Predictors of preterm birth in Western Ethiopia: A case control study.

BACKGROUND: Early neonatal death caused by preterm birth contributes the most for perinatal death. The prevalence of preterm birth continues to rise and is a significant public health problem. The exact cause of preterm birth is yet unanswered, as mostly preterm birth happens spontaneously. Predictors of preterm birth in developing countries like Ethiopia were not well investigated, and no study was conducted before this in the study area. OBJECTIVES: To identify predictors of preterm birth in Western Ethiopia, 2017/2018. METHODS: Health facility-based unmatched case-control study was conducted from October 20/2017-march 20/2018 in 4 Hospitals. A total sample size of 358 women was recruited. From this 72 were cases and 286 were controls. Cases were mothers who gave Preterm birth, and controls were mothers who gave birth at term. Ethical clearance was obtained from Wollega University ethical review committee. A pre tested, structured questionnaire was used to collect data. Data entry and analysis was done using Epi Data 3.1 and SPSS version 21, respectively. Logistic regression was done to identify predictors of preterm birth. RESULT: Three hundred fifty-eight women participated in this study of which 72 were cases and 286 were controls; making the overall response rate of 100%. Lack of antenatal care visit [AOR = 3.18, 95% CI 1.37-7.38]),(Having 1-2 antenatal care visit [AOR = 2.27, 95% CI 1.18-4.35]),history of previous preterm)[AOR = 5.19, 95% CI1.29-20.88],Short Interpregnancy Interval [AOR = 4.41.95% CI 2.05-9.47],Having Reproductive tract infections [AOR = 2.54, 95% CI 1.02-6.32] and having Obstetric complications [AOR = 2.48,95% CI 1.31-4.71] were found to be predictors of preterm birth. CONCLUSION AND RECOMMENDATION: Risk factors of preterm delivery are multifactorial and depend on geographical and demographic features of the population studied. Hence results of studies from one area might not be applicable to another area. Antenatal care visits are unique opportunities for early diagnosis and treatment of problems. Therefore, antenatal care should be strengthened, and appropriate counseling should be given at each antenatal care follow up. Maintainning optimum birth interval through family planning, and early identification and treatment of reproductive tract infections are mandatory.

Prevalence of anemia and its associated factors among pregnant women attending antenatal care follow up at Wollega University referral hospital, Western Ethiopia.

BACKGROUND: Even if anemia is a worldwide public health problem affecting numerous people in all age groups, particularly the burden of the problem is higher among pregnant women. Anemia is estimated to contribute to more than 115,000 maternal deaths and 591,000 prenatal deaths globally per year. Maternal mortality is the prime health indicator in any society. Therefore, determining the prevalence of anemia and assessing its associated factors among pregnant women might help for the intervention of the problem. OBJECTIVE: The objective of this study was to determine the prevalence of anemia and its associated factors among pregnant women attending Antenatal Care (ANC) at Wollega University Referral Hospital, Western Ethiopia. METHODS AND MATERIALS: Institution based cross-sectional study was conducted at antenatal care (ANC) departments of Gynecology and Obstetrics, and MCH at Wollega University Referral Hospital from July 15-22, 2019. A systematic random sampling technique was used to select the study unit. The data were collected using questionnaires, physical examination, and laboratory investigation. After collection, the data were entered using Epi Data version 3.1 and analyzed using SPSS version 20 statistical software. Bivariate and multivariate logistic regression analysis was performed to identify predictors of anemia. Finally, the result was presented using text, tables, and charts. RESULTS: The overall prevalence of anemia using a cut off level of hemoglobin < 11 g/dl (< 33% Haematocrit) was 51 (17.8%). Out of all anemic pregnant women, 19 (37.25%) were mildly anemic, 24 (47%) were moderately anemic and 8 (15.68%) were severely anemic. Multivariable logistic regression analysis revealed that Birth interval of less than 2 years (AOR = 2.56 CI [2.84-4.52]), history of malarial attack in the past 12 months (AOR = 2.585 CI [1.181-5.656]) and engaging into daily laborer occupation (AOR = 8.33 CI [2.724-25.497]) showed significant association with maternal anemia. CONCLUSIONS: The prevalence of anemia among pregnant women in this study is high. Having a birth interval of < 2 years, having a history of malarial attack in the past 12 months, and being engaged in daily laborer occupation were factors associated with anemia among pregnant women. Thus, contraceptive methods and information to space children, information, and services to prevent malaria and economically empowering women is needed to prevent anemia among pregnant women in the study area.