The assessment of job satisfaction for the healthcare providers in university clinics of Lubumbashi, Democratic Republic of Congo

Introduction: In the world, the health policies are necessary to satisfy with efficiency the requirements of the quality management in the health sector. The laboratory of the academic clinics of Lubumbashi in Africa was inspired by the EFQM model to improve its performance and the quality of its services offered to the community. The aim of this survey is to evaluate the level of job satisfaction of the healthcare providers after implementation of the model. Methods: Qualitative study used an anonymous questionnaire consisted of 16 semi directional dichotomous and 12 according to four modality of the Likert's scale; to evaluate the job satisfaction of the healthcare providers. 40 workers are concerned and their informed consent is obtained. Epi Info 3.5.3 and SPSS 19.0 software, the Student t test and Chi-square test and the threshold set at p <= 0.05 were used. The mean score was calculated. Cronbach's ' coefficient and principal component analysis allowed the validity measurement of the questionnaire, and the correlations has been calculated. Results: This survey had a rate of answer of 80% on a set of all questionnaires. The Cronbach's coefficient of reliability is 0.72 on 40 complete observations with 12 questions. The Kaiser Meyer Olkin (0.564) and the Bartlett test is significant (x(2)= 57, 30, p=0.001). The Physicians are very dissatisfied (2.363) against the nurses, and the biologists who are moderately dissatisfied (3 and 3.312). The relative results to the global satisfaction of the workers show a meaningful difference between the workers satisfied versus those non satisfied (p = 0.003). More of the half of the workers is satisfied after the setting up of the EFQM model. Conclusion: A certain number of the factors act together and simultaneously on the satisfaction of the workers particular in the health sector. The EFQM model permits the job satisfaction in the hospital because it combines several factors acting on the individuals.