Effect of Community-Based Intervention (Pregnant Women’s Conference) on Institutional Delivery in Ethiopia

Institutional delivery is the foundation for diminishing maternal mortality. Evidence showed that community-based behavioral change interventions are increasing institutional delivery in developing countries. By understanding this, the government of Ethiopia launched a community-based intervention called “pregnant women’s conferences” to improve institutional delivery. This study was conducted to assess its effectiveness on institutional delivery among 871 women who gave birth within the last 12 months (435: pregnant women’s conference attendants and 436: pregnant women’s conference non-attendants) in 2017. It was a community-based comparative cross-sectional study and participants were selected using a multistage-simple random sampling technique. A structured interviewer-administered questionnaire was used for data collection. The result showed that institutional delivery among women who attended pregnant women’s conferences was 54.3% (95%CI: 49.9–59.1), higher compared with 39.9% (95%CI: 35.3%- 44.7%) of women who did not attend the conference. Likewise, the level of well-preparedness for birth was higher among women who attended the conference (P = 38.9%, 95%CI: 33.8–43.7), compared with their counterparts (P = 25.7%, 95% CI: 22.2–29.4). Similarly, women’s knowledge of obstetric danger signs was higher among women who attended the conference. Therefore, encouraging pregnant women to attend the conference should be strengthened

Global, regional, and national sex-specific burden and control of the HIV epidemic, 1990-2019, for 204 countries and territories: the Global Burden of Diseases Study 2019

Background: The sustainable development goals (SDGs) aim to end HIV/AIDS as a public health threat by 2030. Understanding the current state of the HIV epidemic and its change over time is essential to this effort. This study assesses the current sex-specific HIV burden in 204 countries and territories and measures progress in the control of the epidemic. Methods: To estimate age-specific and sex-specific trends in 48 of 204 countries, we extended the Estimation and Projection Package Age-Sex Model to also implement the spectrum paediatric model. We used this model in cases where age and sex specific HIV-seroprevalence surveys and antenatal care-clinic sentinel surveillance data were available. For the remaining 156 of 204 locations, we developed a cohort-incidence bias adjustment to derive incidence as a function of cause-of-death data from vital registration systems. The incidence was input to a custom Spectrum model. To assess progress, we measured the percentage change in incident cases and deaths between 2010 and 2019 (threshold >75% decline), the ratio of incident cases to number of people living with HIV (incidence-to-prevalence ratio threshold <0·03), and the ratio of incident cases to deaths (incidence-to-mortality ratio threshold <1·0). Findings: In 2019, there were 36·8 million (95% uncertainty interval [UI] 35·1–38·9) people living with HIV worldwide. There were 0·84 males (95% UI 0·78–0·91) per female living with HIV in 2019, 0·99 male infections (0·91–1·10) for every female infection, and 1·02 male deaths (0·95–1·10) per female death. Global progress in incident cases and deaths between 2010 and 2019 was driven by sub-Saharan Africa (with a 28·52% decrease in incident cases, 95% UI 19·58–35·43, and a 39·66% decrease in deaths, 36·49–42·36). Elsewhere, the incidence remained stable or increased, whereas deaths generally decreased. In 2019, the global incidence-to-prevalence ratio was 0·05 (95% UI 0·05–0·06) and the global incidence-to-mortality ratio was 1·94 (1·76–2·12). No regions met suggested thresholds for progress. Interpretation: Sub-Saharan Africa had both the highest HIV burden and the greatest progress between 1990 and 2019. The number of incident cases and deaths in males and females approached parity in 2019, although there remained more females with HIV than males with HIV. Globally, the HIV epidemic is far from the UNAIDS benchmarks on progress metrics. Funding: The Bill & Melinda Gates Foundation, the National Institute of Mental Health of the US National Institutes of Health (NIH), and the National Institute on Aging of the NIH

Cancer Incidence, Mortality, Years of Life Lost, Years Lived With Disability, and Disability-Adjusted Life Years for 29 Cancer Groups From 2010 to 2019: A Systematic Analysis for the Global Burden of Disease Study 2019.

The Global Burden of Diseases, Injuries, and Risk Factors Study 2019 (GBD 2019) provided systematic estimates of incidence, morbidity, and mortality to inform local and international efforts toward reducing cancer burden. To estimate cancer burden and trends globally for 204 countries and territories and by Sociodemographic Index (SDI) quintiles from 2010 to 2019. The GBD 2019 estimation methods were used to describe cancer incidence, mortality, years lived with disability, years of life lost, and disability-adjusted life years (DALYs) in 2019 and over the past decade. Estimates are also provided by quintiles of the SDI, a composite measure of educational attainment, income per capita, and total fertility rate for those younger than 25 years. Estimates include 95% uncertainty intervals (UIs). In 2019, there were an estimated 23.6 million (95% UI, 22.2-24.9 million) new cancer cases (17.2 million when excluding nonmelanoma skin cancer) and 10.0 million (95% UI, 9.36-10.6 million) cancer deaths globally, with an estimated 250 million (235-264 million) DALYs due to cancer. Since 2010, these represented a 26.3% (95% UI, 20.3%-32.3%) increase in new cases, a 20.9% (95% UI, 14.2%-27.6%) increase in deaths, and a 16.0% (95% UI, 9.3%-22.8%) increase in DALYs. Among 22 groups of diseases and injuries in the GBD 2019 study, cancer was second only to cardiovascular diseases for the number of deaths, years of life lost, and DALYs globally in 2019. Cancer burden differed across SDI quintiles. The proportion of years lived with disability that contributed to DALYs increased with SDI, ranging from 1.4% (1.1%-1.8%) in the low SDI quintile to 5.7% (4.2%-7.1%) in the high SDI quintile. While the high SDI quintile had the highest number of new cases in 2019, the middle SDI quintile had the highest number of cancer deaths and DALYs. From 2010 to 2019, the largest percentage increase in the numbers of cases and deaths occurred in the low and low-middle SDI quintiles. The results of this systematic analysis suggest that the global burden of cancer is substantial and growing, with burden differing by SDI. These results provide comprehensive and comparable estimates that can potentially inform efforts toward equitable cancer control around the world.Funding/Support: The Institute for Health Metrics and Evaluation received funding from the Bill & Melinda Gates Foundation and the American Lebanese Syrian Associated Charities. Dr Aljunid acknowledges the Department of Health Policy and Management of Kuwait University and the International Centre for Casemix and Clinical Coding, National University of Malaysia for the approval and support to participate in this research project. Dr Bhaskar acknowledges institutional support from the NSW Ministry of Health and NSW Health Pathology. Dr Bärnighausen was supported by the Alexander von Humboldt Foundation through the Alexander von Humboldt Professor award, which is funded by the German Federal Ministry of Education and Research. Dr Braithwaite acknowledges funding from the National Institutes of Health/ National Cancer Institute. Dr Conde acknowledges financial support from the European Research Council ERC Starting Grant agreement No 848325. Dr Costa acknowledges her grant (SFRH/BHD/110001/2015), received by Portuguese national funds through Fundação para a Ciência e Tecnologia, IP under the Norma Transitória grant DL57/2016/CP1334/CT0006. Dr Ghith acknowledges support from a grant from Novo Nordisk Foundation (NNF16OC0021856). Dr Glasbey is supported by a National Institute of Health Research Doctoral Research Fellowship. Dr Vivek Kumar Gupta acknowledges funding support from National Health and Medical Research Council Australia. Dr Haque thanks Jazan University, Saudi Arabia for providing access to the Saudi Digital Library for this research study. Drs Herteliu, Pana, and Ausloos are partially supported by a grant of the Romanian National Authority for Scientific Research and Innovation, CNDS-UEFISCDI, project number PN-III-P4-ID-PCCF-2016-0084. Dr Hugo received support from the Higher Education Improvement Coordination of the Brazilian Ministry of Education for a sabbatical period at the Institute for Health Metrics and Evaluation, between September 2019 and August 2020. Dr Sheikh Mohammed Shariful Islam acknowledges funding by a National Heart Foundation of Australia Fellowship and National Health and Medical Research Council Emerging Leadership Fellowship. Dr Jakovljevic acknowledges support through grant OI 175014 of the Ministry of Education Science and Technological Development of the Republic of Serbia. Dr Katikireddi acknowledges funding from a NHS Research Scotland Senior Clinical Fellowship (SCAF/15/02), the Medical Research Council (MC_UU_00022/2), and the Scottish Government Chief Scientist Office (SPHSU17). Dr Md Nuruzzaman Khan acknowledges the support of Jatiya Kabi Kazi Nazrul Islam University, Bangladesh. Dr Yun Jin Kim was supported by the Research Management Centre, Xiamen University Malaysia (XMUMRF/2020-C6/ITCM/0004). Dr Koulmane Laxminarayana acknowledges institutional support from Manipal Academy of Higher Education. Dr Landires is a member of the Sistema Nacional de Investigación, which is supported by Panama’s Secretaría Nacional de Ciencia, Tecnología e Innovación. Dr Loureiro was supported by national funds through Fundação para a Ciência e Tecnologia under the Scientific Employment Stimulus–Institutional Call (CEECINST/00049/2018). Dr Molokhia is supported by the National Institute for Health Research Biomedical Research Center at Guy’s and St Thomas’ National Health Service Foundation Trust and King’s College London. Dr Moosavi appreciates NIGEB's support. Dr Pati acknowledges support from the SIAN Institute, Association for Biodiversity Conservation & Research. Dr Rakovac acknowledges a grant from the government of the Russian Federation in the context of World Health Organization Noncommunicable Diseases Office. Dr Samy was supported by a fellowship from the Egyptian Fulbright Mission Program. Dr Sheikh acknowledges support from Health Data Research UK. Drs Adithi Shetty and Unnikrishnan acknowledge support given by Kasturba Medical College, Mangalore, Manipal Academy of Higher Education. Dr Pavanchand H. Shetty acknowledges Manipal Academy of Higher Education for their research support. Dr Diego Augusto Santos Silva was financed in part by the Coordenação de Aperfeiçoamento de Pessoal de Nível Superior - Brasil Finance Code 001 and is supported in part by CNPq (302028/2018-8). Dr Zhu acknowledges the Cancer Prevention and Research Institute of Texas grant RP210042

Mapping inequalities in exclusive breastfeeding in low- and middle-income countries, 2000–2018

Exclusive breastfeeding (EBF)—giving infants only breast-milk for the first 6 months of life—is a component of optimal breastfeeding practices effective in preventing child morbidity and mortality. EBF practices are known to vary by population and comparable subnational estimates of prevalence and progress across low- and middle-income countries (LMICs) are required for planning policy and interventions. Here we present a geospatial analysis of EBF prevalence estimates from 2000 to 2018 across 94 LMICs mapped to policy-relevant administrative units (for example, districts), quantify subnational inequalities and their changes over time, and estimate probabilities of meeting the World Health Organization’s Global Nutrition Target (WHO GNT) of ≥70% EBF prevalence by 2030. While six LMICs are projected to meet the WHO GNT of ≥70% EBF prevalence at a national scale, only three are predicted to meet the target in all their district-level units by 2030

Factors associated with chronic energy malnutrition among reproductive-age women in Ethiopia: An analysis of the 2016 Ethiopia demographic and health survey data.

BackgroundWomen with chronic-energy malnutrition persists in many developing countries, including Ethiopia. To avert this problem identifying the predictor variables for a high magnitude of underweight is paramount. Consequently, this study aimed to assess the factors associated with chronic energy malnutrition among reproductive-age women in Ethiopia.MethodsWe used the 2016 Ethiopia demographic health survey data. The survey was a community-based cross-sectional study conducted from January 18 to June 27, 2016. A two-stage stratified cluster sampling technique was employed to select Participants. A total of 13,451 reproductive-age group women (age 15-49 years and who were not pregnant and ResultsAbout 22.6% (95%CI: 21.5%-23.6%) of reproductive-age women were underweight. The magnitude of underweight is highest in the Afar region (39.6%) and lowest in Addis Ababa city administration (13.5%). Women who lived in the rural area (AOR = 1.59; 95%CI: 1.19-2.12), those who did not attend formal education (AOR = 1.23; 95%CI: 1.01-1.50), unemployed women (AOR = 1.28; 95%CI:1.13-1.44), women who belong to the poorest household wealth index (AOR = 1.42; 95%CI:1.04-1.94), women who were not married (AOR = 1.41; 95%CI: 1.18-2.69), women who lived in Tigray and the pastoral regions have higher odds of underweight. On the other hand, women who lived in southern nations nationalities and people's region, and women whose age group 25-34 years had lower odds of underweight.ConclusionsChronic-energy malnutrition among reproductive-age women is high in Ethiopia. Improving the food security of rural, never married, and unemployed women would reduce the magnitude of underweight. Moreover, strengthening girls' education, creating employment opportunities for women, and enhancing household income can further reduce the problem of chronic energy malnutrition

Urban-rural disparities in immunization coverage among children aged 12–23 months in Ethiopia: multivariate decomposition analysis

Abstract Background Immunization is one of the most cost-effective public health interventions for improving children’s health and survival. In Ethiopia, low immunization coverage and disparity across residences are major public health problems. However, the factors that contributed to the urban-rural disparity have not been thoroughly investigated. Therefore, the objective of this study was to examine the change and contributing factors in full immunization coverage across geographic locations (urban-rural) in Ethiopia. Methods We analyzed data on children aged 12 to 23 months obtained from the 2019 mini-Ethiopian demographic and health survey. A total of 996 weighted samples (299 in urban and 697 in rural areas) were included in the analysis. A multivariate decomposition analysis technique was used to determine the disparity and identify factors that contribute to the disparity across geographical locations. Statistical significance was defined at a 95% confidence interval with a p-value of less than 0.05. Results The percentage of children aged 12–23 months who received full immunization increased from 36.84% (95% CI:31.59, 42.41) in rural areas to 64.59% (95% CI:47.10, 78.89) in urban areas. The decomposition analysis showed that the observed urban-rural disparity was attributed to a change in the effect of population characteristics (coefficient) across residences. Specifically, receiving 1–3 (β = 0.0895, 95% CI: 0.0241, 0.1550) and 4 or more (β = 0.1212, 95% CI: 0.0224, 0.2199) antenatal care visits, delivering at a health facility (β = 0.1350, 95% CI: 0.0227, 0.2472), and the source of information about immunization status from vaccination cards (β = 0.2666, 95% CI:0.1763, 0.3569) significantly contributed to the widening urban-rural disparity. On the other hand, being of high wealth status (β=-0.141, 95% CI: -0.1945, -0.0876), receiving postnatal care (β=-0.0697, 95% CI: -0.1344, -0.0051), and having four or more living children (β=-0.1774, 95% CI: -0.2971, -0.0577) significantly contributed to narrowing the urban-rural disparity. Conclusions There was a significant urban-rural disparity in immunization coverage in Ethiopia, with urban children more likely to complete immunization. The change in the composition of population characteristics was not significant for the observed disparity. The observed disparity in full immunization coverage was mainly driven by the coefficients related to maternal healthcare utilization, household wealth status, the number of living children, and the source of immunization information. Therefore, strengthening maternal health services utilization, encouraging mothers to maintain their children’s immunization records, and addressing economic inequality, particularly in rural areas, may narrow the urban-rural disparity and enhance immunization coverage nationwide

Determinants of Anemia among Children Aged 6–59 Months in Ethiopia: Further Analysis of the 2016 Ethiopian Demographic Health Survey

Background. Anemia among children is a global public health problem. The burden is high in developing countries including Ethiopia. Although there are some studies about anemia among children, there is a dearth of information about factors associated with anemia in Ethiopia. Therefore, this analysis was performed to identify factors associated with anemia among children aged 6–59 months in Ethiopia. Methods. We used the 2016 Ethiopian Demography and Health Survey (EDHS) data. EDHS was a community-based, cross-sectional study conducted from January 18, 2016 to June 27, 2016. The 2016 EDHS selected the participants using a two-stage stratified cluster sampling technique. A total of 8,462 children aged 6–59 months were included for this analysis. Both descriptive and logistic regression analyses were performed using Stata version14. A P value less than 0.05 at 95% confidence interval was set to test the statistical significance. Results. The analysis indicated that about 58% (95% CI: 55.1, 60.1) of children aged 6–59 months were anemic. Of those, 29.4% and 3.1% had moderate and severe anemia, respectively. The analysis revealed that stunted (AOR = 0.135, 95% CI: 1.13, 1.62) and underweight (AOR = 1.27, 95% CI: 1.04, 1.55) children had higher odds of being anemic. Besides, children aged 6–23 months (AOR = 1.39, 95% CI: 1.06, 1.82), 24–42 months of age (AOR = 1.26, 95% CI: 1.05, 1.51), and those with fever (AOR = 1.34, 95% CI: 1.07, 1.67) had higher odds of being anemic. Similarly, children from anemic mothers (AOR = 1.86, 95% CI: 1.58, 2.18) and poor households (AOR = 1.35, 95% CI: 1.09, 1.67) were at a higher risk of anemia. Children from households with large family sizes (AOR = 1.29, 95% CI: 1.03, 1.60), young mothers (15–24 years of age (AOR = 1.39, 95% CI: 1.06, 1.82) and 25–34 years of age (AOR = 1.26, 95% CI: 1.05, 1.51)), and developing regions (AOR = 1.44, 95% CI: 1.03, 2.02) also had higher odds of developing anemia. Conclusion. The overall prevalence of anemia among children aged 6–59 months in Ethiopia was high. Malnourished children (stunting and underweight); children with fever; children from anemic, uneducated, and young mothers; and children from large and poor families had higher odds to develop anemia. Therefore, preventing childhood illnesses and maternal anemia should be strengthened to reduce anemia among children

Changes in immunization coverage and contributing factors among children aged 12-23 months from 2000 to 2019, Ethiopia: Multivariate decomposition analysis.

BackgroundImmunization has been promoted as a global strategy aimed at improving child survival. The World Health Organization strives to make immunization services available to everyone, everywhere to save over 50 million lives by 2030. Monitoring the change and identifying the factors contributing to the change in immunization coverage over time and across the nations is imperative for continuing global success in increasing immunization coverage. In this study, we examined the changes and factors that contributed to the change in full immunization coverage over time in Ethiopia (2000 to 2019).MethodsWe analyzed data on children aged 12-23 months, extracted from the 2000 and 2019 Ethiopian Demographic and Health Survey (EDHS) datasets. A total of 3,072 weighted samples (2,076 in 2000 and 966 in 2019) were included in the analysis. A multivariate decomposition analysis technique was used to determine change and identify factors that contributed to the change over time. Statistical significance was defined at a 95% confidence interval with a p-value of less than 0.05.ResultsThere was a 29.56% (95% CI: 24.84, 34.28) change in full immunization coverage between the two surveys. It increased from 14.62% (95% CI: 12.43, 17.11) in 2000 to 44.18% (95% CI: 37.19, 51.41) in 2019. The decomposition analysis showed that about 75% of explained change was attributed to the differences in the composition of explanatory variables (the endowment effect). Particularly, women aged 35-49 years (-2.11%), those who attended four or more antenatal care visits (17.06%), individual who had postnatal care visits (16.90%), households with two or more under-five children (2.50%), and those with a history of child mortality (17.80%) were significantly attributed to the change. The rest, 25% of the explained change was attributed to the difference in the effects of explanatory variables (coefficient). The change in the coefficient for women who had experienced child death (-20.40%) was statistically significant to the change in full immunization coverage over time.ConclusionThe finding of this study revealed that there was a statistically significant change in full immunization coverage over time. The majority of the change was attributed to the differences in the composition of explanatory variables such as antenatal care and postnatal care visits, age of the mother, and number of living children in the household. Therefore, strengthening maternal health services utilization may enhance immunization coverage in Ethiopia. Furthermore, the difference in coefficient of mothers with a history of child death had a substantial counteracting effect on the change, emphasizing the importance of raising awareness and delivering vaccine education to them and the larger community

Contraceptive use among women with no fertility intention in Ethiopia.

IntroductionEthiopia is one of the Sub-Saharan African countries with high unintended pregnancy rate. Every woman in Ethiopia experiences at least one unintended birth. Although there were some studies about contraceptive use among all women in Ethiopia, evidence about contraceptive use among women with no fertility intention was limited. Therefore, this analysis was performed to assess the prevalence of contraceptive use and associated factors among fecund, married reproductive-age women who intended no more children.MethodsWe used the 2016 Ethiopian Demography and Health Survey (EDHS) data collected through a two-stage stratified cluster sampling technique. EDHS was a community based, cross-sectional study conducted from January 18, 2016, to June 27, 2016. A total of 2,859 fecund married reproductive age women with no desire to have more children were included in this study. Both descriptive and logistic regression analysis were performed using STATA V.14. A 95% confidence interval was used to declare statistical significance.ResultsContraceptive use among fecund married reproductive-age women who want no more children was 51.1% (95%CI: 47.0-55.24%). Visit by health workers at home (AOR = 1.37, 95%CI: 1.02, 1.83), living in Addis Ababa (AOR = 3.38 95%CI: 1.76, 6.37) and having better wealth index (middle (AOR = 1.76, 95%CI: 1.25, 2.47) and being rich (AOR = 1.96, 95%CI: 1.40, 2.74)) were found positively associated with contraceptive use. On the other hand, living in the Somali region (AOR = 0.10, 95%CI: 0.01, 0.85), and being Muslim (AOR = 0.45, 95%CI: 0.30, 0.67) were found negatively associated with contraceptive use.ConclusionContraceptive use among fecund married reproductive-age women with no fertility intention was low compared to their demand. Therefore, to improve contraceptive use, the provision of family planning counseling and information should be strengthened. Further intervention is needed to narrow disparities in contraceptive use among regions and different population groups

Factors associated with sexually transmitted infections among sexually active men in Ethiopia. Further analysis of 2016 Ethiopian demographic and health survey data.

BACKGROUND:Sexually-transmitted infections are a public health problem in developing countries including Ethiopia. However, there is limited evidence on factors associated with sexually-transmitted infections among men in Ethiopia. Therefore, this analysis was done to fill this gap. METHODS:This analysis was done based on the 2016 Ethiopian demographic health survey data. The survey was a community-based cross-sectional study conducted from January 18 to June 27, 2016. The survey used two stage-stratified cluster sampling technique. A total of 8849 sexually active men were included in this analysis. Descriptive and analytical analyses were performed. A p-value of less than 0.05 was used to declare statistical significance. RESULTS:Muslim men (AOR = 1.68; 95%CI: 1.02-2.76), men who were not exposed to media (AOR = 1.75; 95%CI: 1.01-3.03) and men who had multiple sexual partners (AOR = 2.29; 95%CI: 1.05-5.01) had higher odds of having a sexually transmitted infection. In addition, men living in Amhara (AOR = 3.31; 95%CI: 1.33-8.22), Oromia (AOR = 4.62; 95%CI: 1.85-11.55), Gambella (AOR = 3.64; 95%CI: 1.27-10.42), and Harari regions (AOR = 4.57; 95%CI: 1.49-14.02) had higher odds of developing sexually transmitted infection. On the other hand, men who believe women are asked to use a condom if she knows he has STIs (AOR = 0.53; 95%CI: 0.33-0.85) had low odds of developing a sexually transmitted infection. CONCLUSIONS:Men not exposed to mass media, Muslims and men with multi-sexual partners had higher odds of having sexually transmitted infections. Encouraging monogamous relationships and exposing men to mass media may help to reduce the burden of STIs in Ethiopia