ASSESSEMENT OF INTENTION TO LEAVE AND ASSOCIATED FACTORS AMONG HEALTH WORKERS IN WESTERN ZONE TIGRAY, ETHIOPIA

Abstract

Summary Intention to leave that decreased affective commitment, job satisfaction the study adds to our understanding by examining the similarities and differences in predictors of intention to leave and turnover. Results indicated, perceived organizational support and age predicted intention to l eave. In contrast, decreased performance, continuance commitment and increased intention to leave predicted actual turnover. Implications for these differences in understanding the turnover process are discuss This research expanded understanding of the key antecedents of intention to leave and employee turnover in a sample of retail banking employees from a large Australian Intention to leave were investigated. Results indicated that high performing employees with a strong promotion focus or high affective commitment reported significantly lower intention to leave compared to lower forming employees The objective of the study is assessment of intention to leave and associated factors among health workers in Western Tigray. The purpose of this study is to improve the retention of health workers through exploring and assessing their quality of work life (QWL) and turnover intention. The objective of the study is assessment of intention to leave and associated factors among health workers in Western Tigray. Methods: A facility based cross sectional study will be conducted among health workers found in western Tigray. Random sampling technique will be used. The data will be collected by trained data collectors. After the data has been collected it will be cleaned and analyzed by SPSS version 20 statistical software. Finally the data will be presented by using frequencies, percentages, mean, and standard deviation. To see the association, strength of the association and direction of the association bivariate logistic regression and the final determinant factors of job satisfaction will be determined using stepwise multivariate logistic regression. Work plan and Budget: The project will start in . Five month 01 Nov to 31March, 2016 The total budget required for the project Key words: intention to leave health workers