BackgroundEthiopia is the second most populous country in Africa with a total fertility rate (TFR) of 4.8 children per a woman and contraceptive prevalence rate (CPR) of 29 %. The overall prevalence of modern family planning in a pastoralist community, like Afar region, is low (9.1 %). This study aimed to assess family planning utilization and associated factors among married women of Afar region, Eastern Ethiopia.MethodsA community-based cross-sectional study was conducted from January 10-28, 2013 among 602 women. Multistage sampling technique was used to select the study participants. Descriptive and multiple variable logistic regression analyses were done to isolate independent predictors on utilization of family planning using SPSS 20.ResultsThe overall prevalence of family planning utilization in Afar region was 8.5 % (6.2–10.7). Majority of the women (92.2 %) had used injectable. The most common reasons mentioned in the non-use of family planning methods were religion-related (85.3 %), desire to have more children (75.3 %), and husband's objection (70.1 %). Women who had a positive attitude towards family planning utilization (AOR = 4.7, 95 % CI: 2.1, 10.3), owning radio (AOR = 1.8, 95 % CI: 1.02, 4.18), and literate (AOR = 4.4, 95 % CI: 1.80, 11.08) were more likely to use family planning methods as compared to their counterparts. The increase of monthly income was also associated with the likelihood of family planning methods utilization. The odds of using family planning methods were higher among those with monthly income of $27–$55.5 (AOR = 2. 0, 95 % CI: 1.9, 4.7) and > $55 (AOR = 4. 6, 95 % CI: 1.23–17.19) as compared to women with the lowest category of monthly income ($27 and less).ConclusionThe low coverage of family planning in the region could be due to the influence of husband, religious and clan leader. Attitude of women towards family planning methods, possession of radio, monthly income, and educational status could influence family planning utilization.

Despite growing efforts to increase HIV testing and counselling (HTC) services for most at risk populations in Ethiopia, the use of these services by female sex workers (FSWs) remains low. With rising numbers of FSWs in Addis Ketema and concerns about their high risk behaviours, exploring and addressing the barriers to uptake is crucial. This qualitative study explores the barriers to utilising HTC facilities and identifies the motives and motivations of FSWs who seek HTC through in-depth and semi-structured interviews with female sex workers, healthcare workers and key informants. Results indicate that FSWs face numerous barriers including inability to seek treatment if found to be positive due to the requirement of an identity (ID) card many do not own. Many FSWs reported discriminatory behaviour from healthcare workers and a lack of dedicated services. What is clear from the findings is that distinct strategies, which differ from those of the broader population, are required to attract FSWs--strategies which take into account the barriers and maximise the reported motives and motivations for testing.

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Purpose: Trachoma is to be eliminated as a public health problem by 2020. To help the process of planning interventions where needed, and to provide a baseline for later comparison, we set out to complete the map of trachoma in Afar, Ethiopia, by estimating trachoma prevalence in evaluation units (EUs) of grouped districts (“woredas”). Methods: We conducted seven community-based surveys from August to October 2013, using standardised Global Trachoma Mapping Project (GTMP) survey methodologies. Results: We enumerated 5065 households and 18,177 individuals in seven EUs covering 19 of Afar’s 29 woredas; the other ten were not accessible. 16,905 individuals (93.0%) were examined, of whom 9410 (55.7%) were female. One EU incorporating four woredas (Telalak, Dalefage, Dewe, Hadele Ele) was shown to require full implementation of the SAFE strategy for three years before impact survey, with a trachomatous inflammation-follicular (TF) prevalence in 1–9-year-olds of 17.1% (95%CI 9.4–25.5), and a trichiasis prevalence in adults aged ≥15 years of 1.2% (95%CI 0.6–2.0). Five EUs, covering 13 woredas (Berahle, Aba’ala, Dupti, Kurri, Elidihare, Ayesayeta, Afamboo, Bure Mudaitu, Gewane, Amibara, Dulecho, Dalolo, and Konebo), had TF prevalences in children of 5–9.9% and need one round of azithromycin mass treatment and implementation of the F and E components of SAFE before re-survey; three of these EUs had trichiasis prevalences in adults ≥0.2%. The final EU (Mile, Ada’ar) had a sub-threshold TF prevalence and a trichiasis prevalence in adults just >0.2%. Conclusion: Trachoma is a public health problem in Afar, and implementation of the SAFE strategy is required.

Purpose: The prevalence of trichiasis is higher in females and increases markedly with age. Surveys carried out in the daytime, particularly in developing countries, are prone to find older individuals and females at home at the time of the survey. Population-level trichiasis estimates should adjust sample proportions to reflect the demographic breakdown of the population, although the most accurate method of doing this is unclear. Methods: Having obtained data from 162 surveys carried out in Ethiopia as part of the Global Trachoma Mapping Project from 2012 to 2015, we used internal validation with both Brier and Logarithmic forecast scoring to test stratification models to identify those models with the highest predictive accuracy. Selection of partitions was undertaken by both simple random sampling (SRS) and cluster sampling (CS) over 8192 selections. Results: A total of 4529 (1.9%) cases of trichiasis were identified from 241,139 individuals aged ≥15 years from a total of 4210 kebeles and 122,090 households visited. Overall, the binning method using 5-year bands from age 15 to 69 years, with coarser binning in 20-year age-bands above this age, provided the best predictive accuracy, in both SRS and CS methodologies and for both the Brier and Logarithmic scoring rules. Conclusion: The greatest predictive accuracy for trichiasis estimates was found by adjusting for sex and in 5-year age-bands from the age of 15 to 69 years and in 20-year age-bands in those aged 70 years and greater. Trichiasis surveys attempting to make population-level inferences should use this method to optimise surgery backlog estimates.