Browsing by Author "Sigu, Steve Biko"
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Item Demand for Contraception after Self -Managed Medical Abortion: The Case of Nakuru County, Kenya(The Brooklyn Research and Publishing Institute, 442 Lorimer St, Brooklyn, NY 11206, United States, 2025-06) Sigu, Steve Biko; Omondi, FrancisThis study examined demographic and socioeconomic determinants of post-medical abortion contraceptive demand using data from 401 women who obtained medical abortion drugs at 21 pharmacies in Nakuru, Kenya, as part of the PMAC project pilot. A probit model was used to identify key factors. Although 60% of women initially chose to bundle abortion drugs with contraceptives, only 43% used contraception after selfmanaged abortion. Socioeconomic factors such as effective demand, exposure to contraceptive promotional interventions, abortion decision-making, and prior contraceptive use significantly influenced post-abortion contraceptive uptake, alongside demographic factors like age, marital status, and education level. The findings highlight the multifaceted nature of contraceptive decision-making following self-managed abortion, shaped by both individual and contextual factors. The study concludes that aligning decisionsupport strategies and targeted interventions may help increase contraceptive use post-abortion, informing policy and programmatic approaches in similar contexts.Item Demand for Contraception after Self-Managed Medical Abortion: The Case of Nakuru County, Kenya.(Kenyatta University, 2025-06) Sigu, Steve BikoThe low utilization of contraception following medical abortion is a key factor in the high rate of repeated induced abortions, primarily because fertility returns quickly after the first trimester abortion. Women who obtain medical abortions through pharmacies often miss out on essential contraceptive counseling, which is crucial for informed method selection. Using data from Post medical Abortion contraception (PMAC) project pilot, the study analyzed the data from 401 women who obtained medical abortion drugs from 21 pharmacies in Nakuru to establish demographic and socioeconomic factors that determine demand for contraception use following medical abortion. Correlation between the variables, normality of data and heteroskedasticity was assessed to inform the list of variables to be included in the probit model. Marginal effect was used to establish the determinants of demand and signal the coefficients provided the extent of influence on demand. While 60% of women initially opt to bundle medical abortion drugs with contraceptive methods, only 43% were using contraception after a self-managed abortion. Significant socioeconomic factors affecting demand for post-abortion contraception include effective demand, exposure to promotional interventions, abortion decision-making, and past contraceptive use. Demographic factors such as age, marital status, and education level also play a significant role in influencing the demand for contraceptive use post-abortion. The study underscores the complexity of contraceptive seeking following self- medical abortion, contextualized by socioeconomic factors, intervention exposure, and personal decision-making dynamics. Such findings suggest an alignment between decision support and intervention delivery could be pivotal in promoting higher contraceptive utilization rates. Strengthening community based contraceptive service delivery model could potentially improve contraceptive coverage and prevalence rate.