Journal of Women's Health Care

Journal of Women's Health Care
Open Access

ISSN: 2167-0420



Magnitude of Unintended Pregnancy and its Determinants among Pregnant Women Visiting Dilla University Referral Hospital, South Ethiopia

Mohammed Feyisso, Alebachew Girma, Hamid Yimam and Sileshi Hailu

Background: Unintended pregnancy is important maternal public health concern both in the developing and developed world. The proportion of unintended pregnancies is alarmingly high in Ethiopia and there is enormous information gap on the determinants of unwanted and mistimed pregnancy.

Objectives: To determine magnitude of unintended pregnancy and its determinants among pregnant women visiting antenatal and postnatal care clinic at Dilla University Referral Hospital.

Methods: Institution based cross-sectional study was conducted on 290 women attending antenatal clinic and Postnatal women at Dilla University Referral Hospital from February to June, 2016. Using consecutive arrival of client systematic sampling technique was conducted based on the patient flow per month. A structured questionnaire survey was used to collect data the data was entered and processed by IBM SPSS statistics version 20 for analysis. Descriptively frequencies and percentage was used and association between unintended pregnancy and independent variables were assessed using logistic regression.

Results: The prevalence of unintended pregnancy is 36.9%. The study revealed that women less than 20 years old were about 2 times higher risk of having unintended pregnancy compared to 30 years and above women (AOR=1.84, CI: 1.02-4.29). Likewise, compared to married women singles were 2 times more likely to have unintended pregnancy (AOR=1.78; CI: 1.048- 5.078) and illiterate women were found to be less likely to have unintended pregnancy (AOR=0.074; CI: 0.021-0.263) according to multi-variable analysis.

Conclusion: From the finding significant proportion of women (36.9%) had unintended pregnancy. Age of women, marital status and educational status were the variables significantly affecting the level of unintended pregnancy.