Learning Objective #1: Describe the use of secondary data analysis in the measurement of patient outcomes. | |||
Learning Objective #2: Explain the relationship between nurses'satisfaction and patient satisfaction. |
Design: A descriptive, exploratory design was selected to answer two research questions: 1. What is the relationship between nurse’s job satisfaction and: total nursing hours per patient day; RN hours per patient day; overall patient satisfaction and; patients’ satisfaction with nursing care? 2. Which components of nurses’ job satisfaction impact patient’s overall satisfaction and satisfaction with nursing care?
Methodology: Third quarter NDNQI and Gallop data from critical care, progressive, and general medical-surgical units (n=8) in one large acute care general hospital for 2005 and 2006, were subjected to statistical analysis using Spearman’s rho at the p<.05 level of significance.
Findings: Significant positive correlations were found between: 1. total nursing hours per patient day and overall patient satisfaction (p=.004, 2005; p=.001, 2006) and patients’ satisfaction with nursing care (p=.047, 2005; p=.002, 2006) and; 2. RN hours per patient day and overall patient satisfaction (p=.000, 2005 and p=.001, 2006) and patients’ satisfaction with nursing care (p=.021, 2005 and p=.028, 2006) . Elements of nurses' job satisfaction showed no relationships to patient satisfaction in 2006. In 2005 significance occurred between: 1. tasks (p=.010) and time for patient care (p=.000) and patients’ overall satisfaction and; 2. between tasks (p=.000) and time for patient care (p=.004) and patients’ satisfaction with nursing care. Conclusion: We demonstrated the potential value of using existing data sets to test nursing hypotheses related to unit characteristics and patient outcomes.