Because of limited research on patient safety from a macrolevel perspective, our understanding of how to reduce the risk of system failures that impact patient safety outcomes in Taiwanese healthcare organizations is limited.Purpose:
We conducted this study to explore the relationships between macrolevel factors and patient safety outcomes.Methods:
Structural contingency theory was used as the framework for the study. A cross-sectional design was used, and data were collected from self-administered questionnaires. Head nurses and registered nurses working in 64 in-patient nursing units at three hospitals participated in the study. A tailored design method was used for data collation, and the data collection lasted 3 weeks during the winter of 2010. Data were aggregated from the individual to the unit level, and path analysis was used to examine the hypothesized model.Results:
Sixty-two head nurses (96.8%) and 977 staff nurses (72%) completed and returned the questionnaire. Eta-squared coefficient (η2), interitem consistency (rwg), and F ratio results showed that data at the individual level are appropriate for aggregating to the unit level. These findings show that nursing units with high degrees of professional autonomy, comparatively higher proportions of nursing experts, and relatively large unit sizes tend to have higher rates of medication errors. In addition, we found high degrees of unit technology associated with higher rates of medication errors and patient falls.Conclusions/Implications for Practice:
These findings suggest a link between macrolevel factors and patient safety outcomes. This study shows that redesigning continuing education programs encourages nurses to participate in patient safety training and understand the nursing unit characteristics that enhance patient safety outcomes to improve the patient safety of nursing units.