Predictors of congenital anomalies among neonates admitted to public hospitals in eastern Ethiopia: a case–control study

Abstract

Objective Over 8 million newborns worldwide have congenital anomalies; 3.2 million have resultant disabilities. Ethiopia has a high burden of neonatal congenital anomalies, but research on predictors is limited. This study investigated predictors of neonatal congenital anomalies in eastern Ethiopia. Methods A facility-based unmatched case–control study on 387 mother–infant pairs (129 cases, 258 controls) in public hospitals was conducted. Data were obtained using an interviewer-administered structured questionnaire and a medical record review. Binary logistic regression with adjusted odds ratios (AOR) and 95% confidence intervals (CI) was used to identify predictors of congenital anomaly. Results Nervous system anomalies were most common 84 (65.1%), followed by gastrointestinal system anomalies 20 (15.5%). Maternal anemia (AOR: 4.37, 95% CI: 2.48–7.69), alcohol consumption during index pregnancy (AOR: 4.01, 95% CI: 1.88–8.54), khat chewing (AOR: 1.73; 95% CI: 1.04–2.85), rural residence (AOR: 1.73, 95% CI: 1.04–2.85) and antenatal care attendance (AOR: 0.43, 95% CI: 0.22–0.84) were significant predictors of congenital anomaly. Conclusion Several risk factors for congenital anomalies were identified. To reduce risk, antenatal care services should be improved and mothers encouraged to avoid harmful substances during pregnancy and maintain a healthy lifestyle. Intervention strategies are needed to target these risk factors.