Preconception care utilization and associated factors among reproductive age women in Mizan-Aman town, Bench Sheko zone, Southwest Ethiopia, 2020. A content analysis

• Published in: PloS one 2022-08, Vol.17 (8), p.e0273297-e0273297
• Main Authors: Setegn Alie, Melsew, Alemu, Tsedach, Alemayehu, Dereje, Negesse, Yilkal, Gebremariam, Abebe
• Format: Article
• Language: English
• Subjects: Age; Age groups; Attitudes; Birth defects; Care and treatment; Childrens health; Confidence intervals; Congenital defects; Content analysis; Data collection; Dependent variables; Earth Sciences; Education; Health aspects; Health care facilities; Households; Independent variables; Likert scale; Low income groups; Maternal & child health; Medical care; Medicine and Health Sciences; Obstetrics; Population; Pregnancy; Questionnaires; Regression models; Reproductive health; Sample size; Sampling techniques; Social Sciences; Sociodemographics; Socioeconomics; Statistical analysis; Statistics; Teaching hospitals; Utilization; Variables; Variance analysis; Women; Womens health
• ISSN: 1932-6203; 1932-6203
• DOI: 10.1371/journal.pone.0273297

Preconception care is highly important in reducing a number of adverse pregnancy outcomes and helps to improve maternal health. Preconception care optimizes women's health and improves pregnancy outcomes. It is a cost-effective first-line preventive strategy for birth defects. However, preconception care utilization in Ethiopia was very low. Studies on these issues are limited in Ethiopia in general and in Mizan-Aman town in particular. To assess preconception care utilization and associated factors among reproductive age women in Mizan-Aman town, Bench-Sheko Zone, Southwest Ethiopia. A community based cross-sectional study design was employed from April 16 to May 26, 2020 in Mizan-Aman town. The total study participants were 624 reproductive age women. Data were collected by using pre-tested interviewer administered questionnaires and entered into Epi-data version 3.1 then exported to STATA version 14 and analyzed accordingly. Univeriate and Bivariable analysis was done by analysis of variance (ANOVA) and independent t-test. Multivariable statistical analysis using generalized linear regression model (GLM) approach was used to classify factors of preconception care utilization. Since our response variable is measured in terms of count variable, we used a Poisson regression model with a log link function. Finally, Statistical significance between dependent and independent variables were assessed by odds ratios and 95% confidence intervals. Overall, 28.6% of the women receipt atleast one item of preconception care while only 1.5% were taken the whole recommended components of preconception care services. The most common item received in the study area was taking micronutrient supplementation (18.5%). Age of women, educational status, husbands educational status, husbands occupation, wealth status, distance from the health facility, waiting time to get services, planning to pregnancy, age at first pregnancy, previous ANC use, Previous PNC use, adverse pregnancy experience, women's knowledge of preconception care, and attitude on preconception care were determinants of preconception service utilization. Preconception care component utilization was lower as compare with recommended service with different disparities. Multipurpose tailored strategies which incorporate a woman with no formal education, poor knwledge on preconception care,never take maternal services previously and distant from health facility could improve preconception care service utilization.