Trend Analysis on Maternal Health Care Services Utilization in Amhara Region Referral Hospitals, Ethiopia

According to World Health Organization (WHO) repot complications arising during pregnancy death accounts 580,000 women of reproductive age each year, and a high proportion of these deaths contributed in sub-Saharan Africa. Impediments to the effective delivery care, ANC and PNC include geographical, financial and cultural barriers. The objectives of this study were to assess the current status of maternal health care services, compared to previous data factors that influence the utilization of these services, and to investigate trend analysis of improvement of utilization of maternal health care services in Amhara region, Ethiopia. Institution based cross sectional study design was conducted in Amhara region referral hospitals from January 2016 to December 2016. Maternal health care service providers in the respective health facilities collected primary and secondary data using structured and semi structured questionnaire. Odds Ratios, Bivariate and Multivariate logistic regression were used to identify predictor variables associated with the dependent variables. A total of 415 primary data and different samples in different year for secondary data were completed and making utilization of Antenatal Care (ANC), Delivery Care (DC) and Postnatal Care (PNC) services in 2000 to 2016 was found to be the children birth order of 1 mothers (primipara) (21.8%, 18.2%, 15.5% and 65.8%), (18.4%, 18.4%, 15.5% and 50.1%) and (31.7%, 33.4%, 14.4% and 54.9%) with respective years. Women residing in urban areas were 1.5, 1.7, 1.2 and 1.5 times more likely than women in rural areas to receive ANC from a health professional in respective years. Almost all predicted response CI out of covering 1 implies that there was an effect of the factor under consideration. Birth order (gravidity), residence, mothers’ education and wealth index in explaining the utilization of maternal health care services confirmed both bivariate and multivariate analyses significant effect in every year.