Using Multiple Regressions to Predict (ICU) Intensive Care Unit Nurses Professional Detachment Intent, in Bangalore Multi-Specialty Hospitals, Karnataka
R. K. Prema1, M. Kathiravan2, C. Karthikeyan3, V. Sunitha4

1Dr. R.K.Prema*, Department of Management Studies, Oxford College of Engineering, VTU-University, Bangalore, Karnataka.
2Dr.M.Kathiravan, Department of Management Studies, Oxford College of Engineering, VTU-University, Bangalore, Karnataka.
3Dr. C.Karthikeyan, Director, Department of Management Studies, T. John College of Engineering, Bangalore, Karnataka. 
4V.Sunitha, Assitant Professor, Department of Management Studies, Easwari College of Engineering.
Manuscript received on January 02, 2020. | Revised Manuscript received on January 03, 2020. | Manuscript published on January 15, 2020. | PP: 29-38 | Volume-4 Issue-5, January 2020 | Retrieval Number: E0497014520/2020©BEIESP | DOI: 10.35940/ijmh.E0497.014520
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Abstract: Background/aim: This paper aimsto determine the predictors of ICU nurses intent for professional detachment in Bangalore. It also focuses on identifying the factors which, influence nurses intent to professionally detach from the organization. Materials and methods: A questionnaire survey of 462 nurses employing in multispecialty hospitals in Bangalore was sampled to test the hypothesis. The Health Profession Stress Inventory Scale and the Nursing Stress Scale measures the problem researched. Scale scores were analyzed statistically. Results: The results from Stepwise Multiple Linear Regression showed that nurse person-organization fit, conflict, responsibility & recognition for nurses predict the professional detachment intent of nurses with its standardized β coefficients (β=-0.338; p<0.01), (β=0.142; p<0.05) and (β=-.173; p<0.01) respectively.Conclusion: The present study highlights that there are many factors predicting the professional detachment intent of ICU nurses, more concerned the p-o-f of nurses largely predicts their intent to be professionally detached.
Keywords: Professional detachment, hospitals, ICU nurses, turnover