Objective: Adult attachment style is linked to how an individual responds to threats or stress and is known to be related to the onset of psychiatric symptoms such as depression. However, as the current assessment of attachment type mainly relies on self-report questionnaires and can be prone to bias, there is a need to incorporate physiological factors along with psychological symptoms and history in this process. We aimed to predict the measurement of two important types of adult attachment with heart rate variability (HRV), early life stress experience, and subjective psychiatric symptoms. Methods: Five hundred eighty-two subjects with depressive disorder were recruited retrospectively from January 2015 to June 2021. The experience of early life stress and psychiatric symptoms were collected, and HRV measures were obtained as input for an ensembled Voting Regressor model of machine learning-based regression models, including linear regression, ElasticNet, Support Vector Machine (SVM), Random Forest, and Extreme Gradient Boosting (XGBoost). Results: Model performances evaluated with R-squared score averaged across 30 seeds were 0.377 and 0.188 for anxious- and avoidant-attachment, respectively. Mean absolute error averaged to 13.251 and 12.083, respectively. Shapley value importance analysis indicated that for both attachment types, the most important feature was the trait-anxiety, followed by emotional abuse, state-anxiety or self-reported depressive symptoms, and fear or helplessness felt in the moment of an early life stressor. Conclusion Our results provide the evidence base that may be utilized in clinical settings to predict the degree of attachment type using bio-psychological factors.

Objective: Adult attachment style is linked to how an individual responds to threats or stress and is known to be related to the onset of psychiatric symptoms such as depression. However, as the current assessment of attachment type mainly relies on self-report questionnaires and can be prone to bias, there is a need to incorporate physiological factors along with psychological symptoms and history in this process. We aimed to predict the measurement of two important types of adult attachment with heart rate variability (HRV), early life stress experience, and subjective psychiatric symptoms. Methods: Five hundred eighty-two subjects with depressive disorder were recruited retrospectively from January 2015 to June 2021. The experience of early life stress and psychiatric symptoms were collected, and HRV measures were obtained as input for an ensembled Voting Regressor model of machine learning-based regression models, including linear regression, ElasticNet, Support Vector Machine (SVM), Random Forest, and Extreme Gradient Boosting (XGBoost). Results: Model performances evaluated with R-squared score averaged across 30 seeds were 0.377 and 0.188 for anxious- and avoidant-attachment, respectively. Mean absolute error averaged to 13.251 and 12.083, respectively. Shapley value importance analysis indicated that for both attachment types, the most important feature was the trait-anxiety, followed by emotional abuse, state-anxiety or self-reported depressive symptoms, and fear or helplessness felt in the moment of an early life stressor. Conclusion Our results provide the evidence base that may be utilized in clinical settings to predict the degree of attachment type using bio-psychological factors.

Objective: Adult attachment style is linked to how an individual responds to threats or stress and is known to be related to the onset of psychiatric symptoms such as depression. However, as the current assessment of attachment type mainly relies on self-report questionnaires and can be prone to bias, there is a need to incorporate physiological factors along with psychological symptoms and history in this process. We aimed to predict the measurement of two important types of adult attachment with heart rate variability (HRV), early life stress experience, and subjective psychiatric symptoms. Methods: Five hundred eighty-two subjects with depressive disorder were recruited retrospectively from January 2015 to June 2021. The experience of early life stress and psychiatric symptoms were collected, and HRV measures were obtained as input for an ensembled Voting Regressor model of machine learning-based regression models, including linear regression, ElasticNet, Support Vector Machine (SVM), Random Forest, and Extreme Gradient Boosting (XGBoost). Results: Model performances evaluated with R-squared score averaged across 30 seeds were 0.377 and 0.188 for anxious- and avoidant-attachment, respectively. Mean absolute error averaged to 13.251 and 12.083, respectively. Shapley value importance analysis indicated that for both attachment types, the most important feature was the trait-anxiety, followed by emotional abuse, state-anxiety or self-reported depressive symptoms, and fear or helplessness felt in the moment of an early life stressor. Conclusion Our results provide the evidence base that may be utilized in clinical settings to predict the degree of attachment type using bio-psychological factors.

Purpose: This study aimed to identify the effects of shared leadership, communication skills, and team effectiveness, as perceived by nurses and nursing assistants in comprehensive nursing service units. Methods: A cross-sectional research design was adopted, and the sample included 306 nurses, nurse assistants, and caregivers working in nine hospitals with fewer than 500 beds in two South Korean cities. The data were analyzed using descriptive statistics, t-tests, ANOVA, Pearson’s correlation coefficient, and four-step hierarchical regression analysis. Results: The factors influencing team effectiveness in the hierarchal multiple regression analysis were shared leadership (β=.57,p<.001) and communication skills (β=.18, p<.001). These factors explained 49% of the total variance. Conclusion To enhance team effectiveness in compressive nursing service units, educational programs focusing on shared leadership and communication skills among nurses, nursing assistants, and caregivers must be developed.

Purpose: This study aimed to identify the effects of shared leadership, communication skills, and team effectiveness, as perceived by nurses and nursing assistants in comprehensive nursing service units. Methods: A cross-sectional research design was adopted, and the sample included 306 nurses, nurse assistants, and caregivers working in nine hospitals with fewer than 500 beds in two South Korean cities. The data were analyzed using descriptive statistics, t-tests, ANOVA, Pearson’s correlation coefficient, and four-step hierarchical regression analysis. Results: The factors influencing team effectiveness in the hierarchal multiple regression analysis were shared leadership (β=.57,p<.001) and communication skills (β=.18, p<.001). These factors explained 49% of the total variance. Conclusion To enhance team effectiveness in compressive nursing service units, educational programs focusing on shared leadership and communication skills among nurses, nursing assistants, and caregivers must be developed.

Purpose: This study aimed to identify the effects of shared leadership, communication skills, and team effectiveness, as perceived by nurses and nursing assistants in comprehensive nursing service units. Methods: A cross-sectional research design was adopted, and the sample included 306 nurses, nurse assistants, and caregivers working in nine hospitals with fewer than 500 beds in two South Korean cities. The data were analyzed using descriptive statistics, t-tests, ANOVA, Pearson’s correlation coefficient, and four-step hierarchical regression analysis. Results: The factors influencing team effectiveness in the hierarchal multiple regression analysis were shared leadership (β=.57,p<.001) and communication skills (β=.18, p<.001). These factors explained 49% of the total variance. Conclusion To enhance team effectiveness in compressive nursing service units, educational programs focusing on shared leadership and communication skills among nurses, nursing assistants, and caregivers must be developed.

Objective: Adult attachment style is linked to how an individual responds to threats or stress and is known to be related to the onset of psychiatric symptoms such as depression. However, as the current assessment of attachment type mainly relies on self-report questionnaires and can be prone to bias, there is a need to incorporate physiological factors along with psychological symptoms and history in this process. We aimed to predict the measurement of two important types of adult attachment with heart rate variability (HRV), early life stress experience, and subjective psychiatric symptoms. Methods: Five hundred eighty-two subjects with depressive disorder were recruited retrospectively from January 2015 to June 2021. The experience of early life stress and psychiatric symptoms were collected, and HRV measures were obtained as input for an ensembled Voting Regressor model of machine learning-based regression models, including linear regression, ElasticNet, Support Vector Machine (SVM), Random Forest, and Extreme Gradient Boosting (XGBoost). Results: Model performances evaluated with R-squared score averaged across 30 seeds were 0.377 and 0.188 for anxious- and avoidant-attachment, respectively. Mean absolute error averaged to 13.251 and 12.083, respectively. Shapley value importance analysis indicated that for both attachment types, the most important feature was the trait-anxiety, followed by emotional abuse, state-anxiety or self-reported depressive symptoms, and fear or helplessness felt in the moment of an early life stressor. Conclusion Our results provide the evidence base that may be utilized in clinical settings to predict the degree of attachment type using bio-psychological factors.

Purpose: This study aimed to identify the effects of shared leadership, communication skills, and team effectiveness, as perceived by nurses and nursing assistants in comprehensive nursing service units. Methods: A cross-sectional research design was adopted, and the sample included 306 nurses, nurse assistants, and caregivers working in nine hospitals with fewer than 500 beds in two South Korean cities. The data were analyzed using descriptive statistics, t-tests, ANOVA, Pearson’s correlation coefficient, and four-step hierarchical regression analysis. Results: The factors influencing team effectiveness in the hierarchal multiple regression analysis were shared leadership (β=.57,p<.001) and communication skills (β=.18, p<.001). These factors explained 49% of the total variance. Conclusion To enhance team effectiveness in compressive nursing service units, educational programs focusing on shared leadership and communication skills among nurses, nursing assistants, and caregivers must be developed.

Objective: Adult attachment style is linked to how an individual responds to threats or stress and is known to be related to the onset of psychiatric symptoms such as depression. However, as the current assessment of attachment type mainly relies on self-report questionnaires and can be prone to bias, there is a need to incorporate physiological factors along with psychological symptoms and history in this process. We aimed to predict the measurement of two important types of adult attachment with heart rate variability (HRV), early life stress experience, and subjective psychiatric symptoms. Methods: Five hundred eighty-two subjects with depressive disorder were recruited retrospectively from January 2015 to June 2021. The experience of early life stress and psychiatric symptoms were collected, and HRV measures were obtained as input for an ensembled Voting Regressor model of machine learning-based regression models, including linear regression, ElasticNet, Support Vector Machine (SVM), Random Forest, and Extreme Gradient Boosting (XGBoost). Results: Model performances evaluated with R-squared score averaged across 30 seeds were 0.377 and 0.188 for anxious- and avoidant-attachment, respectively. Mean absolute error averaged to 13.251 and 12.083, respectively. Shapley value importance analysis indicated that for both attachment types, the most important feature was the trait-anxiety, followed by emotional abuse, state-anxiety or self-reported depressive symptoms, and fear or helplessness felt in the moment of an early life stressor. Conclusion Our results provide the evidence base that may be utilized in clinical settings to predict the degree of attachment type using bio-psychological factors.

Background: This study examined the public’s perceptions of repeat dispensing as one of the measures to reduce the harmful effects of long-term prescriptions in Korea. Methods: From January 11 to 25, 2021, an online survey was conducted for adults using convenience sampling. A self-developed questionnaire was used. Results: There were 310 respondents, of which 228(73.5%) preferred repeat dispensing. When considering the additional fee payment, 188 (60.6%) preferred repeat dispensing, and54 (67.5%) out of a total of 80 chronic disease patients preferred it. It was confirmed that there was a difference in the willingnessto repeat dispensing considering the additional cost depending on whether the patient had a chronic disease and the distance from home to the nearest pharmacy. As a result of subgroup analysis for patients with chronic diseases, frequency of outpatient visit, number of prescription days, method of packaging pharmaceuticals, and distance from home to the nearest pharmacy were iden-tified as variables that could well predict the willingness to repeat dispensing considering paying additional fees. The preferencefor repeat dispensing may vary depending on conditions such as additional cost range, frequency and period of prescription use, disease and patient characteristics, so a careful approach is necessary. Conclusion It is necessary for the government to consider the introduction of repeat dispensing with interest in the public demand.