Non-communicable Diseases in Ethiopia: Disease burden, gaps in health care delivery and strategic directions.

Abstract Introduction: In Ethiopia, non-communicable diseases (NCDs) cause 42% of deaths, of which 27% are premature deaths before 70 years of age. The Disability Adjusted Life Years (DALYs) increased from below 20% in 1990 to 69% in 2015. With no action, Ethiopia will be the first among the most populous nations in Africa to experience dramatic burden of premature deaths and disability from NCDs by 2040. However, the national response to NCDs remains fragmented with the total health spending per capita for NCDs still insignificant. The focus of this paper is highlighting the burden of NCDs in Ethiopia and analyzing one of the two major WHO recommended policy issues; the status of integrated management of NCDs, in Ethiopia. NCDs are complex conditions influenced by a range of individual, social and economic factors, including our perceptions and behavior. Also, NCDs tend to be easily overlooked by individuals and policy makers due to their silent nature. Thus, effectively addressing NCDs requires a fresher look into a range of health system issues, including how health services are organized and delivered.Methods: A mixed method approach with quantitative and qualitative data was used. Quantitative data was obtained through analysis of the global burden of diseases study, WHO-STEPs survey, Ethiopian SARA study and the national essential NCD drug survey. This was supplemented by qualitative data through review of a range of documents, including the national NCD policies and strategies and global and regional commitments.Results and discussion: In 2015, NCDs were the leading causes of age-standardized death rate (causing 711 deaths per 100,000 people (95% UI: 468.8–1036.2) and DALYs. The national estimates of the prevalence of NCD metabolic risk factors showed high rates of raised blood pressure (16%), hyperglycemia (5.9%), hypercholesterolemia (5.6%), overweight (5.2%) and Obesity (1.2%). Prevalence of 3-5 risk factors constituting a metabolic syndrome was 4.4%. Data availability on NCD morbidity and mortality is limited. While there are encouraging actions on NCDs in terms of political commitment, lot of gaps as shown by limited availability of resources for NCDs, NCD prevention and treatment services at the primary health care (PHC) level. Shortage of essential NCD drugs and diagnostic facilities and lack of treatment guidelines are major challenges. There is a need to re-orient the national health system to ensure recognition of the NCD burden and sustain political commitment, allocate sufficient funding and improve organization and delivery of NCD services at PHC level. [Ethiop. J. Health Dev. 2018;32 (3):00-000]Key words: Non-communicable diseases, health-system re-orientation, NCD burden, metabolic risk factors, Service delivery, Primary Health Car

Tobacco use and its predictors among Ethiopian adults: A further analysis of Ethiopian NCD STEPS survey-2015

Background: Consuming any form of tobacco is one of the leading causes of preventable morbidity and mortality. Tobacco smoking has been identified as one of the major risk factors for NCDs, including cardiovascular, chronic respiratory diseases, and different cancers. Although there is national information on magnitude of tobacco use, to date there is limited nationally representative data on factors associated with tobacco use. The aim of this study is to assess the distribution and predicators of tobacco use in Ethiopian adult population between 15 -59.Objectives: The main aim of this study was to assess the prevalence of tobacco use and its predictor in Ethiopia.Methods: A cross-sectional population based study design was employed among population age from 15- 69 years. A stratified, three-stage cluster sampling was used to identify the study subjects. Households in each cluster were selected using simple random sampling method. The sampling frame was based on the population and housing census conducted for Ethiopia in 2007. Data was collected using WHO NCD STEPS questionnaire; current tobacco use of any type was taken as the dependent variable. Five hundred thirteen enumeration areas (EAs) as primary sampling units (PSUs) (404 rural and 109 urban) were selected with probability proportionate to size, followed by selection of households as a secondary sampling units (SSUs). A total of 10,260 households were selected from the 513 EAs (20 households per EA). Eligible individuals were selected from households using Kish method (a pre-assigned table of random numbers to find the person to be interviewed). Descriptive statistics using frequency table, mean, median, interquartile range and standard deviations were computed. Step wise logistic regression was used to analyse the predictors of tobacco use. An Estimator of 95% confidence interval was used both for computing descriptive statistics as well testing associations using logistic regression.Results: The prevalence of tobacco use (all tobacco products) was 4.2%. The mean age (± SD) of starting tobacco use was 21(7) years. The mean frequency of tobacco use was 2 times per day. Hierarchical Logistic regression analysis revealed that participants in age groups 30-44 years, and 60-69 years were less likely to use any tobacco type compared to younger age group of15-29 years. Heavy episodic drinking, AOR 2.46 [95% CI= 1.4 – 4.5], and khat chewing, AOR 4.71[95%= 2.26 – 9.8], were independently associated with tobacco use.Conclusion and recommendations: The overall prevalence of tobacco use was relatively higher in males. Factors associated with tobacco use were heavy episodic drinking and khat chewing. Although tobacco use is an important risk factor for different disease on its own, the additional use of these substances exposes individuals to increased risk of NCDs. The findings warrant the need to implement existing anti-tobacco laws in the country, enhance anti-tobacco awareness raising efforts, and implement interventions to help current tobacco users, focusing attention more on regions with high rates of tobacco use and males. Key words: Ethiopia, NCDs, Predictors, Risk factors, Tobacco use, WHO STEP

Cost analysis of the WHO-HEARTS program for hypertension control and CVD prevention in primary health facilities in Ethiopia

Background: In 2020, Ethiopia launched the Ethiopia Hypertension Control Initiative (EHCI) program to improve hypertension care using the approach described in the WHO HEARTS technical package. Objective: To estimate the costs of implementing the HEARTS program for hypertension control and cardiovascular disease (CVD) prevention in the primary care setting in Ethiopia for adult primary care users in the catchment area of five examined facilities. Study design: This study entails a program cost analysis using cross-sectional primary and secondary data. Methods: Micro-costing facility surveys were used to assess activity costs related to training, counselling, screening, lab diagnosis, medications, monitoring, and start-up costs at five selected health facilities. Cost data were obtained from primary and secondary sources, and expert opinion. Annual costs from the health system perspective were estimated using the Excel-based HEARTS costing tool under two intervention scenarios – hypertension-only control and a CVD risk management program, which addresses diabetes and hypercholesterolemia in addition to hypertension. Results: The estimated cost per adult primary care user was USD 5.3 for hypertension control and USD 19.3 for integrated CVD risk management. The estimated medication cost per person treated for hypertension was USD 9.0, whereas treating diabetes and high cholesterol would cost USD 15.4 and USD 15.3 per person treated, respectively. Medications were the major cost driver, accounting for 37% of the total cost in the hypertension control program. In the CVD risk management scenario, the proportions of medication and lab diagnostics of total costs were 18% and 64%, respectively. Conclusions: The results from this study can inform planning and budgeting for HEARTS scale-up to prevent CVD across Ethiopia

Prevalence of high bloodpressure, hyperglycemia, dyslipidemia, metabolic syndrome and their determinants in Ethiopia: Evidences from the National NCDs STEPS Survey, 2015

<div><p>The prevalence of diabetes, dyslipidemias, and high blood pressure is increasing worldwide especially in low and middle income countries. World Health Organization has emphasized the importance of the assessment of the magnitude of the specific disease in each country. We determined the prevalence and determinant factors of high blood pressure, hyperglycemia, dyslipidemias and metabolic syndrome in Ethiopia. A community based survey was conducted from -April to June 2015 using WHO NCD STEPS instrument version 3.1. 2008. Multistage stratified systemic random sampling was used to select representative samples from 9 regions of the country. A total of 10,260 people aged 15–69 years participated in the study. Blood pressure (BP) was measured for 9788 individuals. A total of 9141 people underwent metabolic screening. The prevalence of raised blood pressure (SBP ≥140 and/or DBP ≥ 90 mmHg) was 15.8% (16.3% in females and 15.5% in males). The prevalence of diabetes mellitus (FBS ≥ 126 mg /dl) including those on medication was 3.2% (3.5% males and 3.0% females). The prevalence of impaired fasting glucose was 9.1% with ADA criteria and 3.8% with WHO criteria. Hypercholesterolemia was found in 5.2%, hypertriglyceridemia in 21.0%, high LDL cholesterol occurred in 14.1% and low HDL cholesterol occurred in 68.7%. The prevalence of metabolic syndrome using IDF definition was 4.8% (8.6% in females and vs. 1.8% in males). Advanced age, urban residence, lack of physical exercise, raised waist circumference, raised waist hip ratio, overweight or obesity, and total blood cholesterol were significantly associated with raised blood pressure (BP) and diabetes mellitus. Increased waist- hip ratio was an independent predictor of raised blood pressure, hyperglycemia and raised total cholesterol. Our study showed significantly high prevalence of raised blood pressure, hyperglycemia and dyslipidemia in Ethiopia. Community based interventions are recommended to control these risk factors.</p></div

Mean and SD values of total cholesterol, blood glucose, diastolic and systolic blood pressure, Ethiopia NCD steps, 2015.

<p>Mean and SD values of total cholesterol, blood glucose, diastolic and systolic blood pressure, Ethiopia NCD steps, 2015.</p

Prevalence of dyslipidemia, WHO STEPS survey, Ethiopia 2015.

<p>Prevalence of dyslipidemia, WHO STEPS survey, Ethiopia 2015.</p

Prevalence of raised blood pressure, hyperglycemia and their determinants, WHO STEPs study, 2015, Ethiopia.

<p>Prevalence of raised blood pressure, hyperglycemia and their determinants, WHO STEPs study, 2015, Ethiopia.</p