Magnitude and associated factors of unintended pregnancy in Ethiopia: a multilevel analysis using 2016 EDHS data

Geospatial pattern of HIV seropositivity and its predictors among women in Ethiopia. A spatial and multiscale geographically weighted regression analysis

BACKGROUND

Although promising efforts have been made so far, HIV remains a public health concern. Women in Ethiopia are disproportionately affected by HIV, accounting for a majority of new infections and AIDS-related deaths. However, the geospatial distribution of HIV among women in Ethiopia is not well understood, making it challenging to develop geographically targeted measures. Besides, to accelerate the pathway of decreasing HIV prevalence and plan geographically specific interventions, understanding the geospatial distribution of HIV seropositivity and its predictors among women plays a significant role.

METHODS

A spatial and multiscale geographically weighted regression analysis was conducted using the 2016 EDHS dataset, comprising 14,778 weighted samples of women in the reproductive age group. The EDHS sample underwent two-stage stratification and selection. The data were extracted between October 18 and 30, 2023. Non-spatial analysis was carried out using STATA version 17. Additionally, ArcGIS Pro and Sat Scan version 9.6 were used to visually map HIV seropositivity. Global Moran's I was computed to evaluate the distribution of HIV seropositivity. The Getis-Ord Gi* spatial statistic was utilized to identify significant spatial clusters of cold and hot spot areas. Geographically weighted regression analysis was subsequently performed to identify significant predictors of HIV seropositivity. Significance was established at a P-value <0.05 throughout all statistical analyses.

RESULTS

HIV seropositivity among women in Ethiopia is distributed non-randomly (Global Moran's I = 0.16, p-value <0.001 and Z-score = 7.12). Significant hotspot clustering of HIV seropositivity was found in the Addis Ababa, Harari, Dire Dawa, and Gambela region. Poor wealth index, being divorced and widowed, having more than one sexual partner, and early first sexual experience (<15 years) were found to be predictors of geographical variation of HIV seropositivity among women.

CONCLUSION

HIV seropositivity among women in Ethiopia varies geographically. Thus, deploying additional resources in high hotspot regions is recommended. Programs should focus on improving the economic empowerment of women to prevent the from engaging in risky sexual behaviors. Furthermore, comprehensive sex education programs in schools and community settings regarding the consequences of early first sexual debut might play a role in reducing HIV seropositivity among women in Ethiopia.

Minimum acceptable diet and its predictors among children aged 6-23 months in Ethiopia. A multilevel cloglog regression analysis

Despite significant progress made previously and the recognized health benefits of optimal feeding practices, ensuring a minimum acceptable diet in developing countries like Ethiopia remains a formidable challenge. Additionally, there is a scarcity of data in this area. Therefore, our study aims to identify predictors of a minimum acceptable diet using a powerful tool called complementary log-log regression analysis. Thus, it contributes to accelerating the pathway of ending child undernutrition thereby promoting optimal child health. A multilevel analysis was conducted among a weighted sample of 1427 children aged 6-23 months using the 2019 Ethiopian Demographic Health Survey (EDHS). The EDHS sample was stratified and selected in two stages. A minimum acceptable diet is defined as a composite of children fed with both minimum dietary diversity and minimum meal frequency. Data extraction took place between August 1 and 30, 2023. We used STATA software version 17 for data analysis. A complementary log-log regression model was fitted to identify significant predictors of the minimum acceptable diet. A p-value of ≤0.05 was used to declare statistically significant predictors. Only 10.44% (95CI: 8.90-12.15) of the children meet the minimum acceptable diet. Child aged (18-23 month) (AOR = 1.78, 95CI:1.14-2.78)], mother's educational level (secondary and above education) (AOR = 279,95CI: 1.51-5.15), number of children three and above [(AOR = 0.78,95CI: 0.53-0.94], institutional delivery [AOR = 1.77,95CI: 1.11-3.11], having postnatal-check-up [AOR = 2.33,95CI: 1.59-3.41] and high community poverty level (AOR = 0.49,95CI: 0.29-0.85) were found to be predictors of minimum acceptable diet. In Ethiopia, only one in ten children achieve a minimum acceptable diet. Which is lower than the global report findings (16%). Enhancing maternal education programs and promoting family planning strategies to reduce household size are essential. Besides, encouraging institutional deliveries and postnatal check-ups are also recommended. It is necessary to implement targeted interventions for poverty reduction in communities to ensure that families can afford nutritious diets for their children.

Geospatial pattern of level of minimum acceptable diet and its determinants among children aged 6-23 months in Ethiopia. Spatial and multiscale geographically weighted regression analysis

Background

Despite prior progress and the proven benefits of optimal feeding practices, improving child dietary intake in developing countries like Ethiopia remains challenging. In Ethiopia, over 89% of children fail to meet the minimum acceptable diet. Understanding the geographical disparity and determinants of minimum acceptable diet can enhance child feeding practices, promoting optimal child growth.

Methods

Spatial and multiscale geographically weighted regression analysis was conducted among 1,427 weighted sample children aged 6-23 months. ArcGIS Pro and SatScan version 9.6 were used to map the visual presentation of geographical distribution failed to achieve the minimum acceptable diet. A multiscale geographically weighted regression analysis was done to identify significant determinants of level of minimum acceptable diet. The statistical significance was declared at P-value <0.05.

Results

Overall, 89.56% (95CI: 87.85-91.10%) of children aged 6-23 months failed to achieve the recommended minimum acceptable diet. Significant spatial clustering was detected in the Somali, Afar regions, and northwestern Ethiopia. Children living in primary clusters were 3.6 times more likely to be unable to achieve the minimum acceptable diet (RR = 3.61, LLR =13.49, p < 0.001). Mother's with no formal education (Mean = 0.043, p-value = 0.000), family size above five (Mean = 0.076, p-value = 0.005), No media access (Mean = 0.059, p-value = 0.030), home delivery (Mean = 0.078, p-value = 0.002), and no postnatal checkup (Mean = 0.131, p-value = 0.000) were found to be spatially significant determinants of Inadequate minimum acceptable diet.

Conclusion

Level of minimum acceptable diet among children in Ethiopia varies geographically. Therefore, to improve child feeding practices in Ethiopia, it is highly recommended to deploy additional resources to high-need areas and implement programs that enhance women's education, maternal healthcare access, family planning, and media engagement.

Spatial variation and predictors of incomplete pneumococcal conjugate vaccine (PCV) uptake among children aged 12-35 months in Ethiopia: spatial and multilevel analyses

Background

Despite the Ethiopian government included the Pneumococcal Conjugate Vaccine (PCV) in the national expanded program for immunization in 2011, only 56% of children aged 12-23 months received the full dose of PCV. Despite some studies on PCV uptake in Ethiopia, there was a dearth of information on the geographical distribution and multilevel factors of incomplete PCV uptake. Hence, this study aimed to identify the spatial variations and predictors of incomplete PCV uptake among children aged 12-35 months in Ethiopia.

Methods

The study was based on an in-depth analysis of 2016 Ethiopia Demographic Health Survey data, using a weighted sample of 3,340 women having children aged 12-35 months. Arc-GIS version 10.7 and SaTScan version 9.6 statistical software were used for the spatial analysis. To explore spatial variation and locate spatial clusters of incomplete PCV, the Global Moran's I statistic and Bernoulli-based spatial scan (SaTScan) analysis were carried out, respectively. A multilevel mixed-effect multivariable logistic regression was done by STATA version 16. Adjusted odds ratio (AOR) with its corresponding 95% CI was used as a measure of association, and variables with a p < 0.05 were deemed as significant determinants of incomplete PCV.

Results

The overall prevalence of incomplete PCV in Ethiopia was found to be 54.0% (95% CI: 52.31, 55.69), with significant spatial variation across regions (Moran's I = 0.509, p < 0.001) and nine most likely significant SaTScan clusters. The vast majority of Somali, southeast Afar, and eastern Gambela regions were statistically significant hot spots for incomplete PCV. Lacking ANC visits (AOR = 2.76, 95% CI: 1.91, 4.00), not getting pre-birth Tetanus injections (AOR = 1.84, 95% CI: 1.29, 2.74), home birth (AOR = 1.72, 95% CI: 1.23, 2.34), not having a mobile phone (AOR = 1.64, 95% CI: 1.38, 1.93), and residing in a peripheral region (AOR = 4.63; 95% CI: 2.34, 9.15) were identified as statistically significant predictors of incomplete PCV.

Conclusion

The level of incomplete PCV uptake was found to be high in Ethiopia with a significant spatial variation across regions. Hence, the federal and regional governments should collaborate with NGOs to improve vaccination coverage and design strategies to trace those children with incomplete PCV in peripheral regions. Policymakers and maternal and child health program planners should work together to boost access to maternal health services like antenatal care and skilled delivery services to increase immunization coverage.

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.

Assessment of knowledge on emergency contraceptives and factors associated with utilization among female students in Bonga College of Education, Southwest Region, Ethiopia: cross-sectional study

BACKGROUND

Unintended pregnancy is a major public health problem in sexually active female students in Ethiopia. In higher education, female students are exposed to unprotected sex and are at risk of pregnancy, abortion, and its associated problems.

OBJECTIVE

The objective of this study was to assess knowledge of female students about emergency contraceptives and determine factors associated with utilization among college female students at Bonga College of Education, Southwest Ethiopia.

METHODS

The study was conducted from November 10, 2022 to May 30, 2023. All female students of Bonga College of education in all departments were included in this study purposively. Data were collected using Amharic version pretested questionnaire. Data obtained from the survey was entered into Microsoft Excel 2010 and analysed with SPSS version 20.0. Data summary was done with descriptive statistics. Logistic regression was used to measure associations between dependent and independent variables. Odds ratio was used to measure strengths of association between variables. Statistical significance was considered at 95% confidence level (CL). P-value less than 0.05 was considered significant during the analysis.

RESULTS

In this study a total of 103 College female students were involved. The mean age of the respondents was 20.6 (SD ± 2.06) years. The finding showed that 31 (31.1%) female students had started sexual intercourse and among them 58.1% faced pregnancy. Among the total sexually experienced respondents, 93.5% use contraceptive methods while others 6.5% do not use. Among the total 31 study participants, 27(87.1%) started using EC. The majority of pregnancy (83.3%) was intended type whereas 16.7% was unwanted pregnancy. Regarding the general knowledge about contraceptive methods, 19(18.4%) had poor knowledge. Among the total 103 female college students, 66(64.1%) heard about emergency contraceptives. Forced sex and unprotected free sex are predicting factors that induces female students to use emergency contraceptives. Fear of discontinuing school was the main inducing factor to commit abortion. Logistic regression analysis showed that college female students whose age category above 25 years were more likely to use emergency contraceptives. Students who came from urban area are more likely to use EC than rural areas. Married female students (AOR = 2.5, 95% CI: 0.76, 8.7) were two times likely to use EC as contraceptive method.

CONCLUSIONS

Female students who came from urban area use EC better than who came from rural areas. Majority of sexually active female students had good practice and knowledge of using EC but some had poor knowledge. Forced sex and free sexual practice are key determinant factors that induces to use EC. Abortion was mainly done in private clinic. Fear of discontinuing school was determinant factors identified to commit abortion. Therefore, responsible bodies should develop strategies to improve female students' reproductive health related to emergency contraceptives.

Predictors of late initiation of breastfeeding practice in Ethiopia: a multilevel mixed-effects analysis of recent evidence from EDHS 2019

OBJECTIVES

To identify the predictors of late initiation of breastfeeding practice in Ethiopia.

DESIGN

Cross-sectional study design.

SETTING

Ethiopia.

PARTICIPANTS

A total of 1982 weighted samples of mothers with children aged under 24 months were included.

OUTCOME MEASURE

Late initiation of breastfeeding practice.

RESULTS

The prevalence of late breastfeeding initiation practice is 26.4% (95 CI 24.4 to 28.3). Being a young mother (15-24 years) (adjusted odds ratio (AOR) =1.66; 95 CI 1.06 to 2.62), no antenatal care (ANC) visit (AOR=1.45; 95 CI 1.04 to 2.02), caesarean section (AOR=4.79; 95 CI 3.19 to 7.21) and home delivery (AOR=1.53; 95 CI 1.14 to 2.06) were found to be the determinants of late initiation of breast feeding.

CONCLUSION

More than one-fourth of newborn children do not start breast feeding within the WHO-recommended time (first hour). Programmes should focus on promoting the health facility birth and increasing the ANC visits. Further emphasis should be placed on young mothers and those who deliver via caesarean section to improve the timely initiation of breast feeding.

Determinants of unintended pregnancy and induced abortion among adolescent women in Ethiopia: Evidence from multilevel mixed-effects decomposition analysis of 2000-2016 Ethiopian demographic and health survey data

BACKGROUND

Adolescents are highly at risk of unintended pregnancy due to physiological, sexual, social and psychological growth. The pregnancy may end with early childbirth, induced abortion and its complications. Although, the trends of unintended pregnancy and induced abortion have declined over time in Ethiopia, evidence is limited on key determinants for decline in order to propose vital areas of interventions. The current study aimed to identify the determinants of unintended pregnancy and induced abortion among adolescents over the decades.

METHODS

Trends in the prevalence of unintended pregnancy and induced abortion among adolescent women aged 15-19 years were investigated based using a series of the Ethiopia Demographic and Health Surveys (EDHS) data for the years 2000, 2005, 2011, and 2016. Sub-sample of adolescent women data was extracted from each survey. The combined datasets for unintended pregnancy and induced abortion over the study period (2000-2016) was analyzed. The percentage changes of trends of unintended pregnancy and induced abortion with its corresponding 95% CI for each variable were calculated. Multilevel mixed-effects decomposition analysis was applied to identify factors significantly associated with trends of unintended pregnancy and induced abortion among adolescents.

RESULTS

The trends of unintended pregnancy and induced abortion significantly declined during the study period. Unintended pregnancy among Ethiopian adolescents aged 15-19 years significantly decreased from 307 (41.4%) (95% CI: 35.7, 47.2%, p<0.001) in 2000 to 120 (25.1%) (95% CI: 18.9, 31.4%) in 2016. On the other hand, induced abortion significantly decreased from 62 (8.3%) (95% CI: 5.2, 11.4%) in 2000 to 20 (4.1%) (95% CI: 1.3, 6.9%, p = 0.004) in 2016. Age older than 18 years (Coeff = -0.41, 95%CI, -0.64, -0.18, p<0.001), living in Somali regional state (Coeff = -2.21, 95%CI, -3.27, -1.15, p<0.001) and exposure to media (Coeff = -0.60, 95%CI, -0.87, -0.33, p<0.001) showed a significance association with decline in unintended pregnancy whereas; living in Benshangul-Gumuz regional state (Coeff = -0.17, 95%CI, -0.32, -0.19, p = 0.03) and ANC service utilization history (Coeff = -0.81, 95%CI, -1.45, -0.17, p = 0.01) showed significance association with decline in induced abortion.

CONCLUSION

The trends of unintended pregnancy and induced abortion significantly declined over the past decades in Ethiopia. Adolescent girls aged 17 years and above, exposure to media and living in Somali showed significant association with decline in unintended pregnancy whereas; living in Benshangul-Gumuz and ANC service utilization history showed significant decline with induced abortion. Exposure to media and utilization of Antenatal care (ANC) services may improve adolescent girls' reproductive health uptake.

Residential and wealth-related disparities of high fertility preferences in Ethiopia: A decomposition analysis

BACKGROUND

Fertility preference significantly influences contraceptive uptake and impacts population growth, especially in low and middle-income countries. In the previous pieces of literature, variations in fertility preference across residence and wealth categories and its contributors were not assessed in Ethiopia. Therefore, we decomposed high fertility preferences among reproductive-aged women by residence and wealth status in Ethiopia.

METHODS

We extracted individual women's record (IR) data from the publicly available 2016 Ethiopian Demographic Health Survey (EDHS) dataset. A total of 13799 women were included in the study. Multivariate decomposition analysis was conducted to identify the factors that contributed to the differences in the percentage of fertility preferences between rural and urban dwellers. Furthermore, we used an Erreygers normalized concentration index and curve to identify the concentration of high fertility preferences across wealth categories. The concentration index was further decomposed to identify the contributing factors for the wealth-related disparities in high fertility preference. Finally, the elasticity of wealth-related disparity for a change in the socioeconomic variable was estimated.

RESULTS

The weighted percentage of women with high fertility preference among rural and urban residents was 42.7% and 19%, respectively, reflecting a 23.7 percentage point difference. The variations in fertility preference due to the differences in respondents' characteristics accounted for 40.9%. Being unmarried (8.4%), secondary (14.1%) and higher education (21.9%), having more than four children (18.4%), having media exposure (6.9%), middle (0.4%), richer (0.2%) and richest (0.1%) wealth were the positive and city administration (-30.2%), primary education (-1.3%) were the negative contributing factors for the variations in high fertility preferences due to population composition. Likewise, about 59% of the variations in fertility preference were due to variations in coefficients. City administration (22.4%), primary (7.8%) and secondary (7.4%) education, poorer wealth (0.86%) were the positive and having media exposure (-6.32%) and being unmarried (-5.89%), having more than four children (-2.1%) were the negative factors contributing to the difference in high fertility preferences due to the change in coefficients across residents. On the other hand, there was a pro-poor distribution for high fertility preferences across wealth categories with Erreygers normalized concentration index of ECI = -0.14, SE = 0.012. Having media exposure (17.5%), primary (7.3%), secondary (5.4%), higher (2.4%) education, being unmarried (8%), having more than four children (7.4%), rural residence (3%) and emerging (2.2%) were the positive and city administration (-0.55) was the negative significant contributor to the pro-poor disparity in high fertility preference.

CONCLUSION

The variations in high fertility preferences between rural and urban women were mainly attributed to changes in women's behavior. In addition, substantial variations in fertility preference across women's residences were explained by the change in women's population composition. In addition, a pro-poor distribution of high fertility preference was observed among respondents. As such, the pro-poor high fertility preference was elastic for a percent change in socioeconomic variables. The pro-poor high fertility preference was elastic (changeable) for a percent change in each socioeconomic variables. Therefore, women's empowerment through education and access to media will be important in limiting women's desire for more children in Ethiopia. Therefore, policymakers should focus on improving the contributing factors for the residential and wealth-related disparities in high fertility preferences.

Machine learning to predict unintended pregnancy among reproductive-age women in Ethiopia: evidence from EDHS 2016

BACKGROUND

An unintended pregnancy is a pregnancy that is either unwanted or mistimed, such as when it occurs earlier than desired. It is one of the most important issues the public health system is currently facing, and it comes at a significant cost to society both economically and socially. The burden of an undesired pregnancy still weighs heavily on Ethiopia. The purpose of this study was to assess the effectiveness of machine learning algorithms in predicting unintended pregnancy in Ethiopia and to identify the key predictors.

METHOD

Machine learning techniques were used in the study to analyze secondary data from the 2016 Ethiopian Demographic and Health Survey. To predict and identify significant determinants of unintended pregnancy using Python software, six machine-learning algorithms were applied to a total sample of 7193 women. The top unplanned pregnancy predictors were chosen using the feature importance technique. The effectiveness of such models was evaluated using sensitivity, specificity, accuracy, and area under the curve.

RESULT

The ExtraTrees classifier was chosen as the top machine learning model after various performance evaluations. The region, the ideal number of children, religion, wealth index, age at first sex, husband education, refusal sex, total births, age at first birth, and mother's educational status are identified as contributing factors in that predict unintended pregnancy.

CONCLUSION

The ExtraTrees machine learning model has a better predictive performance for identifying predictors of unintended pregnancies among the chosen algorithms and could improve with better policy decision-making in this area. Using these important features to help direct appropriate policy can significantly increase the chances of mother survival.

Determinants and geographic distribution of early newborn care in Ethiopia: evidence from the 2019 Ethiopian Mini Demographic Health Survey

Early newborn care provided in the first 2 days of life is critical in reducing neonatal morbidity and mortality. This care can be used to monitor and evaluate the content and quality of neonatal postnatal care. This study aimed to identify determinants and geographic distributions of early newborn care uptake in Ethiopia. We used data from the 2019 Ethiopian Mini Demographic and Health Survey (EMDHS). We conducted a multilevel binary logistic regression model and geographic analysis to identify the determinants of receiving early newborn care. A total of 2105 children were included in the study. Of the included children, 39.6% (95% confidence interval (CI) 38%, 42%) received at least two components of early newborn care services in the first 2 days after birth. Greater odds of receiving early newborn care were experienced by infants to mothers with secondary or above education (adjusted odds ratio (AOR) = 1.72; 95% CI 1.44, 2.18), from households with highest wealth quantiles (AOR = 1.47; 95% CI 1.16, 1.79), with at least one antenatal care contact (AOR = 2.73; 95% CI 1.79, 4.16), with birth at health facility (AOR = 25.63; 95% CI 17.02, 38.60), and those births through cesarean section (AOR = 2.64; 95% CI 1.48, 4.71). Substantial geographic variation was observed in the uptake of early newborn care in Ethiopia. Several individual- and community-level factors were associated with newborn postnatal care. Policymakers should prioritise these areas and the enhancement of postnatal healthcare provisions for mothers with low socioeconomic status.

Spatial distribution and determinants of barriers of health care access among female youths in Ethiopia, a mixed effect and spatial analysis

Access to healthcare services is a fundamental human right for every citizen, and it is the responsibility of the nation to guarantee that these services are acceptable, easily accessible, and timely. Barriers to accessing health services may have a detrimental effect on an individual's physical, and mental health, and overall quality of life. However, access to health care services is a common problem in developing countries. Therefore, this study aimed to investigate spatial distribution and determinants of barriers to healthcare access among female youths in Ethiopia. Secondary data analysis was conducted based on the Demographic and Health Surveys data conducted in Ethiopia. A total weighted sample of 6143 female youths aged 15-24 years old was included in this study. A mixed-effect analysis was employed to identify factors contributing to barriers to healthcare access among youths in Ethiopia. Adjusted Odds Ratio with 95% CI was used to declare the strength and significance of the association. The concentration index was used to assess wealth-related inequalities, while spatial analysis was used to explore the spatial distribution and significant windows of barriers to healthcare access. This study revealed that the magnitude of barriers to healthcare access among female youth was 61.3% with 95%CI (60.1 to 62.5) to at least one or more of the four reasons. Age 15-19 years old (AOR = 0.80, 95%CI 0.68 to 0.95), no formal education (AOR = 2.26, CI 1.61, 3.18), primary education (AOR = 2.21, CI 1.66, 2.95), marital status (AOR = 1.43, 95% CI 1.21, 1.70), poor household wealth (AOR = 1.63, 95% CI 1.31, 2.05), no Media exposure (AOR = 1.67, 95%CI 1.41-1.98), reside in rural areas (AOR = 1.63, 95%CI 1.05 to 2.54), and low community media exposure (AOR = 1.45, 95%CI 1.01-2.08) were significantly associated with barriers of health care service. Barriers to healthcare access were significantly and disproportionately concentrated in poor households. A non-random Barrier to healthcare access was observed in Ethiopia. Among the 9 regions, primary clusters were identified in only 4 regions (North Ormiya, Benishangul Gumuz, Gambella, and South Nation Nationality and Peoples regions. A significant proportion of female youths faced barriers to health care access Age, educational status, marital status, rural residency, low economic status, and media exposure were factors associated with barriers to health care access. Therefore, program planners and decision-makers should work on improving the country's economy to a higher economic level to improve the wealth status of the population, promote media exposure, and increase access to education.

Spatial patterns and predictors of unintended pregnancy among reproductive age women in Ethiopia

INTRODUCTION

Unintended pregnancy is amajor sexual and reproductive health problem that imposes substantial health, economical and psychosocial costs to individuals and society as well as significant emotional distress to women, families, and society. The main aim of this study was to investigate the spatial distribution and predictors of unintended pregnancy in Ethiopian regions and administrative zones.

METHODS

This study was conducted based on data from 2016 Ethiopian Demographic and Health Survey. The prevalence of unintended pregnancy across regions and or zones was assessed using spatial analysis, and the effect of different factors on unintended pregnancy in Ethiopia was investigated using a generalized linear mixed model with a multistage clustered sampling strategy. The crude and best linear unbiased predictor estimations of zones were integrated with the shape file data to demonstrate the performance of each zone on maps.

RESULTS

The prevalence of unintended pregnancy for reproductive women in Ethiopia was29.49%. The highest rates of unintended pregnancy were recorded in the North Gondar zone of the Amhara region and the Jima zone in the Oromiya region. The mixed effects model revealed that age [AOR = 0.78, 95% CI, 0.62-0.97], residence [AOR = 2.62, 95%CI, 1.94, 7.27], marital status [AOR = 0.05, 95%CI, 0.01-0.38], women education [AOR = 1.34, 95%CI, 0.75-2.39], smoking cigarettes [AOR = 3.67, 95CI, 1.17-11.56], and poorer wealth index [AOR = 1.89, 95% CI, 1.51-2.31] were significantly associated with unintended pregnancy.

CONCLUSION

In Ethiopia, unintended pregnancy is a public health issue, and prevention stratagem for unintended pregnancy among reproductive women need to be focused based on the identified predictors. The spatial distribution of unintended pregnancy varied greatly at zonal and regional levels in Ethiopia. Hence, we recommended that, creating awareness of sexual and reproductive health with special priority to the identified hotspot areas (Amhara, Oromiya and SNN regions) to reduce unintended pregnancy. Emphasis on fertility and contraceptive techniques should be given to couples by health professionals.

Magnitude of unintended pregnancy and its determinants among childbearing age women in low and middle-income countries: evidence from 61 low and middle income countries

Background

Unintended pregnancy is one of the most serious health issues in low and Middle-Income Countries (LMICs), posing significant health, economic, and psychosocial costs to individuals and communities. However, there is limited evidence on the prevalence of unintended pregnancies and their determinants in LMICs. Hence, this study aimed to assess the prevalence of unintended pregnancy and its associated factors among childbearing-age women in LMICs.

Method

Data for the study were drawn from a recent 61 Demographic and Health Surveys (DHS) conducted in LMICs. A total sample of 187,347 mothers who gave birth in the five years preceding the survey was included. STATA version 16 was used to clean and analyze the data. Multilevel multivariable logistic regression was employed to identify individual and community-level factors of unintended pregnancy in LMICs. In the multivariable analysis, an adjusted odds ratio with a 95% confidence level was reported to indicate statistical association.

Results

The pooled magnitude of unintended pregnancy in LMICs was 26.46%% (95% CI: 25.30%, 27.62%), ranging from 19.25%% in Egypt to 61.71% in Bolivia. Working status (AOR =  1.03; 95% CI: 1.01, 1.06), having a husband with no education (AOR = 1.07; 95% CI: 1.00, 1.15), and primary education (AOR =  1.05; 95% CI: 1.01, 1.11), women from male-headed households (AOR = 1.04; 95% CI: 1.00, 1.08), media exposure (AOR = 1.05; 95% CI: 1.02, 1.08), unmet need for contraception (AOR = 1.05; 95% CI: 1.02, 1.08), distance from a health facility (AOR = 1.03; 95% CI: 1.00, 1.06) were significantly associated with unintended pregnancy.

Conclusion

Unintended pregnancy rates remain high in LMICs. Women whose husband has no education and primary education, women with media exposure, working status, women who live in a household headed by male, women with unmet need for contraception, and women with a big problem of distance to health facilities were variables that were significant predictors of unintended pregnancy. When attempting to minimize unintended pregnancy in LMICs, these factors need to be considered. Furthermore, most of these attempts should be driven by government entities in low and middle-income countries.

Exploring spatial variations and the individual and contextual factors of uptake of measles-containing second dose vaccine among children aged 24 to 35 months in Ethiopia

BACKGROUND

To eliminate measles, which is a devastating contagious disease, Ethiopia introduced the measles-containing second dose vaccine (MCV2) that will be given in the second year of life. Despite its paramount benefit, the coverage was low worldwide and, in Ethiopia, there is scarce evidence on the geographic variations and factors associated with uptake of MCV2.

OBJECTIVE

This study aimed to explore the spatial variations and the individual and contextual factors of uptake of measles-containing second dose vaccine among children aged 24 to 35 months in Ethiopia.

METHODS

We used the 2019 Ethiopian Mini Demographic and Health Survey data. A total weighted sample of 800 children aged 24 to 35 months was used. Multilevel analysis was employed and an adjusted odds ratio (AOR) with a 95% confidence interval (CI) was reported. Factors with a p-value<0.05 in the multivariable analysis were declared to be significant predictors of MCV2 uptake. To explore the spatial variations of MCV2 uptake, we have conducted spatial analysis using both Arc GIS version 10.7 and SaTScan version 9.6 software.

RESULTS

The proportion of MCV2 uptake was 9.84% (95% CI: 7.96%, 12.11%). Children whose mothers were aged 20-34 years (AOR = 0.19; 95%CI: 0.05, 0.69) and 35-49 years (AOR = 0.21; 95%CI: 0.04, 0.90), being the 4th-5th child (AOR = 4.02; 95%CI: 1.45, 11.14) and 6th and above child (AOR = 4.12; 95%CI: 1.42, 13.05) and children who did not receive full childhood vaccinations (AOR = 0.44; 95%CI: 0.25, 0.77) were significantly associated with MCV2 uptake. Besides, MCV2 uptake was clustered in Ethiopia (Global Moran's I = 0.074, p-value <0.01). The primary cluster spatial window was detected in the Benishangul-Gumuz region with LLR = 10.05 and p = 0.011.

CONCLUSION

The uptake of MCV2 in Ethiopia was low. Maternal age, birth order, and uptake of the other basic vaccines were associated with MCV2 uptake. Besides, MCV2 uptake was clustered in Ethiopia and the primary cluster spatial window was located in the Benishangul-Gumuz region. Therefore, special concern should be given to regions with lower MCV2 uptake such as the Benishangul-Gumuz region. Besides, it is better to give attention to basic vaccination programs.

Multilevel modeling of unintended current pregnancy: In the case of Ethiopian Demographic and Health Survey, 2016

Background

Unintended pregnancy has been a major public health and reproductive health issue imposing a great adverse consequence on the mother and child. However, estimates of unintended pregnancy through the appropriate model are lacking. This study is aimed at modeling and assessing the extent of variation and factors associated with unintended pregnancy among women in Ethiopia.

Methods

A cross-sectional study was conducted based on 2016 Ethiopian Demographic and Health Survey data related to the reproductive health of 1122 currently pregnant women and a multilevel modeling approach was used.

Results

The proportion of unintended current pregnancies was 20.1%. According to random intercept with a fixed slope model, women who had 1 to 3 living children and those who had 4 and above were more likely to be unintended (OR = 3.54, 95% CI: 1.985-6.332) and (OR = 5.47, 95% CI: 2.67-11.227), respectively, compared to women with no living children. Also, married women were less likely to be unintended (OR = 0.14, 95% CI: 0.065-0.304) compared to unmarried women. In addition, women having work were more likely to be unintended (OR = 1.56, 95% CI: 1.079-2.255). Furthermore, women who intend to use contraceptive methods were less likely to be unintended (OR = 0.54, 95% CI: 0.362-0.796) compared to women who do not intend.

Conclusion

The number of living children, current marital status, the intention of contraceptive use, and respondents' working status were found to have a significant effect. Giving attention to regional variations and intention of contraceptive use is important to reduce unintended current pregnancies in Ethiopia.

Association between unintended pregnancy and maternal antenatal care services use in Ethiopia: analysis of Ethiopian demographic and health survey 2016

Introduction

Unintended pregnancy disproportionately affects women in low and middle-income countries including Ethiopia. Previous studies identified the magnitude and negative health outcomes of unintended pregnancy. However, studies that examined the relationship between antenatal care (ANC) utilization and unintended pregnancy are scarce.

Objective

This study aimed to examine the relationship between unintended pregnancy and ANC utilization in Ethiopia.

Methods

This is a cross-sectional study conducted using the fourth and most recent Ethiopian Demographic Health Survey (EDHS) data. The study comprised a weighted sample of 7,271 women with last alive birth and responded to questions on unintended pregnancy and ANC use. The association between unintended pregnancy and ANC uptake was determined using multilevel logistic regression models adjusted for possible confounders. Finally p < 5% was considered significant.

Results

Unintended pregnancy accounted for nearly a quarter of all pregnancies (26.5%). After adjusting for confounders, a 33% (AOR: 0.67; 95% CI, 0.57-0.79) lower odds of at least one ANC uptake and a 17% (AOR: 0.83; 95% CI, 0.70-0.99) lower odds of early ANC booking were found among women who had unintended pregnancy compared to women with intended pregnancy. However, this study founds no association (AOR: 0.88; 95% CI, 0.74, 1.04) between unintended pregnancy and four or more ANC visits.

Conclusion

Our study found that having unintended pregnancy was associated with a 17 and 33% reduction in early initiation and use of ANC services, respectively. Policies and programs designed to intervene against barriers to early initiation and use of ANC should consider unintended pregnancy.

Individual and community-level determinants of knowledge of ovulatory cycle among women of reproductive age in 29 African countries: a multilevel analysis

Background

Knowledge of the ovulatory cycle (KOC) can help reduce the chances of unwanted pregnancies and may improve a woman’s reproductive health. However, little is known about the factors associated with knowledge of the ovulatory cycle across Africa. Therefore, we aimed to investigate the individual/household and community level determinants of KOC among women of childbearing age in 29 African countries.

Methods

We used data from the Demographic and Health Surveys of 29 African countries conducted between 2010 and 2020. Bivariate and multivariate multilevel logistic regressions were used to examine the association between women’s correct knowledge of the ovulatory cycle and individual/household and community-level factors. The results were reported using adjusted odds ratios (AOR) with a 95% confidence interval (CI).

Results

The pooled results showed that correct KOC among women was 15.5% (95% CI 14.2–17.0%), varying from 11.5% in Liberia to 57.1% in the Democratic Republic of Congo. Regarding regional distribution, the highest prevalence of KOC was observed in West Africa (38.8%) followed by East Africa (21.3%) and was lowest in Southern Africa (15.6%) and Central Africa (15.5%). After adjusting for potential confounders, at the individual level, we found the odds of KOC to be higher among older women (40–44 years-aOR 3.57, 95% CI 1.90–6.67, 45–49 years-aOR 2.49, 95% CI 1.29–4.82), and women with higher educational level (aOR 2.58, 95% CI 1.40–4.75); at the community level, higher KOC was among women exposed to media (aOR 2.24, 95% CI 1.32–3.81).

Conclusions

Knowledge of ovulatory cycle among women of reproductive age was found to be low in the region and varied by country. Women’s age and educational level were the individual-level factors associated with increased knowledge of ovulatory cycle while community-level media exposure was found to be associated with increased knowledge of ovulatory cycle in this study. This finding highlights the need for appropriate strategies (possibly use of mass media) to increase knowledge of ovulatory cycle among women of reproductive age, especially among adolescents in Africa.

Influences of parental monitoring and school connectedness on age at first sexual debut among unmarried female youth in Bedele town, Ethiopia: A survival analysis of timing using accelerated failure time model

Background

The age of first sexual debut among youth continues to attract interest as it marks the start of their exposure to a variety of sexual and reproductive health problems. Parental monitoring (PM) and school connectedness (SC) has been found to have an effect on this problem. Despite this fact, there is a dearth of literature on implications of PM and SC on age at first sexual debut in Ethiopia. Therefore, this paper examined the influences of PM and SC age at first sexual debut among female youth.

Methods

A retrospective follow-up study was conducted on 470 randomly selected female youth in Bedele town, Oromia regional state, southwest Ethiopia from February 1 to March 30, 2021. The age at first sexual debut was asked in full years for respondents who ever engaged in sexual debut at a time of data collection. Data were entered using Epi-Data version 4.6 and analyzed using Stata version 14. All variables at P-values less than 0.2 in bivariable analysis were exported to multivariable analysis. Multivariable Accelerated Failure Time (AFT) regression analyses using Weibull distribution were used to examine the association of age at first sexual debut with PM and SC at 5% level of significance.

Results

Overall, 132(28.1%) youths were begun sexual activities of which 79.54% was an early (vaginal penetrative sex before 18 years old). The incidence rate was 15.58/1000 PY with 95% CI of [13.14, 18.47]. The result shows that, female youth start first sexual debut as early as 10 year and mean age was 16.89±2.82. Only 27.97% of those who began sexual debut used contraception during first sex. Multivariable Weibull AFT regression analyses adjusted for different variables showed that high PM (Adjusted Time Ratio (ATR) 1.13: 95%CI; [1.04, 1.21]) and good SC (ATR: 1.14: 95% CI; [1.06, 1.22] significantly delays the age at first sexual debut.

Conclusions

Overall, four out of every five premarital sexual activities were early sexual debuts. High PM and high SC significantly decrease early sexual debut by delaying the age of sexual initiation. Therefore, family and school involvement focused on PM and SC of the youth is recommended as an important mechanism for preventing youths’ risky sexual behaviour, including early sexual debut.

Trend, multivariate decomposition and spatial variations of unintended pregnancy among reproductive-age women in Ethiopia: evidence from demographic and health surveys

Background

The magnitude of unintended pregnancy is unacceptably high and more than half of it end up with abortions. This may limit lower and middle-income countries to achieve the sustainable development goal targets of reduction of neonatal and maternal mortalities. Evidence on trends and spatial distribution of unintended pregnancy is limited. Therefore, this study aimed to assess the trend, multivariate decomposition, and spatial variations of unintended pregnancy among reproductive-age women in Ethiopia from 2000 to 2016.

Methods

Ethiopian Demographic and Health Data of 2000 to 2016 were used. A total weighted sample of 30,780 reproductive-age women participated. A multivariate decomposition analysis was employed to identify factors contributing to the change in the rate of unintended pregnancy in Ethiopia for 20 years from (1996 to 2016). The concentration index and graph were used to assess wealth-related inequalities, whereas spatial analysis was done to identify the hotspot of unintended pregnancy in Ethiopia.

Results

The 20-year trend analysis showed that the magnitude of unintended pregnancy among reproductive-age women decreased by 13.19 percentage points (from 39.76% in 2000 to 26.57% in 2016 EDHS). About 84.97% of the overall decrement was due to the difference in coefficient of the variables, whereas the remaining 15.03% was due to the difference in composition of the respondent. The differences in coefficient of the variables were decomposed by living metropolitan cities, having previous terminated pregnancy, and not having exposure to media; whereas, the change due to the composition, was expressed by having a household size of 1–3, living in metropolitan cities, being multipara and grand para, being unmarried and having no terminated pregnancy. Moreover, unintended pregnancies were more clustered in Addis Ababa and disproportionately concentrated in the poor groups.

Conclusions

In Ethiopia, a substantial decrement in unintended pregnancy was observed in the past decade. More than four-fifths of this overall decrement was due to the difference in the coefficient of the variables. There was spatial clustering of unintended pregnancy in Ethiopia. A program intervention is needed for high-risk regions such as Addis Ababa. Health education and media campaign should perform for high-risk women such as those having terminated pregnancy, and professing Islam faith.

Supplementary Information

The online version contains supplementary material available at 10.1186/s41182-022-00440-5.

Evaluation of the Amharic version of the London measure of unplanned pregnancy in Ethiopia

Background

Unplanned pregnancy is an important public health problem in both the developing and developed world, as it may cause adverse social and health outcomes for mothers, children, and families as a whole. London Measure of Unplanned Pregnancy (LMUP) has been formally and informally validated in multiple and diverse settings. However, there is a dearth of literature on the validation of LMUP in Ethiopia either in the Amharic version or other languages.

Objective

The general objective of this study was to translate the LMUP into Amharic and evaluate its psychometric properties in a sample of Amharic-speaking women receiving antenatal care (ANC) service at public health facilities in Arbaminch and Birbir towns.

Methods

A cross-sectional study design was used for the study. Forward and backward translation of original English LMUP to Amharic was done. A cognitive interview using a pretested structured questionnaire was used to collect the data from respondents. The collected data was analyzed using SPSS version 25. Reliability was assessed using Cronbach’s alpha, inter-item correlations, and corrected item-total correlations while construct validity was assessed using principal components analysis and hypothesis testing.

Results

Data was collected from 320 women attending antennal care services at selected public health care facilities. LMUP range of 1to 11 was captured. The prevalence of unplanned pregnancies was 19(5.9%), while 136(42.5 were ambivalent and 165(51.6%) were planned pregnancies. The reliability testing demonstrated acceptable internal consistency (Cronbach’s alpha = 0.799) and the validity testing confirmed the unidimensional structure of the scale. In addition, all hypotheses were confirmed.

Conclusions

Amharic version of LMUP is a valid and reliable tool to measure pregnancy intention so that it can be used by Amharic speaking population in Ethiopia. It can also be used in research studies among Amharic-speaking women to measure unplanned pregnancy.

Spatiotemporal distribution and determinants of open defecation among households in Ethiopia: A Mixed effect and spatial analysis

Background

Open defecation is the disposal of human faeces in the fields, forests, bushes, and open bodies of water. It is practiced more in sub-Saharan African countries and is considered a sign of underdevelopment. Open defecation facilitates the transmission of pathogens that cause diarrheal diseases which is the second leading contributor to the global burden of disease. In Ethiopia, it kills half a million under-five children annually. Even though open defecation practice is a major cause of childhood mortality and morbidity in Ethiopia, there is minimal evidence on the trend, spatiotemporal distribution, wealth-related inequalities, and other determinates of open defecation practice.

Objectives

Therefore, this study aimed to investigate the trend, spatiotemporal distribution, and determinants of open defecation among households in Ethiopia.

Methods

Cross-sectionally collected secondary data analysis was conducted based on 2016 Ethiopian Demographic and Health Survey (EDHS). A total weighted sample of 16,554 households was included. We assessed the 16 years (2000–2016) trend of open defecation with 95% confidence intervals. Data were weighted, recoded, cleaned, and analyzed using STATA version 14.2 software. A mixed-effect analysis was employed to identify factors contributing to open defecation practice in Ethiopia. In the final multivariable analysis, the associations between dependent and independent variables were presented using adjusted odds ratios and 95% confidence intervals with a p-value of <0.05. The concentration index was used to assess wealth-related inequalities, while spatial analysis was used to explore the spatial distribution and significant windows of open defecation practice.

Results

The trend of open defecation practice in Ethiopia was significantly decreased from 81.96% (95% CI: 81.08, 82.8) in 2000 EDHS, to 32.23% (95% CI: 31.16, 33.31) in 2016 EDHS. Individual-level factors such as; age, educational attainment, marital status, media exposure, wealth status, and source of drinking water, as well as community-level factors such as residence, region, community-level poverty, and community level media usage, had a significant association. Open defecation practice was significantly and disproportionately concentrated on the poor households [C = -0.669; 95% CI: -0.716, -0.622]. A non-random open defecation practice was observed in Ethiopia. Among the 11 regions, primary clusters were identified in only 3 regions (Afar, Somali, and Eastern Amhara)

Conclusion

Open defecation practice remains a public health problem irrespective of the significant decrease seen in Ethiopia for the past 16 years. Individual and community-level factors had a significant association with this problem. Since it is a leading cause of under-five children mortality and morbidity, the Ethiopian ministry of health should plan and work on basic sanitation programs that focus on the poorest communities, rural societies, and small peripheral regions. These programs should include regional planning for sanitation, and translation of materials into local languages to prevent under-five mortality and morbidity due to diarrheal diseases caused by open defecation.

Time to Resumption of Menses, Spatial Distribution, and Predictors Among Post-partum Period Women in Ethiopia, Evidence From Ethiopian Demographic and Health Survey 2016 Data: Gompertz Inverse Gaussian Shared Frailty Model

Background

The timing of the resumption of post-partum menses is important for a woman who intends to avoid subsequent unintended pregnancy, and it has key implications on maternal, neonatal, and child health outcomes. Despite this, information is scant about the time to resumption of post-partum menses and predictors in Ethiopia. Therefore, this study aimed to determine the time it takes to start menses and spatial distribution among post-partum period women in Ethiopia and identify its predictors.

Methods

A secondary data analysis was conducted based on 2016 Ethiopian Demographic and Health Survey (EDHS). A total weighted sample of 6,489 post-partum women was included in the analysis. STATA 14 was used to weigh, clean, and analyze the data. The shared frailty model was applied since the EDHS data have a hierarchical nature. For checking the proportional hazard assumption, the Schenefold residual test, Log-Log plot, Kaplan–Meier, and predicted survival plot were applied. Akakie Information Criteria (AIC), Cox–Snell residual test, and deviance were used for checking model adequacy and for model comparison. Based on these, the Gompertz inverse Gaussian shared frailty model was the best-fitted model for this data. Variables with a p &lt; 0.2 were considered for the multivariable Gompertz inverse Gaussian shared frailty model. Finally, the adjusted hazard ratio (AHR) with a 95% confidence interval (CI), and a p &lt; 0.05 was reported to identify the significant predictors of time to the resumption of post-partum menses.

Results

The median survival time to post-partum menses resumption was 14.6 months. In this study, 51.90% [95% CI: 50.03, 53.76] of post-partum period women had resumed, and the risk of menses resumption was 1.17 times [AHR: 1.17; 95% CI: 1.03–1.33] higher among urban resident, 1.14 times [AHR: 1.14; 95% CI: 1.0–1.24] in women who had attended formal education, and 1.63 times [AHR: 1.63; 95% CI: 1.4–1.7] higher among women who used hormonal contraceptives. However, the risk of post-partum menses resumption was lower among 7–24 months breastfeeding women by 36% [AHR: 0.64; 95% CI: 0.5–0.76], women with child alive by 26% [AHR: 0.74; 95% CI: 0.6–0.85], and multiparous women by 27% [AHR: 0.73; 95% CI: 0.6–0.80].

Conclusion

Almost half of the participants had resumed post-partum menses, with the median survival timing of menses resumption at 14.5 months. Women residing in urban areas, who attended formal education, and using hormonal contraceptives have a shorter time to resume post-partum menses, whereas a woman with an alive child, breastfeeding practice, and multiple parity has a longer time to resume post-partum menses. Therefore, the healthcare providers and program managers should act on the resumption of post-partum menses through health education and promotion to cultivate the 14 months lag period identified by considering the significant factors.

Does family planning counselling during health service contact improve postpartum modern contraceptive uptake in Ethiopia? A nationwide cross-sectional study

OBJECTIVE

This study examined the association between family planning counselling receipt during the 12 months preceding the survey and postpartum modern contraceptive uptake in Ethiopia. We hypothesised that receiving family planning counselling either within the community setting by a field health worker or at a health facility by a healthcare attendant during the 12 months preceding the survey improves postpartum modern contraceptive uptake.

DESIGN

We used a cross-sectional study of the Ethiopian Demographic and Health Survey conducted in 2016.

SETTING

Ethiopia.

PARTICIPANTS

A total of 1650 women who gave birth during the 12 months and had contact with service delivery points during the 12 months preceding the survey.

PRIMARY OUTCOME

A weighted modified Poisson regression model was used to estimate an adjusted relative risk (RR) of postpartum modern contraceptives.

RESULTS

Approximately half (48%) of the women have missed the opportunity to receive family planning counselling at the health service contact points during the 12 months preceding the survey. The postpartum modern contraceptive uptake was 27%. Two hundred forty-two (30%) and 204 (24%) of the counselled and not counselled women used postpartum modern contraceptive methods, respectively. Compared with women who did not receive counselling for family planning, women who received counselling had higher contraceptive uptake (RR 1.32, 95% CI 1.04 to 1.67).

CONCLUSION

Significant numbers of women have missed the opportunity of receiving family planning counselling during contact with health service delivery points. Modern contraceptive uptake among postpartum women was low in Ethiopia. Despite this, our findings revealed that family planning counselling was associated with improved postpartum modern contraceptive uptake.

Community and individual level determinants and spatial distribution of deworming among preschool age children in Ethiopia: spatial and multi-level analysis

Background

Soil-transmitted helminths caused millions of morbidity of preschool age children in sub-Saharan Africa with low socio-economic status and lack of clean water and sanitation. In Ethiopia, nearly half of children are affected by intestinal parasites. Despite this prevalence, deworming medication utilization among preschool age children is low. Hence, this study aimed to assess the community and individual level determinants and spatial distributions of deworming among preschool age children in Ethiopia.

Methods

Crossectional collected 2016 Ethiopian Demographic and Health Survey datasets with a total weighted 8146 children 12–59 months old were used for this study. The data were cleaned, extracted, and analyzed using STAT Version 16 software and exported to MS excel for spatial analysis. In addition, ArcGIS and SaTScan software were used to detect the geographic distribution of deworming utilization among preschool age children.

Results

The magnitude of deworming among preschool age children in Ethiopia was 13.32% (95% CI: 12.60, 14.08) and ranges from the lowest 3.34% (95% CI: 1.01, 10.45) Afar region to the highest 28.66% (95% CI:24.95, 32.69) Tigray region. In multilevel multivariable logistics regression analysis; variables such as secondary and above women education [AOR = 1.89; 95%CI; 1.32, 2.73], women who have occupation [AOR = 1.47; 95%CI; 1.23, 1.76], child with 12–23 months old [AOR = 2.00; 95%CI; 1.62, 2.46], having ANC visit [AOR = 1.68; 95%CI; 1.35, 2.08], households that have media exposure [AOR = 1.50; 95%CI; 1.22, 1.85] were significantly associated with deworming among preschool age children. Afar, Eastern Amhara, Dire Dewa, Harari, Somalia, and Eastern SNNPE regions were cold spot regions with Global Moran’s I value 0.268 (p < 0.0001) for deworming of preschool age children.

Conclusions

The prevalence of deworming among preschool age children in Ethiopia is relatively low. Individual-level factors such as; maternal education and occupation, having ANC visit, child age, household media exposure, and community-level variables such as; community media usage had a significant association with deworming among preschool age children in Ethiopia. These findings highlight that, the Ministry of Health (MOH) Ethiopia should prepare a regular campaign for deworming programs for preschool age children. Mass media promotion of deworming should be strengthened. The Ministry of Education should work to strengthen women’s education, household and community media exposure. Prior attention should be given to low deworming regions such as Afar, Somalia, Diredewa, and Harari regions.

Spatial distribution and determinants of bottle feeding among children 0-23 months in Ethiopia: spatial and multi-level analysis based on 2016 EDHS

Background

Bottle feeding is associated with diarrheal disease morbidity and mortality and risk of pyloric stenosis, especially in developing countries. Even though, World Health Organization (WHO) recommended avoiding bottle feeding among children, still higher magnitude was reported in developing countries. This study aimed to assess the spatial distribution and determinants of bottle feeding among children 0-23 months in Ethiopia.

Methods

This study was conducted based on Ethiopian Demographic and Health Surveys data (EDHS). The data were weighted using sampling weight for probability sampling and non-response to restore the representativeness of the data and get valid statistical estimates. Then a total of 4,275 weighted samples of under two years children were used to investigate the study. The data were cleaned using MS excel and extracted and analyzed using STATA V.16 software. A multilevel binary logistic regression model was fitted. P-value < 0.05 was taken to declare statistical significance. A spatial analysis was done using ArcGIS and SaTScan software.

Results

The prevalence of bottle feeding practice among under two years children in Ethiopia were 13.5% (95%CI: 11.16, 15.29) and ranges from the lowest 5.16% (95% CI: 3.28, 78.73) Amhara region to the highest 55.98% (95% CI: 47.98, 61.46) Addis Ababa region. Women with secondary and above education status [AOR=2.49; 95%CI; 1.66, 3.74], women from richest household [AOR=1.33; 95%CI; 1.01, 1.78], child 12-23 months age [AOR= 1.59; 95%CI; 1.23, 2.05], multiple birth [AOR=4.30; 95%CI; 1.88, 9.84], rural residence [AOR=0.49; 95%CI; 0.16, 0.82] and large central region [AOR= 0.15; 95%CI; 0.08, 0.27] have significantly associated with bottle feeding. Addis Ababa, Central Oromia, Dire Dewa, Somali and Harari regions were the hot spot areas for bottle feeding practice among under two years children.

Conclusion and recommendations

The prevalence of bottle feeding practices in Ethiopia is relatively moderate. Maternal education, wealth index, child age, multiple births, residence and region were significant predictors of bottle feeding. These findings highlight that, the Ministry of Health Ethiopia (MOH), policymakers, and other stakeholders had better give prior attention to preventable factors such as empowering women, enhancing household wealth status to decreasing bottle feeding practice in Ethiopia.

Unintended pregnancy and associated factors during COVID-19 pandemic in Ethiopia: Community-based cross-sectional study

Introduction:

The term ‘unintended pregnancy’ refers to a pregnancy that occurred when no children were desired or occurred earlier than desired. Unintended births account for one out of every three births in Ethiopia, and they are the leading cause of maternal morbidity and mortality. During the coronavirus disease (COVID-19) pandemic, this could be useful. COVID-19 has a significant impact on maternal health care utilization, including family planning services. As a result, this study aimed to assess unintended pregnancy and associated factors in Ethiopia during the COVID-19 pandemic.

Method:

A community-based cross-sectional study was conducted in Gedeo zone, Ethiopia, from April 1 to May 30, 2021. A simple random sampling technique was utilized to get 383 pregnant women from their respective kebeles. A structured questionnaire was used to collect data during a face-to-face interview. The data were coded, cleaned, and entered into Epidemiological Data Version 3.1 before being exported to the Statistical Package for Social Science Version 23.0 for analysis. A bivariate and multivariable logistic regression model was used to identify statistically significant associations between dependent and independent variables. The odds ratio, with a 95% confidence interval and a P value of 0.05%, was considered statistically significant.

Result:

A total of 383 pregnant women participated in the study, giving a response rate of 90.8%. During the COVID-19 pandemic, 140 (36.6%) participants stated that their current pregnancy was unintended. Unintended pregnancy was significantly associated with respondents’ age (adjusted odds ratio (AOR) = 5.214 (1.449–18.762)), primary decision maker for family planning services (AOR = 9.510 (5.057–17.887)), and fear of COVID-19 to visit a health care facility (AOR = 7.061 (2.665–18.710)).

Conclusion:

During the COVID-19 era, more than one-third of women had unintended pregnancies. Unintended pregnancy was significantly associated with respondents’ age, autonomy to use contraceptive methods, and fear of COVID-19, which required them to attend a health care institution.

Prevalence and determinants of unintended pregnancy in Ethiopia: narrative synthesis and meta-analysis

BACKGROUND

Unintended pregnancy has enormous health, social and psychological impacts. Thus, comprehensive local evidence is required to guide interventions to prevent the occurrence and consequences of unintended pregnancy. This systematic review was conducted to examine the prevalence and determinants of unintended pregnancy in Ethiopia.

METHODS

The review was done following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) and Synthesis Without Meta-analysis (SWiM) guideline. Electronic databases including Medline/PubMed, Cochrane Library, CINAHL, Google scholar, and African journal online were searched to retrieve studies published from January 1/1990 to October 30/2020. Grey literatures were accessed from the online libraries of academic institutions in Ethiopia using the Google search engine. The qualities of the studies were assessed using Joanna Briggs Institute critical appraisal checklists. The retrieved studies were analyzed using STATA software version 13. The prevalence of unintended pregnancy was pooled using the random-effects model. The evidences on the determinants of unintended pregnancy were summarized in a narrative format. The statistical heterogeneity between studies was quantified by using the I-square values. Sub-group analysis and meta-regressions were done to identify the sources of heterogeneity among studies.

RESULTS

A total of 250 studies were retrieved of which 25 studies with 23,030 women were included for meta-analysis. Only 24 studies scrutinized the determinants of unintended pregnancy. The overall prevalence of unintended pregnancy was 30 % (95% CI; 27-33 %) with high heterogeneity among studies (I2 = 95.06 %). The pooled prevalence of unwanted and mistimed pregnancy was 12 &17% respectively. The study region was the source of heterogeneity whereas study setting, study year, sample size, and study quality score were not the sources of heterogeneity (p > 0.1). Unintended pregnancy was positively associated with a low level of education, poverty, multiparity, rural residence, extreme ages, being unmarried, lack of decision-making power, inaccessibility of health facilities, poor knowledge, and non-use of contraceptives.

CONCLUSIONS

The pooled prevalence of unintended pregnancy in Ethiopia was high. Empowering women and ensuring the accessibility of quality family planning services can reduce the prevailing high prevalence of unintended pregnancy. Interventions that target rural, poor, unmarried, multiparous, less-educated, and adolescent women are also important to avert untended pregnancy in Ethiopia.

Burden of pelvic girdle pain during pregnancy among women attending ante-natal clinic, Ethiopia:a cross-sectional study

Background

Pelvic girdle pain (PGP) is a commonly reported maternal morbidity that negatively impacts the well-being of women during pregnancy and extends long term into the post-partum period. The burden of maternal morbidity; including pregnancy-related PGP; has been overlooked in Ethiopia to date. This study aimed to determine the prevalence and identify factors associated with pelvic girdle pain during pregnancy in North West Ethiopia.

Methods

A hospital-based cross-sectional study was conducted among pregnant women visiting the antenatal care clinic in Obstetrics ‘outpatient department at the University of Gondar comprehensive specialized hospital in Gondar. Data were collected by interview method using structured questionnaires, patient medical record reviews, and physical measurements. Univariate and multivariable logistic regression model analyses were used to identify factors associated with PGP.

Results

A total of 424 participants with gestational ages ranging from 6 to 39 weeks participated in this study. The age of the study participants ranged from 18 to 44 years with a mean age of (27 ± 4.6 years). The overall cumulative prevalence of pelvic girdle pain among pregnant women was 103 (24.3%),95% CI (20.3, 28.8). The major associated factors with pelvic girdle pain were previous history of pelvic girdle pain (AOR 16.08; 95% CI, 8.47–30.51), previous history of back pain (AOR 1.66; 95% CI, 1.5–4.24) and having children (AOR 1.42; 95% CI, 1.29–3.76).

Conclusion

One-quarter of pregnant Ethiopian women reported pelvic girdle pain. PGP must be considered as major pregnancy-related morbidity, and progress in the intervention of PGP is vital to enhance the quality of life in this population.