Abstract:
Commitment is defined in multi-dimensions and has three components such as affective
commitment, normative commitment and continuance commitment. Low employee commitment
leads to employee absenteeism and turnover which in turn leads to crisis of the public service
provision. The main aim of this study is to assess factors affecting employee commitment in
Burayu and Holata Town Administration Health Centers, 2020. The study employed institutional
based cross-sectional quantitative study design. Multiple linear regressions were applied for
data analysis. The Census method was applied for the sample selection. The data was entered in
to SPSS version 20.0 for statistical analysis. The Commitment score (mean =3.5220, Standard
deviation = .4879), Leadership score (mean=3.6495, Standard deviation =.63461),
Compensation score (mean=2.2674, Standard deviation =1.12478), Training and Development
score (mean=3.1319, Standard deviation = .88718) and Personal Protective Equipment for
Covid-19 score (mean=2.8631, Standard deviation =.92409). Pearson’s product-moment
correlation coefficient analysis shows that the predictors score and outcome variable were
positively correlated and significant at P<.05 except Training and Development score (.197). It
is concluded that among the candidate socio-demography factors only marital status of the
respondents significantly affects the commitment while others have no predictive effect on the
commitment. There was positive relationship between and significant effect of predictors
(leadership mean score, Compensation mean score and Personal Protective Equipment for
Covid-19 mean score). However, training and development mean score has no effect on the
outcome variable mean score. It is recommended that the health offices managers and health
centers directors should pay attention to improve workers affection towards the health centers;
and the next researchers should do additional investigation on the factors affecting the
commitment of health workers in offices and hospital level
