Level of JMP ladders for water, sanitation, and hygiene (WASH) services among healthcare facilities of Bishoftu Town, Ethiopia: An implication of healthcare-associated infection prevention status

This study aimed to assess the level of JMP ladders for WASH services. A cross-sectional study was conducted. Forty-four healthcare facilities were enrolled. From each healthcare facility, water samples were collected directly from water storage facilities. In addition to the interview, an observational checklist was used. Descriptive statistics and a chi-square test were conducted to analyze the data. The coverage of advanced and basic drinking water services in healthcare facilities was 4.6 and 70.4%, respectively. However, the healthcare facilities’ access to advanced and basic sanitation services was nil. Similarly, 61.4 and 88.6% of the healthcare facilities had no hygiene and waste disposal services, respectively. While 2.6, 4.5, and 75% of healthcare facilities had advanced, basic, and limited environmental cleaning services, 18.2% lacked environmental cleaning services. Water samples of 15.9, 11.4, and 6.8% of the healthcare facilities were found positive for total coliforms, fecal coliforms, and E. coli, respectively. The WASH services of the healthcare facilities were very low and not on track to achieve the Sustainable Development Goal target. Healthcare facilities could be sources of healthcare-associated infections. Hence, the government and other concerned bodies should take urgent action to improve WASH services. HIGHLIGHTS 4.6 and 70.4% of the healthcare facilities used advanced and basic water services, respectively.; The healthcare facilities’ access to advanced and basic sanitation services was nil.; The majority of the healthcare facilities had no hygiene and waste disposal services.; 18.2% of the healthcare facilities lacked environmental cleaning services.; Bacteria and chemical contaminants contaminated many water samples.

Access to water, sanitation and hygiene (WASH) services and drinking water contamination risk levels in households of Bishoftu Town, Ethiopia: A cross‐sectional study

Abstract Background and Aims Access to safe drinking water, sanitation, and hygiene is a fundamental human right and essential to control infectious diseases. However, many countries, including Ethiopia, do not have adequate data to report on basic water, sanitation, and hygiene (WASH) services. Although contaminated drinking water spreads diseases like cholera, diarrhea, typhoid, and dysentery, studies on drinking water contamination risk levels in households are limited in Ethiopia. Therefore, closing this gap needs investigation. Methods A community‐based cross‐sectional study was conducted. A total of 5350 households were included. A systematic, simple random sampling technique was used to select the participants. The information was gathered through in‐person interviews using a standardized questionnaire. Furthermore, 1070 drinking water samples were collected from household water storage. Results This investigation revealed that 9.8%, 83.9%, and 4.9% of households used limited, basic, and safely managed drinking water services, respectively. Besides, 10.2%, 15.7% and 59.3% of households used safely managed, basic and limited sanitation services, respectively. Yet, 10.6% and 4.2% of households used unimproved sanitation facilities and open defecation practices. Also, 40.5% and 19.4% of households used limited and basic hygiene services. On the other hand, 40.1% of households lacked functional handwashing facilities. In this study, 12.1%, 26.3%, and 42% of households’ drinking water samples were positive for Escherichia coli, fecal coliforms, and total coliforms, respectively. Also, 5.1% and 4.5% of households’ drinking water samples had very high and high contamination risk levels for E. coli, respectively. We found that 2.5% and 11.5% of households and water distributors had unacceptable fluoride concentrations, respectively. Conclusion The majority of households in Bishoftu town lack access to safely managed sanitation, drinking water, and basic hygiene services. Many households’ water samples had very high and high health risk levels. Hence, the government and partner organizations should implement water and sanitation safety plans

Setting up child health and mortality prevention surveillance in Ethiopia.

BACKGROUND: Mortality rates for children under five years of age, and stillbirth risks, remain high in parts of sub-Saharan Africa and South Asia. The Child Health and Mortality Prevention Surveillance (CHAMPS) network aims to ascertain causes of child death in high child mortality settings (>50 deaths/1000 live-births). We aimed to develop a “greenfield” site for CHAMPS, based in Harar and Kersa, in Eastern Ethiopia. This very high mortality setting (>100 deaths/1000 live-births in Kersa) had limited previous surveillance capacity, weak infrastructure and political instability. Here we describe site development, from conception in 2015 to the end of the first year of recruitment. METHODS: We formed a collaboration between Haramaya University and the London School of Hygiene & Tropical Medicine and engaged community, national and international partners to support a new CHAMPS programme. We developed laboratory infrastructure and recruited and trained staff. We established project specific procedures to implement CHAMPS network protocols including; death notifications, clinical and demographic data collection, post-mortem minimally invasive tissue sampling, microbiology and pathology testing, and verbal autopsy. We convened an expert local panel to determine cause-of-death. In partnership with the Ethiopian Public Health Institute we developed strategies to improve child and maternal health. RESULTS: Despite considerable challenge, with financial support, personal commitment and effective partnership, we successfully initiated CHAMPS. One year into recruitment (February 2020), we had received 1173 unique death notifications, investigated 59/99 MITS-eligible cases within the demographic surveillance site, and assigned an underlying and immediate cause of death to 53 children. CONCLUSIONS: The most valuable data for global health policy are from high mortality settings, but initiating CHAMPS has required considerable resource. To further leverage this investment, we need strong local research capacity and to broaden the scientific remit. To support this, we have set up a new collaboration, the “Hararghe Health Research Partnership”

Progress in health among regions of Ethiopia, 1990-2019: a subnational country analysis for the Global Burden of Disease Study 2019.

BACKGROUND: Previous Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) studies have reported national health estimates for Ethiopia. Substantial regional variations in socioeconomic status, population, demography, and access to health care within Ethiopia require comparable estimates at the subnational level. The GBD 2019 Ethiopia subnational analysis aimed to measure the progress and disparities in health across nine regions and two chartered cities. METHODS: We gathered 1057 distinct data sources for Ethiopia and all regions and cities that included census, demographic surveillance, household surveys, disease registry, health service use, disease notifications, and other data for this analysis. Using all available data sources, we estimated the Socio-demographic Index (SDI), total fertility rate (TFR), life expectancy, years of life lost, years lived with disability, disability-adjusted life-years, and risk-factor-attributable health loss with 95% uncertainty intervals (UIs) for Ethiopia's nine regions and two chartered cities from 1990 to 2019. Spatiotemporal Gaussian process regression, cause of death ensemble model, Bayesian meta-regression tool, DisMod-MR 2.1, and other models were used to generate fertility, mortality, cause of death, and disability rates. The risk factor attribution estimations followed the general framework established for comparative risk assessment. FINDINGS: The SDI steadily improved in all regions and cities from 1990 to 2019, yet the disparity between the highest and lowest SDI increased by 54% during that period. The TFR declined from 6·91 (95% UI 6·59-7·20) in 1990 to 4·43 (4·01-4·92) in 2019, but the magnitude of decline also varied substantially among regions and cities. In 2019, TFR ranged from 6·41 (5·96-6·86) in Somali to 1·50 (1·26-1·80) in Addis Ababa. Life expectancy improved in Ethiopia by 21·93 years (21·79-22·07), from 46·91 years (45·71-48·11) in 1990 to 68·84 years (67·51-70·18) in 2019. Addis Ababa had the highest life expectancy at 70·86 years (68·91-72·65) in 2019; Afar and Benishangul-Gumuz had the lowest at 63·74 years (61·53-66·01) for Afar and 64.28 (61.99-66.63) for Benishangul-Gumuz. The overall increases in life expectancy were driven by declines in under-5 mortality and mortality from common infectious diseases, nutritional deficiency, and war and conflict. In 2019, the age-standardised all-cause death rate was the highest in Afar at 1353·38 per 100 000 population (1195·69-1526·19). The leading causes of premature mortality for all sexes in Ethiopia in 2019 were neonatal disorders, diarrhoeal diseases, lower respiratory infections, tuberculosis, stroke, HIV/AIDS, ischaemic heart disease, cirrhosis, congenital defects, and diabetes. With high SDIs and life expectancy for all sexes, Addis Ababa, Dire Dawa, and Harari had low rates of premature mortality from the five leading causes, whereas regions with low SDIs and life expectancy for all sexes (Afar and Somali) had high rates of premature mortality from the leading causes. In 2019, child and maternal malnutrition; unsafe water, sanitation, and handwashing; air pollution; high systolic blood pressure; alcohol use; and high fasting plasma glucose were the leading risk factors for health loss across regions and cities. INTERPRETATION: There were substantial improvements in health over the past three decades across regions and chartered cities in Ethiopia. However, the progress, measured in SDI, life expectancy, TFR, premature mortality, disability, and risk factors, was not uniform. Federal and regional health policy makers should match strategies, resources, and interventions to disease burden and risk factors across regions and cities to achieve national and regional plans, Sustainable Development Goals, and universal health coverage targets. FUNDING: Bill & Melinda Gates Foundation