Assessment of Job Satisfaction Level and Its Associated Factors among Health Workers in Addis Ababa Health Centers: A Cross-Sectional Study

Abstract

Health workers account for the largest share of public expenditures on health and play an important role in improving the quality of health services. There is concern that poor health worker performance limits the effectiveness of health systems strengthening efforts. A cross-sectional study was conducted from September to October 2016 in Addis Ababa health centers. Data were collected from 420 healthcare workers using a pretested and structured questionnaire by trained data collectors. EPI Info 7 was used for data entry, and analysis was done by SPSS version 20. Bivariate and multivariate logistic analyses were used to identify factors associated with the outcome variable and to control confounders. P values less than 0.05 were considered statistically significant. The overall job satisfaction level accounts for 53.8% with 95% CI of (48.9%, 59.0%). Marital status and professional qualification were the potent predictors of job satisfaction. Respondents who never married were 1.65 times more likely to be satisfied in their job than those married or divorced (AOR: 1.65 (95% CI: 1.02, 2.66)). Laboratory professionals and nursing professionals were 2.74 and 1.97 times more likely to be satisfied in their job compared to health officers (AOR: 2.47 (95% CI: 1.14, 6.59) and AOR: 1.97 (95% CI: 1.12, 3.48), respectively). More than half of the healthcare workers in the study area were satisfied in their job. Marital status and healthcare workers’ profession type were predictors of job satisfaction. Research studies indicate that there is a positive relationship between performance and job satisfaction. Accordingly, the present study aimed at determining the level of job satisfaction of health workers and its associated factors in the health centers of Addis Ababa, Ethiopia.

Assessing Health Care Workers’ Satisfaction and Loyalty in a Balanced Scorecard: Development and Validation of BSC-HCWSL - a Cross-sectional Study

“…Strategies to improve safety in the work environment could improve job satisfaction [21,27]. On the other hand, the lack of equipment or medication [23,29], such as the nonavailability of personal protective equipment during the pandemic, increased dissatisfaction [30]. Moreover, a high workload and HCW shortage negatively in uenced HCWs' job satisfaction [23,27,29].…”

“…In addition to the previously mentioned BSC perspectives, sociodemographic factors also impacted HCWs' job satisfaction. Sociodemographic factors were the HCWs' profession type and marital status [29]. For example, educational level was found to have an inverse relationship with job satisfaction [26].…”

How to Engage Health Care Workers in the Evaluation of Hospitals: Development and Validation of BSC-HCW1—A Cross-Sectional Study

“…Because of the large number of KPIs, we narrowed our focus to those that are directly related to the demands of HCWs at each BSC perspective. In tandem with reviewing 34 studies in the literature [ 2 , 6 , 21 , 22 , 23 , 24 , 25 , 26 , 27 , 28 , 29 , 30 , 31 , 32 , 33 , 34 , 35 , 36 , 37 , 38 , 39 , 40 , 41 , 42 , 43 , 44 , 45 , 46 , 47 , 48 , 49 , 50 , 51 , 52 ], we separately examined 77 causal linkages between each BSC dimension or KPIs and HCW satisfaction and loyalty, as explained in the perspectives below. We made this choice since HCW satisfaction was deemed one of the latest affected perspectives in the strategic maps [ 53 ].…”

“…Strategies to improve safety in the work environment could improve job satisfaction [ 21 , 47 ]. On the other hand, the lack of equipment or medication [ 24 , 49 ], such as the nonavailability of personal protective equipment during the pandemic, increased dissatisfaction [ 25 ]. Moreover, a high workload and HCW shortage negatively influenced HCWs’ job satisfaction [ 21 , 24 , 46 , 49 ].…”

“…In addition to the previously mentioned BSC perspectives, sociodemographic factors also impacted HCWs’ job satisfaction. Sociodemographic factors related to HCWs can be HCWs’ age [ 46 ], gender [ 46 ], profession type [ 24 ], specialty [ 46 ], marital status [ 24 , 46 ], years of work [ 46 , 52 ], and educational level [ 52 ]. Years of work were negatively associated with job satisfaction [ 52 ].…”