The Application of Artificial Neural Network in Evaluating the Relationship between Nurses' Empathy, Accountability and Responsibility with Patient Relaxation in Emergency Wards

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MOUSAVI SEYED ALIREZA; Alvani Jamaleddin

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Journal: Journal of Critical Care Nursing Year:2020 | Volume:12 | Issue:3 Page(s): 36-42

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Title

The Application of Artificial Neural Network in Evaluating the Relationship between Nurses' Empathy, Accountability and Responsibility with Patient Relaxation in Emergency Wards

Author(s)

MOUSAVI SEYED ALIREZA | Alvani Jamaleddin | Issue Writer Certificate

Keywords

Artificial Neural NetworksQ1

EmpathyQ1

AccountabilityQ1

ResponsibilityQ1

Patient RelaxationQ1

Quality of ServicesQ1

Abstract

Background and aim: Facing difficult situations have happened to all of us. One of these difficult situations is being informed about having a specific disease which can be extremely shocking and as a result, may cause mental illnesses. The purpose of this study was to investigate the effect of artificial neural network on the effect of nurses 'Empathy, responsiveness and Responsibility on the patients' sense of hospitalization in emergency wards. Methods: This descriptive-correlational study was conducted in January 2020. The statistical population included the patients in the emergency wards of Namazi Hospital of Shiraz. The sample size was calculated using 195 Cochran formula. Samples were selected using available random sampling method. The tool used in this study was a standard questionnaire with a confirmed validity and reliability. Also, the Artificial Neural Networks have been used for data analysis. Results: The mean scores of patients' evaluation of nurses' Empathy were 4. 42 out of 5, Responsibility was 4. 48, responsiveness was 4. 44 and patients' sense of calm was 4. 52. The normalized significance level of the independent variables on the dependent variable according to the ANN spend was calculated as: Empathy 100, Accountability 68. 6 and Accountability 59. 5. Conclusion: In the hospital environment, different behaviors of nurses can have a great impact on the morale of frustrated patients. By creating a sense of Empathy in patients with proper and timely responsiveness and good Accountability (Quality of Services), respected nurses can develop a sense of comfort in their patients.

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APA: Copy

MOUSAVI, SEYED ALIREZA, & Alvani, Jamaleddin. (2020). The Application of Artificial Neural Network in Evaluating the Relationship between Nurses' Empathy, Accountability and Responsibility with Patient Relaxation in Emergency Wards. IRANIAN JOURNAL OF CRITICAL CARE NURSING (IJCCN), 12(3 ), 36-42. SID. https://sid.ir/paper/379805/en

Vancouver: Copy

MOUSAVI SEYED ALIREZA, Alvani Jamaleddin. The Application of Artificial Neural Network in Evaluating the Relationship between Nurses' Empathy, Accountability and Responsibility with Patient Relaxation in Emergency Wards. IRANIAN JOURNAL OF CRITICAL CARE NURSING (IJCCN)[Internet]. 2020;12(3 ):36-42. Available from: https://sid.ir/paper/379805/en

IEEE: Copy

SEYED ALIREZA MOUSAVI, and Jamaleddin Alvani, “The Application of Artificial Neural Network in Evaluating the Relationship between Nurses' Empathy, Accountability and Responsibility with Patient Relaxation in Emergency Wards,” IRANIAN JOURNAL OF CRITICAL CARE NURSING (IJCCN), vol. 12, no. 3 , pp. 36–42, 2020, [Online]. Available: https://sid.ir/paper/379805/en

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