This study aimed to address the spatial distribution and multilevel analysis of healthcare access barriers among women of reproductive age in Somalia.

The study was conducted across Somalia, an East African country facing significant spatial disparities in healthcare access. A cross-sectional study design was employed, using data from the 2020 Somali Demographic and Health Survey (SDHS). The data were analysed using both multilevel logistic regression and spatial analysis. To pinpoint barriers and identify statistically significant spatial clusters, the data were analysed using multilevel logistic regression in Stata V.17 and spatial analysis in R Studio (V.4.4.1), respectively.

The study population consisted of a weighted sample of 5118 women of reproductive age (15–49 years) from the SDHS.

Spatial analysis revealed significant regional heterogeneity, with high-prevalence areas concentrated in the northern region of Togdheer and a south-central cluster encompassing Galguduud, Hiiraan and Bakool. Multilevel analysis presented that women in the Bay region had nearly 10 times (AOR: 9.62) the risk of facing healthcare access barriers. While women in the highest quintile of wealth (AOR 0.21), those in higher education (AOR 0.30), those aged 45–49 (AOR 0.49) and not currently working (AOR 0.46) were significantly less likely to report access barriers.

Healthcare access barriers in Somalia are driven by a complex interplay of socioeconomic factors, specifically maternal age, education, employment and household wealth, and profound geographical disparities. Access barriers are not uniform but are geographically clustered in the south-central regions (Bay, Bakool, Hiiraan) and Togdheer in the northern region. Policy efforts must prioritise infrastructure investment in these identified high-burden hotspots while simultaneously dismantling systemic inequalities through the expansion of female education and financial protection schemes. This data-driven approach offers a definitive roadmap for decision-makers to equitably allocate resources and ensure that the most vulnerable populations are not left behind.

Premature birth is the leading cause of neonatal morbidity and mortality. Understanding perceptions, beliefs and attitudes towards preterm births, and how these factors influence care provision at health facilities and at home is crucial for improving preterm newborns’ health outcomes.

We conducted an exploratory qualitative study at Batu and Meki communities in the East Shewa Zone of Oromia Region, Ethiopia. We conducted in-depth interviews (n=81) and focus group discussions (n=8) using semistructured guides. The study participants included women who had preterm births, family members, community members, healthcare workers and expert stakeholders. We audio-recorded, transcribed the interviews and coded the transcripts. We employed the socioecological model to present perceptions, beliefs and attitudes towards preterm birth at individual, interpersonal, organisational and societal levels.

Giving birth to a preterm newborn is often associated with fear, stress, unhappiness, concern and worry. At the individual level, preterm newborns’ mothers often feel guilt and self-blame. Families tend to keep preterm birth a secret due to perceptions of ‘incompleteness’. At the interpersonal level, preterm newborns are often stigmatised and families are disappointed by mothers who give birth prematurely. However, some believe that preterm newborns are accepted within the community. At the organisational level, healthcare providers find the causes of preterm birth unpredictable, they do not consider preterm births prevalent, and consider some of them as abortion. There is also a common belief that preterm infants have a low survival rate, leading to the deprioritisation of their care. At the societal level, some believe preterm births are caused by divine will as punishment for sins committed by the mother, while others think they occur naturally. Preterm newborn’s death is often not acknowledged as true loss and families are discouraged from grieving.

Our study found that the beliefs, perceptions and attitudes surrounding preterm birth, held by families, communities, healthcare providers and society at large, influence the care that preterm newborn–mother dyads receive both at home and within health facilities. Addressing these requires a multifaceted approach targeted at deeply ingrained attitudes and perceptions.

This study aims to assess the feasibility of respondent-driven sampling (RDS) to recruit participants with recent abortion experiences in humanitarian contexts, and describe the composition of the study sample generated with this sampling method.

This was a three-phase mixed-methods community-engaged research study employing an exploratory and explanatory sequential approach. We conducted in-depth interviews, focus group discussions, an interviewer-administered questionnaire on abortion experiences and a health facility assessment.

Bidibidi Refugee Settlement, Uganda and Kakuma Refugee Camp, Kenya from November 2021 to December 2022.

Using RDS, we recruited 600 participants in Kakuma and 601 participants in Bidibidi with recent abortion experiences. In Kakuma, participants were primarily from Burundi, the Democratic Republic of the Congo and South Sudan; participants in Bidibidi were primarily from South Sudan. Most participants in both sites had completed at least some primary school and were not employed.

RDS recruitment dynamics: convergence and bottlenecks on key sociodemographic variables, recruitment and population homophily, reciprocity of social ties, success and experiences recruiting.

There were minor violations of RDS assumptions, particularly regarding assumptions of reciprocity of ties and seed composition independent of sample. In addition, there was a strong tendency of participants to recruit those from the same home country and living within the same camp zone. However, sample proportions for age, home country, marital status, zone of residence and student status reached equilibrium (stabilised) by around 500 participants at each site, and we were able to quickly attain the study sample size.

While the true representativeness of our sample remains unknown, RDS is a practical and effective recruitment method in humanitarian contexts for sensitive topics, particularly for research questions in which no data or sampling frames exist. However, attention to representativeness and community engagement is essential to optimising its application and ensuring success.

This study aims to assess the economic feasibility and broader policy implications of the Korea International Cooperation Agency’s (KOICA) official development assistance (ODA) projects for the COVID-19 emergency response in Uzbekistan through a cost–benefit analysis. The primary research question is to evaluate whether the interventions provide sufficient economic returns relative to their costs while informing future pandemic preparedness of response strategies.

A cost–benefit analysis using quantitative methods was performed to assess the financial impact of the COVID-19 ODA projects.

The study was conducted in Uzbekistan, focusing on KOICA’s COVID-19 emergency response projects from January 2020 to December 2021.

The intervention involved the implementation of KOICA’s COVID-19 emergency response activities, including early diagnosis support, establishment of rapid response bases, provision of medical equipment and emergency relief efforts in Uzbekistan.

The primary outcome measure is the net present value (NPV) and benefit/cost ratio of the project. Secondary outcome measures are the project’s effectiveness in terms of death prevention, reduction in medical costs and timely COVID-19 testing.

The analysis revealed a total programme cost of US$11 353 173, with a net benefit ranging from US$21 026 032 to US$34 573 403, and a benefit/cost ratio between 1.85 and 3.05. A detailed examination of costs and benefits highlighted the programme’s positive NPV and benefit/cost ratio, indicating its economic feasibility. The study also underscored the programme’s effectiveness in preventing deaths, reducing medical costs and providing timely COVID-19 testing.

The findings confirm that KOICA’s COVID-19 emergency response projects in Uzbekistan were economically viable and effective. The study highlights the importance of integrating economic evaluations into ODA assessments, particularly for emergency response and infectious disease control. It recommends expanding the use of quantitative analysis to optimise resource allocation and improve decision-making in future global health crises.