بررسي اثرپيش بيني كنندگي عوامل خطرجراحي قلب برمبناي نرم افزار يورواسكور2برباركاري پرستاران بخش مراقبت هاي ويژه جراحي قلب بازمركزآموزشي _درماني حشمت شهررشت درسال1398

Introduction: Increase of the nurses’ workload is one of the major concerns in the health care as it can negatively affect the patients and nurses. The workload of the nurses can’t be estimated only by considering the number of nurses and admitted patients. Therefore, the risk factors increasing the workload of the nurses should be identified before workload eva‎luation. Euroscore II is one of the software applicable in this case. Objective: Determination of the predictive effect of cardiac surgery risk factors based on Euroscore II Software on nursing workload in the ICU Open Heart unit at Heshmat Medical Education Center in Rasht city in 2019. Methods: The present syudy was a cross-sectional study of the type of sampling avalabale on175patients admitted in the ICU open Heart unit at Heshmat Medical Education Center in Rasht city. Demographic and clinical data of the patients were entered into the Euroscore II software to study the cardiac surgery risk factors. Final score of the Euroscore software of each sample was then calculated. Nursing Activities Scale (NAS) was also used to investigate nurses' workload.The total value of this tool varies from 0-178.Finally, the relationship between these two tools was investigated using Pearson correlation coefficient, single and multi-variable linear regression analysis to further assess the effect of cardiac surgery risk factors on the workload of the nurses. Results: The mean workload of the nurses was 75±10, 57±11, 82±14, and 88±21 per 24 hours in the morning, afternoon and night shifts. The mean score of all the cardiac surgery risk factors based on Euroscore II Software was 2.40±2.20. The patients-related, cardiac-related and operation-related factors were also calculated as 0.57±0.40, 0.62±0.40, and 0.15±0.10, respectively. Moreover, among the risk factors of open heart surgery, cardiac-related risk factors (P<0.021, B=1/581 CI95%=2-5), and all the risk factors (P<0.000, B=2.088 CI95%=1-2) were considered as the predictive values of workload of the nurses in the ICU Open Heart units. Conclusion: According to the results, by providing necessary training on the demographic and clinical data collection from the open heart surgery candidates using Euroscore II software and calculated risk score of these patients, it is possible to predict nursing workload in the ICU open heart units. In this way we can properly allocate the nurses to each work shift and increase the nursery care quality. Keywords: Thoracic Surgery , Workload , Nursing Staff, Hospital , Intensive Care Units , Software .

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