Cross-sectional study on the determinants of work stress for nurses and intention of leaving the profession.

INTRODUCTION: Occupational stress is one of the main causes of sick leaves among healthcare professionals and it determines high costs to health systems. Monitoring occupational related stress can be an important tool for policy makers. The Italian nursing research gave little attention to nurses' occupational stress. The aims of this study is to estimate the prevalence of occupational stress and evaluate risks factors among Italian nurses in order to evaluate health promotion intervention. METHODS: Cross-sectional study on a convenience sample of nurses from three Italian public hospitals was carried out. The Nursing Stress Scale was administrated together with socio-demographic data information(age, occupational age, family structure etc). The Nursing Stress Scale includes 34 items with a score from 0 to 3. Seven areas of job related stress are investigate in the scale: conflict with physicians, inadequate training, lack of support, conflict with other nurses, workload, uncertainty about treatments, death and suffering. Scores were calculated for each item and for each area. Associations between stress scores and socio-demographic data were analyzed. RESULTS: 231 nurses participated to the study. The two stress areas with the highest scores were "workload" (1.58) and "death and suffering" (1.39). Among the 13 items that exceed the overall mean stress score (i.e. 1.07), five belong to the "workload" area. "Watching a suffering patient" is the single item with the highest mean score. Demographic data associated to higher stress scores are, female gender (p=0.03) and working with night shifts (p=0.02). Intention to leave the nursing profession is associated to higher stress scores (p=0.002). Age, occupational age, time to commute to work, number of children, having disabled relatives at home, were not correlated to higher stress scores. CONCLUSIONS: Our study provides data regarding nurses' occupational stress that was not available before. This data may be useful for policy makers to plan preventive interventions for nurses' job related stress and to reduce nurses' intention to leave.