Missed antenatal care follow-up and associated factors in Eastern Zone of Tigray, Northern Ethiopia

Multilevel Count Regression Analysis of Factors Associated with the Desired Number of Antenatal Care Service Visits in Ethiopia

BACKGROUND

Visiting the desired number of antenatal care services improve the success of maternal health programs in terms of mother and child health. The study aimed to identify the factors associated with differences in the number of antenatal care service visits across and within regions of Ethiopia by using the 2019 Ethiopian Mini Demographic Health Survey (EMDHS).

METHODS

A total of 3979 women who were pregnant or gave birth within 5 years preceding the survey from the 2019 Ethiopian Mini Demographic Health Survey were included in the analysis. A multi-level Hurdle negative binomial regression model was selected to consider the hierarchical nature of the data in determining the factors associated with the barriers to the desired number of antenatal care service visits.

RESULTS

About one-fourth (26.2%) of mothers did not visit any antenatal care, and only 137 (3.4%) women visited the service eight times and above. The random intercept with the fixed coefficient of multilevel Hurdle negative binomial model results has shown that women in the age group between 25 and 34 (AOR = 1.057), in the age group between 35 and 49 (AOR = 1.108), protestant religion follower women (AOR = 0.918), Muslim women (AOR = 0.945), other religion follower women (AOR = 0.768), mothers in primary educational level (AOR = 1.123), secondary and higher education level (AOR = 1.228), rich mothers (AOR = 1.134), and mothers living in rural (AOR = 0.789) were statistically associated with regional variation regarding the frequency of ANC service visits.

CONCLUSIONS

The majority of pregnant women did not visit antenatal care services according to the findings of this study. This study's results revealed that the predictor variables such as mother's age, education level, religion, place of residence, marital status, and wealth index were significant, and the findings revealed that there were regional differences in ANC visits in Ethiopia. Women's economic and educational interventions should be a top priority.

Incidence and predictors of acute kidney injury among asphyxiated neonates in comprehensive specialized hospitals, northwest Ethiopia, 2023

Acute kidney injury (AKI) is characterized by a sudden decline in the kidneys' abilities to remove waste products and maintain water and electrolyte homeostasis. This study aims to determine the incidence and predictors of acute kidney injury among neonates with perinatal asphyxia admitted at the neonatal intensive care unit of West Amhara Comprehensive Specialized Hospital, Northwest Ethiopia, 2023. Multicentred institution-based retrospective follow-up study was conducted from October 1, 2021, to September 30, 2023, among 421 perinatal asphyxia neonates. A simple random sampling technique was used. The data were collected using a data extraction checklist from the medical registry of neonates. The collected data were entered into EPI-DATA V.4.6.0.0. and analyzed using STATA V.14. The Kaplan-Meier failure curve and log-rank test were employed. Bivariable and multivariable Cox regression was carried out to identify predictors of Acute kidney injury. Statistical significance was declared at a p ≤ 0.05. The overall incidence of AKI was 54 (95% CI 47.07-62.51) per 100 neonate days. C/S delivery (AHR = 0.64; (95% CI 0.43-0.94), prolonged labor (AHR = 1.43; 95% CI 1.03-1.99) low-birth weight times (AHR = 1.49; (95% CI 1.01-2.20), stage three HIE(AHR: 1.68; (95% CI (1.02-2.77), No ANC follow up (AHR = 1.43; 95% CI 1.9 (1.07-3.43) and Hyperkalemia (AHR = 1.56; 95% CI 1.56 (1.05-2.29); 95% CI) were significant predictors. The incidence rate of acute kidney injury was higher than in other studies conducted on other groups of neonates. Cesarean section delivery, prolonged low birthweight, no Anc follow-up, stage 3 HIE, and neonatal hyperkalemia were predictors of acute kidney injury. However, it needs further prospective study. Therefore, the concerned stakeholders should give due attention and appropriate intervention to these predictors.

Antenatal care service utilization disparities between urban and rural communities in Ethiopia: A negative binomial Poisson regression of 2019 Ethiopian Demography Health Survey

BACKGROUND

Although there have been consistent improvements in maternal mortality, it remains high in developing countries due to unequal access to healthcare services during pregnancy and childbirth. Thus, this study aimed to further analyze the variations in the number of antenatal care utilizations and associated factors among pregnant women in urban and rural Ethiopia.

METHODS

A total of 3962 pregnant women were included in the analysis of 2019 Ethiopian Demographic and Health Survey data. A negative binomial Poisson regression statistical model was used to analyze the data using STATA version 14.0. An incident rate ratio with a 95% confidence interval was used to show the significantly associated variables.

RESULTS

Of the 3962 (weighted 3916.67) pregnant women, about 155 (15.21%) lived in urban and 848 (29.29%) rural residences and did not use antenatal care services in 2019. Women age group 20-24 (IRR = 1.30, 95%CI:1.05-1.61), 25-29 (IRR = 1.56, 95%CI:1.27-1.92), 30-34 (IRR = 1.65, 95%CI:1.33-2.05), and 35-39 years old (IRR = 1.55, 95%CI:1.18-2.03), attending primary, secondary, and higher education (IRR = 1.18, 95%CI:1.07-1.30), (IRR = 1.26, 95%CI:1.13-1.42) and (IRR = 1.25, 95%CI:1.11-1.41) respectively, reside in middle household wealth (IRR = 1.31, 95%CI:1.13-1.52), richer (IRR = 1.45, 95%CI:1.26-1.66) and richest (IRR = 1.68, 95%CI:1.46-1.93) increases the number of antenatal care utilization among urban residences. While attending primary (IRR = 1.34, 95%CI:1.24-1.45), secondary (IRR = 1.54, 95%CI:1.34-1.76) and higher education (IRR = 1.58, 95%CI:1.28-1.95), following Protestant (IRR = 0.76, 95%CI:0.69-0.83), Muslim (IRR = 0.79, 95%CI:0.73-0.85) and Others (IRR = 0.56, 95%CI:0.43-0.71) religions, reside in poorer, middle, richer, and richest household wealth (IRR = 1.51, 95%CI:1.37-1.67), (IRR = 1.66, 95%CI:1.50-1.83), (IRR = 1.71, 95%CI:1.55-1.91) and (IRR = 1.89, 95%CI:1.72-2.09) respectively, being married and widowed/separated (IRR = 1.85, 95%CI:1.19-2.86), and (IRR = 1.95, 95%CI:1.24-3.07) respectively were significantly associated with the number of antenatal care utilization among rural residences.

CONCLUSION

The utilization of antenatal care is low among rural residents than among urban residents. To increase the frequency of antenatal care utilization, health extension workers and supporting actors should give special attention to pregnant women with low socioeconomic and educational levels through a safety-net lens.

Rule-based expert system for the diagnosis of maternal complications during pregnancy: For low resource settings

Objectives

Maternal complications are health challenges linked to pregnancy, encompassing conditions like gestational diabetes, maternal sepsis, sexually transmitted diseases, obesity, anemia, urinary tract infections, hypertension, and heart disease. The diagnosis of common pregnancy complications is challenging due to the similarity in signs and symptoms with general pregnancy indicators, especially in settings with scarce resources where access to healthcare professionals, diagnostic tools, and patient record management is limited. This paper presents a rule-based expert system tailored for diagnosing three prevalent maternal complications: preeclampsia, gestational diabetes mellitus (GDM), and maternal sepsis.

Methods

The risk factors associated with each disease were identified from various sources, including local health facilities and literature reviews. Attributes and rules were then formulated for diagnosing the disease, with a Mamdani-style fuzzy inference system serving as the inference engine. To enhance usability and accessibility, a web-based user interface has been also developed for the expert system. This interface allows users to interact with the system seamlessly, making it easy for them to input relevant information and obtain accurate disease diagnose.

Results

The proposed expert system demonstrated a 94% accuracy rate in identifying the three maternal complications (preeclampsia, GDM, and maternal sepsis) using a set of risk factors. The system was deployed to a custom-designed web-based user interface to improve ease of use.

Conclusions

With the potential to support health services provided during antenatal care visits and improve pregnant women's health outcomes, this system can be a significant advancement in low-resource setting maternal healthcare.

Missed Opportunity of Antenatal Care Services Utilization and Associated Factors among Reproductive Age Women in Eastern Hararghe Zone, Eastern Ethiopia: Mixed Methods Study

Background

Despite the enormous advantages of early pregnancy-related problem diagnosis and therapy during prenatal care visits, not all pregnant women begin antenatal care at the proper time. Thus, this study aims to identify factors associated with missed opportunities for antenatal care service utilization among reproductive-age women in Eastern Ethiopia.

Methods

A mixed methods study design (quantitative and qualitative) was conducted in Grawa, Meta, and Haramaya woredas from September 5 to December 5, 2019. The quantitative data were analyzed using SPSS version 25. A multivariable logistic regression analysis model was used to identify the predictors. Statistical software programs based on ATLAS.ti version 8.2 was were used to conduct the thematic analysis of the qualitative data.

Results

Overall, missed opportunities for antenatal care were 15.4% of 95% (12.1, 19.1%). Factors such as maternal age being 15-24 (AOR = 6.9, 95% CI: 2.89-8.81); having a college education (AOR = 0.02, 95% CI: 0.001, 0.42), elementary (AOR = 0.05, 95% CI: 0.002, 0.98), and secondary education (AOR = 0.04, 95% CI: 0.001, 0.88); having five and more parity (AOR = 0.08, 95% CI: 0.01, 0.75); three visits (AOR = 0.10, 95% CI: 0.02, 0.71); those in the first trimester (AOR = 0.02, 95% CI: 0.001, 0.35) and the second trimester (AOR = 0.01, 95% CI: 0.001, 0.26); and get information from a health facility (AOR =0.09, 95% CI: 0.01, 0.67) and traditional birth attendance (AOR = 0.02, 95% CI: 0.001, 0.74) were factors statistically associated with outcome variables.

Conclusions

According to this report, relatively high proportions of pregnant women experienced missed opportunities in antenatal care follow-up. Factors such as maternal age, education, parity, frequency, timing, and media access were statistically significantly correlated with missed antenatal care follow-up. Therefore, all stakeholders should emphasize advocating for and enhancing the benefits of antenatal care; this in turn plays a crucial role in increasing the follow-up of clients for these crucial services. Moreover, health policy implementers need to coordinate their tracking of pregnant women who missed their antenatal care session.

Incidence and predictors of women's place of delivery among pregnant women who received antenatal care in Southern Ethiopia: a prospective cohort study

BACKGROUND

Home delivery is responsible for a high number of maternal and newborn deaths due to the occurrence of obstetric complications during labour and delivery. Little is known about the incidence and predictors of women's place of delivery after utilizing antenatal care services in Ethiopia and the study area. Therefore, the purpose of this study is to fill those gaps in the studies mentioned above by determining the incidence and predictors of women's place of delivery.

METHODS

An institutional-based prospective cohort study was conducted among pregnant women in public hospitals of Gedeo zone, Southern Ethiopia between May 1 and October 30, 2021. A total of 390 pregnant women receiving antenatal care at Gedeo zone public hospitals were enrolled using a systematic random sampling technique and followed up to delivery. Data were entered into Epidata version 3.1 and exported to SPSS version 25 for analysis. For both bivariate and multivariable analyses, a poison regression model was used to identify the association between the dependent and independent variables. A statistical significance level was declared at a p-value less than 0.05.

RESULTS

In this study, the overall incidence of home delivery and institutional delivery among pregnant women was 37.4% (95% CI: (32.5, 41.9)) and 62.6% (95% CI: 58.1, 67.5)) respectively. Distance from home to nearest health facility(ARR = 1.17:95%:CI (1.01,1.36), poor quality of antenatal care service(ARR = 1.40;95%:CI (1.10,1.79), no formal maternal education(ARR = 1.49;95%:CI (1.21,1.83), previous home delivery history(ARR = 1.38;95%:CI(1.22,1.56), unplanned pregnancy(ARR = 1.23;95%:CI (1.10,1.37) and history of pregnancy-related complication at health facility(ARR = 1.16;95%:CI(1.02,1.33) were predictors of home delivery.

CONCLUSIONS

The study indicated a high incidence of home birth after utilizing antenatal care services. As a result, interventions targeting those identified factors during antenatal care services are critical to reducing home births.

Antenatal Care Dropout and Associated Factors in Ethiopia: A Systematic Review and Meta-Analysis

Background

The prevalence and determinants of antenatal care (ANC) dropout in Ethiopia were studied. However, the results were inconsistent and showed considerable variation. Hence, this meta-analysis aimed at estimating the overall prevalence of ANC dropout and its predictors in Ethiopia.

Methods

A comprehensive search of published studies was done using different international databases such as such as PubMed, DOJA, Embase, Cochrane Library, Google Scholar, and the institutional repository of Ethiopian universities were used to search for relevant studies. Data were extracted using Microsoft Excel spreadsheet, and exported to STATA v17 for analysis. A random effect model was used to estimate the overall national prevalence of ANC dropout. Fixed effects model were used to compute the pooled adjusted odd ratios (AOR) with the corresponding 95% confidence intervals (CIs). I2 test was used to assess heterogeneity of the included studies. Egger's tests was used to check for the presence of publication bias.

Results

A total of 7 studies were included in this systematic review and meta-analysis with 11,839 study participants. The overall pooled prevalence of ANC in Ethiopia was found to be 41.37% (95% CI =35.04, 47.70). Distance from the health care facility (AOR = 2.93, 95% CI = 2.75, 3.11), pregnancy complication signs (AOR = 2.97, 95% CI = 2.77, 3.16), place of residence (AOR =  1.79, 95% CI = 1.31, 2.26), educational level (AOR = 1.79, 95%CI = 1.37, 2.21), and age group (30-49) (AOR = 0.61, 95% CI = 0.45, 0.78) were significantly associated with ANC dropout.

Conclusion

Based on this review and meta-analysis, 41% of Ethiopian women dropped out of ANC visits before the minimum recommended visit (4 times). Hence, to reduce the number of ANC dropouts, it is important to counsel and educate women during their first prenatal care. Issues of urban–rural disparities and noted hotspot areas for ANC dropout should be given further attention.

Critical factors associated with postpartum maternal death in Ethiopia

BACKGROUND

Globally most maternal deaths occur during the postpartum period; however, the burden is disproportionately higher in some Sub-Saharan African countries including Ethiopia. According to Ethiopian Ministry of Health's annual report, in 2019 alone, nearly 70% of maternal deaths happen during the postpartum period. Although several studies have been conducted on postpartum maternal deaths in Ethiopia, most of the studies were focused either on individual-level or district-level determinants with limited emphasis on the timing of death and in relatively small and localized areas. Therefore, this study aimed at identifying the determinants of postpartum death both at an individual and districts level, which could shed light on designing pragmatic policies to reduce postpartum maternal death.

METHODS

The study utilized secondary data obtained from the Ethiopian maternal death surveillance system. A total of 4316 reviewed maternal death from 645 districts of Ethiopia were included in the analysis. A multilevel multinomial logistic regression model was applied to examine factors significantly associated with postpartum maternal death in Ethiopia.

RESULT

The findings revealed that 65.1% of maternal deaths occurred during the postpartum period. The factors associated with postpartum death included previous medical history (history of ANC follow up and party), medical causes (obstetrics haemorrhage, hypertensive disorder of pregnancy, pregnancy-related infection, and non-obstetrics complication), personal factors (poor knowledge of obstetrics complication), and facility-level barriers (shortage of life-saving maternal commodities and delay in receiving treatment).

CONCLUSION

Almost seven in ten maternal deaths happen during the postpartum period. The rate was even higher for some women based on their previous medical history, level of awareness about obstetrics complication, medical conditions, as well as the readiness of the health facility at which the women was served. Since the postpartum period is identified as a critical time for reducing maternal death, policies and actions must be directed towards improving health education, ANC service utilization, and facility-level readiness.

Number of antenatal care utilization and associated factors among pregnant women in Ethiopia: zero-inflated Poisson regression of 2019 intermediate Ethiopian Demography Health Survey

BACKGROUND

The frequency of antenatal care utilization enhances the effectiveness of the maternal health programs to maternal and child health. The aim of the study was to determine the number of antenatal care and associated factors in Ethiopia by using 2019 intermediate EDHS.

METHODS

Secondary data analysis was done on 2019 intermediate EDHS. A total of 3916.6 weighted pregnant women were included in the analysis. Zero-inflated Poisson regression analysis was done by Stata version 14.0. Incident rate ratio and odds ratio with a 95% confidence interval were used to show the strength and direction of the association.

RESULT

About one thousand six hundred eighty eight (43.11%) women were attending four and more antenatal care during current pregnancy. Attending primary education (IRR = 1.115, 95% CI: 1.061, 1.172), secondary education (IRR = 1.211, 95% CI: 1.131, 1.297) and higher education (IRR = 1.274, 95% CI: 1.177, 1.378), reside in poorer household wealth index (IRR = 1.074, 95% CI: 1.01, 1.152), middle household wealth index (IRR = 1.095, 95% CI: 1.018, 1.178), rich household wealth index (IRR = 1.129, 95% CI: 1.05, 1.212) and richer household wealth index (IRR = 1.186, 95% CI: 1.089, 1.29) increases the number of antenatal care utilization. The frequency of antenatal care was less likely become zero among women attending primary (AOR = 0.434, 95% CI: 0.346, 0.545), secondary (AOR = 0.113, 95% CI: 0.053, 0.24), higher educational level (AOR = 0.052, 95% CI: 0.007, 0.367) in the inflated part.

CONCLUSION

The number of antenatal care utilization is low in Ethiopia. Being rural, poorest household index, uneducated and single were factors associated with low number of antenatal care and not attending antenatal care at all. Improving educational coverage and wealth status of women is important to increase the coverage and frequency of antenatal care.