Magnitude and determinants of women's participation in household decision making among married women in Ethiopia, 2022: Based on Ethiopian demographic and health survey data

INTRODUCTION: Women's strong decision-making abilities are essential to reducing maternal mortality rates. Because women's involvement in decision-making would increase uptake for healthcare services like maternal healthcare, which includes prenatal care (ANC), postnatal care (PNC), and facility delivery. Studies have revealed that women's decision-making autonomy is low, particularly in underdeveloped nations like Ethiopia. Investigating potential factors that may influence women's participation in household decision-making is the primary goal of this study project. METHODS: Secondary data analysis was carried out using data from the 2016 Ethiopian Demographic and Health Survey (EDHS). For the final analysis we used a weighted sample of 10,223 currently married women. All the frequencies and the percentages in the result section are weighted. The model's fitness was assessed using the Hosmer-Lemeshow test. It is the best fit (p value = 0.19). Variables with p values ≤ 0.2 in the bi-variable binary logistic regression analysis were included in the multivariable binary logistic regression analysis. The Adjusted Odds Ratio (AOR) with 95% confidence interval (95% CI) was computed. Variables with a P-value of less than 0.05 in the multi variable binary logistic regression analysis were declared as statistically significant predictors of the outcome variable. RESULT: The overall magnitude of women's participation in decision making among was 70.55% (CI: 69.65, 71.42). Residence (rural; AOR: 0.83, 95% CI: 0.70, 0.980), educational status (None educated; AOR: 0.43, 95% CI: 0.30, 0.62, primary education AOR: 0.49, 95% CI: 0.34, 0.69), religion (protestant AOR: 0.72, 95% CI: 0.64, 0.81), Muslim; AOR: 0.87, 95% CI: 0.78, 0.96, Others; AOR: 0.66, 95% CI: 0.50, 0.87), wealth index (poor; AOR: 0.70, 95% CI: 0.63, 0.79, middle; AOR: 0.75, 95% CI: 0.66, 0.85), working status (Not working; AOR: 0.73, 95% CI: 0.66, 0.80), husband working status (husband not working; AOR:1.69, 95% CI: 1.43, 2.0) and sex of household head (female heads; AOR: 1.29, 95% CI: 1.08, 1.54) were statistically significant factors. CONCLUSION: Generally women's participation in household decision making in our study was high (70.55%). It is highly affected by socio demographic and economic characteristics of women and husbands characteristics. This study indicates that educating women, improving their economic status through employment opportunities, empowering women to be head of household will enhance their participation on household decision making.