Background: In Ethiopia, cervical cancer is the second most frequent cancer among women aged 15 to 44 years old. Cervical cancer screening is an effective measure to enhance the early detection of cervical cancer for prevention. However, the magnitude of cervical cancer screening is less than 1%. This study aimed to determine the influence of sociodemographic characteristics and related factors on screening. Method: A hospital-based cross-sectional study has been conducted from July to September 2017. Data have been collected using interviewer-administered questioner among 425 women (18-49 years age) who visited the family health department at St. Paul's Hospital. Descriptive statistics, chi-square, univariate and multivariate logistic regression were used for data analysis. Result: Of the 425 study participants, only 12.2% of women have been screened within the past 3 years. Women in the age range of 40-49 years old were more likely to be screened (36.1%) than women age 18-29 years (8%). Women living in urban were more likely to be screened (15.9%) than women living in rural (3.9%). Other factors including low monthly income, unlikely chance of having cancer, lack of knowledge, and fear test outcome were significantly associated with the low uptake of screening. Conclusion: This study revealed that the uptake of cervical cancer screening was low. Women in the potential target population of cervical cancer screening were just a proportion of all studied age groups and screening in them was more common than in younger women. Besides, rural residence, low monthly income, and lack of knowledge were important predictors for low utilization of cervical cancer screening practice.

Background Depression is one of the most commonly occurring mental disorders globally and it is increasingly prevalent among university students. This systematic review and meta-analysis will provide the pooled prevalence of depression and associated factors among university students in Ethiopia. Method The studies will be identified from data base of PubMed, Google scholar, EMBASE and reference lists of previous studies. All cross-sectional studies reporting the prevalence of depression among university students in Ethiopia will be included. In order to transform the prevalence of extracted studies we will use Freeman-Tukey transformation (arcsine square root transformation and the pooled proportion will be calculated using the back-transformation of the weighted mean of the transformed proportions, using inverse arcsine variance weights for the fixed-effects model and DerSimonian-Laird weights for the random-effects model. The Cochrane Q test and I2 test statistic will be used to test heterogeneity across studies. Meta regression and Subgroup analyses will be performed to explore source of Heterogeneity between studies and evidence of publication bias will also be assessed. Discussion Estimating the prevalence of depression among university student will help policy-makers and other stakeholders in developing evidence-based mental health promotion and prevention programme in university settings. Systematic review registration: PROSPERO CRD42023418350