Predictors of Condom Use Among Youth of the Rural Tigray, Northern Ethiopia: Community-Based Cross-Sectional Study.

Background: Condom is one of the most commonly used and cost-effective HIV preventive measures, particularly in low-income countries. Despite the proven effect of condoms for STI/HIV prevention, there are limited data on its utilization. Hence, this community-based study aimed to assess the level and determinant factors of condom utilization among the youth of the rural Tigray. Methods: This study was part of a large community-based cross-sectional study conducted to assess the utilization of adolescent and youth-friendly health services among randomly selected 631 youth aged 15-24 years from May 23 to June 30, 2018. We used 273 youth who reported having a history of sexual activity during the study period. The data were collected using an interviewer-administered structured questionnaire. Logistic regression analysis was used to determine the independent predictors of the outcome variable and the level of significance was declared at a P-value of <0.05. Results: A total of 273 participants were included in the study. The mean age (+SD) of the respondents was 19.14 (±2.74) years. Only one-third (35.2%) of the respondents used a condom during their last sexual encounter and 51 (53.1%) of them used it consistently. Being married (AOR = 0.17; 95% CI: 0.04, 0.60), respondent's partner attained primary education (AOR = 0.14; 95% CI: 0.04, 0.50), and having multiple sexual partners (AOR = 6.97; 95% CI: 2.09, 23.20) were found to be the determinants of condom utilization. Conclusion: The study participants had a low level of condom utilization. Social and sexual related factors were the major predictors of condom use among the youth. Therefore, focused interventions need to be designed specifically to strengthen condom promotion campaigns.

Magnitude, components and predictors of metabolic syndrome in Northern Ethiopia: Evidences from regional NCDs STEPS survey, 2016.

BACKGROUND: Individuals with metabolic syndrome are five times more susceptible to chronic diseases. Assessment of its magnitude, components, and risk factors is essentials to deploy visible interventions needed to avoid further complications. The study aimed to assess magnitude, components, and predictors of metabolic syndrome in Tigray region northern Ethiopia, 2016. METHODS: Data were reviewed from Tigray region NCDs STEPs survey data base between May to June 2016. A total of 1476 adults aged 18-64 years were enrolled for the study. Multi-variable regression analysis was performed to estimate the net effect of size to risk factors associated with metabolic syndrome. Statistical significance was declared at p-value of ≤0.05 at 95% confidence interval (CI) for an adjusted odds ratio (AOR). RESULTS: The study revealed that unadjusted and adjusted prevalence rate of Metabolic Syndrome (MetS) were (CPR = 33.79%; 95%CI: 31.29%-36.36%) and (APR = 34.2%; 95% CI: 30.31%-38.06%) respectively. The most prevalent MetS component was low HDL concentration (CPR = 70.91%; 95%CI: 68.47%-73.27%) and (APR = 70.61; 95%CI; 67.17-74.05). While; high fasting blood glucose (CPR = 20.01% (95%CI: 18.03-22.12) and (APR = 21.72; 95%CI; 18.41-25.03) was the least ones. Eating vegetables four days a week, (AOR = 3.69, 95%CI; 1.33-10.22), a salt sauce added in the food some times (AOR = 5.06, 95%CI; 2.07-12.34), overweight (AOR = 24.28, 95%CI; 10.08-58.47] and obesity (AOR = 38.81; 12.20-111.04) had strong association with MetS. CONCLUSION: The magnitude of metabolic syndrome was found to be close to the national estimate. Community awareness on life style modification based on identified MetS components and risk factors is needed to avoid further complications.

Knowledge, Attitude, and Practices on Water, Sanitation, and Hygiene among Rural Residents in Tigray Region, Northern Ethiopia.

Background: Poor hygienic practices, inadequate water supply, and poor sanitary conditions play a major role in the spread of infectious diseases. Lack of knowledge, attitude, and practices (KAP) on WASH is one of the most imperative causes for transmission of infectious diseases. Therefore, the aim of this study was to assess knowledge, attitude, and practice of rural residents on water, sanitation, and hygiene in Tigray, Ethiopia. Methods: A community-based cross-sectional study was conducted from June to July 2018. Multistage cluster sampling technique was used to collect data from 759 households in Tigray region, Northern Ethiopia. A standardized questionnaire was used to collect data on knowledge, attitude, and practice on water, sanitation, and hygiene (WASH). Descriptive data analysis was done to present the study findings. Results: The response rate was 99.6%, and 574 (75.9%) of the respondents were females. Good knowledge, favorable attitude, and good practice on WASH were observed in 42.2% (95% CI: 38.7%, 45.7%), 48.5% (95% CI: 44.9%, 52.0%), and 49.2% (95% CI: 45.6%, 52.7%) of the respondents, respectively. Conclusions: Poor knowledge, unfavorable attitude, and poor practice on WASH were common amongst the residents in rural Tigray, Northern Ethiopia. Therefore, the health extension programs at primary health care should be revitalized in a way that can enhance the interventional measures to improve knowledge, attitude, and practice on WASH.

Maternal and perinatal death surveillance and response in Ethiopia: Achievements, challenges and prospects.

BACKGROUND: Maternal and Perinatal Death Surveillance and Response (MPDSR) was a pilot program introduced in Tigray, Ethiopia to monitor maternal and perinatal death. However; its implementation and operation is not evaluated yet. Therefore, this study aimed to assess the implementation and operational status and determinants of MPDSR using a programmatic data and stakeholders involved in the program. METHODS: Institutional based cross-sectional study was applied in public health facilities (75 health posts, 50 health centers and 16 hospitals) using both qualitative and quantitative methods. Data were entered in to Epi-info and then transferred to SPSS version 21 for analysis. All variables with a p-value of ≤ 0.25 in the bivariate analysis were included in to multivariable logistic regression model to identify the independent predictors. For the qualitative part, manual thematic content analysis was done following data familiarization (reading and re-reading of the transcripts). RESULTS: In this study, only 34 (45.3%) of health posts were practicing early identification and notification of maternal/perinatal death. Furthermore, only 36 (54.5%) and 35(53%) of health facilities were practiced good quality of death review and took proper action respectively following maternal/perinatal deaths. Availability of three to four number of Health Extension Workers (HEWs) (Adjusted Odds Ratio (AOR) = 6.09, 95%CI (Confidence Interval): 1.51-24.49), availability of timely Public Health Emergency Management (PHEM) reports (AOR = 4.39, 95%CI: 1.08-17.80) and participation of steering committee's in death response (AOR = 9.19, 95%CI: 1.31-64.34) were the predictors of early identification and notification of maternal and perinatal death among health posts. Availability of trained nurse (AOR = 3.75, 95%CI: 1.08-12.99) and health facility's head work experience (AOR = 3.70, 95%CI: 1.04-13.22) were also the predictors of quality of death review among health facilities. Furthermore; availability of at least one cluster review meeting (AOR = 4.87, 95%CI: 1.30-18.26) and uninterrupted pregnant mothers registration (AOR = 6.85, 95%CI: 1.22-38.54) were associated with proper response implementation to maternal and perinatal death. Qualitative findings highlighted that perinatal death report was so neglected. Community participation and intersectoral collaboration were among the facilitators for MPDSR implementation while limited human work force capacity and lack of maternity waiting homes were identified as some of the challenges for proper response implementation. CONCLUSION: This study showed that the magnitude of: early death identification and notification, review and response implementation were low. Strengthening active surveillance with active community participation alongside with strengthening capacity building and recruitment of additional HEWs with special focus to improve the quality of health service could enhance the implementation of MPDSR in the region.