Incidence rate of mortality and its predictors among tuberculosis and human immunodeficiency virus coinfected patients on antiretroviral therapy in Ethiopia: systematic review and meta-analysis.

Background: Tuberculosis (TB) is the leading cause of death among HIV-infected adults and children globally. Therefore, this study was aimed at determining the pooled mortality rate and its predictors among TB/HIV-coinfected patients in Ethiopia. Methods: Extensive database searching was done via PubMed, EMBASE, SCOPUS, ScienceDirect, Google Scholar, and Google from the time of idea conception on March 1, 2023, to the last search via Google on March 31, 2023. A meta-analysis was performed using the random-effects model to determine the pooled mortality rate and its predictors among TB/HIV-coinfected patients. Heterogeneity was handled using subgroup analysis, meta-regression, and sensitivity analysis. Results: Out of 2,100 records, 18 articles were included, with 26,291 total patients. The pooled incidence rate of mortality among TB/HIV patients was 12.49 (95% CI: 9.24-15.74) per 100 person-years observation (PYO); I2 = 96.9%. The mortality rate among children and adults was 5.10 per 100 PYO (95% CI: 2.15-8.01; I2 = 84.6%) and 15.78 per 100 PYO (95% CI: 10.84-20.73; I2 = 97.7%), respectively. Age ≥ 45 (pooled hazard ratios (PHR) 2.58, 95% CI: 2.00- 3.31), unemployed (PHR 2.17, 95% CI: 1.37-3.46), not HIV-disclosed (PHR = 2.79, 95% CI: 1.65-4.70), bedridden (PHR 5.89, 95% CI: 3.43-10.12), OI (PHR 3.5, 95% CI: 2.16-5.66), WHO stage IV (PHR 3.16, 95% CI: 2.18-4.58), BMI < 18.5 (PHR 4.11, 95% CI: 2.28-7.40), anemia (PHR 4.43, 95% CI: 2.73-7.18), EPTB 5.78, 95% CI: 2.61-12.78 significantly affected the mortality. The effect of TB on mortality was 1.95 times higher (PHR 1.95, 95% CI: 1.19-3.20; I2 = 0) than in TB-free individuals. Conclusions: The mortality rate among TB/HIV-coinfected patients in Ethiopia was higher compared with many African countries. Many clinical factors were identified as significant risk factors for mortality. Therefore, TB/HIV program managers and clinicians need to design an intervention early.

Socio-economic and spatial inequalities in animal sources of iron-rich foods consumption among children 6-23 months old in Ethiopia: A decomposition analysis.

Iron deficiency anaemia is the most common type of anaemia in young children which can lead to long-term health consequences such as reduced immunity, impaired cognitive development, and school performance. As children experience rapid growth, they require a greater supply of iron from iron-rich foods to support their development. In addition to the low consumption of iron-rich foods in low- and lower-middle-income countries, there are also regional and socio-economic disparities. This study aimed to assess contributing factors of wealth-related inequality and geographic variations in animal sources of iron-rich food consumption among children aged 6-23 months in Ethiopia. We used data from the Ethiopian Mini Demographic and Health Surveys (EMDHS) 2019, a national survey conducted using stratified sampling techniques. A total of 1,461 children of age 6-23 months were included in the study. Iron-rich animal sources of food consumption were regarded when parents/caregivers reported that a child took at least one of the four food items identified as iron-rich food: 1) eggs, 2) meat (beef, lamb, goat, or chicken), 3) fresh or dried fish or shellfish, and 4) organs meat such as heart or liver. Concentration indices and curves were used to assess wealth-related inequalities. A Wagstaff decomposition analysis was applied to identify the contributing factors for wealth-related inequality of iron-rich animal source foods consumption. We estimated the elasticity of wealth-related inequality for a percentage change in socioeconomic variables. A spatial analysis was then used to map the significant cluster areas of iron-rich animal source food consumption among children in Ethiopia. The proportion of children who were given iron-rich animal-source foods in Ethiopia is 24.2% (95% CI: 22.1%, 26.5%), with figures ranging from 0.3% in Dire Dawa to 37.8% in the Oromia region. Children in poor households disproportionately consume less iron-rich animal-source foods than those in wealthy households, leading to a pro-rich wealth concentration index (C) = 0.25 (95% CI: 0.12, 0.37). The decomposition model explained approximately 70% of the estimated socio-economic inequality. About 21% of the wealth-related inequalities in iron-rich animal source food consumption in children can be explained by having primary or above education status of women. Mother's antenatal care (ANC) visits (14.6%), living in the large central and metropolitan regions (12%), household wealth index (10%), and being in the older age group (12-23 months) (2.4%) also contribute to the wealth-related inequalities. Regions such as Afar, Eastern parts of Amhara, and Somali were geographic clusters with low iron-rich animal source food consumption. There is a low level of iron-rich animal source food consumption among children, and it is disproportionately concentrated in the rich households (pro-rich distribution) in Ethiopia. Maternal educational status, having ANC visits, children being in the older age group (12-23 months), and living in large central and metropolitan regions were significant contributors to these wealth-related inequalities in iron-rich animal source foods consumption. Certain parts of Ethiopia such as, Afar, Eastern parts of Amhara, and Somali should be considered priority areas for nutritional interventions to increase children's iron-rich animal source foods consumption.

Women in low- and middle-income countries receive antenatal care at health institutions, yet not delivered there: a multilevel analysis of 2016-2021 DHS data.

BACKGROUND: The institutional delivery dropout (IDD) is a major problem that disproportionately affects low- and middle-income countries (LMICs). It is associated with increased risks of adverse birth outcomes among pregnant women. Hence, this study assessed the pooled estimate and determinants of IDD after antenatal care (ANC) visit among women in LMICs. METHOD: The Demographic and Health Survey (DHS) data from 29 LMICs were used for this study. Data analysis was performed with STATA version 14. The forest plot was used to estimate the pooled prevalence of IDD. Multilevel binary logistic regression was fitted to identify determinants of IDD. The statistical significance level between the outcome and independent variables was determined through the adjusted odds ratio (AOR) with 95% CI and p-value less than 0.05. RESULT: The pooled prevalence of IDD after ANC booking among reproductive age women in LMICs was 22.25% (95%CI: 18.25, 26.25). Additionally, the prevalence of IDD was highest (29.83%) among women from the South and Central Europe and the Caribbean countries and lowest (13.72%) in Central/Western Asia and the Oceania. In the multilevel analysis; no education (AOR = 2.92; 95% CI: 2.72, 3.13), poorest wealth index (AOR = 3.46; 95% CI: 3.28, 3.66), inadequate ANC visits (AOR = 1.73; 95% CI: 1.39, 1.77), no media exposure (AOR = 1.27; 95% CI: 1.23, 1.30), rural (AOR = 1.50; 95% CI: 1.43, 1.54), distance a big problem (AOR = 1.28; 95% CI: 1.25, 1.31), and women located in the South/Eastern Europe and Caribbean region 6.67 (AOR = 6.67; 95% CI: 6.20, 7.20), women lived in low-income countries 7.05 (AOR = 7.05; 95% CI: 6.57, 7.56), and women from lower middle-income countries 5.34 (AOR = 5.57; 95% CI: 4.93, 5.78), had increased odds of IDD after ANC among women in LMICs. However, women who had ever born one child (AOR = 0.29; 95% CI: 0.28, 0.31), and women from Central and Western Asia and the Oceania (AOR = 0.78; 95%CI: 0.74, 0.82) had decreased odds of IDD. CONCLUSION: The IDD was high among women in LMICs and significantly increased among women with no education, from poorest household, had inadequate ANC visit, no media exposure, rural, distance a big problem. Hence, interventions to reduce IDD should focus on addressing the gaps related to maternal education, access to media, and number of ANC visits among women in LMICs.

Development and Validation of a Risk Prediction Model to Estimate the Risk of Stroke Among Hypertensive Patients in University of Gondar Comprehensive Specialized Hospital, Gondar, 2012 to 2022.

Background: A risk prediction model to predict the risk of stroke has been developed for hypertensive patients. However, the discriminating power is poor, and the predictors are not easily accessible in low-income countries. Therefore, developing a validated risk prediction model to estimate the risk of stroke could help physicians to choose optimal treatment and precisely estimate the risk of stroke. Objective: This study aims to develop and validate a risk prediction model to estimate the risk of stroke among hypertensive patients at the University of Gondar Comprehensive Specialized Hospital. Methods: A retrospective follow-up study was conducted among 743 hypertensive patients between September 01/2012 and January 31/2022. The participants were selected using a simple random sampling technique. Model performance was evaluated using discrimination, calibration, and Brier scores. Internal validity and clinical utility were evaluated using bootstrapping and a decision curve analysis. Results: Incidence of stroke was 31.4 per 1000 person-years (95% CI: 26.0, 37.7). Combinations of six predictors were selected for model development (sex, residence, baseline diastolic blood pressure, comorbidity, diabetes, and uncontrolled hypertension). In multivariable logistic regression, the discriminatory power of the model was 0.973 (95% CI: 0.959, 0.987). Calibration plot illustrated an overlap between the probabilities of the predicted and actual observed risks after 10,000 times bootstrap re-sampling, with a sensitivity of 92.79%, specificity 93.51%, and accuracy of 93.41%. The decision curve analysis demonstrated that the net benefit of the model was better than other intervention strategies, starting from the initial point. Conclusion: An internally validated, accurate prediction model was developed and visualized in a nomogram. The model is then changed to an offline mobile web-based application to facilitate clinical applicability. The authors recommend that other researchers eternally validate the model.

Socio-demographic and antenatal care-related factors associated with early post-partum family planning use in Ethiopia: evidence from Ethiopian Demographic and Health Survey 2016 data.

Introduction: Initiation of family planning in the early post-partum period is a strategic move to reduce maternal, neonatal, and child mortality due to the negative consequences of short interbirth interval and the complications of unintended pregnancy. Antenatal care (ANC) is the noteworthy predictor of scaling up early initiation of post-partum family planning (PPFP) and preventing unintended pregnancy before menses resume. Despite the great role of ANC, information is scant about the effect of content, timing, and the number of ANC visits on the early initiation of PPFP in Ethiopia. Objective: This study aimed to assess the association of ANC services with the early initiation of PPFP in Ethiopia. Methods: The study was based on Ethiopian Demographic and Health Survey 2016 data, which was a cross-sectional survey from 18 January 2016 to 27 June 2016. A total weighted sample size of 2,920 post-partum women was included. A multilevel logistic regression model was used because of the hierarchical data, and variables with a p-value of ≤0.2 in the bivariable multilevel analysis were taken to multivariable multilevel analysis. An adjusted odds ratio with a 95% confidence interval (CI) was used to declare both the direction and strength of the association, and variables with a p-value of <0.05 were considered as statistically significant for the outcome variable. Results: The early initiation of PPFP was 20.4%. Women with at least four ANC visits [adjusted odds ratio (AOR) = 1.31; CI 1.12-2.32], women who started ANC within the first trimester (AOR = 1.25; CI 1.10-2.23), complete routine ANC (AOR = 1.11; CI 1.01-2.03), post-natal care (AOR = 1.45; CI 1.19-1.87), resumption of menses (AOR = 1.67; CI 1.18-1.93), urban residency (AOR = 2.14; CI 1.18-2.51), and high community women's education (AOR = 1.71; CI 1.51-2.11) were variables significantly associated with the early initiation of PPFP. Conclusion: The early initiation of PPFP in Ethiopia was very low. Attention needs to be given to the quality of ANC, post-natal care, resumption of menses, residency, and community-level education of women to increase the prevalence of the early initiation of PPFP in Ethiopia. Therefore, the government should design a program targeting the quality of ANC in rural communities, considering women without menses and scaling up the education of women at the community level to the culture of the early initiation of PPFP in order to achieve reduced maternal, neonatal, and child mortality.

Effectiveness of eight or more antenatal contacts on health facility delivery and early postnatal care in low- and middle-income countries: a propensity score matching.

Background: Despite progress in reducing maternal and child mortality, many low- and middle-income countries (LMICs) still experience an unacceptably high level of the problem. The World Health Organization (WHO) recently recommended pregnant women should have at least eight antenatal care visits (ANC8+) with a trained healthcare provider as a key strategy to promote pregnant women's health. Antenatal care is an imperative factor for subsequent maternal healthcare utilization such as health facility delivery and early postnatal care (EPNC). This study aimed to examine the net impact of ANC8+ visits on health facility delivery and EPNC in LMICs using a propensity score matching analysis. Methods: We used the recent Demographic and Health Survey (DHS) datasets from 19 LMICs. Women of reproductive age (15-49 years) who had given birth within 1 year preceding the survey were included. A propensity score matching analysis was employed to assess the net impact of eight or more antenatal care visits on health facility delivery and early postnatal care. Result: After matching the covariates, women who attended ANC8+ visits had a 14% (ATT = 0.14) higher chance of having their delivery at health facilities compared with women who attended less than eight ANC visits. This study further revealed that women who had ANC8+ visits were associated with a 10% (ATT = 0.10) higher probability of early PNC compared with their counterparts. Conclusion and recommendation: This study confirmed that ANC8+ visits significantly increased the likelihood of health facility-based delivery and early PNC utilization in LMICs. These findings call for public health programs to focus on pregnant women attending adequate ANC visits (according to revised WHO recommendation) as our study indicates that ANC8+ visits significantly improved the chances of subsequent care.

An unacceptably high burden of anaemia and it's predictors among young women (15-24 years) in low and middle income countries; set back to SDG progress.

BACKGROUND: Anaemia is a major global public health problem, considerably affects young women in resource limited countries. The available researches on anaemia focused on children, pregnant women, or all women of reproductive age. However, women's biology and life experiences vary dramatically across 15 to 49 years, putting young women bear the higher burden of anaemia, mainly in low and middle income countries (LMICs). Therefore, this study assessed the burden of anaemia among young women (15-24 years) in 24 LMICs which conducted Demographic and Health Surveys (DHS) between 2016 and 2021. METHOD: Data analysis was carried out with STATA version 14. The forest plot was used to explore the pooled prevalence of anaemia. Multilevel binary logistic regression was fitted to accommodate the hierarchical nature of the DHS data. Accordingly, a model with lowest deviance (model III) was the best-fitted model. All variables with a p-value ≤ 0.2 in the bi-variable analysis were fitted in the multi-level multivariable model. Adjusted odds ratio with 95% CI and p < 0.05 were presented to declare statistical significance. RESULT: The pooled prevalence of anaemia among young (15-24 years) women in 24 LMICs was 41.58% (95%CI: 34.51, 48.65). Country wise, Mali (62.95%) and Rwanda (14.13%) constitute the highest and lowest prevalence of anaemia. In this study, young women who lived in the poorest wealth status, had no education, were underweight, perceived distance to the health facility a big problem, larger family size, and women who had ever terminated pregnancy were associated with increased odds of anaemia. Whereas, young women who were overweight and not breast feeding had decreased odds of anaemia. CONCLUSION: The unacceptably high burden of anaemia among young women setbacks the SDG target; to end all forms of malnutrition by 2030. Therefore, it is highly recommended to take relevant interventions to reduce the burden of anaemia targeted the young women who are uneducated, have low socio-economic status, limited access to health facilities, and lived in larger family size.

Unimproved source of drinking water and its associated factors: a spatial and multilevel analysis of Ethiopian demographic and health survey.

BACKGROUND: Drinking water quality has been a major public health concern in lower and middle income countries where access to improved water supplies is limited. Ethiopia is thought to have one of the worst drinking water infrastructures in the world. This study aimed to assess the spatial variation and determinants of using unimproved sources of drinking water in Ethiopia using recent nationally representative data. METHODS: A population-based cross-sectional study was employed with the recent EDHS data of 2019. A total of 8663 households were sampled using a stratified two-stage cluster sampling method. Kuldorff's SaTScan version 9.6 software was used to generate spatial scan statistics. ArcGIS version 10.7 software was used to visualize the spatial patterns of unimproved drinking water sources. A multilevel multivariable mixed-effect logistic regression was used to identify factors associated with the use of an unimproved drinking water source. In the multivariable multilevel analysis, those variables with a p-value < 0.05 were considered to be significant predictors of using an unimproved source of drinking water. RESULT: Around 31% (95% CI: 30%, 32%) of the population in Ethiopia uses unimproved sources of drinking water with significant spatial variation across the country. Households aged 41-60 [AOR = 0.69; 95%CI; 0.53, 0.89] as compared to the households aged 10-25, households having middle wealth index [AOR = 0.48; 95%CI; 0.40, 0.59], and households having a rich wealth index [AOR = 0.31; 95%CI; 0.25, 0.39] as compared to the poor households, living in high community literacy level [AOR = 0.36; 95%CI; 0.16, 0.80], living in high-level community poverty [AOR = 3.03; 95%CI; 1.32, 6.98], rural residence [AOR = 7.88; 95%CI; 2.74, 22.67] were significant predictors of use of unimproved source of drinking water. Hot spot areas of use of unimproved drinking water sources were observed in Amhara, Afar, and Somalia regions and some parts of SNNPR and Oromia regions in Ethiopia. The primary clusters were found in Ethiopia's Somalia and Oromia regions. CONCLUSION: Around one third of the Ethiopian population utilizes unimproved source of drinking water and it was distributed non-randomly across regions of Ethiopia. The age of the household head, wealth status of the household, residence, community poverty level, and community literacy level were found to be significantly associated with utilizing unimproved drinking water source. State authorities, non-governmental organizations and local health administrators should work to improve the quality of drinking water particularly for high risk groups such as communities living in high poverty and low literacy, poor households, rural residents, and hot spot areas to decrease the adverse consequences of using unimproved drinking water source.

Impact of access to improved water and sanitation on diarrhea reduction among rural under-five children in low and middle-income countries: a propensity score matched analysis.

BACKGROUND: Diarrhea, the second leading cause of child morbidity and mortality worldwide, is responsible for more than 90% of deaths in children under 5 years of age in low and middle-income countries (LMICs). The high burden of diarrhea is mainly attributable to the limited access to improved water and sanitation. However, the impacts of improved sanitation and drinking water in preventing diarrheal diseases are not well understood. Therefore, this study estimated both the independent and joint effects of improved sanitation and water on diarrhea occurrence among rural under-five children in LMICs. METHODS: The current study utilized secondary data from the Demographic and Health Survey (DHS) datasets conducted between 2016 and 2021 in 27 LMICs. A total weighted sample of 330,866 under-five children was included in the study. We employed propensity score matching analysis (PSMA) to examine the effects of accessing improved water and sanitation on childhood diarrheal disease reduction. RESULTS: The prevalence of diarrhea among children under 5 years of age in rural LMICs was 11.02% (95% CI; 10.91%, 11.31%). The probability of developing diarrhea among under-five children from households with improved sanitation and water was 16.6% (Average Treatment Effect on the Treated (ATT) = - 0.166) and 7.4% (ATT = - 0.074) times less likely among those from households with unimproved sanitation and water, respectively. Access to improved water and sanitation is significantly associated with a 24.5% (ATT = - 0.245) reduction of diarrheal disease among under-five children. CONCLUSIONS: Improved sanitation and drinking water source reduced the risk of diarrhea among under-five children in LMIC. The effects of both interventions (improved water and sanitation) had a larger impact on the reduction of diarrheal disease than the improvements to water or sanitation alone. Therefore, achieving Sustainable Development Goal 6 (SDG 6) is key to reducing diarrhea among rural under-five children.

Triple burden of malnutrition among mother-child pairs in low-income and middle-income countries: a cross-sectional study.

OBJECTIVE: This study aimed to assess the prevalence and determinants of the triple burden of malnutrition among mother-child pairs in low-income and middle-income countries. DESIGN: Cross-sectional study. SETTING: Low-income and middle-income countries. PARTICIPANTS: Women and children. PRIMARY OUTCOME: Triple burden of malnutrition (overweight/obese mother with undernourished and anaemic under 5 years child). METHODS: Data for this study were drawn from recent 22 low-income and middle-income countries Demographic and Health Surveys. A total weighted sample of 116 795 mother-child pairs was included in the study. STATA V.14.2 was used to clean, code and analyse the data. Multilevel logistic regression was employed to identify factors associated with the problem. Adjusted OR (AOR) with 95% CI and a p<0.05 was reported to indicate statistical association. Model fitness and comparison were done using intraclass correlation coefficient, median OR, proportional change in variance and deviance. RESULT: The pooled prevalence of the triple burden of malnutrition among mother-child pairs was 11.39%. It showed statistically significant positive associations with mothers aged ≥35 years (AOR 2.25, 95% CI 2.08 to 2.44), family size >10 (AOR 1.17, 95% CI 1.08 to 1.26), delivery by caesarean section (AOR 1.93, 95% CI 1.83 to 2.03), the richest household (AOR 1.72, 95% CI 1.56 to 1.88), grand multiparous (AOR 1.62, 95% CI 1.46 to 1.81), age of child 36-47 months (AOR 1.77, 95% CI 1.64 to 1.90), at a p<0.05. Whereas breast feeding (AOR 0.94, 95% CI 0.89 to 0.99), married mothers (AOR 0.87, 95% CI 0.78 to 0.96), female children (AOR 0.88, 95% CI 0.84 to 0.92), improved toilet (AOR 0.23, 95% CI 0.17 to 0.29), improved source of drinking water (AOR 0.28, 95% CI 0.21 to 0.35), rural residents (AOR 0.66, 95% CI 0.62 to 0.69) had a contrasting relationship with the triple burden of malnutrition. CONCLUSION: About 1 out of 10 households suffer from the triple burden of malnutrition in low-income and middle-income countries. This study revealed that several maternal, child, household and community-level factors have a significant impact on the triple burden of malnutrition among mother-child pairs.

Spatial variations and multi-level determinants of modern contraceptive utilization among young women (15-24 years) in Ethiopia: spatial and multi-level analysis of mini-EDHS 2019.

INTRODUCTION: There is tremendous regional inequalities and low uptake of modern contraceptives particularly among young women (15-24 years), characterized by high fertility but high unmet need for contraceptives in Ethiopia. Hence, the present study aimed at exploring the spatial distribution and the multi-level determinants of modern contraceptive use among young women in Ethiopia. METHODS: This study was conducted using the 2019 Ethiopian demographic and health survey data on a weighted sample of 3,379 young women. STATA version 14 for the multi-level, and ArcGIS 10.7 and Sat Scan 9.6 for the spatial analysis were used. Spatial analysis was done to identify the hotspot areas of modern contraceptive use in Ethiopia. Multi-variable multi-level logistic regression was used for identifying determinants of modern contraceptive use and variables with a p-value < 0.05 were considered to be significant determinants. RESULT: The overall prevalence of modern contraceptive use among young women in Ethiopia was 17.23% (95% CI: 10.98, 23.47). The hotspots areas for modern contraceptive use were detected in the central and south-western Amhara, western and central Oromia, and western SNNPR regions. Whereas the Somali region, Dire dawa, and Harari cities were cold spot areas for modern contraceptive use. Being married (AOR = 18.5; 95% CI: 12.66, 27.27), parity (AOR = 4.82; 95% CI: 1.27, 18.32), having television (AOR = 2.39; 95%CI: 1.43, 3.99), having radio (AOR = 1.43; 95%CI: 1.05, 1.94) had higher odds of using modern contraceptives compared to their counterparts. Besides, family size of above five (AOR = 0.46; 95% CI: 0.34, 0.62) and living in Somali region (AOR = 0.05; 95% CI: 0.01, 0.32) were associated with decreased odds of using modern contraceptives among young women in Ethiopia. CONCLUSION: The modern contraceptive use was low among young women and considerably varied across regions in Ethiopia. A remarkably low rate of modern contraceptive use (cold spot) area was detected in Somali region-Ethiopia. Taking in to account a geographic perspective and key factors identified in this study would be vital for efficient resource allocation, targeted interventions, and informed decision-making to enhance contraceptive uptake in Ethiopia.

Spatial distribution and determinants of high-risk fertility behavior among reproductive-age women in Ethiopia.

BACKGROUND: In low-and-middle-income, including Ethiopia, high-risk fertility behavior is a major public health concern. High-risk fertility behavior has an adverse influence on maternal and child health, which hampered efforts to reduce maternal and child morbidity and mortality in Ethiopia. Therefore, this study aimed to assess the spatial distribution and associated factors of high-risk fertility behavior among reproductive-age women in Ethiopia using recent nationally representative data. METHODS: Secondary data analysis was done with a total weighted sample of 5865 reproductive-aged women using the latest mini EDHS 2019. The spatial distribution of high-risk fertility behavior in Ethiopia was determined using spatial analysis. Multilevel multivariable regression analysis was used to identify predictors of high-risk fertility behavior in Ethiopia. RESULTS: The prevalence of high-risk fertility behavior among reproductive-age women in Ethiopia was 73.50% (95% CI 72.36%, 74.62%). Women with primary education [AOR = 0.44; 95%CI; 0.37, 0.52], women with secondary and above education [AOR = 0.26; 95%CI; 0.20, 0.34], being Protestant religion followers [AOR = 1.47; 95%CI; 1.15, 1.89], being Muslim religion follower [AOR = 1.56; 95%CI; 1.20, 2.01], having television [AOR = 2.06; 95%CI; 1.54, 2.76], having ANC visit [AOR = 0.78; 95%CI; 0.61, 0.99], using contraception [AOR = 0.77; 95%CI; 0.65, 0.90], living in rural areas [AOR = 1.75; 95%CI; 1.22, 2.50] were significantly associated with high-risk fertility behavior. Significant hotspots of high-risk fertility behavior were detected in Somalia, SNNPR, Tigray region, and Afar regions of Ethiopia. CONCLUSIONS: A significant proportion of women in Ethiopia engaged in high-risk fertility behavior. High-risk fertility behavior was distributed non-randomly across Ethiopian regions. Policymakers and stakeholders should design interventions that take into account the factors that predispose women to have high-risk fertility behaviors and women who reside in areas with a high proportion of high-risk fertility behaviors to reduce the consequences of high-risk fertility behaviors.

Intimate partner sexual violence during pregnancy and its associated factors in Northwest Ethiopian women.

Background: Violence against women is a global problem. In pregnant women, it is a particular concern as a virtue of the additional risks to the unborn child. Of different acts of violence, sexual violence shares the major contribution that results in short and long-term physical, sexual, reproductive, and mental health problems of pregnant women. Little is known about sexual violence during pregnancy in Ethiopia. Objective: this study aimed to assess the proportion and factors associated with intimate partners' sexual violence against pregnant women in Northwest Ethiopia. Methods: A cross-sectional study was conducted among 409 pregnant women in Debre Markos town from March to April 2018. The study participants were selected using a systematic random sampling technique. A pre-tested and validated questionnaire was used. Binary logistic regression analyses were done to identify associated factors and the adjusted odds ratio (AOR) with its 95 % confidence interval (CI) at a p-value of <0.05 was used to declare a significant association. Result: Of 409 pregnant women, 19.8% have experienced sexual violence by their intimate partner during their current pregnancy. Accordingly, the major intimate partner sexual violence during pregnancy was having unwanted sexual intercourse due to fear from the partner (13.4%), being forced to do something sexual that is degrading or humiliating (13.0%), and being physically forced to have sexual intercourse (9.8%). Living with her partner/husband (AOR: 3.73, 95% CI: 1.30, 10.69), uneducated educational status of partner (AOR: 2.43, 95% CI: 1.06, 5.56), and frequency of alcohol consumption (AOR: 3.20, 95% CI: 1.24, 8.26) were factors associated with increased occurrence of intimate partner sexual violence during pregnancy. Conclusion: The proportion of sexual violence against pregnant women by their intimate partner(s) was found to be common in our study. Socio-demographic and behavioral-related factors were risk factors for sexual violence. As a result, preventive strategies and interventions centering on the empowerment of those facing the greatest barriers to reproductive freedom require a shift from traditional ways of thinking.

Measles second dose vaccine utilization and associated factors among children aged 24-35 months in Sub-Saharan Africa, a multi-level analysis from recent DHS surveys.

BACKGROUND: Although a safe and effective vaccine is available, measles remains an important cause of mortality and morbidity among young children in Sub-Saharan Africa (SSA). The WHO and UNICEF recommended measles-containing vaccine dose 2 (MCV2) in addition to measles-containing vaccine dose 1 (MCV1) through routine services strategies. Many factors could contribute to the routine dose of MCV2 coverage remaining far below targets in many countries of this region. This study aimed to assess the prevalence of MCV2 utilization among children aged 24-35 months and analyze factors associated with it by using recent nationally representative surveys of SSA countries. METHODS: Secondary data analysis was done based on recent Demographic and Health Surveys (DHS) data from eight Sub-Saharan African countries. In this region, only eight countries have a record of routine doses of measles-containing vaccine dose 2 in their DHS dataset. The multilevel binary logistic regression model was fitted to identify significantly associated factors. Variables were extracted from each of the eight country's KR files. Adjusted Odds Ratios (AOR) with a 95% Confidence Interval (CI) and p-value ≤ 0.05 in the multivariable model were used to declare significant factors associated with measles-containing vaccine dose 2 utilization. RESULT: The pooled prevalence of MCV2 utilization in SSA was 44.77% (95% CI: 27.10-62.43%). In the multilevel analysis, mothers aged 25-34 years [AOR = 1.15,95% CI (1.05-1.26), mothers aged 35 years and above [AOR = 1.26, 95% CI (1.14-1.41)], maternal secondary education and above [AOR = 1.27, 95% CI (1.13-1.43)], not big problem to access health facilities [AOR = 1.21, 95% CI (1.12-1.31)], four and above ANC visit [AOR = 2.75, 95% CI (2.35-3.24)], PNC visit [AOR = 1.13, 95% CI (1.04-1.23)], health facility delivery [AOR = 2.24, 95% CI (2.04-2.46)], were positively associated with MCV2 utilization. In contrast, multiple twin [AOR = 0.70, 95% CI (0.53-0.95)], rural residence [AOR = 0.69, 95% CI (0.57-0.82)] and high community poverty [AOR = 0.66, 95% CI (0.54-0.80)] were found to be negatively associated with MCV2 utilization. CONCLUSIONS AND RECOMMENDATIONS: Measles-containing vaccine doses 2 utilization in Sub-Saharan Africa was relatively low. Individual-level factors and community-level factors were significantly associated with low measles-containing vaccine dose 2 utilization. The MCV2 utilization could be improved through public health intervention by targeting rural residents, children of uneducated mothers, economically poor women, and other significant factors this study revealed.

Hotspots and determinants of women's discriminatory attitude towards people living with HIV; evidence from ethiopian demographic and health survey data.

BACKGROUND: Human Immunodeficiency Virus (HIV) is the major public health concern in Ethiopia with more profound effect on women. Discriminatory attitude towards people living with HIV (PLWH) impose a significant impact on patient outcomes and related issues. Hence, this study aimed to investigate the hotspot areas and determinant factors of women's discriminatory attitude towards people living with HIV. METHODS: An in-depth secondary data analysis was conducted based on Ethiopian demographic and health survey (EDHS) 2016. A total of weighed 13,822 reproductive-age women were included in the analysis. The non-spatial analysis was conducted using Stata 16. A mixed effect multi-level logistic regression model was fitted to identify determinant factors of discriminatory attitude towards PLWH. A p-value < 0.2 and 0.05 were used as a cut-off point to declare statistical significance for the bi- and multi-variable regression models, respectively. Four separate models i.e. the null, individual, community level model, and a fourth combined model were fitted. Model comparison was done using deviance. Random effect parameters such as correlation coefficient, median odds ratio, and proportional change in variance were used to explain the variation between and within clusters. Global and local level spatial analyses were conducted using Global Moran's index, GetisOrd Gi* statistics, and Spatial scan statistics were conducted. RESULTS: The magnitude of women's discriminatory attitude towards PLWH was 62.66% (95%CI: 60.12, 65.10). The discriminatory attitude of women towards PLWH was spatially clustered (Moran's index = 0.41, P < 0.01). The hotspots of discriminatory attitude towards PLWH were detected in most parts of the Tigray region; Northern, and southeast borders of the Amhara region; Addis Ababa city; Central, Southern, and western Oromiya region; and East, south, and northeastern parts of South Nations, Nationalities and Peoples Region (SNNPR). Being rural resident, and having no media exposure were positively associated while better educational statuses, better wealth index, unmarried, having comprehensive HIV knowledge, Orthodox religion fellow, and ever being tested for HIV were negatively associated with women's discriminatory attitude towards people living with HIV. CONCLUSION: Discriminatory attitude of women towards PLWH was high in Ethiopia. Hotspots were detected in Amhara, Oromiya, SNNPR, Tigray regions, and Addis Ababa city. Socio-demographic, socio-economic, and HIV knowledge-related factors determine the women's discriminatory attitude towards PLWH.

Development and validation of a nomogram for the prediction of late culture conversion among multi-drug resistant tuberculosis patients in North West Ethiopia: An application of prediction modelling.

INTRODUCTION: Multi-drug resistant tuberculosis has impeded tuberculosis prevention and control due to its low treatment efficiency and prolonged infectious periods. Early culture conversion status has long been used as a predictor of good treatment outcomes and an important infection control metric, as culture-negative patients are less likely to spread tuberculosis. There is also evidence that suggests that delayed sputum conversion is linked to negative outcomes. Therefore, this study was aimed at developing a nomogram to predict the risk of late culture conversion in patients with multi-drug resistant tuberculosis using readily available predictors. OBJECTIVE: The objective of this study was to develop and validate a risk prediction nomogram for the prediction of late culture conversion among multi-drug resistant tuberculosis patients in North-West Ethiopia. METHODS: Multi-drug resistant tuberculosis data from the University of Gondar and the Debre Markos referral hospitals have been used and a total of 316 patients were involved. The analysis was carried out using STATA version 16 and R version 4.0.5 statistical software. Based on the binomial logistic regression model, a validated simplified risk prediction model (nomogram) was built, and its performance was evaluated by assessing its discriminatory power and calibration. Finally, decision curve analysis (DCA) was used to assess the generated model's clinical and public health impact. RESULTS: Registration group, HIV co-infection, baseline BMI, baseline sputum smear grade, and radiological abnormalities were prognostic determinants used in the construction of the nomogram. The model has a discriminating power of 0.725 (95% CI: 0.669, 0.781) and a P-value of 0.665 in the calibration test. It was internally validated using the bootstrapping method, and it was found to perform similarly to the model developed on the entire dataset. The decision curve analysis revealed that the model has better clinical and public health impact than other strategies specified. CONCLUSION: The developed nomogram, which has a satisfactory level of accuracy and good calibration, can be utilized to predict late culture conversion in MDR-TB patients. The model has been found to be useful in clinical practice and is clinically interpretable.

Development and Validation of a Nomogram for the Prediction of Unfavorable Treatment Outcome Among Multi-Drug Resistant Tuberculosis Patients in North West Ethiopia: An Application of Prediction Modelling.

Background: Multidrug-resistant tuberculosis (MDR-TB) is a global problem and a health security threat, which makes "Ending the global TB epidemic in 2035" unachievable. Globally, the unfavourable treatment outcome remains unacceptably high. Therefore, this study aimed to develop a risk prediction model for unfavorable treatment outcomes in MDR-TB patients, which can be used by clinicians as a simple clinical tool in their decision-making. Objective: The objective of this study was to develop and validate a risk prediction model for the prediction of unfavorable treatment outcomes among MDR-TB patients in North-West Ethiopia. Methods: We used MDR-TB data collected from the University of Gondar and Debre Markos referral hospitals. A retrospective follow-up study was conducted and a total of 517 patients were included in the study. STATA version 16 statistical software and R version 4.0.5 were used for the analysis. Descriptive statistics were carried out. A multivariable model was fitted using all potent predictors selected by the lasso regression method. A simplified risk prediction model (nomogram) was developed based on the binomial logit-based model, and its performance was described by assessing its discriminatory power and calibration. Finally, decision curve analysis (DCA) was done to evaluate the clinical and public health impact of the developed model. Results: The developed nomogram comprised six predictors: baseline anemia, major adverse event, comorbidity, age, marital status, and treatment supporter. The model has a discriminatory power of 0.753 (95% CI: 0.708, 0.798) and calibration test of (P-value = 0.695). It was internally validated by bootstrapping method, and it has a relatively corrected discrimination performance (AUC = 0.744, 95CI: 0.699, 0.788). The optimism coefficient was found to be 0.009. The decision curve analysis showed the net benefit of the model as threshold probabilities varied. Conclusion: The developed nomogram can be used for individualized prediction of unfavorable treatment outcomes in MDR-TB patients for it has a satisfactory level of accuracy and good calibration. The model is clinically interpretable and was found to have added benefits in clinical practice.

More Than Three-Fourths of AstraZeneca (ChAdox1 COV-19) COVID-19 Vaccinated Individuals Develop Post Immunization Adverse Event in Northwest Ethiopia.

Background: Ethiopia was using the ChAdOx1 COV-19 vaccine, and health professionals were targets of the first phase of the vaccination strategy. Evidence on the adverse events following immunization (AEFI) was barely available. The study aimed to assess the magnitude and associated factors of adverse events following ChAdOx1 COV-19 immunization among health professionals of the University of Gondar Specialized and Comprehensive Hospital, 2021. Methods: An institution-based cross-sectional study was conducted among health professionals of the University of Gondar Comprehensive and specialized referral hospital. All health professionals who took the ChAdOx1 COV-19 vaccine in the 1st phase were surveyed. A total of 314 health professionals who took the ChAdOx1 COV-19 vaccine were included. The EpiData version 4.6.0.0 and Stata 16 were used for data entry and analysis, respectively. A binary logistic regression was used to identify statistically significant factors associated with AEFI. Chi-square and multicollinearity assumptions were tested. A p-value <0.2 and 0.05 were used as cut-off values of significance in the bi- and multivariable logistic regression models, respectively. An adjusted odds ratio (AOR) with 95% CI was reported for statistically significant variables. Results: Among 314 study participants, 263 of them had at least one mild to severe AEFI of ChAdOx1 COV-19 with a prevalence of AEFI of 83.76% (95% CI: 79.23, 87.46). The commonest AEFI observed were injection site tenderness (n=198/263), fatigue (114/263), headache (n=107/263), and muscle pain (n=85/263). Females (AOR=2.75, 95% CI: 1.15, 6.58), and participants who felt the vaccine was unsafe (AOR=2.84, 95% CI: 1.03, 7.85) were having nearly three times more odds of AEFI immunization as compared to males and those who felt the vaccine was safe, respectively. Conclusion: Adverse event following immunization has been a public health problem in Northwest Ethiopia. Being female and having a feeling that the vaccine is unsafe were statistically significantly associated with AEFI.

Alcohol drinking delays the rate of sputum smear conversion among DR-TB patients in northwest Ethiopia; A retrospective follow-up study.

BACKGROUND: Sputum smear microscopy is simple and feasible technique to assess the presence of acid-fast bacilli (AFB) in the respiratory tract of patients with Drug Resistance Tuberculosis (DR-TB). Conversion of sputum smear from positive to negative is considered as an interim indicator of efficacy of anti-tubercular treatment and the program effectiveness. Although evidences regarding the factors affecting the sputum smear conversion are available on drug susceptible TB patients, there is dearth of literature about smear conversion and its predictors among DR-TB patients in the study setting. Hence, shortening the time to sputum smear conversion is desirable to reduce the likelihood of mycobacterial transmission. This study has therefore aimed at estimating the median time of sputum smear conversion and to determine its predictors. METHODS: This was a retrospective follow-up study conducted among DR-TB patients registered for second-line anti-TB treatment in the four hospitals of Amhara regional state, Northwest Ethiopia. Of all patients enrolled to DR-TB treatment in the study setting from 2010 to 2017, 436 patients have been include for this study who fulfilled the eligibility criteria. The cox proportional hazard model was fitted and the adjusted hazard ratio (AHR) with 95% confidence interval (CI) and p <0.05 was used to declare statistical significance of the variables associated with the smear conversion. RESULTS: From the 436 patients with sputum smear positive at baseline, 351 (80.5%) converted sputum smear at a median time of 48 (IQR: 30-78) days. The median time of smear conversion was 59 (95% CI: 42, 74) and 44 (95% CI: 37, 54) days among patients who had and had no history of alcohol drinking, respectively. Similarly, the median time to smear conversion was 61 (95% CI: 36, 73) days among patients with comorbid conditions and 44 (95% CI: 38, 54) days among patients with no comorbid conditions. In the multi-variable analysis, only history of alcohol consumption [AHR = 0.66 (0.50, 0.87)] was found to delay significantly the rate of sputum smear conversion. CONCLUSION: In our study, the median time of sputum smear conversion was with in the expected time frame of conversion. History of alcohol consumption was found to delay significantly the rate of sputum smear conversion. The DR-TB patients are strongly advised to avoid alcohol consumption.

Correction: Adherence towards COVID-19 mitigation measures and its associated factors among Gondar City residents: A community-based cross-sectional study in Northwest Ethiopia.

[This corrects the article DOI: 10.1371/journal.pone.0244265.].