Urban-rural inequalities and spatial arrangement of informed choice of family planning in Ethiopia: Further analysis of 2016 Ethiopian demographic health survey.

BACKGROUND: Ethiopia has made satisfactory progress in improving maternal and child health over the past two decades. The introduction of family planning through informed choice is one of the main strategies to improve maternal and child health. However, this positive progress may have masked the significant urban-rural disparities in informed choice for family planning. OBJECTIVE: To identify factor contributing to observed urban-rural disparities and to determine the spatial distribution of informed family planning choices in Ethiopia. METHODS: The study used information from 3,511 women currently using contraceptives (rural-2685 and urban-826) as per recent Ethiopian demographic health survey cross-sectional data. Spatial and descriptive, bivariable, and multivariable logit-based decomposition analysis methods were used. RESULTS: The spatial configuration of uninformed choice was clustered. The primary cluster (LLR = 34.8, p-value<0.001) was located at the southern portion of Amhara region that covers east & west Gojjam, south Gondar and south Wollo administrative zones. The magnitude of informed choice was 12 percent higher in urban residents compared to rural residents. Urban-rural gap was attributed to variations in characteristics (74%). Place of family planning offer i.e., private health facility, being aged between 35 and 49 years, and having visited to health facility in the last 1 year are found decrease the urban-rural gap of informed family planning choice by 15%, 9% and 5% respectively. Conversely, being aged between 25 and 34 years, being a listener to radio has increased the gap by 9% and 12% respectively. CONCLUSION: The variables being private health facility visitors, being aged between 35 and 49 years and having visited health facilities in the last one year are found to increase the gap of informed family planning choices between urban and rural residents Besides, the spatial distribution of uninformed family planning choices is non-random.

Individual and community level predictors of women's autonomy in health care decision-making among youth in East African countries: a multilevel analysis.

OBJECTIVE: The autonomy of young women in healthcare decision-making has been reported to be lower, particularly in low-income and middle-income countries. This study was conducted to estimate the magnitude and the factors associated with autonomy in healthcare decision-making among youth in East African countries. DESIGN AND SETTING: A population-based, cross-sectional study was conducted with data from the most recent Demographic and Health Surveys conducted in 11 East African countries (Burundi, Ethiopia, Kenya, Comoros, Malawi, Mozambique, Rwanda, Tanzania, Uganda, Zambia, Zimbabwe) conducted from 2011 to 2019. PARTICIPANTS: Weighted sample of 24 135 women aged 15-24 years. PRIMARY OUTCOMES: Healthcare decision-making autonomy. METHODS: A multi-level logistic regression model was used to identify factors associated with women's autonomy in making decisions about their healthcare. Statistical significance was determined using an adjusted OR with 95% CI at a p value less than 0.05. RESULTS: Healthcare decision-making autonomy among youth in East Africa was 68.37% (95% CI 68%, 70%). In a multivariable analysis older aged youths (20-24 years) (adjusted OR (AOR)=1.27; 95% CI 1.19, 1.36), youths having an occupation (AOR=1.34; 95% CI 1.25, 1.53), having employed husband (AOR=1.12 95% CI 1.00, 1.26), exposure to media (AOR=1.18 95% CI 1.08, 1.29), rich wealth index 1.18 (AOR=1.18 95% CI 1.08, 1.29), female household head, youths having secondary and higher education, youths whose husband had secondary and higher education, and country were significant predictors of healthcare decision making autonomy. CONCLUSION: Almost one-third of young women have no autonomy in healthcare decision-making. Older youth, being educated, having an educated husband, having an occupation, having an employed husband, exposure to media, female household head, rich wealth index and country are significant predictors for being autonomous in healthcare decision-making. Public health interventions should target uneducated and unemployed youth, poor families and those without media exposure to increase autonomy in health decisions.

Socioeconomic inequality in modern contraceptive utilization among reproductive-age women in sub-Saharan African countries: a decomposition analysis.

INTRODUCTION: Family planning services allow individuals to achieve desired birth spacing, family size, and contribute to improved health outcomes for infants, children, women, and families, and prevent unintended pregnancy. Births resulting from unintended pregnancies can have negative consequences Children from unintended pregnancies are more likely to experience poor mental and physical health during childhood. Even though many international organizations work to ensure universal access to sexual and reproductive health services, reproductive health service utilization is concentrated among individuals with rich socioeconomic status. Therefore, this study aimed to assess the presence of socioeconomic inequality in modern contraceptive utilization and its contributors in sub-Saharan African countries. METHODS: A total of 466,282 weighted reproductive-aged women samples from DHS data SSA countries were included in the study. Erreygers normalized concentration index and its concentration curve were used to assess socioeconomic-related inequality in modern contraceptive utilization. Decomposition analysis was performed to identify factors contributing to socioeconomic-related inequality. RESULTS: The weighted Erreygers normalized concentration index for modern contraceptive utilization was 0.079 with Standard error = 0.0013 (P value< 0.0001); indicating that There is small amount but statistically significant pro rich distribution of wealth related in equalities of modern contraceptive utilization among reproductive age women. The decomposition analysis revealed that mass media exposure, wealth index., place of residency, and distance of health facility were the major contributors to the pro-rich socioeconomic inequalities in modern contraceptive utilization. CONCLUSION AND RECOMMENDATION: In this study, there is a small amount but statistically significant pro rich distribution of modern contraceptive utilization. Therefore, give priority to modifiable factors such as promoting the accessibility of health facilities, media exposure of the household, and improving their country's economy to a higher economic level to improve the wealth status of the population.

Trends and predictors of change of unmet need for family planning among reproductive age women in Ethiopia, based on Ethiopian demographic and health surveys from 2005-2016: Multivariable decomposition analysis.

BACKGROUND: By spacing births and preventing unintended pregnancies, family planning is a crucial technique strategy for controlling the fast expansion of the human population. It also improves maternal and child health. women who are thought to be sexually active but who do not use modern contraception methods, who either do not want to have any more children (Limiting) or who want to delay having children for at least two years are considered to have an unmet need for family planning (Spacing). OBJECTIVE: This study carried out to determine which socio-demographic factors are the key contributors to the discrepancies in the unmet need for family planning among women of reproductive age between surveys years 2005 and 2016. METHODS: The data for this study arrived from the Ethiopia Demographic Health Surveys in 2005, 2011, and 2016 to investigate trends and Predictors of change of unmet need for family planning among reproductive age women in Ethiopia. Pooled weighted sample of 26,230 (7761 in 2005, 9136 in 2011 and 9,333 in 2016 Ethiopian demographic health surveys) reproductive-age women were used for this study. For the overall trend (2005-2016) multivariable decomposition analysis for non-linear response outcome was calibrated to identify the factors that contributed to the change of unmet need for family planning. The Logit based multivariable decomposition analysis utilizes the output from the logistic regression model to assign the observed change in unmet need for family planning over time into two components. Stata version 16.0 was used to analyze the data. RESULT: The percentage of Ethiopian women of reproductive age who still lack access (unmet need) for family planning declined from 39.6% in 2005 to 23.6 percent in 2016. The decomposition analysis revealed that the change of unmet need for family planning was due to change in characteristics and coefficients. The difference in coefficients accounted for around nine out of 10 variations in unmet family planning need. Education level, birth order, and desired number of children were all factors that changed over the course of the last 11 years in relation to the unmet need for family planning. CONCLUSION: Between 2005 and 2016, there were remarkable changes in unmet need for family planning. Women with birth orders of five and up, women with secondary education, and women who wanted fewer children overall were the main causes of the change in unmet need for family planning.