AI Qualitative Data Analysis for Maternal Health Research

According to the November 4, 2026 PLOS One study on balanced energy and protein supplementation, routine antenatal care is a viable platform for balanced energy and protein supplementation, but unclear definitions, limited provider capacity, supply problems, weak monitoring, and social norms can obstruct implementation.

AI qualitative data analysis can help maternal health researchers move from interview transcripts and policy documents to traceable themes, cross-country comparisons, and implementation priorities without replacing methodological review or researcher judgment.

• From August to December 2023, the PLOS One study used 13 semi-structured key informant interviews and national antenatal care guideline reviews from six countries.
• The PLOS One study reported that Ethiopia, Malawi, and Mozambique had revised national antenatal care guidelines to create an enabling environment for balanced energy and protein supplementation.
• A 2021 systematic review cited by the PLOS One study found that balanced energy and protein supplementation reduced small-for-gestational-age births by 29%, low birthweight by 40%, and stillbirth by 61% across nine low- and middle-income countries.
• The PLOS One study reported that 64% of pregnant women globally attended at least four antenatal care visits, supporting antenatal care as a potential delivery platform.
• The PLOS One study identified the need for standardized definitions, provider training, reliable supplies, demand-generation strategies, and routine indicators before balanced energy and protein supplementation can be scaled sustainably.

The PLOS One study found that balanced energy and protein supplementation could be integrated into routine antenatal care, but implementation readiness varied across policy, services, supply chains, demand, and monitoring.

The researchers conducted 13 online key informant interviews between August and December 2023 with global and country stakeholders working in maternal health and nutrition. The researchers also reviewed antenatal care guidelines from Colombia, Ethiopia, Ghana, Malawi, Mozambique, and Nepal. Three research team members developed and refined a codebook, independently analyzed transcripts in Dedoose 10.0, and resolved initial coding differences through consensus.

The PLOS One study found confusion about the definition and composition of balanced energy and protein products. One multilateral organization stakeholder said, "If you look at the [WHO] guideline, it’s not clearly defined in terms of what the exact composition of BEP is."

The study also identified weaknesses in provider training, stockouts, parallel supply systems, uncertainty about whether products should be classified as food or medicine, and limited routine monitoring. A global donor organization stakeholder summarized the implementation requirement by 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 PLOS One study reported that social and household conditions could affect adherence. A 2024 Ethiopian study cited by the authors found that 57% of pregnant women shared balanced energy and protein supplements with children or husbands because eating alone was considered a taboo.

The PLOS One study reported that balanced energy and protein products are generally defined as supplements in which protein contributes less than 25% of total energy, with an expert consultation recommending 250 to 500 kilocalories, 14 to 18 grams of protein, and 3 to 33 grams of fat.

Maternal health researchers should analyze implementation barriers as connected themes rather than isolated findings. The PLOS One study shows how definition, training, logistics, acceptability, household behavior, financing, and monitoring can interact across the same program.

AI qualitative data analysis is especially useful when a research team needs to compare stakeholder groups or countries. Researchers can organize codes such as provider capacity, stockouts, cultural acceptability, sharing, selling, targeting, and sustainability, then examine which themes recur in government, donor, NGO, and country-level interviews.

The PLOS One study demonstrates why frequency alone is insufficient. A frequently mentioned stockout may signal a supply-chain problem, while a less frequent comment about product taste or household sharing may explain why distribution does not produce intended consumption. AI-assisted analysis can surface both recurring patterns and distinctive but strategically important quotations, while researchers validate interpretations against the original transcripts.

A practical workflow is to combine deductive and inductive coding. The PLOS One researchers began with themes from a conceptual framework and refined their codebook with emergent themes. AI can accelerate the first-pass organization, suggest related subthemes, and support cross-segment comparisons, while trained researchers retain responsibility for code definitions, context, negative cases, and final conclusions.

The 2026 PLOS One study shows that balanced energy and protein supplementation has potential through routine antenatal care, but successful implementation depends on more than policy guidance or product availability. Researchers need qualitative methods that connect stakeholder perspectives with country context, service readiness, supply chains, demand, and monitoring.

AI qualitative data analysis can make that evidence easier to organize and compare, especially when projects combine interviews, guidelines, reports, and multilingual documents. Evidano helps research teams turn those sources into structured themes, cross-segment findings, and evidence-based questions for further review.

To analyze qualitative evidence more efficiently while keeping researchers in control of interpretation, try Evidano for free.