ArticleBMC pregnancy and childbirth2024
Exploring the implementation of an SMS-based digital health tool on maternal and infant health in informal settlements.
Article in BMC pregnancy and childbirth, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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Who cites it
9 citing papers in PubMed.
- Article
- Scaling Smart: The Potential of Digital Strategies to Promote Breastfeeding in Low- and Middle-Income Countries.Maternal & child nutrition · 2026Article
- Beyond functional utility: ethical stewardship as a driver of digital healthcare platform adoption in low-resource settings.International journal for equity in health · 2026Article
- Artificial intelligence and the future of maternal and newborn health in low-income countries: advancing equity, early detection, and health system resilience.Frontiers in public health · 2026Review
- Telemedicine Adoption and Prospects in Sub-Sahara Africa: A Systematic Review with a Focus on South Africa, Kenya, and Nigeria.Healthcare (Basel, Switzerland) · 2025Review
- A scoping review of digital technologies in antenatal care: recent progress and applications of digital technologies.BMC pregnancy and childbirth · 2025Article
- The role of AI in reducing maternal mortality: Current impacts and future potentials: Protocol for an analytical cross-sectional study.PloS one · 2025Article
- Engaging fathers(to-be): a pilot study on the adaptation and programme experience of SMS4baba intervention in Kenya's informal settlements.BMC public health · 2024Article
- Article
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Authors and funding
8 authors.
Funding
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Abstract
backgroundThe rapid urbanization of Kenya has led to an increase in the growth of informal settlements. There are challenges with access to maternal, newborn, and child health (MNCH) services and higher maternal mortality rates in settlements. The Kuboresha Afya Mitaani (KAM) study aimed to improve access to MNCH services. We evaluate one component of the KAM study, PROMPTS (Promoting Mothers through Pregnancy and Postpartum), an innovative digital health intervention aimed at improving MNCH outcomes. PROMPTS is a two-way AI-enabled SMS-based platform that sends messages to pregnant and postnatal mothers based on pregnancy stage, and connects mothers with a clinical help desk to respond and refer urgent cases in minutes.
methodsPROMPTS was rolled out in informal settlements in Mathare and Kawangware in Nairobi County. The study adopted a pre-post intervention design, comparing baseline and endline population outcomes (1,416 participants, Baseline = 678, Endline = 738). To further explore PROMPTS's effect, outcomes were compared between endline participants enrolled and not enrolled in PROMPTS (738 participants). Outcomes related to antenatal (ANC) and postnatal (PNC) service uptake and knowledge were assessed using univariate and multivariate linear and logistic regression.
resultsBetween baseline and enldine, mothers were 1.85 times more likely to report their babies and 1.88 times more likely to report themselves being checked by a provider post-delivery. There were improvements in moms and babies receiving care on time. 45% of the 738 endline participants were enrolled in the PROMPTS program, with 87% of these participants sending at least one message to the system. Enrolled mothers were 2.28 times more likely to report completing four or more ANC visits relative to unenrolled mothers. Similarly, enrolled mothers were 4.20 times more likely to report their babies and 1.52 times more likely to report themselves being checked by a provider post-delivery compared to unenrolled mothers.
conclusionsThis research demonstrates that a digital health tool can be used to improve care-seeking and knowledge levels among pregnant and postnatal women in informal settlements. Additional research is needed to refine and target solutions amongst those that were less likely to enroll in PROMPTS and to further drive improved MNCH outcomes amongst this population.
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