Qualitative Analysis in Maternal Health: BEP Lessons

The PLoS One study published on November 4, 2026, found that antenatal care is a viable platform for balanced energy protein supplementation, but implementation is constrained by unclear definitions, limited provider capacity, supply problems, weak monitoring, and concerns about sharing or selling supplements.

AI-enabled qualitative research can help maternal health teams organize these interconnected barriers by theme, compare stakeholder groups and countries, and identify implementation questions that require human judgment.

• The 2026 PLoS One landscape analysis used 13 key informant interviews conducted from August to December 2023 and reviewed antenatal care guidelines from six countries.
• The study reported that Ethiopia, Malawi, and Mozambique had revised national antenatal care guidelines to create an enabling environment for BEP introduction by November 2026.
• The study cited a 2021 systematic review of 15 randomized controlled and quasi-experimental trials across nine low- and middle-income countries, which associated antenatal BEP with reductions of 29% in small-for-gestational-age births, 40% in low birthweight, and 61% in stillbirth.
• The study reported that 64% of pregnant women globally attended at least four antenatal care visits, supporting antenatal care as a potential delivery platform.
• The study concluded that standardized BEP definitions, operational guidance, monitoring indicators, provider training, demand generation, and sustainable supply systems are needed for implementation.

The 2026 PLoS One landscape analysis found that BEP implementation depends on policy readiness, provider capability, supply chains, community acceptance, and routine monitoring rather than on product availability alone.

The researchers conducted 13 semi-structured interviews with global and country stakeholders from August to December 2023 and reviewed antenatal care guidelines from Colombia, Ethiopia, Ghana, Malawi, Mozambique, and Nepal. The researchers recorded, transcribed, translated where necessary, and analyzed the interviews thematically using Dedoose qualitative software version 10.0.

The study identified confusion about the definition and composition of BEP. The study described BEP as a supplement in which protein provides less than 25% of total energy and cited an expert composition range of 250 to 500 kilocalories, 14 to 18 grams of protein, and 3 to 33 grams of fat.

A Malawi NGO stakeholder said, “The government revised the ANC guidelines to align with the WHO guidance and included BEP as part of the key nutrition interventions for pregnant women.” The quotation illustrates how policy alignment can create an opening for implementation, while the wider findings show that guidelines alone do not guarantee delivery capacity.

A global donor organization stakeholder described training as essential, saying, “It is important to ensure that there are capacity building activities as well as proper training to provide or support quality counseling [for BEP].”

The study also found that stockouts, bulky products, unclear classification of BEP as food or medicine, household sharing, resale, limited counselling, and missing indicators could undermine routine delivery.

AI qualitative analysis can help maternal health teams turn large volumes of interview, guideline, and open-ended survey data into a structured implementation map, while researchers retain responsibility for interpretation and validation.

The 2026 PLoS One study shows why a single overall theme such as “BEP readiness” is insufficient. The researchers identified distinct themes involving definitions, government commitment, provider training, logistics, demand generation, compliance, local production, targeting, financing, and monitoring.

• Researchers can code policy readiness separately from provider readiness because the study found that revised guidelines in Ethiopia, Malawi, and Mozambique coexisted with gaps in training and service delivery.
• Researchers can compare stakeholder segments because the study included government, donor, multilateral, and NGO perspectives, which may describe the same implementation problem differently.
• Researchers can analyze negative cases because the study documented both the promise of local production and concerns that imported ingredients could prevent local manufacturing from improving affordability.
• Researchers can track behavioral mechanisms because the study linked supplement sharing and selling to food insecurity, household norms, taste, monotony, transport burden, and financial pressure.
• Researchers can connect qualitative themes to monitoring design because the study reported that none of the six examined countries routinely collected BEP data through health systems at the time of the analysis.

A qualitative workflow should not treat AI-generated themes as final evidence. The study's research team developed a codebook, refined it iteratively for emergent themes, analyzed transcripts independently, and resolved discrepancies through consensus. Those human quality controls remain important when AI assists with coding, summarization, comparison, or question answering.

The November 2026 PLoS One study shows that BEP introduction through routine antenatal care is an implementation challenge involving policy, providers, supply chains, social norms, financing, and monitoring. AI-enabled qualitative research can help maternal health teams analyze these connected issues across transcripts, documents, countries, and stakeholder groups more systematically. Researchers should combine AI-assisted synthesis with transparent coding decisions, source checking, participant protections, and expert review. To analyze maternal health interviews, guidelines, and open-ended survey data with AI support, try Evidano for free.