the medical records of 324 patients who had undergone coronary artery bypass grafting in an intensive care unit between 2010 and 2019 at a tertiary hospital in Korea.

Exploring Research Trends on Digital Health in Nursing Science in Korea: A Topic Modeling Approach.

Digital health technology is utilized in contemporary nursing practice and education. This review explored the scope of digital health applications and major trends in nursing research involving digital health in Korea using topic modeling. Our analysis of data using the Latent Dirichlet Allocation model identified four distinct research topics: nursing education using digital technologies (35.

Development of a Predictive Model for Survival Over Time in Patients With Out-of-Hospital Cardiac Arrest Using Ensemble-Based Machine Learning.

As of now, a model for predicting the survival of patients with out-of-hospital cardiac arrest has not been established. This study aimed to develop a model for identifying predictors of survival over time in patients with out-of-hospital cardiac arrest during their stay in the emergency department, using ensemble-based machine learning. A total of 26 013 patients from the Korean nationwide out-of-hospital cardiac arrest registry were enrolled between January 1 and December 31, 2019.

Longitudinal Trajectories of Self-Reported Cognitive Function and Associated Factors Among Older Cancer Survivors.

Background: Cancer-associated cognitive decline may result in difficulties in maintaining daily life activities for older patients with cancer. It is, therefore, critical to identify changes in cognitive function throughout illness trajectories.

Aim: To determine the longitudinal patterns and factors associated with cognitive function among older cancer survivors.

Prevalence and risk factors for in-hospital mortality of adult patients on veno-arterial extracorporeal membrane oxygenation for cardiogenic shock and cardiac arrest: A systematic review and meta-analysis.

Objectives: To synthesize quantitative research findings on the prevalence and risk factors for in-hospital mortality of patients on veno-arterial extracorporeal membrane oxygenation (VA-ECMO).

Methods: A comprehensive search was conducted for the period from May 2008 to December 2023 by searching the five electronic databases of PubMed, CINAHL, Web of Science, EMBASE, and Cochrane library. The quality of included studies was assessed using the Newcastle-Ottawa scale.

Machine learning-based 30-day readmission prediction models for patients with heart failure: a systematic review.

Aims: Heart failure (HF) is one of the most frequent diagnoses for 30-day readmission after hospital discharge. Nurses have a role in reducing unplanned readmission and providing quality of care during HF trajectories. This systematic review assessed the quality and significant factors of machine learning (ML)-based 30-day HF readmission prediction models.

Self-care Behavior Based on Integrated Behavioral Model in Patients With Atrial Fibrillation: A Structural Equation Modeling Approach.

Background: There is limited research exploring the behavioral intentions, beliefs, and application of theoretical models in relation to self-care in patients with atrial fibrillation (AF).

Objective: This study aimed to identify the factors that influence self-care behavior in patients with AF.

Methods: The study used an integrated behavioral model and collected data from 216 patients diagnosed with AF.

Structural equation modeling of factors associated with nursing students' professionalism during the COVID-19 pandemic.

This study aimed to determine the factors associated with nursing professionalism among Korean nursing students. This cross-sectional study was carried out using a convenient sample comprising 247 students enrolled in a four-year Bachelor of Science Nursing program from September 6-27, 2021. A self-reported structured questionnaire was employed to explore the relationships among ego-resilience, self-leadership, clinical learning environment, academic satisfaction, clinical competency, and nursing professionalism by utilizing structural equation modeling.

Prognostic role of sarcopenia on major adverse cardiac events among patients who underwent successful percutaneous coronary intervention: a retrospective cohort study.

Aims: We investigated the prevalence of sarcopenia and its influence on 1-year major adverse cardiac events (MACEs) in patients after successful percutaneous coronary intervention (PCI).

Methods And Results: This retrospective medical record review using purposive sampling was conducted at a tertiary care university hospital in Korea. Medical records of a total of 303 patients (≥40 years) who underwent successful PCI between January 2014 and December 2020 were analysed.

Eight-year trajectories and predictors of cognitive function in community-dwelling Korean older adults with cardiovascular diseases.

Purpose: This study aims to identify longitudinal patterns and predictors of cognitive function trajectories among Korean older adults with cardiovascular diseases.

Design: This study is a longitudinal panel analysis based on secondary data. Data from the the Korean Longitudinal Study of Ageing (KLoSA) were used for analysis.

Factors associated with 30-day in-hospital mortality in critically ill adult patients receiving extracorporeal membrane oxygenation: A retrospective cohort study.

Objective: To identify factors associated with the 30-day in-hospital mortality rate among adult patients requiring extracorporeal membrane oxygenation (ECMO) in intensive care units.

Research Methodology: Retrospective cohort study including 148 patients who underwent ECMO for at least 48 h between March 2010 and August 2021. The patients were divided into survivors and non-survivors based on their 30-day in-hospital survival.

The effects of a 24-week interactive text message-based mobile health intervention for enhancing self-care behaviours of patients with heart failure: A quasi-experimental study.

Aims: The aim of this study was to identify the effects of a 24-week interactive text message-based mobile health intervention (called) on enhancing the self-care behaviours of patients with heart failure.

Background: Whether text message-based mobile health intervention can be used to improve long-term adherence to self-care behaviours among heart failure patients remains unclear.

Design: A quasi-experimental study with a pretest-post-test design and repeated measures.

The role of patient activation in self-care behaviours of Korean older adults with heart failure.

Aim: This study was aimed at investigating the level of patient activation, and its association with self-care behaviours in older people with heart failure.

Design: Cross-sectional secondary data analysis was conducted.

Methods: We included a total of 182 Korean patients with heart failure who were aged ≥65 years for a cardiovascular outpatient clinic visit.

Associations of dual use of tobacco cigarettes and e-cigarettes, sleep duration, physical activity and depressive symptoms among middle-aged and older Korean adults.

Aim: There is limited evidence of the association between dual tobacco-e-cigarette use and health-related variables in Korea. Thus, this study aimed to investigate the associations between types of cigarette smoking, sleep duration, physical activity and depressive symptoms among Korean adults.

Design: A cross-sectional study design using the 2019 Korean Community Health Survey.

Initial Development of User-Based Quality Evaluation Questionnaire of Smartwatch Technology for Applying to Healthcare.

Background: Smartwatches are a consumer wearable device offering a potential, practical, and affordable method to collect personal health data in healthy adults. For patients with chronic diseases, this would enable symptom monitoring and aid clinical decision making. Therefore, providing customized checklists to recommend smartwatches is beneficial.

One-year trajectories of self-care behaviours and unplanned hospital readmissions among patients with heart failure: A prospective longitudinal study.

Aim And Objectives: This study aimed to identify the associations between longitudinal trajectories of self-care behaviours and unplanned hospital readmissions in patients with heart failure.

Background: Adherence to self-care behaviours is crucial to prevent hospital readmissions; however, self-care behaviours remain unsatisfactory among patients with heart failure. Studies of long-term trajectories of self-care behaviours and their influence on hospital readmissions are limited in this population.