A Study on Socio-Demographic Variables and Its Influence on Job Satisfaction among Tertiary Care Hospital Nurses
Journal: International Journal of Science and Research (IJSR) (Vol.5, No. 12)Publication Date: 2016-12-05
Authors : J. Indumathy; M. Ravichandran;
Page : 1416-1419
Keywords : Nurses; Experience; Job Satisfaction; tertiary care Hospitals; Demographic factors;
Abstract
Nursing profession is considered as one of the most important occupations in health care delivery system. Nurses have a great potential to impact the health care delivery system, and this depends on some crucial factors to do their job unhindered. The present study aims at determining the effect of some select socio-demographic factors on job satisfaction of nurses.66 nurses from randomly selected tertiary care hospitals in Malappuram district were included. The study factors include age, gender, and marital status, department of their work, educational level, and job experience. Results of the Simple percentage analysis shows that majority of the nurses 53 % are in the age group of18 years to 20 years, 69.7 % of nurses are female and 53 %of them are married, 51.5 % of the nurse have completed M sc in nursing, monthly income of (83.3 %) majority of nurses were below Rs 25001, 51.5 % of the nurses have a work experience below three years, and 81.8 % of them work in ward. And the ANOVA study revealed a significant relationship between genders, designation of nurses, nature of institution with level of job satisfaction of nurses. And there is no association found between levels of job satisfaction, age, marital status monthly income, qualification and years of experience. This study provides information to hospital administrators for better planning and framing policies to satisfy and retain the nurses in their hospital which helps in delivering better patient care
Other Latest Articles
- An Assessment of Health Status of Seasonal Migrant Brick Kiln Workers of Jorhat District of Assam
- Anticancer Property of Simple Ascidian Phallusia Nigra Savigny, 1816 against MDA-MB-231 Cells
- Automatic Pathological Analysis of Diabetic Retinopathy Using Minimal Feature Vector Classifier
- Clinical Study of Lens Induced Glaucoma
- Drilling Parameter Optimization Based On Single Tooth Intrusive Theory
Last modified: 2021-07-01 14:48:53