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Magnitude and determinants of adequate antenatal care service utilization among mothers in Southern Ethiopia

Lielt Gebreselassie Gebrekirstos, Tsiyon Birhanu Wube, Meron Hadis Gebremedhin, Eyasu Alem Lake

2021PLoS ONE39 citationsDOIOpen Access PDF

Abstract

BACKGROUND: Mortality from preventable pregnancy-related complications remains high in Ethiopia. Antenatal care remains a major public health intervention that prevents maternal and neonatal mortality. Thus, this study aimed to assess the magnitude and determinants of adequate antenatal care utilization in Southern Ethiopia. METHODS: A community-based cross-sectional study was conducted between November and December 2019. A systematic random sampling technique was used to select 670 women. Data were collected using a pre-tested structured questionnaire administered with a digital survey tool (open data kit) and directly exported to STATA version 15 for analysis. Descriptive statistics followed by a multivariable logistic regression analysis were performed. Both crude and adjusted odds ratios (ORs) with 95% confidence intervals were reported. RESULTS: The magnitude of adequate antenatal care utilization was 23.13%. Tertiary and above education (AOR,4.15;95%CI: 1.95, 8.83), having the best friend who used maternal care (AOR,2.01;95%CI: 1.18,3.41), husband support (AOR,3.84; 95%CI: 1.05, 14.08), high wealth index (AOR,3.61; 95%CI: 1.86, 6.99), follow-up in private health facilities (AOR, 2.27;95% CI:1.33, 3.88), having a history of risky pregnancy (AOR,2.59; 95%CI: 1.55, 4.35), and planned pregnancy (AOR,2.60;95% CI: 1.35, 4.99) were significant determinants of overall adequate ANC service utilization. CONCLUSION: The utilization of adequate antenatal care services is quite low. The study findings suggest that interventions should be in place to improve husband's support, social networks, and women's education. There is also a need to counsel women to utilize family planning.

Topics & Concepts

MedicineOdds ratioPregnancyPsychological interventionConfidence intervalCross-sectional studyLogistic regressionHealth facilityDescriptive statisticsPublic healthPrenatal careOddsEnvironmental healthDemographyPediatricsObstetricsPopulationNursingHealth servicesBiologySociologyGeneticsStatisticsMathematicsInternal medicinePathologyGlobal Maternal and Child HealthMaternal and Neonatal HealthcareMobile Health and mHealth Applications
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