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.

Our objective was to assess the feasibility of using the routine health information system data source, District Health Information System (DHIS2) to measure the effective coverage of selected health service indicators in Ethiopia and to explore stakeholder perceptions of those measures.

We conducted a mixed-methods study. We mapped the availability of data elements in DHIS2 between July 2022 and June 2023 for five indicators (four or more antenatal care visits (ANC4+), skilled birth attendance, postnatal care, sick child care and child nutrition care). We defined effective coverage cascade steps for each indicator, assessed data quality and analysed data using STATA V.17. Finally, qualitative interviews were conducted with 15 key stakeholders, and the data were analysed thematically for reflections on the DHIS2 output.

The data were captured from all public health facilities of 11 regions and 2 administrative cities in Ethiopia.

There was better availability of data elements for maternal healthcare than for child healthcare. It was possible to estimate the intervention-adjusted coverage of ANC4+ (16% nationally) and the process-quality-adjusted coverage of skilled birth attendance (19% nationally). Postnatal care, sick child care and child nutrition indicators lacked data across multiple cascade steps. The quality of data for effective coverage measurement differed by region. The key informants expressed concerns about the adequacy and appropriateness of DHIS2 data for this analysis. While all acknowledged its potential for decision-making, respondents emphasised the need for standardised methods and data sources to enhance comparability and acceptability of the findings.

The findings underscore the need for system-level improvement of data availability and quality, and adoption of a standardised approach to calculating effective coverage using DHIS2. There was a concern that the findings may not be accepted by policymakers; however, the local level granularity made possible through DHIS2 was appreciated.