Impact of Nursing Informatics Competency on Clinical Decision-Making Skills among Nurses in the Palestinian Governmental Hospitals. رسالة ماجستير

Abstract

Introduction Nursing informatics (NI) is an innovative and evolving field that has been acknowledged nursing as a profession. Nursing informatics (NI) helps the decision making of health care providers (Elsayed, El-Nagger, & Mohamed, 2016). Decision-making skills differentiate qualified nurses from other auxiliary healthcare workers (Hughes & Young, 1990). For healthcare professional, the consequences of decisions often are high-risk, leave no space for error. After all, the current health care system has evolved to make nurses more responsible and accountable (Saintsing, Gibson, & Pennington, 2011). This study will, therefore, evaluate “the impact of nursing informatics competency on clinical decision-making among nurses”. Purpose of the study The purpose of current study was to “evaluate the impact of nursing informatics competency on clinical decision-making among nurses in the governmental hospitals at West Bank”. Method of the study A cross sectional study conducted in fourteen Palestinian governmental hospitals. The nursing departments that participated in the study included surgical, medical, critical care, and operation rooms and emergency. The study utilized is Self-Assessment of Nursing Informatics Competencies Scale to assess the nursing informatics competency and Clinical Decision Making in Nursing Scale to assess clinical decision making. VI Results Eight hundred and twenty four out of 951 questionnaires (86.7% response rate) were completed and returned by the nurses. There was a moderate positive correlation between nursing informatics competency and clinical decision making (r= 0.28, p < 0.01). There was also a weak correlation between clinical decision making and Time Spent on EMR during shifts (r = 0.084, p < .05). Also, regression analyses displayed that nursing informatics competency accounts for 7.9% of the variance in decision making. Once all personal and job-related characteristics were entered into the model, R2 was increased by another 0.6%, making the total explained variance reach 8.5%. Conclusion The study confirmed the positive impact of nursing informatics on clinical decision-making as a result of the increase and growth of knowledge and its management in clinical decision-making. Also, the study supports that nursing informatics competency was a great predictor of clinical decision making