Earticle

Purpose: This study aimed to analyze the factors influencing the well-being of middle-aged non-shift female workers using health-determinant models. Methods: This study analyzed data from the fifth Korean Working Conditions Survey (KWCS), involving 5,449 participants. A hierarchical multiple regression analysis was employed to examine the relationships between various factors and well-being. Results: The analysis identified key factors affecting well-being in middle-aged female non-shift workers, including supervisor support, presenteeism, satisfaction with the working environment, autonomy in working hours, support from coworkers, workplace discrimination, occupation, work-life balance, sleep problems, workplace size, weekly work hours, and sickness absence. This study confirms that the well-being of middle-aged non-shift female workers is influenced by factors at the individual, social, and community levels as well as by conditions related to love. Conclusion: To enhance the well-being of middle-aged female non-shift workers, it is essential to reinforce positive factors such as support from coworkers and superiors. Additionally, addressing and mitigating negatively influencing factors such as workplace discrimination and sleep problems is crucial in promoting well-being. By implementing measures to improve these aspects, organizations and policymakers can contribute to a healthier and more supportive work environment for middle-aged, non-shift female workers.

Purpose: This quasi-experimental study used a non-equivalent control group pretest-posttest design with clinical nurses to develop a compassion improvement program and verify its effects on compassion competence and empathic communication. Methods: The Triandis Interpersonal Behavior model (Triandis, 1980) was used as a theoretical framework, and a compassion improvement program was developed based on the ADDIE model. The experimental treatment in the program was conducted for 120 minutes per session, once a week, for a total of six sessions. The data collection and research period ranged from September 7 to November 16. It involved a pre-survey of measured variables, six sessions of experimental treatment, a post-survey, and a follow-up survey in sequence. The collected data were analyzed using the statistical program SPSS/WIN 25.0 and then based on a t-test and repeated measures ANOVA to verify the effectiveness of the program. Results: Clinical nurses participating in the compassion improvement program showed improved compassion competence (F=8.00, p=.001) due to the cultivation of insight, sensitivity, and communication skills. In addition, the improvement in attentive listening (F=3.32, p=.024) indicated that the program was partially effective in empathic communication.

Purpose: This study aumed to identify the effects of job satisfaction, nursing organizational culture and social support on intention retention among general hospital nurses. Methods: The subjects were 254 nurses working in one general hospital. Data were collected from January 1 to 30, 2023. Data were analyzed by t-test, ANOVA, Pearson correlation, and multiple regression analysis using the SPSS/WIN 25.0 program. Results: (a) In this study, the mean value of job satisfaction was 3.07±0.43, relation-oriented culture was 3.45±0.51, hierarchy-oriented culture was 3.39±0.49, task-oriented culture was 3.35±0.48, innovation-oriented culture was 3.00±0.46, social support was 3.75±0.49, and intention retention was 4.98±1.39. (b) Intention retention had a positive correlation with job satisfaction (r=.41, p<.001), social support (r=.29, p<.001), innovation-oriented culture (r=.29, p<.001), relation-oriented culture (r=.20, p=.001), and hierarchy-oriented culture (r=.18, p=.002). (c) Factors that affect intention retention include job satisfaction (β=.41, p<.001), Working type (Non-shift) (β=.18, p=.001), Nursing job selection (Recommendation, employment) (β=-.16, p=.003), and the explanation power was 23.1% (F=9.43, p<.001). Conclusion: Our study shows that job satisfaction plays a significant role in the intention retention of nurses. It is important to strengthen job satisfaction to increase the retention of nurses. The results of this study may serve as basic data for the development of strategies to improve intention retention in nurses.

Purpose: This quasi-experimental study used a non-equivalent control group pretest-posttest design with clinical nurses to develop a compassion improvement program and verify its effects on compassion competence and empathic communication. Methods: The Triandis Interpersonal Behavior model (Triandis, 1980) was used as a theoretical framework, and a compassion improvement program was developed based on the ADDIE model. The experimental treatment in the program was conducted for 120 minutes per session, once a week, for a total of six sessions. The data collection and research period ranged from September 7 to November 16. It involved a pre-survey of measured variables, six sessions of experimental treatment, a post-survey, and a follow-up survey in sequence. The collected data were analyzed using the statistical program SPSS/WIN 25.0 and then based on a t-test and repeated measures ANOVA to verify the effectiveness of the program. Results: Clinical nurses participating in the compassion improvement program showed improved compassion competence (F=8.00, p=.001) due to the cultivation of insight, sensitivity, and communication skills. In addition, the improvement in attentive listening (F=3.32, p=.024) indicated that the program was partially effective in empathic communication. Conclusion: The compassion improvement program for clinical nurses, which was developed in this study, is expected to be useful in nursing practice. In other words, the compassion improvement program may contribute to creating a positive atmosphere in the workplace for nurses and an empathic relationship between nurses and healthcare recipients through improvement in the compassion competence of nurses. If the compassion improvement program is continuously implemented as a facilitating condition, it will greatly help prevent the turnover of clinical nurses, assist them in adapting to hospital life, and enhance the quality of nursing care.