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医疗机构阴道分娩产妇早期出院的决定因素:对埃塞俄比亚人口健康调查的进一步分析。

Determinants of early discharge after birth among mothers delivered vaginally at health facilities: further analysis of the Ethiopian demographic health survey.

机构信息

Department of Reproductive Health, Institute of Public Health, College of Medicine and Health Sciences, University of Gondar, P. O. Box 196, Gondar, Ethiopia.

Department of Human Physiology, School of Medicine, College of Medicine and Health Sciences, University of Gondar, P. O. Box 196, Gondar, Ethiopia.

出版信息

BMC Public Health. 2023 Oct 30;23(1):2128. doi: 10.1186/s12889-023-16922-y.

Abstract

INTRODUCTION

The majority of maternal and newborn deaths take place during the first few hours and days after birth and thus postnatal contacts should begin as early as possible, especially within the first 24 h, then again within two to three days after delivery. Globally, early postnatal discharge has increased over the past 50 years and currently too. Even if Ethiopia has very low PNC coverage, there is no evidence on who is discharged early. Hence, the aim of this study was to determine the magnitude and the predictors for early postnatal discharge in Ethiopia.

METHODS

This study was based on the secondary data analysis using the Ethiopian Demographic and Health survey (EDHS) 2016 data set. The weighted sample of 2,225 delivered mothers were included for the final analysis. The model was best fitted as assessed by Hosmer-Lemeshow test (p value = 0.1988). The variables with P-value ≤ 0.2 in the bi- variable binary logistic regression analysis were included in to the multi-variable binary logistic regression analysis. The Adjusted Odds Ratio (AOR) with 95% confidence interval (95% CI) was computed to assess the strength of association between the outcome and independent variables. The variables with a P-value of less than 0.05 in the multi-variable binary logistic regression analysis were declared as statistically significant predictors of the outcome variable.

RESULT

The overall magnitude of early discharge was 70.41% (CI: 68.48, 72.30). Residence (rural; AOR: 0.61, 95% CI: 0.46, 0.80), educational status (No education; AOR: 1.87, 95% CI: 1.19, 2.94), religion (Muslim; AOR: 0.69, 95% CI: 0.55, 0.87, Others; AOR: 0.24, 95% CI: 0.10, 0.57), wealth index (Poor; AOR: 0.77; 95% CI: 0.59, 0.99), marital status (Not married; AOR: 0.29; 95% CI: 0.13, 0.67), ANC visits (No ANC visits; AOR: 0.63; 95% CI: 0.46,0.86), parity (3rd parity; AOR: 1.48; 95% CI: 1.03, 2.11), and size of the child (larger size; AOR: 0.63;95% CI: 0.50,0.79, (smaller size; AOR: 0.72; 95% CI: 0.56,0.92) were independent determinants of early discharge.

CONCLUSION

A substantial proportions of mothers in Ethiopia had been discharged early (before 24 h). Residence, education, wealth index, religion, marital status, ANC follow up, parity and size of the child were predictors of early discharge. Adequate hospital stay should be promoted. Since the early discharge in Ethiopia is very high, home based postnatal visit should be strengthened focusing the identified predictors.

摘要

介绍

大多数母婴死亡发生在分娩后最初几小时和几天内,因此产后接触应尽早开始,尤其是在分娩后 24 小时内,然后再次在分娩后两到三天内进行。在过去的 50 年里,全球的早期产后出院率一直在上升,目前也是如此。即使埃塞俄比亚的母婴保健接触率非常低,也没有证据表明谁会提前出院。因此,本研究的目的是确定埃塞俄比亚提前产后出院的规模和预测因素。

方法

本研究基于使用埃塞俄比亚人口与健康调查(EDHS)2016 数据集的二次数据分析。最终分析包括了 2225 名分娩母亲的加权样本。通过 Hosmer-Lemeshow 检验(p 值=0.1988)评估模型拟合最佳。在双变量二项逻辑回归分析中,p 值≤0.2 的变量被纳入多变量二项逻辑回归分析。计算调整后的优势比(AOR)和 95%置信区间(95%CI),以评估结果与独立变量之间的关联强度。在多变量二项逻辑回归分析中 p 值小于 0.05 的变量被宣布为结果变量的统计学显著预测因素。

结果

总体提前出院率为 70.41%(CI:68.48,72.30)。居住地(农村;AOR:0.61,95%CI:0.46,0.80)、教育程度(未受教育;AOR:1.87,95%CI:1.19,2.94)、宗教(穆斯林;AOR:0.69,95%CI:0.55,0.87,其他人;AOR:0.24,95%CI:0.10,0.57)、财富指数(贫困;AOR:0.77;95%CI:0.59,0.99)、婚姻状况(未婚;AOR:0.29;95%CI:0.13,0.67)、ANC 就诊(无 ANC 就诊;AOR:0.63;95%CI:0.46,0.86)、产次(第三产次;AOR:1.48;95%CI:1.03,2.11)和儿童大小(较大;AOR:0.63;95%CI:0.50,0.79,较小;AOR:0.72;95%CI:0.56,0.92)是提前出院的独立决定因素。

结论

埃塞俄比亚相当一部分产妇提前出院(在 24 小时内)。居住地、教育程度、财富指数、宗教、婚姻状况、ANC 随访、产次和儿童大小是提前出院的预测因素。应促进产妇充分住院。由于埃塞俄比亚的提前出院率非常高,应加强以确定的预测因素为重点的家庭产后访视。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c236/10617109/5e48a404729b/12889_2023_16922_Fig1_HTML.jpg

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