Purpose This study aimed to determine the effects of self-leadership on job performance competency and organizational commitment among insurance review nurses. Methods: A nationwide online survey was conducted using structured questionnaires. Participants included 189 insurance review nurses working in advanced general hospitals and general hospitals in South Korea. Data were collected through self-administered questionnaires between August 19 and September 17, 2021. Data analysis was performed using descriptive statistics, independent t-tests, one-way analysis of variance, Pearson’s correlation coefficients, and hierarchical multiple regression with IBM SPSS version 23.0. Results: The mean score for self-leadership was 3.64±0.43 out of 5, for job performance competency was 3.10±0.68 out of 5, and for organizational commitment was 4.38±1.09 out of 7. Statistically significant positive correlations were observed among self-leadership, job performance competency, and organizational commitment in insurance review nurses. Hierarchical multiple regression analysis showed that self-leadership explained an additional 13.9 percentage points of variance in job performance competency and an additional 5.3 percentage points in organizational commitment. Self-leadership emerged as a statistically significant predictor of both job performance competency and organizational commitment. Conclusion: This study empirically demonstrates that self-leadership has significant effects on job performance competency and organizational commitment among insurance review nurses. These findings provide empirical evidence relevant to human resource management strategies for insurance review nurses.
Purpose The aim of this study was to explore the causes and effects of burnout experienced by insurance review nurses working in hospitals.
Methods: Data were collected from April to May, 2021, using focus group interviews. The study enrolled 19 insurance review nurses with at least one year of experience. Data were analyzed using the content analysis method.
Results: Causes of burnout were divided into three categories: eight subcategories (feeling of insufficient competence in an insurance review, closed mind in a limited working space, incompetency from other departments, harsh words and deeds that exclude me, insurance cuts controlling my work performance, cloudy mind chased by the billing date, ineffective hospital information systems, and question with no answer) and 23 causes. The impact of burnout was divided into three categories: six subcategories (experiencing mental and physical symptoms, projecting one’s feelings into family or neglecting them, withdrawing myself, wearing a mask, decreased work performance, and desiring to leave one’s work), and 14 concepts.
Conclusion: This study provides basic data for strategy development to prevent and solve burnout problems among insurance review nurses. It is important to develop programs and policies to solve the burnout problem of insurance review nurses in the future.
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