Predictors of unintended pregnancy in Kersa, Eastern Ethiopia, 2010

Abstract

BackgroundIn Ethiopia, little is known about pregnancy among rural women. Proper maternal health care depends on clear understanding of the reproductive health situation. The objective of this study was to identify predictors of unintended pregnancy in rural eastern Ethiopia.MethodologyThis study was part of pregnancy surveillance at Kersa Demographic Surveillance and Health Research Center, East Ethiopia. Pregnant women were assessed whether their current pregnancy was intended or not. Data were collected by lay interviewers using uniform questionnaire. Odds Ratio, with 95% confidence interval using multiple and multinomial logistic regression were calculated to detect level of significance.ResultsUnintended pregnancy was reported by 27.9% (578/2072) of the study subjects. Out of which, 440 were mistimed and 138 were not wanted. Unintended pregnancy was associated with family wealth status (OR 1.47; 95% CI 1.14, 1.90), high parity (7 +) (OR 5.18; 95% CI 3.31, 8.12), and a longer estimated time to walk to the nearest health care facility (OR 2.24; 95% CI: 1.49, 3.39).In the multinomial regression, women from poor family reported that their pregnancy was mistimed (OR 1.69; 95% CI 1.27, 2.25). The longer estimated time (80 + minutes) to walk to the nearest health care facility influenced the occurrence of mistimed pregnancy (OR 2.58; 95% CI: 1.65, 4.02). High parity (7+) showed a strong association to mistimed and unwanted pregnancies (OR 3.11; 95% CI 1.87, 5.12) and (OR 14.34; 95% CI 5.72, 35.98), respectively.ConclusionsThe economy of the family, parity, and walking distance to the nearest health care institution are strong predictors of unintended pregnancy. In order to reduce the high rate of unintended pregnancy Efforts to reach rural women with family planning services should be strengthened.

Prevalence of unintended pregnancy among antenatal care followers, in kersa woreda, estern hararghae, Ethiopia

“…The difference may also attribute to study area, which is district versus nation. However, our finding was very closer to research finding from Kersa, (Kassa et al 2012). This could be due to similarity in study area because study participants may have similar socioeconomic, cultural and religious background.…”

“…The study unit was pregnant women visiting randomly selected health facili-ties during the time of data collection for ANC follow up. The sample size was determined by single population proportion formula considering prevalence of 27.9 % for unintended pregnancy in kersa woreda, (Kassa et al 2012), a 5% margin of error, a 95% confidence level, and 10% non-response rate; giving total sample of 310. Since the total number of pregnant women in the were was about 7584 which are <10,000, we use correction formula to get the final sample size and this gives 298 adding 10% none response rate the final sample was 328.…”

‘I am all alone’: factors influencing the provision of termination of pregnancy services in two South African provinces

“…An enabling environment which includes infrastructure, availability of medicines and equipment, has quality of care and lower cost benefits [36,37] and is essential for safe abortion care. South Africa’s progressive abortion legislation necessitates that provincial health authorities ensure that systems are in place for procurement and distribution of all medical equipment, drugs and supplies necessary for the safe delivery of TOP services.…”

Prevalence and Associated Factors of Unintended Pregnancy in Welkaite Woreda, Tigray and North Ethiopia Cross Sectional Study by 2012

“…It is a worldwide problem that affects women, their families, society and nation. A complex set of social and psychological factor puts women at risk for unintended pregnancy [2]. Each year, 210 million pregnancies occur throughout the world, 80 million of the women have unintended pregnancies, 45 million of which are terminated.…”