Introduction: High level of professional satisfaction among health workers earns high dividends such as higher worker force retention and patients satisfactionObjective: To assess level of employees` satisfaction and associated factors among employees` working in Adama hospital medical college town from January to March 2019.Methods: institution based cross-sectional study design was employed. About 389 employees were interviewed.Multi variable logistic regression analysis was used to identify the relationship among predictors and outcome variable. P-value <0.25 will be used as cutoff point for variable to be candidate for multi variable logistic regression. P-value <0.05 and Adjusted odds ratio at 95% level of significance will be used to declare predictors of employees satisfaction.Results: A total of 389 study participant responded to the questionnaires with response rate of 92.20%. More than half 212(54.5%) were male and the mean age of study participants were 32.24 years (SD± 7.87). The overall level of job satisfaction was 185(47.6%) (95%CI: 1.43, 1.53). Factors like shisha smoking (AOR, 0.4; 95% CI: 0.01, 0.44), Co-workers relationship (AOR, 2.85; 95% CI: 1.21, 6.72), working environment (AOR, 4.08; 95% CI: 1.98, 8.41), autonomy at their working (AOR, 4.40; 95% CI: 1.89, 11.19), commitment for their organization (AOR, 2.48; 95% CI: 1.20, 5.10), performance evaluation (AOR, 5.69; 95% CI: 2.53, 12.80), promotion or growth opportunity (AOR, 9.58; 95% CI: 4.11, 22.32) and relationship with immediate supervisor (AOR,4.59; 95% CI: 1.89, 11.19) shows significant association with employees` job satisfaction.Conclusion and recommendation: The overall level of employees` satisfaction is low. The organization should work on factors associated with employees` job satisfaction in order to increase satisfaction levels of employees.
The aim of the study was to assess the effectiveness of focused family planning counseling (FFPC) in increasing postpartum intrauterine contraceptive device (PPIUCD) uptake among mothers who gave birth in the public health facilities of the towns of Adama and Olenchiti from April 1 to May 30, 2017. Methods: A quasi-experimental study design was employed, taking a sample of 726 postpartum mothers: 484 in the non-intervention group (NIG) and 242 in the intervention group (IG). Focused family planning counseling was given to the IG using a newly designed cue card adapted from World Health Organization (WHO) guidelines and developed based on the constructs of the health belief model. Counseling based on a routine counseling approach was given to the NIG. The interviewer administered a semi-structured questionnaire for data collection. Data were analyzed using SPSS software, version 20. Descriptive statistics were used to characterize the study participants. The difference in the proportion of PPIUCD uptake in the two groups was tested using an independent Z-test at an alpha level of 0.05. Binary logistics regression was used to identify factors associated with the odds of taking IUCD. The significance of association was declared for P-values less than 0.05. Results: The proportion of PPIUCD uptake in the IG [12.4%; 95% CI: 8.6, 17.4] was significantly higher than in the NIG [4.8%; 95% CI: 2.9, 6.7] with a P-value = 0.000. The odds of IUCD uptake among the IG was about 6 times higher (AOR: 5.92; 95% CI: 2.79, 12.60) than in the NIG. In addition, being unmarried women (AOR: 12.96; 95% CI: 4.30, 34.56), having higher education (AOR: 3.07; 95% CI: 1.13, 8.36), grand multiparity (AOR: 3.76; 95% CI: 1.58, 8.95), making a mutual decision (AOR: 0.16, 95% CI: 0.07, 0.38) and having a better knowledge of family planning (AOR: 5.92, 95% CI: 2.79, 12.60) were factors associated with uptake. Conclusion: Providing FFPC immediately increases PPIUCD uptake. The uptake was also associated with marital status, education, parity, decision and knowledge on family planning.
Methods: A prospective cohort study design was employed, taking a sample of 854 patients selected from eight treatment centers in the region. The follow-up duration was the time interval from admission to the treatment center until the final disposition of patients at discharge (death, recovery, or failed to recover). Data were collected by computer tablet with an interviewer-administered questionnaire and checklist designed using CSPro 7.5 and exported to Stata 13 for analysis. Descriptive analysis was used to explore the characteristics of patients. The mortality rate was estimated by number of deaths per 1,000 person-days of observation. The survival duration was estimated by medians with IQR. The Kaplan-Meier method was used to compare the survival experiences of patients. To identify the predictors of time to death after hospitalization, a Cox proportional-hazard model was used. The magnitude of association was estimated using HRs with 95% CIs, and statistical significance was set at P<0.05. Results: The mortality rate among hospitalized patients was 9.9 per 1,000 person-days of observation and the median survival time after admission was 9 (IQR 9-10) days. Higher hazard of death was observed among patients who drank alcohol (AHR 2.0, 95% CI 1.2-3.3), required anticoagulants (AHR 10, 95% CI 1.2-91.5), glucocorticoids (AHR 1.7, 95% CI 1.1-2.8), and oxygen (AHR 4.7, 95% CI 1.1-22.0), those with acute respiratory distress syndrome (AHR 2.9, 95% CI 1.7-5.1), and critical patients admitted to intensive care units (AHR 3.4, 95% CI 2.0-5.9).
Conclusion:The hazard of death is significantly predicted by alcohol use, requiring anticoagulants, glucocorticoids, or oxygen medication, acute respiratory distress syndrome complication, and being critical when admitted to intensive care units.
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