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

Abstract 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

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

Abstract 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

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

Abstract 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

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.

BackgroundAdequate 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.MethodsThe 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 pResultsTotal 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.ConclusionIn 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

Individual and community-level factors associated with iron-rich food consumption among children aged 6–23 months in Rwanda: A multilevel analysis of Rwanda Demographic and Health Survey

Background Iron-rich food consumption has an invaluable effect for neonatal and fetal brain development as well as metabolic activities. Despite the public health importance of the consumption of iron-rich foods, there was no study, that assessed iron-rich food consumption in Rwanda. Therefore this study aimed to assess iron-rich food consumption and associated factors among children aged 6–23 months using Rwanda Demographic and Health Survey (RDHS). Methods Secondary data analysis was done using RDHS-2019/20. Total weighted samples of 2455 children aged 6–23 months were included. Data coding, cleaning, and analysis were performed using Stata 16. Multilevel binary logistic regression were performed to identify factors associated with iron-rich food consumption. Adjusted Odds Ratio (AOR) with a 95% CI, and p-value Results The prevalence of good iron-rich food consumption was 23.56%(95% CI: 21.92,25.28). Northern province of Rwanda (AOR  =  0.26,95%CI: 0.15,0.46), mothers secondary education and above (AOR: 2.37, 95% CI: 1.41, 4.01), married mothers (AOR:1.31, 95% CI: 1.01,1.71), rich wealth status (AOR = 2.06, 95% CI: 1.48, 2.86), having post-natal visit (AOR = 1.45, 95% CI: 1.10,1.91), mothers media exposure (AOR: 1.75, 95% CI: 1.22, 2.52) and drugs given for intestinal parasite (AOR = 1.37, 95% CI: 1.04, 1.80) were associated with iron-rich food consumption. Conclusions This study shows that overall iron-rich foods consumption was low in Rwanda. The residing in the North province, mother’s secondary and higher educational status, married marital status, rich and middle wealth status, having media exposure, drugs given for intestinal parasites, and having child’s post-natal checkup were variables significantly associated with iron-rich food consumption. The region-based intervention will improve the consumption of iron-rich food. In addition, health policies and programs should target educating mothers/caregivers, encouraging parents to live together, improving their wealth status, working on mass media access by the women, and encouraging mothers post-natal checkups to improve iron-rich food consumption