UNASSIGNED: A hospital-based unmatched case-control study was conducted from 10 November 2021 to 30 November 2021. A pre-tested, structured, and standard abstraction checklist was used to collect the data. After checking the data for completeness and consistency, it was coded and entered into Epi-Data 3.1 and then exported to Stata version 14 for analysis. All independent variables with a p-value ≤0.25 in bivariable binary logistic regression were entered into a multivariable analysis to control the confounding. Variables with p-values <0.05 were considered statistically significant.
UNASSIGNED: In this study, 134 neonatal near-miss cases and 268 controls were involved. The identified predictors of neonatal near-misses were rural residence [adjusted odds ratio (AOR): 2.01; 95% confidence interval (CI): 1.31-5.84], no antenatal care (ANC) follow-up visits (AOR: 2.98; 95% CI: 1.77-5.56), antepartum hemorrhage (AOR: 2.12; 95% CI: 1.18-4.07), premature rupture of the membrane (AOR: 2.55; 95% CI: 1.54-5.67), and non-vertex fetal presentation (AOR: 3.05; 95% CI: 1.93-5.42).
UNASSIGNED: The current study identified rural residents, no ANC visits, antepartum hemorrhage, premature rupture of membrane, and non-vertex fetal presentation as being significantly associated with neonatal near-miss cases. As a result, local health planners and healthcare practitioners must collaborate in enhancing maternal healthcare services, focusing specifically on the early identification of issues and appropriate treatment.
■一项基于医院的无匹配病例对照研究于2021年11月10日至2021年11月30日进行。一个预先测试,结构化,和标准的抽象清单被用来收集数据。在检查数据的完整性和一致性之后,它被编码并输入到Epi-Data3.1中,然后导出到Stata版本14进行分析。将双变量二元逻辑回归中p值≤0.25的所有自变量输入多变量分析以控制混杂。P值<0.05的变量被认为是统计学上显著的。
■在这项研究中,134例新生儿未遂病例和268例对照。确定的新生儿险些的预测因素是农村居住地[调整后的优势比(AOR):2.01;95%置信区间(CI):1.31-5.84],没有产前护理(ANC)随访(AOR:2.98;95%CI:1.77-5.56),产前出血(AOR:2.12;95%CI:1.18-4.07),胎膜早破(AOR:2.55;95%CI:1.54-5.67),和非顶点胎儿表现(AOR:3.05;95%CI:1.93-5.42)。
■当前的研究确定了农村居民,没有ANC访问,产前出血,胎膜早破,非顶点胎儿表现与新生儿近漏诊病例显著相关。因此,当地卫生规划师和保健从业人员必须合作加强孕产妇保健服务,特别关注问题的早期识别和适当的治疗。