Magnitude and Predictors of In-Hospital Stroke Mortality in Ethiopia: A Systematic Review and Meta-Analysis.

Introduction: Stroke is the second leading cause of mortality worldwide, accounting for approximately 5.5 million deaths each year. Due to demographic and health changes, the epidemiology of stroke is shifting from industrialized to low- and middle-income nations. Ethiopia is a developing country with a population that reflects this shift. Therefore, this systematic review and meta-analysis are aimed at evaluating the extent of in-hospital mortality of both ischemic and hemorrhagic stroke in Ethiopia and determining relevant factors associated with the mortality. Methods: Observational studies published as of July 15, 2020, that reported the magnitude, predictors, and causes of in-hospital mortality of stroke were systematically and comprehensively retrieved using the PRISMA 2020 criteria from databases such as PubMed/MEDLINE, Science Direct, and Google Scholar. The review papers were chosen based on the study methodology (facility-based observational), the study area (Ethiopia), the study population (adult patients with stroke), the outcome (in-hospital mortality), and the fact that they were published in English. Result: A total of 3709 patients with stroke were included in this systematic review and meta-analysis, which included 19 publications. In-hospital mortality was 14.03 percent on average in the studies, with reports ranging from 6.04 percent to 37.37 percent. Patients with hemorrhagic type stroke, admission Glasgow Coma Scale less than or equal to 12, impaired mental status, National Institutes of Health Stroke Scale stroke level greater than 13, prolonged hospital stay, any incontinence, pneumonia, and/or swallowing trouble had an increased risk of death after stroke. Conclusion: The magnitude of in-hospital mortality of patients with stroke in Ethiopia is high. The assessment of the level of consciousness is vital for clinical management and as an indicator of prognosis. Patients with unfavorable prognostic signs, such as entry Glasgow Coma Scale, National Institutes of Health Stroke Scale stroke level > 13, hemorrhagic stroke, pneumonia, incontinence, and dysphagia, should be given priority.

Nutritional paradox in Ethiopian women: Multilevel multinomial analysis.

BACKGROUND: Nutrition-related diseases have emerged at a faster rate in lower economic conditions before the battle against poverty and undernutrition has been won. In Ethiopia, the double burden of malnutrition seems to come sooner. The present study aims to determine the prevalence and identify the determinants of malnutrition among reproductive-age women using the 2016 Ethiopian Demographic and Health Survey dataset. METHODS: Data from Ethiopian Demographic and Health Survey 2016 were used to identify individual and community-level associated factors of malnutrition among reproductive-age women. Nonpregnant, non-puerperal women aged 15-49 were included. Six hundred forty-two communities and 11,513 women were involved from this nationally representative data. The analysis was done using multi-level mixed-effects multinomial logistic regression to determine fixed effects of individual and community-level factors and random intercept of between characteristics. RESULTS: Thirty-seven percent of the women had malnutrition generally. One-quarter of Ethiopian women were underweight and 11.8% were overweight/obese. Household wealth, women's age and contraceptive use were individual factors negatively associated with undernutrition. Region, place of residence and community-level wealth were cluster characteristics associated with undernutrition. On the other hand, the educational status of women, household wealth index, women's age, contraceptive use, breastfeeding, region and place of residence were the factors associated with overweight. Wealthier women had lowest of the odds for undernutrition OR = 0.84 (95% CI, 0.71, 0.98: P-value < 0.05). Middle-aged women had lower odds of being underweight, whereas reproductive-age extremities on both ends were prone to malnutrition. Modern contraceptive use had decreased the odds of being underweight OR = 0.71 (95% CI 0.63, 0.81 P-value <0.05). Women residing in rural areas had higher odds for undernutrition OR = 1.31 (95% CI 1.10, 1.56: p-value <0.001). In the same scenario, wealthier cluster had lower odds for undernutrition as rivalled with poorer clusters OR = 0.75 (95% CI 0.65, 0.87: P-value < 0.0001). CONCLUSION: Nutritional paradox in the form of overweight/obesity and underweight exists in Ethiopian women. Underweight has a high prevalence and it is in a serious situation, whereas, the burden of overweight/obesity is rising. Both individual and community-level characteristics were significant predictors of malnutrition in Ethiopian women. Besides, the individual-level factors, interventions should also consider community-level associates in tackling malnutrition.

Proximate determinants of infant mortality in Ethiopia, 2016 Ethiopian demographic and health surveys: results from a survival analysis.

BACKGROUND: In Ethiopia, large scale health care efforts had been done to promote infant health and survival. However, nationwide data is lacking on the survival status and proximate determinants of infant mortality in Ethiopia. Therefore, this study was aimed to identify the survival status and determinants of infant mortality in Ethiopia using Ethiopian Demographic and Health Survey (EDHS). METHODS: The data source for this study was the 2016 Ethiopian Demographic and Health Survey. Records of all 10,641 live births and survival informations of all 2826 infants born 5 years before the survey were reviewed. Kaplan-Meier method and Cox proportional hazards regression model were employed to identify the proximate determinants associated with the infant mortality. RESULTS: The results of Kaplan-Meier estimation showed that the highest infant deaths occurred in the early months of life immediately after birth and declined in the later months of follow-up time. About 65% of infant deaths occurred during the first month's of life. Using the Cox proportional hazard model we found that: mothers' level of education, preceding birth interval, plurality, size of child at birth and sex of child as significant predictors of infant mortality. The risk of dying in infancy was lower for babies of mothers with secondary education (RR = 0.68, 95% CI: 0.56-0.98), higher education (RR = 0.51, 95% CI:0.45-0.80), for preceding birth interval longer than 47 months (RR = 0.51, 95% CI: 0.27, 0.92) and higher for birth interval shorter than 24 months (RR = 2.02, 95% CI:1.40-2.92), for multiple births (RR = 4.07, 95% CI: 1.14-14.50), for very small size of infants (RR = 3.74, 95% CI:1.73-8.12), for smaller than average size infants (RR = 3.23, 95% CI: 1.40-7.41) and for female infants (RR = 1.26, 95% CI: 1.01-1.56) compared to the reference category. CONCLUSIONS: A significant proportion of infants died during the study period of which nearly two third of deaths occurred during the first months of life. Thus, close monitoring and supporting reproductive age mothers to increase the uptakes of family planning and antenatal care and follow-up is highly recommended to increase the infant survival.

Individual and community level associates of contraceptive use in Ethiopia: a multilevel mixed effects analysis.

BACKGROUND: Family planning is one of the four pillars of safe motherhood initiative to reduce maternal death in developing countries. Despite progress in contraceptive use, unmet needs are wide open and fertility remains high. Ethiopia have a higher fertility rate which contributes to maternal and child health destitution, putting pressure on the already weak health system. This study examined individual and community-level factors associated with contraceptive use in Ethiopia. METHODS: Data from Ethiopian Demographic and Health Survey 2016 were used to identify individual and community level associated factors among reproductive-age women. Non-pregnant, fecund and sexually active women aged 15-49 were included. Six hundred forty-two communities and 6854 women were involved from this two-stage cluster sampled data. The analysis was done using two-level mixed-effects logistic regression to determine fixed effects of individual and community-level factors and random intercept of between characteristics. RESULTS: From the total eligible women for contraceptive use 2393 (34.9%) of them were users. Injectables were the commonest of all contraceptive methods. Various individual-level variables were associated with contraceptive use. Household wealth index, women's age, number of living children, husband's occupation, ever experience of a terminated pregnancy, current working status of the women, number of births in the last 3 years, and hearing of FP messages through different media were significantly associated individual-level variables after adjusting other factors. Community characteristics like region, place of residence, religion, and community-level wealth were the factors associated with contraceptive use. CONCLUSION: Both individual and community-level characteristics were significant predictors of use of contraceptives in Ethiopian women. Besides the individual-level factors, interventions should also consider community-level associates.