Introduction
Stillbirth is defined as a baby born with no signs of life, weighing more than 1000 g, or with more than 28 completed weeks of gestation. Fetal death can be intrapartum or antepartum [
1]. The WHO update estimates that 2.6 million stillbirths occurred in 2015 [
2,
3]. A global stillbirth rate of 13.9 stillbirths per 1000 total births was estimated in 2021, with an estimated 1.9 million babies stillborn at 28 weeks of pregnancy or later [
4]. According to the 2016 Ethiopian demographic and health survey, the national stillbirth rate was 11.8 per 1000 pregnancies [
5], while the Amhara region, where the study will be done, had a stillbirth rate of 85 per 1000 pregnancies [
6].
Stillbirth is correlated with profound adverse outcomes, including psychological and social expenses incurred by women and their families, the community, and the government. These women are afflicted with anxiety, persistent depression, post-traumatic stress disorder, and stigmatization [
7‐
10]. Stillbirth is a major adverse birth outcome that affects both developing and developed countries. Stillbirth due to intra-partum loss is higher in developing countries than in developed countries where it is 59 and 10%, respectively. It has been reported that low- and middle-income countries account for 99% of these deaths [
11].
Decreasing the global burden of stillbirth mainly focuses on strategic interventions, and to enable these strategic interventions to minimize the stillbirth rate, identification of risk factors for stillbirth is needed. Previous studies have identified several factors linked to the occurrence of stillbirth. These factors include lack of prenatal care, age at first birth, birth order number, and the preceding birth interval, drinking alcohol during pregnancy, antepartum hemorrhage, premature rupture of membrane, meconium-stained amniotic fluid, induction of labor, labor not followed by partograph, previous history of stillbirth, and a birth weight less than 2500 g [
12‐
18]. However, these factors may vary across countries and time trends depending on the quality and accessibility of care in the health facility, and estimates for stillbirth determinants are impeded by various classification systems because of the unavailability of reliable data. As a result, the stillbirth rate has decreased, but only by very small amount, even though many developing nations, including Ethiopia, have been adopting many efficient programs to promote maternal and child health and build the abilities of health professionals [
19].
By 2030, the Every Newborn Action Plan goal of 12 stillbirths per 1000 live births will not be achieved in developing nations if the current rates of decline continue. To achieve every newborn action plan goal of stillbirth reduction, more focus will be needed on the risk factors and treating the causes of stillbirth [
15]. The Ethiopian government has been putting in place a variety of successful programs to enhance mother and child health conditions and strengthen the capacity of health workers to improve the quality of service during pregnancy, such as prenatal and delivery care [
19]. Although stillbirth and newborn mortality have shown less progress in Ethiopia, the outcome during pregnancy and delivery periods remains a critical issue in achieving the stated target in the Sustainable Development Goals (SDGs) [
20,
21]. However, the information shown in the study area is limited. As a result, the findings of this study will assist policymakers, program planners, implementers of governmental and non-governmental organizations, and providers and practitioners of maternal health services in offering evidence-based interventions that will help reduce the number of stillbirths in the hospital and the surrounding area.
Methods
Study area and period
An institutional-based cross-sectional study was conducted from April 1, 2020, to August 30, 2020, GC, at FHCSH and TGSH in Bahir Dar Amhara Regional State, North-West, Ethiopia. Bahir Dar is the capital city of Amhara National Regional State, located 565 km Northwest of Addis Ababa with an altitude of 1799 m above sea level a warm and temperate climate with an estimated population of 168,899 as per the 2018 world population review.
Study design
An institutional-based cross-sectional study.
Population
Source population
Any women who visited FHCSH and TGSH for delivery services from April 1, 2020, to August 30, 2020, G.C.
Study population
Women who gave birth at TGSH and FHCSH in the study period were included.
Inclusion criteria
Women who gave birth at FHCSH and TGSH who were randomly selected during the study period are included in the study.
Exclusion criteria
Women who died after delivery and before data collection were excluded.
Sample size estimation and sampling technique
The single population proportional formula was used to calculate the sample size. The total sample size was calculated using the following assumption to come up with the final sample size.
Confidence level = 97%.
The margin of error (precision) = 3%.
Proportion of stillbirth (p) = 8.5% [
6].
$$n=\frac{z^2\ p\left(1-p\right)}{d^2}$$
Where n = sample size, p = 0.085, d = 0.03(3% error of margin), z = 1.96 (standard normal probability for 97% CI) with a 10% non-respondent included, the sample size was 366.
A systematic random sampling technique was used to select study participants from the register within the referral hospitals, the sampling fraction was 1 /9 and every 9th was involved. A lottery system was used to determine the first mother from the delivery register.
The share of each hospital was determined based on the number of clients from the previous 6 months’ report. The calculated share was as follows: FHCSH = 248, TGSH = 118.
Data were collected by first-year residents and interns and supervised by a senior resident.
Study variables
Dependent variable Stillbirth (yes/No).
Independent variables
Socio demographic factors(age, marital status, educational status of the mother, residence, Socio-economic status, maternal occupation, religion),obstetric factors (parity, gravidity, gestational age, ANC, pregnancy-related complications, type of gestation, mode of delivery, pregnancy status, previous history of abortion, partograph use, labor abnormality, previous history stillbirth), and medical problems.
Operational definition
Bad obstetric history: Mothers who had a history of LBW, preterm birth, stillbirth, perinatal death, or abortion [
22].
Obstetric complication: pregnant women who had pregnancy induced hypertension(preeclampsia or eclampsia), premature rupture of membrane, antepartum hemorrhage or gestational diabetes mellitus.
Low birth weight: Birth weight less than 2.5 kg [
1].
Preterm birth: Delivery that occurs before 37 weeks of gestation [
1,
22].
Stillbirth: It is a baby born with no signs of life at or after 28 weeks gestation [
22].
Data collection
A structured interviewer-administered questionnaire was adopted from different literature [
18,
22‐
25]. Data were collected from mothers using structured checklists and questionnaires. First, the questionnaire was prepared in English and translated to the local language, Amharic, and translated back to English to observe its consistency. Finally, the questionnaire was pre-tested on 5% of mothers at Debre Markos referral hospital before the actual data collection; correction and modification were done based on the gap identified during the pre-test interview. The check list on the questioner was checked by data collectors & supervisors daily for completeness.
Data processing and analysis
Data were entered into Epi-data version 3.1 and then transported to SPSS 23 software packages for analysis. Descriptive statistics such as mean and percentage were determined. To identify associated factors of stillbirth, binary logistic regression was conducted, and variables with a p value less than 0.2 were selected for multivariable logistic regression. The p-value of 0.05and the 95% confidence interval (CI) were chosen as the level of significance. The results were described using tables, pie charts, and other graphs.
Data quality control
Before data collection, the checklist was tested to check the consistency of the format and the ability of the data collector’s performance. The checklist was modified based on the pretest results. One day of training and orientation was given to data collectors on how to carry out data collection and quality control.
Discussion
In this study, the proportion and associated factors of stillbirth were assessed in two public hospitals in Bahir Dar, Amhara region and the result of the study revealed that the proportion of stillbirths was 3.8%. This finding was similar to a studyconducted in Aksum General Hospital, Tigray region, which shows a prevalence of 3.68% [
22], in Tanzania, which was 3.5% [
26], and in Nigeria at 4.8% [
27]. Whereas lower than the studies conducted at the Buea Regional Hospital Fako Division south-west region, Cameroon, in Jimma University specialized hospital, Ethiopia and Amhara region using the Ethiopian Mini Demographic and Health Survey (EMDHS) which shows 26,8, and 8.5%, respectively. The variations between these findings may be due to the socioeconomic variations of the study subjects, of whom most them were urban residents which may result in improved birth outcome [
28].
This study showed that level of education, partograph use, and obstetric complications were significantly associated with the likelihood of having a stillbirth. Mothers with obstetric complications (like pregnancy-induced hypertension, Antepartum hemorrhage, premature rupture of fetal membranes, and GDM) in recent pregnancies were found to have a higher chance of experiencing stillbirth than those without obstetric complications. This finding was consistent with the study done in Nepal [
29], India [
30], Latvia [
31], two sites each in Africa (Zambia and Kenya) [
15], in ESIC MC and PGIMSR, Rajajinagar, Bangalore, Karnataka, Calabar, Nigeria’s University of Calabar Teaching Hospital (UCTH) [
27], tertiary hospital in sub-Saharan Africa [
32,
33], the Kilimanjaro Christian Medical Centre birth registry, Tanzania [
26], Tigray [
25], and Felege Hiwot Comprehensive Specialized Referral Hospital [
18]. This may be explained by the fact that the complications that have occurred during pregnancy have affected the well-being of the fetus in the uterus and may lead to preterm termination of pregnancy.
Study participants who were not followed with partograph were more likely to have a stillbirth than mothers who were followed with partograph. This finding had similarities with studies done in Nepal [
24], Aksum [
22], and Felege Hiwot comprehensive specialized referral hospital [
18].Those mothers who were not followed with partograph may have a delay in the detection of labor abnormalities, which could also result in delayed intervention.
Furthermore, newborns delivered by illiterate mothers were more likely to be stillborn than those who had completed primary school. This is consistent with the study done in Dhaka Bangladesh [
13], Nepal [
29], and the Amhara region using the Ethiopian Mini Demographic and Health Survey [
5] and Felege Hiwot Comprehensive Specialized Referral Hospital [
22].This may be explained in terms of the fact that illiterate mothers lack awareness of problems; lack early visits to health institutions, and may not understand given advice easily.
Conclusion
Our study found that stillbirth rate remains a major public health problem, and it is far below to achieve Every Newborn Action Plan target by 2030. In this study, level of education, partograph use, and obstetric complications are the major factors for stillbirth. The risk factors identified in this study can be prevented and managed by providing appropriate care during preconception, antepartum and intrapartum periods. Detailed assessment and frequent follow-up for the mothers who had pregnancy-related complications, and a regular teaching program at the ANC to create awareness. The other intervention for every laboring mother is to use partograph to decrease preventable stillbirths.
Acknowledgements
We would like to express our gratitude to the Department of Gynecology and Obstetrics, College of Medicine and Health Sciences, Bahir-Dar University for giving us this opportunity. We extend our heart-full gratitude to data collectors, study participants, supervisors, and staff.
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