n this study, questionnaire survey was used to study the relationship between turnover intention, job satisfaction and professional identity of Chinese special educa-tion teachers. Th e results are as follows: Th e average scores of turnover intention are generally low, but still 18.71%, special education teachers tend to leave; the professional identity and job satisfaction of special education teachers is negatively correlated with turnover intention; “Employment Nature, Professional Emotion, Professional Belief, Leadership” are the strongest predictor of turnover intention.
- MeSH
- Personnel Turnover * statistics & numerical data MeSH
- Humans MeSH
- Job Satisfaction MeSH
- Surveys and Questionnaires MeSH
- Regression Analysis MeSH
- Education, Special * statistics & numerical data MeSH
- School Teachers psychology statistics & numerical data MeSH
- Check Tag
- Humans MeSH
- Geographicals
- China MeSH
AIM: To investigate the relationship between turnover intentions and job satisfaction among hospital midwives from seven countries and to determine how the related variables differ between countries. BACKGROUND: Studies investigating professional turnover and job satisfaction among midwives are limited in scope. METHOD: A cross-sectional descriptive survey was used to investigate the intended turnover and job satisfaction relationship among 1190 hospital midwives in European and Asian countries. Data were collected using a set of questionnaires that included questions regarding the leaving intentions of midwives and the McCloskey/Mueller satisfaction scale. RESULTS: Midwives were least satisfied with their extrinsic rewards and professional opportunities and with the balance between family and work. Significant differences were found in all domains of job satisfaction according to midwives' intentions to leave their current workplace in hospital or profession of midwife, and to work abroad. CONCLUSION: There are some general satisfying and dissatisfying elements for the profession of midwife across different countries. IMPLICATIONS FOR NURSING MANAGEMENT: The results highlight the importance of understanding midwives' leaving intentions and related factors across different countries. To prevent midwife turnover, health-care managers should gain greater insight into the early stage of midwives' turnover intention.
- MeSH
- Midwifery statistics & numerical data MeSH
- Adult MeSH
- Personnel Turnover statistics & numerical data MeSH
- Middle Aged MeSH
- Humans MeSH
- Job Satisfaction * MeSH
- Cross-Sectional Studies MeSH
- Surveys and Questionnaires MeSH
- Intention * MeSH
- Nurses psychology MeSH
- Check Tag
- Adult MeSH
- Middle Aged MeSH
- Humans MeSH
- Male MeSH
- Female MeSH
- Publication type
- Journal Article MeSH
- Geographicals
- Czech Republic MeSH
- Italy MeSH
- Republic of Korea MeSH
- Poland MeSH
- Portugal MeSH
- Singapore MeSH
- Slovakia MeSH
INTRODUCTION: Shortages of healthcare workers in Czech and Slovak Republics are associated with factors such as raised migration of professional nurses, decreased number of nurse graduates and ageing workforce. The specific problem is migration of Slovak nurses to the Czech Republic, motivated by higher salaries. AIM: The study aims to investigate the relationship between turnover intentions and job satisfaction among Czech and Slovak nurses and to determine how the related variables differ between the two groups. DESIGN: A cross-sectional descriptive survey was used to investigate the intended turnover and job satisfaction relationship among 1055 hospital nurses recruited from the Czech and Slovak Republics. METHODS: Data were collected using a set of questionnaires that included questions regarding leaving intentions of nurses and The McCloskey/Mueller Satisfaction Scale; three further sets of questionnaires were used. For determining the associations between variables, the Pearson correlations and multiple regression analyses were used. For group comparisons, one-way and multifactorial analysis of variance and Pearson's Chi-square test procedure were performed. FINDINGS: The intention to leave the workplace, the nursing profession and work abroad were predicted by the levels of satisfaction of nurses with their control/responsibility and scheduling. Czech nurses reported higher satisfaction in all subscales of the job satisfaction and less frequent intention to work abroad. An inverse relationship was confirmed between age and turnover intentions. Job satisfaction was positively associated with age and years of experience. Job satisfaction differed by all of three turnover intentions. CONCLUSION: Results highlight the importance of understanding nurses' leaving intentions and related factors and their impact on nurses' lives in both countries so that health care organizations can implement effective strategies to improve the retention of their nursing workforce.
- MeSH
- Analysis of Variance MeSH
- Adult MeSH
- Personnel Turnover statistics & numerical data MeSH
- Humans MeSH
- Salaries and Fringe Benefits statistics & numerical data MeSH
- Job Satisfaction * MeSH
- Cross-Sectional Studies MeSH
- Surveys and Questionnaires MeSH
- Chi-Square Distribution MeSH
- Nurses psychology MeSH
- Check Tag
- Adult MeSH
- Humans MeSH
- Male MeSH
- Female MeSH
- Publication type
- Journal Article MeSH
- Geographicals
- Czech Republic MeSH
- Slovakia MeSH
- Keywords
- sestra,
- MeSH
- Adaptation, Psychological MeSH
- Demography MeSH
- Financing, Organized MeSH
- Personnel Turnover economics statistics & numerical data trends MeSH
- Humans MeSH
- Nursing Evaluation Research methods organization & administration MeSH
- Job Description standards MeSH
- Workload economics psychology MeSH
- Burnout, Professional etiology physiopathology MeSH
- Surveys and Questionnaires standards utilization MeSH
- Stress, Psychological etiology psychology MeSH
- Family MeSH
- Social Adjustment MeSH
- Statistics as Topic MeSH
- Physician-Nurse Relations MeSH
- Nurse Clinicians organization & administration psychology education MeSH
- Check Tag
- Humans MeSH
- Female MeSH
- Geographicals
- Czech Republic MeSH
