Association of maternal psychological distress with children with overweight/obesity in Ethiopia.

BACKGROUND: Poor maternal mental health is a major risk factor for adverse offspring health outcomes, including overweight/obesity status. Maternal mental distress is highly prevalent and associated with parenting practices influencing child weight. To date, there is little information documented in Ethiopia on maternal mental distress and children with overweight/obesity status. This study examined the association between maternal mental distress and children with overweight/obesity among mother-child dyads in Addis Ababa, Ethiopia. METHODS: An observational population-based cross-sectional study was conducted among mother-child dyads in representative samples in Addis Ababa, Ethiopia. Maternal mental distress was measured using the Self-Reporting Questionnaire (SRQ)-20. Child/adolescent overweight/obesity was defined as more than 1 SD above the median World Health Organization (WHO) growth reference. Multivariate logistic regression was used to estimate odds ratios (ORs) and 95% confidence intervals (CIs). RESULTS: The prevalence of maternal mental distress and children with overweight/obesity was estimated to be 10.1% and 28.8%, respectively. After adjusting for confounders, including maternal education, maternal occupation, average monthly household income, maternal body mass index (BMI) and the number of household members/family size, maternal psychological distress was not associated with offspring overweight/obesity status (adjusted OR [aOR] = 0.54; 95% CI: 0.25, 1.14). CONCLUSIONS: There is no evidence of an association between maternal psychological distress and children with overweight/obesity. This lack of association might be attributable to our cross-sectional study design. Future epidemiologic studies, particularly those using prospectively collected data, are warranted to examine better the effects of maternal psychological distress on offspring body weight.

The role of health facility and individual level characteristics on medication adherence among PLHIV on second-line antiretroviral therapy in Northeast Ethiopia: use of multi-level model.

BACKGROUND: Medication adherence plays a pivotal role in achieving the desired treatment outcomes. The proportion of HIV patients on second-line antiretroviral therapy is becoming a growing public health concern. However, to date, little attention has been given to second-line antiretroviral medication adherence. Moreover, the association between health facility characteristics and medication adherence has yet not been tested. Thus, this research was conducted to determine the magnitude of medication adherence and examine the role of facility-level determinants among HIV patients on second-line ART. METHODS: A cross-sectional study was conducted on 714 HIV patients on second-line therapy who were selected via systematic random sampling in twenty public health facilities. Medication adherence was measured using the six-item Simplified Medication Adherence Questionnaire (SMAQ) tool. Data were collected in a personal interview as well as document reviews. A multi-level binary logistic regression was used to uncover individual and facility-level determinants. The effect size was presented using an adjusted odds ratio (AOR), and statistical significance was declared at a P value less than 0.05. RESULTS: The magnitude of optimal medication adherence among HIV patients on second-line antiretroviral therapy was 69.5% (65.9-72.7%). Medication adherence was positively associated with the use of adherence reminder methods [AOR = 3.37, (95% CI 2.03-5.62)], having social support [AOR = 1.11, (95% CI 1.02-1.23)], and not having clinical depression [AOR = 3.19, (95% CI 1.93-5.27). The number of adherence counselors [AOR = 1.20, (95% CI 1.04-1.40)], teamwork for enhanced adherence support [AOR = 1.82, (95% CI 1.01-3.42)], and caseloads at ART clinics were all significantly correlated with ARV medication adherence at the facility level. CONCLUSIONS: A large proportion of HIV patients on second-line antiretroviral therapy had adherence problems. Both facility-level and individual-level were linked with patient medication adherence. Thus, based on the identified factors, individual and system-level interventions should be targeted.

Prognostic factors and outcomes of COVID-19 cases in Ethiopia: multi-center cohort study protocol.

BACKGROUND: The coronavirus disease 2019 (COVID-19) is caused by severe acute respiratory syndrome coronavirus (SARS-CoV-2) and became pandemic after emerging in Wuhan, China, in December 2019. Several studies have been conducted to understand the key features of COVID-19 and its public health impact. However, the prognostic factors of COVID-19 are not well studied in the African setting. In this study, we aim to determine the epidemiological and clinical features of COVID-19 cases, immunological and virological courses, interaction with nutritional status, and response to treatment for COVID-19 patients in Ethiopia. METHODS: A multi-center cohort study design will be performed. Patients with confirmed COVID-19 infection admitted to selected treatment centers will be enrolled irrespective of their symptoms and followed-up for 12 months. Baseline epidemiological, clinical, laboratory and imaging data will be collected from treatment records, interviews, physical measurements, and biological samples. Follow-up data collection involves treatment and prognostic outcomes to be measured using different biomarkers and clinical parameters. Data collection will be done electronically using the Open Data Kit (ODK) software package and then exported to STATA/SPSS for analysis. Both descriptive and multivariable analyses will be performed to assess the independent determinants of the treatment outcome and prognosis to generate relevant information for informed prevention and case management. The primary outcomes of this study are death/survival and viral shedding. Secondary outcomes include epidemiological characteristics, clinical features, genetic frequency shifts (genotypic variations), and nutritional status. DISCUSSION: This is the first large prospective cohort study of patients in hospitals with COVID-19 in Ethiopia. The results will enable us to better understand the epidemiology of SARS-CoV-2 in Africa. This study will also provide useful information for effective public health measures and future pandemic preparedness and in response to outbreaks. It will also support policymakers in managing the epidemic based on scientific evidence. TRIAL REGISTRATION: The Protocol prospectively registered in ClinicalTrials.gov (NCT04584424) on 30 October, 2020.

Health system capacity for tuberculosis care in Ethiopia: evidence from national representative survey.

OBJECTIVE: The objective of this study was to evaluate the tuberculosis (TB) health system capacity and its variations by location and types of health facilities in Ethiopia. DESIGN: We used the Service Provision Assessment plus (SPA+) survey data that were collected in 2014 in all hospitals and randomly selected health centers and private facilities in all regions of Ethiopia. We assessed structural, process and overall health system capacity based on the Donabedian quality of care model. Multiple linear regression and spatial analysis were done to assess TB capacity score variation across regions. SETTING: The study included 873 public and private health facilities all over Ethiopia. PARTICIPANTS: None. INTERVENTION(S): None. MAIN OUTCOME MEASURE(S): None. RESULTS: A total of 873 health facilities were included in the analysis. The overall TB care capacity score was 76.7%, 55.9% and 37.8% in public hospitals, health centers and private facilities, respectively. The health system capacity score for TB was higher in the urban (60.4%) facilities compared to that of the rural (50.0%) facilities (ß = 8.0, 95% CI: 4.4, 11.6). Health centers (ß = -16.2, 95% CI: -20.0, -12.3) and private health facilities (ß = -38.3, 95% CI: -42.4, -35.1) had lower TB care capacity score than hospitals. Overall TB care capacity score were lower in Western and Southwestern Ethiopia and in Benishangul-Gumuz and Gambella regions. CONCLUSIONS: The health system capacity score for TB care in Ethiopia varied across regions. Health system capacity improvement interventions should focus on the private sectors and health facilities in the rural and remote areas to ensure equity and improve quality of care.

Good governance, public health expenditures, urbanization and child undernutrition Nexus in Ethiopia: an ecological analysis.

BACKGROUND: Child undernutrition remains the major public health problem in low and middle-income countries including Ethiopia. The effects of good governance, urbanization and public health expenditure on childhood undernutrition are not well studied in developing countries. The objective of the study is to examine the relationship between quality of governance, public health expenditures, urbanization and child undernutrition in Ethiopia. METHODS: This is pooled data analysis with ecological design. We obtained data on childhood undernutrition from the Ethiopian Demographic and Health Surveys (EDHS) that were conducted in 2000, 2005, 2011 and 2016. Additionally, data on quality of governance for Ethiopia were extracted from the World Governance Indicators (WGI) and public health spending and urbanization were obtained from the World Development Indicators and United Nations' World Population Prospects (WPP) respectively. Univariate and multivariate analysis were done to assess the relationship between governance, public health expenditure and urbanization with childhood undernutrition. RESULT: Government effectiveness (adjusted odd ratio (AOR) = 20.7; p = 0.046), regulatory quality (AOR = 0.0077; p = 0.026) and control of corruption (AOR = 0.0019; p = 0.000) were associated with stunting. Similarly, government effectiveness (AOR = 72.2; p = 0.007), regulatory quality (AOR = 0.0015; p = 0.004) and control of corruption (AOR = 0.0005; p = 0.000) were associated with underweight. None of the governance indicators were associated with wasting. On the other hand, there is no statistically significant association observed between public health spending and urbanization with childhood undernutrition. However, other socio-demographic variables play a significant effect on reducing of child undernutrition. CONCLUSION: This study indicates that good governance in the country plays a significant role for reducing childhood undernutrition along with other socio-demographic factors. Concerned bodies should focus on improving governance and producing a quality policy and at the same time monitor its implementation and adherence.

Burden of disease attributable to suboptimal diet, metabolic risks and low physical activity in Ethiopia and comparison with Eastern sub-Saharan African countries, 1990-2015: findings from the Global Burden of Disease Study 2015.

BACKGROUND: Twelve of the 17 Sustainable Development Goals (SDGs) are related to malnutrition (both under- and overnutrition), other behavioral, and metabolic risk factors. However, comparative evidence on the impact of behavioral and metabolic risk factors on disease burden is limited in sub-Saharan Africa (SSA), including Ethiopia. Using data from the Global Burden of Disease (GBD) Study, we assessed mortality and disability-adjusted life years (DALYs) attributable to child and maternal undernutrition (CMU), dietary risks, metabolic risks and low physical activity for Ethiopia. The results were compared with 14 other Eastern SSA countries. METHODS: Databases from GBD 2015, that consist of data from 1990 to 2015, were used. A comparative risk assessment approach was utilized to estimate the burden of disease attributable to CMU, dietary risks, metabolic risks and low physical activity. Exposure levels of the risk factors were estimated using spatiotemporal Gaussian process regression (ST-GPR) and Bayesian meta-regression models. RESULTS: In 2015, there were 58,783 [95% uncertainty interval (UI): 43,653-76,020] or 8.9% [95% UI: 6.1-12.5] estimated all-cause deaths attributable to CMU, 66,269 [95% UI: 39,367-106,512] or 9.7% [95% UI: 7.4-12.3] to dietary risks, 105,057 [95% UI: 66,167-157,071] or 15.4% [95% UI: 12.8-17.6] to metabolic risks and 5808 [95% UI: 3449-9359] or 0.9% [95% UI: 0.6-1.1] to low physical activity in Ethiopia. While the age-adjusted proportion of all-cause mortality attributable to CMU decreased significantly between 1990 and 2015, it increased from 10.8% [95% UI: 8.8-13.3] to 14.5% [95% UI: 11.7-18.0] for dietary risks and from 17.0% [95% UI: 15.4-18.7] to 24.2% [95% UI: 22.2-26.1] for metabolic risks. In 2015, Ethiopia ranked among the top four countries (of 15 Eastern SSA countries) in terms of mortality and DALYs based on the age-standardized proportion of disease attributable to dietary and metabolic risks. CONCLUSIONS: In Ethiopia, while there was a decline in mortality and DALYs attributable to CMU over the last two and half decades, the burden attributable to dietary and metabolic risks have increased during the same period. Lifestyle and metabolic risks of NCDs require more attention by the primary health care system of the country.

Capacity of health facilities for diagnosis and treatment of HIV/AIDS in Ethiopia.

BACKGROUND: There are dearth of literature on the capacity of the health system to diagnose and treat HIV/AIDS in Ethiopia. In this study we evaluated the capacity of health facilities for HIV/AIDS care, its spatial distribution and variations by regions and zones in Ethiopia. METHODS: We analyzed the Service Provision Assessment plus (SPA+) survey data that were collected in 2014 in all regions of Ethiopia. We assessed structural, process and overall capacity of the health system based on the Donabedian quality of care model. We included 5 structural and 8 process indicators and overall capacity score was constructed by taking the average of all indicators. Multiple linear regression was done using STATA 14 to assess the association of the location and types of health facilities with overall capacity score. Maps displaying the average capacity score at Zonal level were produced using ArcGIS Desktop v10.3 (Environmental Systems Research Institute Inc., Redlands CA, USA). RESULTS: A total of 873 health facilities were included in the analysis. Less than 5% of the private facilities provided antiretroviral therapy (ART); had national ART guideline, baseline CD4 count or viral load and tuberculosis screening mechanisms. Nearly one-third of the health centers (34.9%) provided ART. Public hospitals have better capacity score (77.1%) than health centers (45.9%) and private health facilities (24.8%). The overall capacity score for urban facilities (57.1%) was higher than that of the rural (38.2%) health facilities (ß = 15.4, 95% CI: 11.7, 19.2). Health centers (ß = - 21.4, 95% CI: -25.4, - 17.4) and private health facilities (ß = - 50.9, 95% CI: -54.8, - 47.1) had lower overall capacity score than hospitals. Facilities in Somali (ß = - 13.8, 95% CI: -20.6, - 7.0) and SNNPR (ß = - 5.0, 95% CI: -9.8, - 0.1) regions had lower overall capacity score than facilities in the Oromia region. Zones located in emerging regions such as Gambella and Benishangul Gumz and in remote areas of Oromia and SNNPR had lower capacity score in terms of process indicators. CONCLUSIONS: There is a significant geographical heterogeneity on the capacity of health facilities for HIV/AIDS care and treatment in Ethiopia. Targeted capacity improvement initiatives are recommended with focus on health centers and private health facilities, and emerging Regions and the rural and remote areas.

Incidence, prevalence and mortality rates of malaria in Ethiopia from 1990 to 2015: analysis of the global burden of diseases 2015.

BACKGROUND: In Ethiopia there is no complete registration system to measure disease burden and risk factors accurately. In this study, the 2015 global burden of diseases, injuries and risk factors (GBD) data were used to analyse the incidence, prevalence and mortality rates of malaria in Ethiopia over the last 25 years. METHODS: GBD 2015 used verbal autopsy surveys, reports, and published scientific articles to estimate the burden of malaria in Ethiopia. Age and gender-specific causes of death for malaria were estimated using cause of death ensemble modelling. RESULTS: The number of new cases of malaria declined from 2.8 million [95% uncertainty interval (UI) 1.4-4.5 million] in 1990 to 621,345 (95% UI 462,230-797,442) in 2015. Malaria caused an estimated 30,323 deaths (95% UI 11,533.3-61,215.3) in 1990 and 1561 deaths (95% UI 752.8-2660.5) in 2015, a 94.8% reduction over the 25 years. Age-standardized mortality rate of malaria has declined by 96.5% between 1990 and 2015 with an annual rate of change of 13.4%. Age-standardized malaria incidence rate among all ages and gender declined by 88.7% between 1990 and 2015. The number of disability-adjusted life years lost (DALY) due to malaria decreased from 2.2 million (95% UI 0.76-4.7 million) in 1990 to 0.18 million (95% UI 0.12-0.26 million) in 2015, with a total reduction 91.7%. Similarly, age-standardized DALY rate declined by 94.8% during the same period. CONCLUSIONS: Ethiopia has achieved a 50% reduction target of malaria of the millennium development goals. The country should strengthen its malaria control and treatment strategies to achieve the sustainable development goals.

National disability-adjusted life years (DALYs) for 257 diseases and injuries in Ethiopia, 1990-2015: findings from the global burden of disease study 2015.

BACKGROUND: Disability-adjusted life years (DALYs) provide a summary measure of health and can be a critical input to guide health systems, investments, and priority-setting in Ethiopia. We aimed to determine the leading causes of premature mortality and disability using DALYs and describe the relative burden of disease and injuries in Ethiopia. METHODS: We used results from the Global Burden of Diseases, Injuries, and Risk Factors Study 2015 (GBD 2015) for non-fatal disease burden, cause-specific mortality, and all-cause mortality to derive age-standardized DALYs by sex for Ethiopia for each year. We calculated DALYs by summing years of life lost due to premature mortality (YLLs) and years lived with disability (YLDs) for each age group and sex. Causes of death by age, sex, and year were measured mainly using Causes of Death Ensemble modeling. To estimate YLDs, a Bayesian meta-regression method was used. We reported DALY rates per 100,000 for communicable, maternal, neonatal, and nutritional (CMNN) disorders, non-communicable diseases, and injuries, with 95% uncertainty intervals (UI) for Ethiopia. RESULTS: Non-communicable diseases caused 23,118.1 (95% UI, 17,124.4-30,579.6), CMNN disorders resulted in 20,200.7 (95% UI, 16,532.2-24,917.9), and injuries caused 3781 (95% UI, 2642.9-5500.6) age-standardized DALYs per 100,000 in Ethiopia in 2015. Lower respiratory infections, diarrheal diseases, and tuberculosis were the top three leading causes of DALYs in 2015, accounting for 2998 (95% UI, 2173.7-4029), 2592.5 (95% UI, 1850.7-3495.1), and 2562.9 (95% UI, 1466.1-4220.7) DALYs per 100,000, respectively. Ischemic heart disease and cerebrovascular disease were the fourth and fifth leading causes of age-standardized DALYs, with rates of 2535.7 (95% UI, 1603.7-3843.2) and 2159.9 (95% UI, 1369.7-3216.3) per 100,000, respectively. The following causes showed a reduction of 60% or more over the last 25 years: lower respiratory infections, diarrheal diseases, tuberculosis, neonatal encephalopathy, preterm birth complications, meningitis, malaria, protein-energy malnutrition, iron-deficiency anemia, measles, war and legal intervention, and maternal hemorrhage. CONCLUSIONS: Ethiopia has been successful in reducing age-standardized DALYs related to most communicable, maternal, neonatal, and nutritional deficiency diseases in the last 25 years, causing a major ranking shift to types of non-communicable disease. Lower respiratory infections, diarrheal disease, and tuberculosis continue to be leading causes of premature death, despite major declines in burden. Non-communicable diseases also showed reductions as premature mortality declined; however, disability outcomes for these causes did not show declines. Recently developed non-communicable disease strategies may need to be amended to focus on cardiovascular diseases, cancer, diabetes, and major depressive disorders. Increasing trends of disabilities due to neonatal encephalopathy, preterm birth complications, and neonatal disorders should be emphasized in the national newborn survival strategy. Generating quality data should be a priority through the development of new initiatives such as vital events registration, surveillance programs, and surveys to address gaps in data. Measuring disease burden at subnational regional state levels and identifying variations with urban and rural population health should be conducted to support health policy in Ethiopia.

National mortality burden due to communicable, non-communicable, and other diseases in Ethiopia, 1990-2015: findings from the Global Burden of Disease Study 2015.

BACKGROUND: Ethiopia lacks a complete vital registration system that would assist in measuring disease burden and risk factors. We used the Global Burden of Diseases, Injuries, and Risk Factors Study 2015 (GBD 2015) estimates to describe the mortality burden from communicable, non-communicable, and other diseases in Ethiopia over the last 25 years. METHODS: GBD 2015 mainly used cause of death ensemble modeling to measure causes of death by age, sex, and year for 195 countries. We report numbers of deaths and rates of years of life lost (YLL) for communicable, maternal, neonatal, and nutritional (CMNN) disorders, non-communicable diseases (NCDs), and injuries with 95% uncertainty intervals (UI) for Ethiopia from 1990 to 2015. RESULTS: CMNN causes of death have declined by 65% in the last two-and-a-half decades. Injury-related causes of death have also decreased by 70%. Deaths due to NCDs declined by 37% during the same period. Ethiopia showed a faster decline in the burden of four out of the five leading causes of age-standardized premature mortality rates when compared to the overall sub-Saharan African region and the Eastern sub-Saharan African region: lower respiratory infections, tuberculosis, HIV/AIDS, and diarrheal diseases; however, the same could not be said for ischemic heart disease and other NCDs. Non-communicable diseases, together, were the leading causes of age-standardized mortality rates, whereas CMNN diseases were leading causes of premature mortality in 2015. Although lower respiratory infections, tuberculosis, and diarrheal disease were the leading causes of age-standardized death rates, they showed major declines from 1990 to 2015. Neonatal encephalopathy, iron-deficiency anemia, protein-energy malnutrition, and preterm birth complications also showed more than a 50% reduction in burden. HIV/AIDS-related deaths have also decreased by 70% since 2005. Ischemic heart disease, hemorrhagic stroke, and ischemic stroke were among the top causes of premature mortality and age-standardized death rates in Ethiopia in 2015. CONCLUSIONS: Ethiopia has been successful in reducing deaths related to communicable, maternal, neonatal, and nutritional deficiency diseases and injuries by 65%, despite unacceptably high maternal and neonatal mortality rates. However, the country's performance regarding non-communicable diseases, including cardiovascular disease, diabetes, cancer, and chronic respiratory disease, was minimal, causing these diseases to join the leading causes of premature mortality and death rates in 2015. While the country is progressing toward universal health coverage, prevention and control strategies in Ethiopia should consider the double burden of common infectious diseases and non-communicable diseases: lower respiratory infections, diarrhea, tuberculosis, HIV/AIDS, cardiovascular disease, cancer, and diabetes. Prevention and control strategies should also pay special attention to the leading causes of premature mortality and death rates caused by non-communicable diseases: cardiovascular disease, cancer, and diabetes. Measuring further progress requires a data revolution in generating, managing, analyzing, and using data for decision-making and the creation of a full vital registration system in the country.

Trends and causes of maternal mortality in Ethiopia during 1990-2013: findings from the Global Burden of Diseases study 2013.

BACKGROUND: Maternal mortality is noticeably high in sub-Saharan African countries including Ethiopia. Continuous nationwide systematic evaluation and assessment of the problem helps to design appropriate policy and strategy in Ethiopia. This study aimed to investigate the trends and causes of maternal mortality in Ethiopia between 1990 and 2013. METHODS: We used the Global Burden of Diseases and Risk factors (GBD) Study 2013 data that was collected from multiple sources at national and subnational levels. Spatio-temporal Gaussian Process Regression (ST-GPR) was applied to generate best estimates of maternal mortality with 95% Uncertainty Intervals (UI). Causes of death were measured using Cause of Death Ensemble modelling (CODEm). The modified UNAIDS EPP/SPECTRUM suite model was used to estimate HIV related maternal deaths. RESULTS: In Ethiopia, a total of 16,740 (95% UI: 14,197, 19,271) maternal deaths occurred in 1990 whereas there were 15,234 (95% UI: 11,378, 19,871) maternal deaths occurred in 2013. This finding shows that Maternal Mortality Ratio (MMR) in Ethiopia was still high in the study period. There was a minimal but insignificant change of MMR over the last 23 years. The results revealed Ethiopia is below the target of Millennium Development Goals (MGDs) related to MMR. The top five causes of maternal mortality in 2013 were other direct maternal causes such as complications of anaesthesia, embolism (air, amniotic fluid, and blood clot), and the condition of peripartum cardiomyopathy (25.7%), complications of abortions (19.6%), maternal haemorrhage (12.2%), hypertensive disorders (10.3%), and maternal sepsis and other maternal infections such as influenza, malaria, tuberculosis, and hepatitis (9.6%). Most of the maternal mortality happened during the postpartum period and majority of the deaths occurred at the age group of 20-29 years. Overall trend showed that there was a decline from 708 per 100,000 live births in 1990 to 497 per 100,000 in 2013. The annual rate of change over these years was -1.6 (95% UI: -2.8 to -0.3). CONCLUSION: The findings of the study highlight the need for comprehensive efforts using multisectoral collaborations from stakeholders for reducing maternal mortality in Ethiopia. It is worthwhile for policies to focus on postpartum period.

Reaching the unreached through trained and skilled birth attendants in Ethiopia: a cluster randomized controlled trial study protocol.

BACKGROUND: Despite improvements since 1990 to 2014, maternal mortality ratio (MMR) remains high in Ethiopia. One of the key drivers of maternal mortality in Ethiopia is the very low coverage of Skilled Birth attendance (SBA) in rural Ethiopia. This cluster randomized trial piloted an innovative approach of deploying trained community reproductive nurses (CORN) to hard to reach/unreachable rural Ethiopia to improve the coverage of SBA. METHODS: We used a three-arm cluster randomized trial to test the effect of deploying CORN in rural communities in South Ethiopia to improve SBA and other maternal health indicators. A total of 282 villages/clusters (94 from each arm) were randomly selected in the three districts of the zone for the study. The intervention was implemented in four consecutive phases that aimed at of provision of essential maternal, neonatal and child health (MNCH) services mainly focusing on SBA. The CORN were trained and deployed in health centres (arm 1) and in the community/health posts (arm2). A third arm (arm 3) consisting control villages without the intervention. A baseline and end line assessment was conducted to compare the difference in the proportion of SBA and other MNCH service uptake across the three arms Data was entered into computer, edited, cleaned, and analyzed using Epi-data statistical software. The presentation followed the Consolidated Standards of Reporting Trials (CONSORT) statement guidelines for cluster-randomized trials. DISCUSSION: This trial is designed to test the impact of an innovative and newly designed means of distribution for the national health extension program strategy with additional service package with no change to the target population. The focus is on effect of CORN in revitalizing the Health Extension Program (HEP) through improving SBA service uptake and other maternal health service uptake indicators. The study findings may guide national policy to strengthen and shape the already existing HEP that has certain limitations to improve maternal health indicators. The competency based training methodology could provide feedback for health science colleges to improve the national nursing or midwifery training curriculum. TRIAL REGISTRATION: clinicaltrails.gov NCT02501252 dated on July 14, 2015.

CLINICAL ASSESSMENT OF CARDIOVASCULAR DISEASE ASSOCIATED RISK FACTORS IN JIMMATOWN, SOUTHWEST ETHIOPIA; A COMMUNITY BASED CROSS ­ SECTIONAL STUDY.

Introduction: Cardiovascular disease has been identified as emerging epidemic in developing world and Sub-saharan Africa. The prevalence of risk factors associated with cardiovascular disease is not clearly established in our country. We conducted this study to determine the prevalence of cardiovascular disease associated risk factors in Jimma town. Methods: A cross-sectional study was conducted in sampled adults in Jimma town. Multi-stage sampling was used by combining simple random sampling to select kebeles of Jimma town and then systematic random sampling to select the house hold .An individual was selected with a lottery method if there were more than one adult in the house hold who fulfills inclusion criteria. Data were collected using the World Health Organization standardized structured questionnaire on cardiovascular risk assessment for developing countries. The study variables included anthropometric measurements, demographic information and behavioral risk factors. The data variables were computed using SPSS version 20. Results: Majority (70.9%) of the respondents have one or more of the seven cardiovascular disease risk factors assessed. Nearly one forth (23.8%) of the study participants were hypertensive, 6.2% were known diabetes and the prevalence of smoking was 11.8% among males 2% among females. The prevalence of overweight/obesity was 26.8 %. Conclusion: Majority were found to have at least one of the risk factors for cardiovascular disease. Hypertension and diabetes mellitus were the most common. Screening programs, health education and awareness creation are recommended to prevent the development of the disease. Large scale prospective study with laboratory data will help to further analyze and strengthen the results for policy makers.

The impact of dietary risk factors on the burden of non-communicable diseases in Ethiopia: findings from the Global Burden of Disease study 2013.

BACKGROUND: The burden of non-communicable diseases (NCDs) has increased in sub-Saharan countries, including Ethiopia. The contribution of dietary behaviours to the NCD burden in Ethiopia has not been evaluated. This study, therefore, aimed to assess diet-related burden of disease in Ethiopia between 1990 and 2013. METHOD: We used the 2013 Global Burden of Disease (GBD) data to estimate deaths, years of life lost (YLLs) and disability-adjusted life years (DALYs) related to eight food types, five nutrients and fibre intake. Dietary exposure was estimated using a Bayesian hierarchical meta-regression. The effect size of each diet-disease pair was obtained based on meta-analyses of prospective observational studies and randomized controlled trials. A comparative risk assessment approach was used to quantify the proportion of NCD burden associated with dietary risk factors. RESULTS: In 2013, dietary factors were responsible for 60,402 deaths (95% Uncertainty Interval [UI]: 44,943-74,898) in Ethiopia-almost a quarter (23.0%) of all NCD deaths. Nearly nine in every ten diet-related deaths (88.0%) were from cardiovascular diseases (CVD) and 44.0% of all CVD deaths were related to poor diet. Suboptimal diet accounted for 1,353,407 DALYs (95% UI: 1,010,433-1,672,828) and 1,291,703 YLLs (95% UI: 961,915-1,599,985). Low intake of fruits and vegetables and high intake of sodium were the most important dietary factors. The proportion of NCD deaths associated with low fruit consumption slightly increased (11.3% in 1990 and 11.9% in 2013). In these years, the rate of burden of disease related to poor diet slightly decreased; however, their contribution to NCDs remained stable. CONCLUSIONS: Dietary behaviour contributes significantly to the NCD burden in Ethiopia. Intakes of diet low in fruits and vegetables and high in sodium are the leading dietary risks. To effectively mitigate the oncoming NCD burden in Ethiopia, multisectoral interventions are required; and nutrition policies and dietary guidelines should be developed.

Trends, causes, and risk factors of mortality among children under 5 in Ethiopia, 1990-2013: findings from the Global Burden of Disease Study 2013.

BACKGROUND: Ethiopia has made remarkable progress in reducing child mortality over the last two decades. However, the under-5 mortality rate in Ethiopia is still higher than the under-5 mortality rates of several low- and middle-income countries (LMIC). On the other hand, the patterns and causes of child mortality have not been well investigated in Ethiopia. The objective of this study was to investigate the mortality trend, causes of death, and risk factors among children under 5 in Ethiopia during 1990-2013. METHODS: We used Global Burden of Disease (GBD) 2013 data. Spatiotemporal Gaussian Process Regression (GPR) was applied to generate best estimates of child mortality with 95% uncertainty intervals (UI). Causes of death by age groups, sex, and year were measured using Cause of Death Ensemble modeling (CODEm). For estimation of HIV/AIDS mortality rate, the modified UNAIDS EPP-SPECTRUM suite model was used. RESULTS: Between 1990 and 2013 the under-5 mortality rate declined from 203.9 deaths/1000 live births to 74.4 deaths/1000 live births with an annual rate of change of 4.6%, yielding a total reduction of 64%. Similarly, child (1-4 years), post-neonatal, and neonatal mortality rates declined by 75%, 64%, and 52%, respectively, between 1990 and 2013. Lower respiratory tract infection (LRI), diarrheal diseases, and neonatal syndromes (preterm birth complications, neonatal encephalopathy, neonatal sepsis, and other neonatal disorders) accounted for 54% of the total under-5 deaths in 2013. Under-5 mortality rates due to measles, diarrhea, malaria, protein-energy malnutrition, and iron-deficiency anemia declined by more than two-thirds between 1990 and 2013. Among the causes of under-5 deaths, neonatal syndromes such as sepsis, preterm birth complications, and birth asphyxia ranked third to fifth in 2013. Of all risk-attributable deaths in 1990, 25% of the total under-5 deaths (112,288/435,962) and 48% (112,288/232,199) of the deaths due to diarrhea, LRI, and other common infections were attributable to childhood wasting. Similarly, 19% (43,759/229,333) of the total under-5 deaths and 45% (43,759/97,963) of the deaths due to diarrhea and LRI were attributable to wasting in 2013. Of the total diarrheal disease- and LRI-related deaths (n = 97,963) in 2013, 59% (57,923/97,963) of them were attributable to unsafe water supply, unsafe sanitation, household air pollution, and no handwashing with soap. CONCLUSIONS: LRI, diarrheal diseases, and neonatal syndromes remain the major causes of under-5 deaths in Ethiopia. These findings call for better-integrated newborn and child survival interventions focusing on the main risk factors.

Under-five mortality rate variation between the Health and Demographic Surveillance System (HDSS) and Demographic and Health Survey (DHS) approaches.

BACKGROUND: Several low and middle-income countries (LMIC) use Demographic and Health Surveys (DHS) and/or Health and Demographic Surveillance System (HDSS) to monitor the health of their population. The level and trends of under-five mortality rates could be different in the HDSS sites compared to the DHS reports. In this study, we investigated the change in under-five mortality rates overtime in the HDSS sites and the corresponding DHS reports in eight countries and 13 sites. METHODS: Under-five mortality rates in the HDSS sites were determined using number of under-five deaths (numerator) and live births (denominator). The trends and annualized rate of change (ARC) of under-five mortality rates in the HDSS sites and the DHS reports were compared by fitting exponential function. RESULTS: Under-five mortality rates declined substantially in most of the sites during the last 10-15 years. Ten out of 13 (77 %) HDSS sites have consistently lower under-five mortality rates than the DHS under-five mortality rates. In the Kilifi HDSS in Kenya, under-five mortality rate declined by 65.6 % between 2003 and 2014 with ARC of 12.2 % (95 % CI: 9.4-15.0). In the same period, the DHS under-five mortality rate in the Coastal region of Kenya declined by 50.8 % with ARC of 6 % (95 % CI: 2.0-9.0). The under-five mortality rate reduction in the Mlomp (78.1 %) and Niakhar (80.8 %) HDSS sites in Senegal during 1993-2012 was significantly higher than the mortality decline observed in the DHS report during the same period. On the other hand, the Kisumu HDSS in Kenya had lower under-five mortality reduction (15.8 %) compared to the mortality reduction observed in the DHS report (27.7 %) during 2003-2008. Under-five mortality rate rose by 27 % in the Agincourt HDSS in South Africa between 1998 to 2003 that was contrary to the 18 % under-five mortality reduction in the DHS report during the same period. CONCLUSIONS: The inconsistency between HDSS and DHS approaches could have global implication on the estimation of child mortality and ethical issues on mortality inequalities. Further studies should be conducted to investigate the reasons of child mortality variation between the HDSS and the DHS approaches.

HIV-positive status disclosure among men and women receiving antiretroviral treatment in eastern Ethiopia.

Disclosure of HIV infection status is a difficult process that involves communication of information about a potentially stigmatizing and transmissible illness. Despite this it is important for preventing HIV infection and mitigating its impacts. This study aims to describe disclosure of HIV diagnosis and factors associated with it among a cohort of patients receiving antiretroviral treatment in eastern Ethiopia. A descriptive study was conducted among a random sample of patients that started antiretroviral treatment in three hospitals located in eastern Ethiopia. Unadjusted and adjusted logistic regression models were used to examine association and derive odds ratios (OR) as well as 95% confidence intervals. A total of 1540 study participants were included in the study, where 963 (62.5%) were females and 574 (37.3%) males. Most of the married participants have disclosed to their wife or husband (402, 66.3%), but the overall sample had much lower rates of disclosure to brothers or sisters (262, 17.0%), and relatives (259, 16.8%). A small number of patients (11.6%, 179) did not disclose their infection status at all and none of the patients (0, 0%) had disclosed to all of their family members. In the multivariate logistic regression analysis patients who were not married (OR 1.54; 95% CI 1.01-2.35) and illiterate (OR 1.81; 95% CI 1.03-3.20) had higher odds of nondisclosure. The findings of the study revealed a lower level of HIV disclosure status compared to similar settings. Therefore, more focus should be given to unmarried and illiterate persons during counseling sessions.

Evaluation of the 2007 WHO guideline to diagnose smear negative tuberculosis in an urban hospital in Ethiopia.

BACKGROUND: The 2007 World Health Organization (WHO) guideline to diagnose smear-negative tuberculosis (TB) in HIV-prevalent settings was mainly based on expert advice and therefore requires evaluation in real life situations. METHODS: In 2009, this guideline was introduced at the ALERT hospital in Ethiopia. From October 2009 to January 2011, the accuracy of the guideline was evaluated using Mycobacterium tuberculosis culture positivity as reference standard in HIV positive TB suspects. RESULTS: A total of 459 TB suspects were enrolled during the study period; 336 (73.2%) were HIV positive. Acid fast bacilli sputum smear microscopy was done for 74.7% (251/336) HIV positive TB suspects; 94.4% (237/251) were smear negative. A chest X-ray was performed in 92.8% (220/237) and a Mycobacterium tuberculosis culture in 63.7% (151/237). The median TB diagnostic delay for smear negative cases was 3 days (interquartile range 3-4 days). Of the 75 patients diagnosed with smear negative pulmonary TB, 89. 4% (67/75) were diagnosed by chest X-ray, 9.4% (7/75) by culture and 1.3% (1/75) by clinical suspicion only. In 147 smear negative TB suspects Mycobacterium tuberculosis culture and chest X-ray results were available. Among these 147 patients, the sensitivity of the chest X-ray to diagnose smear negative TB in HIV-positive TB suspects was 53.3% (95% CI: 26.7-78.7); the specificity 67.4% (95% CI: 58.7-75.3). CONCLUSION: The 2007 WHO diagnostic algorithm for the diagnosis of smear negative TB is likely to reduce the diagnostic delay and therefore decrease morbidity and mortality of TB in a HIV prevalent settings like Ethiopia.

Do common mental disorders decline over time in TB/HIV co-infected and HIV patients without TB who are on antiretroviral treatment?

BACKGROUND: The relationship between TB/HIV co-infection and common mental disorders (CMD) is not well investigated. A follow up study was conducted to assess the change in CMD over a 6-months period and its predictors among TB/HIV co-infected and HIV patients without TB in Ethiopia. METHODS: A longitudinal study was conducted in 2009. A total of 465 HIV/AIDS patients without TB and 124 TB/HIV co-infected patients from four antiretroviral treatment (ART) centers in Ethiopia were recruited to assess CMD and quality of life (QoL). CMD and QoL were assessed at baseline and at six month using the Kessler-10 scale and the short Amharic version of the World Health Organization Quality of Life Instrument for HIV clients (WHOQOL HIV-Bref) respectively. Multivariate analysis was conducted using generalized estimating equations (GEE) using STATA to assess change in CMD and its predictors. RESULTS: At the 6 month, 540 (97 TB/HIV co-infected and 455 HIV/AIDS patients without TB) patients completed the follow up and 8.6% (21% among TB/HIV co-infected and 2.2% among HIV patients without TB) lost to follow-up.At baseline, 54.4% of TB/HIV co-infected patients had mild to severe mental disorder compared to 41.2% among HIV patients without TB. At the six month follow up, 18.1% of TB/HIV co-infected patients had mild to severe mental disorder compared to 21.8% among HIV patients without TB. The decline of the prevalence of any form of metal disorder was 36.3% among TB/HIV co-infected patients compared to 19.4% among HIV patients without TB (P<0.001).QoL was strongly associated with CMD in TB/HIV co-infected patients and HIV patients without TB (ß = -0.04, P<0.001) after controlling the effect of several confounding variables such as sex, income, WHO disease stage, duration on ART, CD4 lymphocyte count, adherence to ART and social support. CONCLUSION: The prevalence of CMD has significantly reduced particularly among TB/HIV co-infected patients over a 6 months period. Poor QoL is the major independent predictors of CMD. We recommend integration of mental health services in TB/HIV programs. Training of health care providers at TB/HIV clinics could help to screen and treat CMD among TB/HIV co-infected patients.

Change in quality of life: a follow up study among patients with HIV infection with and without TB in Ethiopia.

BACKGROUND: There is a dearth of literature on the impact of TB/HIV co-infection on quality of life (QoL). We conducted a study to assess the change in QoL over a 6-months period and its predictors among HIV-infected patients with and without TB in Ethiopia. METHODS: 465 HIV-infected patients without TB and 124 TB/HIV co-infected patients were enrolled in a prospective study in February, 2009. 455 (98%) HIV-infected and 97 (78%) TB/HIV co-infected patients were followed for 6 months. Data on QoL at baseline and 6th month were collected by trained nurses through face to face interviews using the short Amharic version of the World Health Organization Quality of Life Instrument for HIV clients (WHOQOL HIV-Brief). Common Mental Disorder (CMD) was assessed using a validated version of the Kessler-10 scale. Multivariate analysis was conducted using generalized estimating equations (GEE) using STATA to assess change in QoL and its predictors. RESULTS: There was a statistically significant improvement of the physical, psychological, social, environmental and spiritual QoL at the 6th months follow up compared to the baseline for both groups of patients (P < 0.0001). The change in QoL in all dimension were more marked for TB/HIV co-infected patients compared to HIV-infected patients without TB.A severe form of CMD was strongly associated with poorer physical QoL among TB/HIV co-infected individuals (ß = -2.84; P = 0.000) and HIV clients without TB (ß = -2.34; P = 0.000). CONCLUSION: This study reveals that ART and anti-TB treatment significantly improve the QoL particularly among TB/HIV co-infected patients. We recommend that the ministry of health in collaboration with partners shall integrate mental health services into the TB/HIV programs and train health care providers to timely identify and treat CMD to improve QoL.