Spatial pattern of perinatal mortality and its determinants in Ethiopia: Data from Ethiopian Demographic and Health Survey 2016

Predictors of perinatal mortality in Liberia's post-civil unrest: A comparative analysis of the 2013 and 2019-2020 Liberia Demographic and Health Surveys

INTRODUCTION

Perinatal mortality remains a pressing concern, especially in lower and middle-income nations. Globally, 1 in 72 babies are stillborn. Despite advancements, the 2030 targets are challenging, notably in sub-Saharan Africa. Post-war Liberia saw a 14% spike in perinatal mortality between 2013 and 2020, indicating the urgency for in-depth study.

OBJECTIVE

The study aims to investigate the predictors of perinatal mortality in Liberia using 2013 and 2019-2020 Liberia Demographic and Health Survey datasets.

METHODS

In a two-stage cluster design from the Liberia Demographic and Health Survey, 6572 and 5285 respondents were analysed for 2013 and 2019-2020, respectively. Data included women aged 15-49 with pregnancy histories. Descriptive statistics was used to analyse the sociodemographic characteristics, the exposure to media and the maternal health services. Bivariate and multivariate logistic regressions were used to examine the predictors of perinatal mortality at a significance level of p value ≤0.05 and 95% CI. The data analysis was conducted in STATA V.14.

RESULTS

Perinatal mortality rates increased from 30.23 per 1000 births in 2013 to 42.05 in 2019-2020. In 2013, increasing age of respondents showed a reduced risk of perinatal mortality rate. In both years, having one to three children significantly reduced mortality risk (2013: adjusted OR (aOR) 0.30, 95% CI 0.14 to 0.64; 2019: aOR 0.24, 95% CI 0.11 to 0.54), compared with not having a child. Weekly radio listenership increased mortality risk (2013: aOR 1.36, 95% CI 0.99 to 1.89; 2019: aOR 1.86, 95% CI 1.35 to 2.57) compared with not listening at all. Longer pregnancy intervals (p<0.0001) and receiving 2+ tetanus injections (p=0.019) were protective across both periods. However, iron supplementation showed varied effects, reducing risk in 2013 (aOR 0.90, 95% CI 0.48 to 1.68) but increasing it in 2019 (aOR 2.10, 95% CI 0.90 to 4.92).

CONCLUSION

The study reports an alarming increase in Liberia's perinatal mortality from 2013 to 2019-2020. The findings show dynamic risk factors necessitating adaptable healthcare approaches, particularly during antenatal care. These adaptable approaches are crucial for refining health strategies in line with the Sustainable Development Goals, with emphasis on the integration of health, education, gender equality, sustainable livelihoods and global partnerships for effective health outcomes.

The effects of advanced maternal age on perinatal mortality in Ethiopia: A systematic review and meta-analysis

Background

Pregnancy in women over the age of 35 years is considered advanced maternal age. The relationship between advanced maternal age and the risk of perinatal mortality is still controversial. As a result, this systematic review and meta-analysis were carried out to clarify the relationship between advanced maternal age and perinatal mortality in Ethiopia.

Methods

The following electronic databases were used for this systematic review and meta-analysis: PubMed, Web of Science, Scopus, Science Direct, Google Scholar, HINARI, and African Journals Online up to March 2022. Addis Ababa, Gondor, and Jimma University research repositories were also searched. A random-effects model was used to pool study-specific odds ratios.

Results

A total of 18 articles, including a total of 45,541 participants, were included in the meta-analysis. A total of 11 cross-sectional, 2 case-control, and 5 cohort studies were included. The overall pooled estimate indicates that women with advanced maternal age had a 1.58 higher risk of perinatal mortality compared to women in the younger age group (odds ratio = 1.58; 95% Confidence Interval: 1.13-2.03). The subgroup analysis also revealed that there were differences in the effect size as the geographical region differed. The result showed that the odd of perinatal mortality was highest in the Oromia region and lowest in the Southern Nations Nationalities and Peoples' Region.

Conclusion

The overall pooled estimate indicates that women with advanced maternal age had a 1.58-fold higher risk of perinatal mortality. Even though this risk could also be increased with other comorbid diseases, it is important for healthcare providers and other concerned stakeholders to be aware of the increased risks associated with advanced maternal age and provide different intervention programs designed to create awareness and provide counseling services to couples who seek to have a child in their later ages about the risks of advanced maternal age pregnancy on perinatal mortality and other adverse pregnancy outcomes.

The HIV paradox: Perinatal mortality is lower in HIV-positive mothers-A field case-control study in Ethiopia

OBJECTIVE

Sub-Saharan African countries have the highest perinatal mortality rates. Although HIV is a risk factor for perinatal death, antioretroviral therapy (ART) programs have been associated with better outcomes. We aimed to investigate how maternal HIV affects perinatal mortality.

METHODS

The authors performed a nested case-control study at Saint Luke Hospital, Wolisso, Ethiopia. Data on sociodemographic characteristics, current maternal conditions, obstetric history, and antenatal care (ANC) services utilization were collected. The association between perinatal mortality and HIV was assessed with logistic regression adjusting for potential confounders.

RESULTS

A total of 3525 birthing women were enrolled, including 1175 cases and 2350 controls. Perinatal mortality was lower among HIV-positive women (18.3% vs. 33.6%, P = 0.007). Crude analysis showed a protective effect of HIV (odds ratio, 0.442 [95% confidence interval, 0.241-0.810]), which remained after adjustment (adjusted odds ratio, 0.483 [95% confidence interval, 0.246-0.947]). Among HIV-negative women, access to ANC for women from rural areas was almost half (18.8% vs. 36.2%; P < 0.001), whereas in HIV-positive women, no differences were noted (P = 0.795).

CONCLUSION

Among HIV-positive mothers, perinatal mortality was halved and differences in access to ANC services by area were eliminated. These data highlight the benefits of integrating ANC and HIV services in promoting access to the health care system, reducing inequalities and improving neonatal mortality.

Postpartum anemia and its determinant factors among postnatal women in two selected health institutes in Gondar, Northwest Ethiopia: A facility-based, cross-sectional study

Background

Anemia is highly prevalent globally and disproportionately affects postnatal women. It is a significant cause of maternal mortality and morbidity globally.

Objective

The main aim of this study was to determine the extent of postpartum anemia and associated factors among postnatal women in two selected health facilities in Gondar, Northwest Ethiopia.

Methods

A facility-based, cross-sectional study was conducted among 282 postnatal women from March to May 2021. A systematic sampling technique was used to recruit study participants from each institute. Sociodemographic, obstetric, and clinical data were collected through a semi-structured questionnaire. A venous blood sample was collected to determine the red blood cell parameters. A thin blood smear preparation was performed to examine blood morphology. In addition, direct wet mount and formalin-ether sedimentation techniques were used for stool examination to identify intestinal parasites. Data were entered into EpiData and exported to Stata 14 for statistical analysis. Descriptive statistics were presented in text, tables, and figures. A binary logistic regression model was used to identify factors associated with postpartum anemia. A p-value <0.05 was considered statistically significant.

Results

The proportion of postpartum anemia was 47.16%; 95% CI; 41.30-53.03 with moderate, mild, and severe anemia accounting for 45.11, 42.86, and 12.03%, respectively. The majority of the anemia (94%) was of the normocytic normochromic type. It was associated with postpartum hemorrhage (AOR = 2.23; 95% CI: 1.24-4.01), cesarean section (AOR = 4.10; 95% CI: 2.11-7.78), lack of iron and folate supplementation during pregnancy (AOR = 2.12; 95% CI: 1.17-4.02), and low diet diversity level (AOR = 1.83; 95% CI: 1.05-3.18).

Conclusion

The prevalence of anemia was found to be a major public health concern. Iron and folate supplementation during pregnancy, improved management of PPH, an effective cesarean section with post-operative care, and taking a diversified diet will reduce the burden. Therefore, identified factors should be considered to prevent and control postpartum anemia.

Spatio-temporal variations in neonatal mortality rates in Ghana: An application of hierarchical Bayesian methods

Ghana might not meet the SDGs target 3.2 of reducing neonatal mortality to 12 deaths per 1000 live births by 2030. Identifying core determinants of neonatal deaths provide policy guidelines and a framework aimed at mitigating the effect of neonatal deaths. Most studies have identified household and individual-level factors that contribute to neonatal mortality. However, there are relatively few studies that have rigorously assessed geospatial covariates and spatiotemporal variations of neonatal deaths in Ghana. This study focuses on modeling and mapping of spatiotemporal variations in the risk of neonatal mortality in Ghana using Bayesian Hierarchical Spatiotemporal models. This study used data from the Ghana Demographic and Health Surveys (GDHS) conducted in 1993, 1998, 2003, 2008, and 2014. We employed Bayesian Hierarchical Spatiotemporal regression models to identify geospatial correlates and spatiotemporal variations in the risk of neonatal mortality. The estimated weighted crude neonatal mortality rate for the period under consideration was 33.2 neonatal deaths per 1000 live births. The results obtained from Moran's I statistics and CAR model showed the existence of spatial clustering of neonatal mortality. The map of smooth relative risk identified Ashanti region as the most consistent hot-spot region for the entire period under consideration. Small body size babies contributed significantly to an increased risk of neonatal mortality at the regional level [Posterior Mean: 0.003 (95% CrI: 0.00,0.01)]. Hot spot GDHS clusters exhibiting high risk of neonatal mortality were identified by LISA cluster map. Rural residents, small body size babies, parity, and aridity contributed significantly to a higher risk of neonatal mortality at the GDHS cluster level. The findings provide actionable and insightful information to prioritize and distribute the scarce health resources equitably to tackle the menace of neonatal mortality. The regions and GDHS clusters with excess risk of neonatal mortality should receive optimum attention and interventions to reduce the neonatal mortality rate.

How applicable is geospatial analysis in maternal and neonatal health in sub-Saharan Africa? A systematic review

Background

Sub-Saharan Africa (SSA) has the world's highest maternal and neonatal morbidity and mortality and has shown the slowest progress in reducing them. In addition, there is substantial inequality in terms of maternal and neonatal morbidity and mortality in the region. Geospatial studies can help prioritize scarce resources by pinpointing priority areas for implementation. This systematic review was conducted to explore the application of geospatial analysis to maternal and neonatal morbidity and mortality in SSA.

Methods

A systematic search of PubMed, SCOPUS, EMBASE, and Web of Science databases was performed. All observational and qualitative studies that reported on maternal or neonatal health outcomes were included if they used a spatial analysis technique and were conducted in a SSA country. After removing duplicates, two reviewers independently reviewed each study's abstract and full text for inclusion. Furthermore, the quality of the studies was assessed using the Joanna Briggs Institute (JBI) critical appraisal checklists. Finally, due to the heterogeneity of studies, narrative synthesis was used to summarize the main findings, and Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guideline was strictly followed to report the review results. A total of 56 studies were included in the review.

Results

We found that geospatial analysis was used to identify inequalities in maternal and neonatal morbidity, mortality, and health care utilization and to identify gaps in the availability and geographic accessibility of maternal health facilities. In addition, we identified a few studies that used geospatial analysis for modelling intervention areas. We also detected challenges and shortcomings, such as unrealistic assumptions used by geospatial models and a shortage of reliable, up-to-date, small-scale georeferenced data.

Conclusions

The use of geospatial analysis for maternal and neonatal health in SSA is still limited, and more detailed spatial data are required to exploit the potential of geospatial technologies fully.

Women’s Decision-Making Power on Modern Family Planning Use and Its Associated Factors in Northwest Ethiopia

Introduction

Poor decision-making power on family planning among married women is a public health concern. Despite this, there is a scarcity of research done on decision-making power of family planning use as one of their basic human rights. The study is aimed at determining the magnitude of married women's decision-making power on family planning use and its associated factors.

Methods

This was a community-based cross-sectional study that was conducted on married women from May, 01-30/2021. A multistage systematic random sampling technique was applied to select 620 eligible study participants. The study used semi-interviewer questionnaires to collect data, and the collected data were entered into EpiInfo version 3.7.2 and then exported to SPSS version 20 for analysis. Bivariate and multivariable logistic regression analyses were used. The strength of associations of variables was described by using odds ratio, 95% confidence level, and P values less than 0.05.

Results

A total of 620 women were interviewed with 98% of the response rate. Overall, married women's decision-making power on family planning was 440 (71.0%). Odds of decision-making power on family planning use were higher among women who have primary education (AOR = 11.31, CI: 4.90-26.09) and secondary and above (AOR = 6.99, CI: 3.89-12.56) as compared with those who have no education. Husbands with secondary and above educational level (AOR = 3.27, CI: 1.58-6.78), having good knowledge about family planning use (AOR = 2.41, CI: 1.48-3.95) and having a good attitude towards family planning (AOR = 6.59, CI: 4.01-10.75), had higher odds of decision-making power on family planning.

Conclusion

Women's educational status, knowledge, and attitude increased the odds of decision-making power on family planning. Therefore, the authors recommend awareness creation on family planning considering lower educational level as a priority to improve women's decision-making power.

Perinatal mortality and its predictors in Kersa Health and Demographic Surveillance System, Eastern Ethiopia: population-based prospective study from 2015 to 2020

OBJECTIVE

Perinatal mortality is an important outcome indicator for newborn care and directly mirrors the quality of prenatal, intra partum and newborn care. Therefore, this study was aimed at estimating perinatal mortality and its predictors in Eastern Ethiopia using data from Kersa Health and Demographic Surveillance System (KHDSS).

DESIGN, SETTINGS AND PARTICIPANTS

An open dynamic cohort design was employed among pregnant women from 2015 to 2020 at KHDSS. A total of 19 687 women were observed over the period of 6 years, and 29 719 birth outcomes were registered.

OUTCOME MEASURES

Perinatal mortality rate was estimated for each year of cohort and the cumulative of 6 years. Predictors of perinatal mortality are identified.

RESULTS

From a total of 29 306 births 783 (26.72 deaths per 1000 births; 95% CI 24.88 to 28.66) deaths were occurred during perinatal period. Rural residence (adjusted OR (AOR)=3.43; 95% CI 2.04 to 5.76), birth weight (low birth weight, AOR=3.98; 95% CI 3.04 to 5.20; big birth weight, AOR=2.51; 95% CI 1.76 to 3.57), not having antenatal care (ANC) (AOR=1.67; 95% CI 1.29 to 2.17) were associated with higher odds of perinatal mortality whereas the parity (multipara, AOR=0.46; 95% CI 0.34 to 0.62; grand multipara, AOR=0.31; 95% CI 0.21 to 0.47) was associated with lower odds of perinatal mortality.

CONCLUSIONS

The study revealed relatively high perinatal mortality rate. Place of residence, ANC, parity and birth weight were identified as predictors of perinatal mortality. Devising strategies that enhance access to and utilisations of ANC services with due emphasis for rural residents, primipara mothers and newborn with low and big birth weights may be crucial for reducing perinatal mortality.