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.

Prevalence and factors associated with anemia in women of reproductive age across low- and middle-income countries based on national data.

Anemia is a global threat among women of reproductive age (WRA), or 15-49 years old women, both in developed and developing countries. Prevalence of anemia in WRA is higher by fourfold in developing countries, based on extensive studies and surveys conducted by WHO and UNICEF. However, there is limited studies that conducted pooled analysis of anemia prevalence in low resource countries. This study aimed to assess the prevalence and factors associated with anemia among women of reproductive age in low- and middle-income countries (LMICs). This study used secondary data from the Demographic and Health Survey (DHS) in 46 low- and middle-income countries during 2010-2021. Descriptive statistics of proportions between pregnant and non-pregnant mothers were assessed. Multilevel binary logistic regression was used to test the factors associated with anemia among women of reproductive age. A total of 881,148 women of childbearing age in LMICs were included. This study found a high prevalence of 45.20% (95% CI 41.21, 49.16) of anemia was observed in among pregnant women and 39.52% (95% CI 33.88, 45.15) anemia was observed in non-pregnant women. Educational status, wealth status, family size, media exposure, and residence were common factors significantly associated with anemia in both pregnant and non-pregnant women. The high global burden of anemia in LMICs continues to underline the need for unusual approaches and target interventions on an individual basis. Global commitment and movement to reduce the prevalence of anemia need to be revisited and redesigned for current circumstances.

Determinants of early discharge after birth among mothers delivered vaginally at health facilities: further analysis of the Ethiopian demographic health survey.

INTRODUCTION: The majority of maternal and newborn deaths take place during the first few hours and days after birth and thus postnatal contacts should begin as early as possible, especially within the first 24 h, then again within two to three days after delivery. Globally, early postnatal discharge has increased over the past 50 years and currently too. Even if Ethiopia has very low PNC coverage, there is no evidence on who is discharged early. Hence, the aim of this study was to determine the magnitude and the predictors for early postnatal discharge in Ethiopia. METHODS: This study was based on the secondary data analysis using the Ethiopian Demographic and Health survey (EDHS) 2016 data set. The weighted sample of 2,225 delivered mothers were included for the final analysis. The model was best fitted as assessed by Hosmer-Lemeshow test (p value = 0.1988). The variables with P-value ≤ 0.2 in the bi- variable binary logistic regression analysis were included in to the multi-variable binary logistic regression analysis. The Adjusted Odds Ratio (AOR) with 95% confidence interval (95% CI) was computed to assess the strength of association between the outcome and independent variables. The variables with a P-value of less than 0.05 in the multi-variable binary logistic regression analysis were declared as statistically significant predictors of the outcome variable. RESULT: The overall magnitude of early discharge was 70.41% (CI: 68.48, 72.30). Residence (rural; AOR: 0.61, 95% CI: 0.46, 0.80), educational status (No education; AOR: 1.87, 95% CI: 1.19, 2.94), religion (Muslim; AOR: 0.69, 95% CI: 0.55, 0.87, Others; AOR: 0.24, 95% CI: 0.10, 0.57), wealth index (Poor; AOR: 0.77; 95% CI: 0.59, 0.99), marital status (Not married; AOR: 0.29; 95% CI: 0.13, 0.67), ANC visits (No ANC visits; AOR: 0.63; 95% CI: 0.46,0.86), parity (3rd parity; AOR: 1.48; 95% CI: 1.03, 2.11), and size of the child (larger size; AOR: 0.63;95% CI: 0.50,0.79, (smaller size; AOR: 0.72; 95% CI: 0.56,0.92) were independent determinants of early discharge. CONCLUSION: A substantial proportions of mothers in Ethiopia had been discharged early (before 24 h). Residence, education, wealth index, religion, marital status, ANC follow up, parity and size of the child were predictors of early discharge. Adequate hospital stay should be promoted. Since the early discharge in Ethiopia is very high, home based postnatal visit should be strengthened focusing the identified predictors.

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.

Double burden of malnutrition and its associated factors among women in low and middle income countries: findings from 52 nationally representative data.

BACKGROUND: Double burden of malnutrition (DBM) is an emerging global public health problem. The United Nations member states adopted eradicating all forms of malnutrition as an integral component of the global agenda. However, there is evidence of a high burden of undernutrition among women and rising rates of overweight and obesity, especially in low and middle income countries (LMICs). Therefore, this study aimed to investigate the prevalence and associated factors of underweight, overweight, and obesity among women of reproductive age in LMICs. METHODS: Data for the study were drawn from a recent 52 Demographic and Health Surveys (DHS) conducted in LMICS. We included a sample of 1,099,187 women of reproductive age. A multilevel multinomial logistic regression model was used to identify factors associated with DBM. Adjusted relative risk ratio (RRR) with a 95% Confidence Interval (CI) was reported to show an association. RESULTS: The prevalence of underweight, overweight, and obesity in LMICs among women of reproductive age was 15.2% (95% CI: 15.1-15.3), 19.0% (95% CI: 18.9- 19.1), and 9.1% (95% CI: 9.0-9.2), respectively. This study found that women aged 24-34 years, aged ≥ 35 years, with primary, secondary, and above educational level, from wealthy households, using modern contraceptives, exposed to media (radio and television), and with high parity (more than one birth) were more likely to have overweight and obesity and less likely to have underweight. Moreover, the risk of having obesity (RRR = 0.59; 95% CI = 0.58-0.60 and overweight (RRR = 0.78; 95% CI = 0.77-0.79) were lower among rural women, while the risk of being underweight was (RRR = 1.13; 95% CI = 1.11-1.15) higher among rural women compared to urban women. CONCLUSION: The prevalence of underweight, overweight, and obesity was high among women of reproductive age in LMICs. Underweight, overweight, and obesity are influenced by sociodemographic, socioeconomic, and behavioral-related factors. This study shows that, in order to achieve Sustainable Development Goal 2, a multifaceted intervention approach should be considered to prevent both forms of malnutrition in women of reproductive age. This can be achieved by raising awareness and promoting healthy behaviors such as healthy eating and physical activity, especially among educated women, women from wealthy households, and women exposed to the media.

Spatial distribution of delayed initiation of antenatal care visits and associated factors among reproductive age women in Ethiopia: spatial and multilevel analysis of 2019 mini-demographic and health survey.

OBJECTIVES: This study aimed to assess the spatial distribution, wealth-related inequality and determinants for delayed initiation of antenatal care (ANC) visits among reproductive-age women in Ethiopia. DESIGN: Cross-sectional study design. SETTING: Ethiopia. PARTICIPANTS: A total of 2924 reproductive-age women who had given birth in the 5 years preceding the survey. OUTCOME MEASURE: Delayed initiation of ANC visits. RESULTS: The magnitude of delayed initiation of ANC visits among reproductive-age women in Ethiopia was 62.63% (95% CI 60.86%, 64.37%). Women aged 35-49 (AOR=1.42; 95% CI 1.04, 1.94), being protestant religion followers (AOR=1.43; 95% CI 1.06, 1.94), being in higher wealth index (AOR=0.53; 95% CI 0.41, 0.69), living in rural residence (AOR=1.50; 95% CI 1.02, 2.19) and living in the metropolitan region (AOR=0.45; 95% CI 0.26, 0.77) were significantly associated with delayed initiation of ANC visit. Southern Nations Nationalities and Peoples Region (SNNPR), Somalia, Benishangul Gumuz, Southern Addis Ababa and Gambella regions were hot spot regions for delayed initiation of ANC visits. The SaTScan analysis result identified 107 primary clusters of delayed initiation of ANC visits located in regions of SNNPR, Gambella, Southern Addis Ababa, Eastern Oromia and Benishangul Gumuz. CONCLUSIONS: Significant spatial clustering of delayed initiation of ANC visits was observed in Ethiopia. More than half of women had delayed initiation of ANC visits in Ethiopia. Women's age, religion, wealth index, residence and region were significant predictors of delayed initiation of ANC visits. There is a disproportional pro-poor distribution of delayed initiation of ANC visits in Ethiopia. Therefore, interventions should be designed in the hot spot areas where delayed initiation of ANC visits was high to enhance the timely initiation of ANC visits.

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.

Prevalence of anemia and associated factors among adult hypertensive patients in Referral Hospitals, Amhara Regional State.

Anemia is a risk factor for adverse cardiovascular disease outcomes in hypertensive patients. Chronic anemia increases preload, reduces afterload, and leads to increased cardiac output in hypertension patients. In the long term, this may result in maladaptive left ventricular hypertrophy, which in turn is a well-recognized risk factor for cardiovascular disease outcomes and all-cause mortality in hypertension. Low hemoglobin and hematocrit levels might be strongly indicate hypertensive end-organ damage, specifically kidney failure. Therefore, this study determined the prevalence of anemia and associated factors among hypertensive patients in Referral Hospitals, Amhara Regional State, Ethiopia, in 2020. An institution-based cross-sectional study was conducted in Amhara Regional Referral Hospitals from February 20 to April 30, 2020. Random and systemic sampling techniques were used to select 428 study participants. Data were entered and coded in to Epi data version 3.0 and then exported into STATA 14 for analysis. In bivariable logistic regression, variables with a p-value of < 0.25 were included in multivariable logistic regression. Using a 95% confidence interval, variables having a p-value ≤ 0.05 in multivariable logistic regression were declared as statistically significant variables. In this study, a total of 428 study participants were involved with 99.5% response rate. The prevalence of anemia among hypertensive patients was 17.6%, with a 95% CI (14.3-21.5%). Estimated glomerular filtration rate (eGFR) < 90 ml/min (AOR = 2.77, 95% CI 1.56- 4.92)], duration of hypertension (HTN) ≥ 5 years (AOR = 2.37, 95% CI 1.36-4.15), uncontrolled blood pressure (AOR = 1.91, 95% CI 1.08-3.35), and higher pulse pressure (AOR = 1.05 (95% CI 1.02-1.08) were significantly associated with anemia. Nearly one out of five hypertensive patients had anemia. Impaired estimated glomerular filtration rate, duration of HTN, blood pressure status, and pulse pressure were the independent predictors of anemia among hypertensive patients. Screening hemoglobin level at a regular interval is recommended for the hypertensive patients to take an appropriate intervention.

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.

Determinants of knowledge of the highest conception probability period among reproductive age women in Low-Income African countries: A multilevel analysis based on the recent Demographic and Health Survey.

BACKGROUND: Adequate knowledge about the highest conception probability period in the reproductive cycle allows individuals and couples to attain or avoid their fertility probabilities. Poor knowledge of conception probability period leads to undesirable outcomes like unwanted pregnancy, miscarriage, and abortion. Determinants of knowledge of highest conception probability period were not well studied on economically disadvantaged countries. Therefore, our study aimed to identify individual and community level factors of knowledge of the highest conception probability period among women of reproductive age in low income African countries. METHODS: The appended and latest Demographic and Health Survey datasets of 15 low-income African countries was used for analysis. Model fitness was done using the Intraclass correlation coefficient, median odds ratio, and deviance. A model with the lowest deviance (model-III) was selected as the best model. Multilevel logistic regression model was used to identify determinant factors of knowledge of the highest conception probability period. In the final model, adjusted odds ratio with 95% confidence interval was reported and variables with p<0.05 were considered as statistically significant with knowledge of the highest conception probability period. RESULTS: Total weighted sample of 235,574 reproductive aged women with a median age of 27 years were included. The correct knowledge of the highest conception probability period among the study participants was 24.04% (95%CI = 23.87-24.22%). Maternal age groups ((20-24 (AOR = 1.49; 95%CI = 1.44-1.55), 25-29 (AOR = 1.62; 1.56-1.68), 35-39 (AOR = 1.76; 1.68-1.84), 40-44 (AOR = 1.75; 1.67-1.83), and 45-49 (AOR = 1.83; 1.74-1.93)), marital status((currently in union (AOR = 1.75; 1.16; 1.13-1.20), formerly in union (AOR = 1.75; 1.11; 1.06-1.16)), better educational status ((secondary (AOR = 2.08; 2.01-2.14) and higher(AOR = 3.36; 3.18-3.55)), higher wealth index ((middle (AOR = 1.08; 1.04-1.12), richer (AOR = 1.24; 1.20-1.28), and richest (AOR = 1.51; 1.45-1.57)), knowledge of contraceptive methods (AOR = 2.63; 2.49-2.77), current contraceptive use (AOR = 1.14; 1.11-1.16), and urban residency (AOR = 1.26; 1.21-1.29) were statistically significant with knowledge of the highest conception probability period. CONCLUSION: In this study, knowledge of the highest conception probability period among women of reproductive age in low-income African countries was low. Therefore, improving the fertility awareness through comprehensive reproductive education or counseling could be one of the operational ways to control unintended pregnancy.

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.

Anaemia among lactating and non-lactating women in low-income and middle-income countries: a comparative cross-sectional study.

OBJECTIVE: This study aimed to assess the prevalence and determinants of anaemia among lactating and non-lactating women in low-income and middle-income countries (LMICs). DESIGN: Comparative cross-sectional study. SETTING: LMICs. PARTICIPANTS: Reproductive-age women. PRIMARY OUTCOME: Anaemia. METHODS: Data for the study were drawn from the recent 46 LMICs Demographic and Health Surveys (DHS). A total of 185 330 lactating and 827 501 non-lactating women (both are non-pregnant) who gave birth in the last 5 years preceding the survey were included. STATA V.16 was used to clean, code and analyse the data. Multilevel multivariable logistic regression was employed to identify factors associated with anaemia. In the adjusted model, the adjusted OR with 95% CI and a p value <0.05 was reported to indicate statistical association. RESULT: The prevalence of anaemia among lactating and non-lactating women was found at 50.95% (95% CI 50.72, 51.17) and 49.33% (95% CI 49.23%, 49.44%), respectively. Maternal age, mother's educational status, wealth index, family size, media exposure, residence, pregnancy termination, source of drinking water and contraceptive usage were significantly associated determinants of anaemia in both lactating and non-lactating women. Additionally, the type of toilet facility, antenatal care visit, postnatal care visit, iron supplementation and place of delivery were factors significantly associated with anaemia in lactating women. Besides, smoking was significantly associated with anaemia in non-lactating women. CONCLUSIONS AND RECOMMENDATIONS: The prevalence of anaemia was higher in lactating women compared with non-lactating. Almost half of the lactating and non-lactating women were anaemic. Both individual-level and community-level factors were significantly associated with anaemia. Governments, non-governmental organisations, healthcare professionals and other stakeholders are recommended to primarily focus on disadvantageous communities where their knowledge, purchasing power, access to healthcare facilities, access to clean drinking water and clean toilet facilities are minimal.

Pooled prevalence and risk factors of malaria among children aged 6-59 months in 13 sub-Saharan African countries: A multilevel analysis using recent malaria indicator surveys.

BACKGROUND: Every 75 seconds, a child under five dies of malaria. Mainly children, aged between six months and five years, are at the highest risk for malaria. These children lost maternal immunity and did not yet developed specific immunity to the infection. Under the age of five, children bear the highest burden of malaria in Sub-Saharan Africa (SSA). Many individual and community level factors could contribute to malaria prevalence remaining high among under-five children in the region. Thus, this study aimed to assess the pooled prevalence of malaria among children aged 6-59 months and identify potential factors associated with malaria by using recent Malaria Indicator Surveys in 13 SSA countries. METHODS: Data for this study were drawn from recent 13 Sub-Saharan African countries Malaria Indicator Surveys (MIS). A total weighted sample of 60,541 children aged 6-59 months was included. STATA version 14.2 was used to clean, code and analyze the data. Multilevel logistic regression was employed to identify factors associated with malaria. Adjusted odds ratio with 95% CI and a P value <0.05 was reported to indicate statistical association. Model fitness and comparison were done using Inter cluster correlation coefficient, Median odds ratio, proportional change in variance, and deviance. RESULTS: The pooled prevalence of malaria among children aged 6-59 months was found to be 27.41% (95% CI: 17.94%-36.88%). It ranges from 5.04% in Senegal to 62.57% in Sierra Leone. Aged 36-47 months (AOR = 3.54, 95% CI 3.21-3.91), and 48-59 months (AOR = 4.32, 95% CI 3.91-4.77), mothers attended primary education (AOR = 0.78, 95% CI 0.73-0.84), richer (AOR = 0.35, 95% CI 0.32-0.39), and richest household (AOR = 0.16, 95% CI 0.14-0.19), number of three and more under-five children (AOR = 1.35, 95% CI 1.26-1.45), improved floor material (AOR = 0.65, 95% CI 0.57-0.73), improved wall material (AOR = 0.73, 95% CI 0.64-0.84), improved roof material (AOR = 0.70, 95% CI 0.51-0.93), insecticide-treated bed net (ITN) use (0.56, 95% CI 0.51-0.62), not anemic (AOR = 0.05, 95% CI 0.04-0.06), rural resident (AOR = 2.16, 95% CI 2.06-2.27), high community ITN use (AOR = 0.40, 95% CI 0.24-0.63) and high community poverty (AOR = 2.66, 95% CI 2.53-2.84) were strongly associated with malaria. CONCLUSIONS AND RECOMMENDATIONS: Almost 3 out of 10 children were infected by malaria in 13 SSA countries. Malaria infection remains one of the main killers of children aged 6-59 months in the SSA. This study revealed that older under-five children living in large families with low incomes in rural areas are most vulnerable to malaria infection. Our results clearly indicate that ITN utilization and improved housing are promising means to effectively prevent malaria infection among children aged 6-59 months. It is therefore important to note that households with low wealth quintiles and rural residents should be prioritized in any mass distribution of ITNs. This has to be accompanied by education using mass media to enhance community awareness.

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 associated factors of severe malnutrition among under-five children in Ethiopia: further analysis of 2019 mini EDHS.

BACKGROUND: Malnutrition is both a significant cause and a result of poverty and deprivation. In developing nations, child malnutrition is still the main public health issue. Severe malnutrition affects every system of the body and leads to medical instability. The assessment of the burden of severe malnutrition is important for ready-to-use therapeutic foods and preparing therapy for these conditions. Therefore, this study aimed to assess the prevalence and spatial distribution of severe malnutrition and the factors associated with it. METHODS: Data from the 2019 Mini-EDHS (Ethiopian Demographic and Health Surveys) with stratified sampling techniques were used. The data were weighted using sample weight to restore the data's representativeness and provide accurate statistical estimations. A total of 5,006 weighted samples of children under the age of five were used to analyze the study. A multilevel binary logistic regression model was built, and a cutoff P-value of 0.05 was used. The wag staff normalized concentration index and curve as well as spatial analysis were used. RESULTS: The prevalence of severe malnutrition practice among under five years children in Ethiopia was 14.89% (95%CI: 13.93%, 15.91%), and ranges from 4.58% in Addis Ababa to 25.81% in the Afar region. Women with secondary and above education status as compared to uneducated [AOR = 0.17; 95%CI;[0.06, 0.48], high community women's education as compared to low [AOR = 0.54; 95%CI; 0.36, 0.78], women from richest household as compared to poorest [AOR = 0.63; 95%CI; 0.26, 0.94] and living in Oromia region as compared to Tigray [AOR = 0.33: 95%CI; 0.15, 0.74] were preventive factors. Whereas children 24-59 months of age as compared to under six months [AOR = 1.62; 95%CI; 1.50, 1.75], and being multiple births as compared to single [AOR = 5.34; 95%CI; 1.36,2 1.01] have significant risk factors for severe malnutrition. There was a pro-poor distribution of severe malnutrition among under-five children in Ethiopia with a concentration index of -0.23 [95%CI: -0.27, -0.19]. Severe malnutrition has significant spatial variation over regions in the country where the entire Afar, Eastern Amhara, Southern, and eastern Tigray regions were severely affected (RR = 1.72, P-value < 0.01). CONCLUSION AND RECOMMENDATIONS: The prevalence of severe malnutrition in Ethiopia is relatively high as compared to other studies and most of them were severe chronic malnutrition. Having an educated mother/caregiver, and living in a cluster with high community women's education were preventive factors for severe malnutrition in children. Whereas having an unmarried mother/caregiver, old age of the child, plurality of birth, and having double children in the family have a positive association with it. Moreover, it was disproportionately concentrated in poor households (pro-poor distribution). The spatial distribution of childhood severe malnutrition was not random. Regions like Tigray, Afar, Eastern parts of Amhara, and Somalia regions should be considered priority areas for nutritional interventions for reducing severe malnutrition. Equity-focused nutritional interventions could be needed to curb the wealth-related inequalities of childhood severe malnutrition.

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.

Childhood vaccination practices and associated factors among mothers/caregivers in Debre Tabor town, Northwest Ethiopia: A cross-sectional study.

Background: Incomplete immunization and non-immunization increase the risk of disease and death among children. This study aims to assess childhood vaccination practices and associated factors among mothers and caregivers in Debre Tabor town, Amhara region, Ethiopia. Methods: A community-based cross-sectional study design was conducted between February 30 and April 30, 2022. The study participants were proportionally allocated to all six kebeles found in the town. A systematic random sampling technique was used to select the study participants. The collected data were checked and coded and then entered into EpiData Version 3.1 and exported into SPSS Version 26. The results were organized using frequency tables, graphs, and charts, and bivariate and multivariable logistic regression were used to test the association of covariates with childhood vaccination practices. Result: Approximately 422 study mothers and caregivers participated in the study, with a response rate of 100%. The mean age was 30.63 years (11.74), which ranged from 18 to 58 years. More than half of the study participants (56.4%) expressed fears about the side effects of vaccination. A majority (78.4%) of the study participants availed of counseling services about vaccination, and 71.1% of them received regular antenatal care. This study found that approximately 280 [66.4%, 95% confidence interval (CI): 61.8-70.6] mothers/caregivers had a history of good childhood vaccination practices. The factors of the fear of side effects [adjusted odds ratio (AOR) = 3.34; 95% CI: 1.72-6.49], no workload (AOR = 6.08; 95% CI: 1.74-21.22), medium workload (AOR = 4.80; 95% CI: 1.57-14.71), being a mother of child/children (AOR = 2.55; 95% CI: 1.27-5.13), positive attitude (AOR = 2.25; 95% CI: 1.32-3.82), and sound knowledge (AOR = 3.88; 95% CI: 2.26-6.68) were significantly associated with childhood vaccination practices. Conclusion: More than half of the study participants had a history of good childhood vaccination practices. However, the rate of such practices was low among mothers and caregivers. The fear of side effects, workload, motherhood, attitude, and knowledge were all factors associated with childhood vaccination practices. Awareness creation and a consideration of the workload of mothers would be helpful in dispelling fears and increasing the rate of good practices among mothers and caregivers.

Pooled prevalence and determinants of antenatal care visits in countries with high maternal mortality: A multi-country analysis.

Background: Complications during pregnancy and childbirth are the leading causes of maternal and child deaths and disabilities, particularly in low- and middle-income countries. Timely and frequent antenatal care prevents these burdens by promoting existing disease treatments, vaccination, iron supplementation, and HIV counseling and testing during pregnancy. Many factors could contribute to optimal ANC utilization remaining below targets in countries with high maternal mortality. This study aimed to assess the prevalence and determinants of optimal ANC utilization by using nationally representative surveys of countries with high maternal mortality. Methods: Secondary data analysis was done using recent Demographic and Health Surveys (DHS) data of 27 countries with high maternal mortality. The multilevel binary logistic regression model was fitted to identify significantly associated factors. Variables were extracted from the individual record (IR) files of from each of the 27 countries. Adjusted odds ratios (AOR) with a 95% confidence interval (CI) and p-value of ≤0.05 in the multivariable model were used to declare significant factors associated with optimal ANC utilization. Result: The pooled prevalence of optimal ANC utilization in countries with high maternal mortality was 55.66% (95% CI: 47.48-63.85). Several determinants at the individual and community level were significantly associated with optimal ANC utilization. Mothers aged 25-34 years, mothers aged 35-49 years, mothers who had formal education, working mothers, women who are married, had media access, households of middle-wealth quintile, richest household, history of pregnancy termination, female household head, and high community education were positively associated with optimal ANC visits in countries with high maternal mortality, whereas being rural residents, unwanted pregnancy, having birth order 2-5, and birth order >5 were negatively associated. Conclusion and recommendations: Optimal ANC utilization in countries with high maternal mortality was relatively low. Both individual-level factors and community-level factors were significantly associated with ANC utilization. Policymakers, stakeholders, and health professionals should give special attention and intervene by targeting rural residents, uneducated mothers, economically poor women, and other significant factors this study revealed.

Geographical variation of common childhood illness and its associated factors among under-five children in Ethiopia: spatial and multilevel analysis.

Although substantial progress has been made in reducing child mortality over the last three decades, the magnitude of the problem remains immense. Ethiopia is one of the countries with a high under-five mortality rate due to childhood illnesses including acute respiratory infections, diarrhea, and fever that varies from place to place. It is vital to have evidence of the factors associated with childhood illnesses and the spatial distribution across the country to prioritize and design targeted interventions. Thus, this study aimed to investigate the spatial cluster distribution and associated factors with common childhood illnesses. Secondary data analysis based on the 2016 Ethiopian Demographic and Health Survey data was carried out. A total weighted sample of 10,417 children was included. The study used ArcGIS and SaTScan software to explore spatial distribution. For associated factors, a multilevel binary logistic regression model was fitted using STATA V.14 software. 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 the problem. ICC, MOR, PCV, and deviance (-2LLR) were used to check model fitness and model comparison. In this study, the prevalence of common childhood illnesses among under-five children was 22.5% (95% CI: 21.6-23.3%). The spatial analysis depicted that common childhood illnesses have significant spatial variation across Ethiopia. The SaTScan analysis identified significant primary clusters in Tigray and Northern Amhara regions (log-likelihood ratio (LLR) = 60.19, p < 0.001). In the multilevel analysis, being rural residence [AOR = 1.39, 95% CI (1.01-1.98)], small child size at birth [AOR = 1.36, 95% CI (1.21-1.55)], high community poverty [AOR = 1.26, 95% CI (1.06-1.52)], mothers aged 35-49 [AOR = 0.81, 95% CI (0.69-0.94)], the household had electricity [AOR = 0.77, 95% CI (0.61-0.98)], the household had a refrigerator [AOR = 0.60, 95% CI (0.42-0.87)], improved drinking water [AOR = 0.82, 95% CI (0.70-0.95)], improved toilet [AOR = 0.72, 95% CI (0.54-0.94)], average child size at birth [AOR = 0.83, 95% CI (0.75-0.94)] were significantly associated with common childhood illnesses. Common childhood illnesses had spatial variations across Ethiopia. Hotspot areas of the problem were found in the Tigray, Northern Amhara, and Northeast SNNPR. Both individual and community-level factors affected common childhood illnesses distribution and prevalence in Ethiopia. Therefore, public health intervention should target the hotspot areas of common childhood illnesses to reduce their incidence in the country.