Job-related meaningfulness moderates the association between over-commitment and emotional exhaustion in nurses
| Autor: | Alexandra Kautzky-Willer, Gerhard Blasche, Michael Kundi, Heidemarie Abrahamian, Petra Schadenhofer, Harald Stummer |
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| Rok vydání: | 2018 |
| Předmět: |
Adult
Male Leadership and Management Nurses Intention Burnout Job Satisfaction Structural equation modeling 03 medical and health sciences Cronbach's alpha Surveys and Questionnaires 0502 economics and business Humans Workplace Emotional exhaustion Nursing management Burnout Professional Logotherapy 030504 nursing 05 social sciences Middle Aged Cross-Sectional Studies Austria Female Job satisfaction Occupational stress Compassion Fatigue 0305 other medical science Psychology 050203 business & management Clinical psychology |
| Zdroj: | Journal of Nursing Management. 26:820-832 |
| ISSN: | 0966-0429 |
| DOI: | 10.1111/jonm.12602 |
| Popis: | AIM To evaluate characteristics of job-related meaningfulness, and to assess its potential to moderate the relationship between over-commitment and emotional exhaustion in nurses. BACKGROUND Increased demands on nurses may induce vulnerability to emotional exhaustion, decrease job satisfaction, and increase their intention to quit the job. The experience of job-related meaningfulness through meaning-centred logotherapy and counseling could be a resource to prevent emotional exhaustion. METHOD Nurses (n = 466; 73% female) at an Austrian tertiary-care hospital participated in a cross-sectional survey for assessment of job-related meaningfulness by the newly developed CERES (Concern, Enthusiasm, Relevance, Efficacy, Satisfaction) scale. CERES was tested for its moderating interaction with over-commitment (assessed by the Effort-Reward Imbalance Questionnaire) to prevent emotional exhaustion (as measured by the Maslach Burnout Inventory) by structural equation modelling. RESULTS The CERES scale consisting of five items has satisfactory internal consistency (Cronbach's alpha: .78). Over-commitment correlated significantly (p |
| Databáze: | OpenAIRE |
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